Conference Papers
2025
C.-P. Huang, Y.-H. Wu, M.-H. Chen, Y.-C. F. Wang, F.-E. Yang, "ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning", Neural Information Processing Systems (NeurIPS), December 2025.
H.-C. Lin, Y.-C. Yu, K.-P. Chang, Y.-C. F. Wang, "EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction", Neural Information Processing Systems (NeurIPS), December 2025.
B.-K. Lee, R. Hachiuma, Y. M. Ro, Y.-C. F. Wang, Y.-H. Wu, "Unified Reinforcement and Imitation Learning for Vision-Language Models", Neural Information Processing Systems (NeurIPS), December 2025.
Y.-C. Liao · J.-J. Chen · C.-P. Huang · C.-S. Lin · M.-L. Wu · Y.-C. F. Wang, "Continual Personalization for Diffusion Models", IEEE International Conference on Computer Vision (ICCV), October 2025.
Y. Hirota, R. Hachiuma, B. Li, X. Lu, M. R, Boone, B. Ivanovic, Y. Choi, M., Y.-C. F. Wang, N. Garcia, Y. Nakashima, H. Yang, "Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation", IEEE International Conference on Computer Vision (ICCV), October 2025.
Y.-J. Cheng, Y.-C. Yu, K.-P. Chang, Y.-C. F. Wang, "Serial Lifelong Editing via Mixture of Knowledge Experts", Association for Computational Linguistics (ACL), July 2025.
C.-P. Huang, Y.-S. Wu, H.-K. Chung, K.-P. Chang, F.-E. Yang, Y.-C. F. Wang, "VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
Y.-H. Lai, J. Ebbers, Y.-C. F. Wang, F. Germain, M. J. Jones, M. Chatterjee, "UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
S.-Y. Huang, Z.-T. Chou, Y.-C. F. Wang, "3D Gaussian Inpainting with Depth-Guided Cross-View Consistency", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
B.-K. Lee, R. Hachiuma, Y.-C. F. Wang, Y. M. Ro, K. Wu, "VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
Kim J.-S., Kim G.-U., Kim Y.-J., Y.-C. F. Wang, J. Choe, T.-H. Oh, "Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
J. Lee, C. Park, J. Choe, Y.-C. F. Wang, J. Kautz, M. Cho, C. Choy, "Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
M. Heo, M.-H. Chen, D.-A. Huang, S. Liu, S. Radhakrishnan, S. J. Kim, Y.-C. F. Wang, R. Hachiuma, "Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
W. Tai, Y.-L. Shih, C. Sun, Y.-C. F. Wang, H.-T. Chen, "Segment Anything, Even Occluded", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
C. Sun, J. Choe, C. Loop, W.-C. Ma, Y.-C. F. Wang, "Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
H.-K. Chiu, R. Hachiuma, C.-Y. Wang, S. F. Smith, Y.-C. F. Wang, M.-H. Chen, "V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models", IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW, Oral), June 2025.
Y. Hirota, M.-H. Chen, C.-Y. Wang, Y. Nakashima, Y.-C. F. Wang, R. Hachiuma, "SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP", International Conference on Learning Representations (ICLR), April 2025.
A. H. Liu, S. Lee, C.-H. H. Yang, Y. Gong, Y.-C. F. Wang, J. R. Glass, R. Valle, B. Catanzaro, "UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation", International Conference on Learning Representations (ICLR), April 2025.
C.-S. Lin, C.-Y. Wang, Y.-C. F. Wang, M.-H. Chen, "Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation", IEEE Winter Conference on Applications of Computer Vision (WACV), Feb 2025.
T.-Y. Wu*, S.-Y. Huang*, Y.-C. F. Wang, "Data-Efficient 3D Visual Grounding via Order-Aware Referring", IEEE Winter Conference on Applications of Computer Vision (WACV), Feb 2025.
H.-C. Lin, Y.-C. Yu, K.-P. Chang, Y.-C. F. Wang, "EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction", Neural Information Processing Systems (NeurIPS), December 2025.
B.-K. Lee, R. Hachiuma, Y. M. Ro, Y.-C. F. Wang, Y.-H. Wu, "Unified Reinforcement and Imitation Learning for Vision-Language Models", Neural Information Processing Systems (NeurIPS), December 2025.
Y.-C. Liao · J.-J. Chen · C.-P. Huang · C.-S. Lin · M.-L. Wu · Y.-C. F. Wang, "Continual Personalization for Diffusion Models", IEEE International Conference on Computer Vision (ICCV), October 2025.
Y. Hirota, R. Hachiuma, B. Li, X. Lu, M. R, Boone, B. Ivanovic, Y. Choi, M., Y.-C. F. Wang, N. Garcia, Y. Nakashima, H. Yang, "Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation", IEEE International Conference on Computer Vision (ICCV), October 2025.
Y.-J. Cheng, Y.-C. Yu, K.-P. Chang, Y.-C. F. Wang, "Serial Lifelong Editing via Mixture of Knowledge Experts", Association for Computational Linguistics (ACL), July 2025.
C.-P. Huang, Y.-S. Wu, H.-K. Chung, K.-P. Chang, F.-E. Yang, Y.-C. F. Wang, "VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
Y.-H. Lai, J. Ebbers, Y.-C. F. Wang, F. Germain, M. J. Jones, M. Chatterjee, "UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
S.-Y. Huang, Z.-T. Chou, Y.-C. F. Wang, "3D Gaussian Inpainting with Depth-Guided Cross-View Consistency", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
B.-K. Lee, R. Hachiuma, Y.-C. F. Wang, Y. M. Ro, K. Wu, "VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
Kim J.-S., Kim G.-U., Kim Y.-J., Y.-C. F. Wang, J. Choe, T.-H. Oh, "Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
J. Lee, C. Park, J. Choe, Y.-C. F. Wang, J. Kautz, M. Cho, C. Choy, "Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
M. Heo, M.-H. Chen, D.-A. Huang, S. Liu, S. Radhakrishnan, S. J. Kim, Y.-C. F. Wang, R. Hachiuma, "Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
W. Tai, Y.-L. Shih, C. Sun, Y.-C. F. Wang, H.-T. Chen, "Segment Anything, Even Occluded", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
C. Sun, J. Choe, C. Loop, W.-C. Ma, Y.-C. F. Wang, "Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2025.
H.-K. Chiu, R. Hachiuma, C.-Y. Wang, S. F. Smith, Y.-C. F. Wang, M.-H. Chen, "V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models", IEEE International Conference on Computer Vision and Pattern Recognition Workshops (CVPRW, Oral), June 2025.
Y. Hirota, M.-H. Chen, C.-Y. Wang, Y. Nakashima, Y.-C. F. Wang, R. Hachiuma, "SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP", International Conference on Learning Representations (ICLR), April 2025.
A. H. Liu, S. Lee, C.-H. H. Yang, Y. Gong, Y.-C. F. Wang, J. R. Glass, R. Valle, B. Catanzaro, "UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation", International Conference on Learning Representations (ICLR), April 2025.
C.-S. Lin, C.-Y. Wang, Y.-C. F. Wang, M.-H. Chen, "Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation", IEEE Winter Conference on Applications of Computer Vision (WACV), Feb 2025.
T.-Y. Wu*, S.-Y. Huang*, Y.-C. F. Wang, "Data-Efficient 3D Visual Grounding via Order-Aware Referring", IEEE Winter Conference on Applications of Computer Vision (WACV), Feb 2025.
2024
J.-J. Chen, Y.-C. Liao, H.-C. Lin, Y.-C. Yu, Y.-C. Chen, Y.-C. F. Wang, "ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos", Neural Information Processing Systems (NeurIPS), December 2024.
C.-P. Huang*, K.-P. Chang*, C.-T. Tsai, Y.-H. Lai, F.-E. Yang, Y.-C. F. Wang, "Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers", European Conference on Computer Vision (ECCV), September 2024.
Y.-C. Yu, C.-P. Huang, J.-J. Chen, K.-P. Chang, Y.-H. Lai, F.-E. Yang, Y.-C. F. Wang, "Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models", European Conference on Computer Vision (ECCV), September 2024.
B.-S. Wu*, H.-E. Chen*, S.-Y. Huang, Y.-C. F. Wang, "TPA3D: Triplane Attention for Fast Text-to-3D Generation", European Conference on Computer Vision (ECCV), September 2024.
S.-Y. Liu, C.-Y. Wang, H. Yin, P. Molchanov, Y.-C. F. Wang, K.-T. Cheng, M.-H. Chen, "DoRA: Weight-Decomposed Low-Rank Adaptation", International Conference on Machine Learning (ICML), Jul 2024.
Z.-T. Chou*, S.-Y. Huang*, I.-J. Liu, Y.-C. F. Wang, "GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2024.
K.-P. Chang, C.-P. Huang, W.-Y. Cheng, F.-E. Yang, C.-Y. Wang, Y.-H. Lai, Y.-C. F. Wang, "RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering", International Conference on Learning Representations (ICLR), May. 2024.
S.-W. Fu, K.-H. Hung, Y. Tsao, Y.-C. F. Wang, "Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech", International Conference on Learning Representations (ICLR), May. 2024.
I.-J. Liu, C.-S. Lin, F.-E. Yang, Y.-C. F. Wang, "Language-Guided Transformer for Federated Multi-Label Classification", The 38th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2024.
2023
C.-F. Yang, Y.-C. Chen, J. Yang, X. Dai, L. Yuan, Y.-C. F. Wang, K.-W. Chang, "LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following", the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), December 2023.
Y.-H. Lai, Y.-C. Chen, Y.-C. F. Wang, "Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser", Neural Information Processing Systems (NeurIPS), December 2023.
F.-E. Yang, C.-Y. Wang, Y.-C. F. Wang, "Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation", IEEE International Conference on Computer Vision (ICCV), October 2023.
Y.-S. Huang, S.-Y. Huang, H.-Y. Hsu, Y.-C. F. Wang, "Interpreting Latent Representation In Neural Radiance Fields for Manipulating Object Semantics", IEEE International Conference on Image Processing (ICIP), October 2023
C.-A. Yang, M.-L. Wu, R. A. Yeh, Y.-C. F. Wang, "Consistent And Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting", IEEE International Conference on Image Processing (ICIP), October 2023
Y.-Y. Hsu, C.-S. Lin, and Y.-C. F. Wang, "Bias-Eliminating Augmentation Learning for Debiased Federated Learning", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2023.
Y.-H. Chen, F.-C. Pan, Y.-C. Liao, J.-H. Kao, Y.-C. F. Wang, "Semantics-Aware Gamma Correction for Unsupervised Low-Light Image Enhancement", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023.
W.-C. Fan, Y.-C. Chen, D. Chen, Y. Cheng, L. Yuan, Y.-C. F. Wang, "Feature Pyramid Diffusion for Complex Scene Image Synthesis", The 37th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2023.
W.-C. Fan, C.-F. Yang, C.-A. Yang, Y.-C. F. Wang, "Target-free Text-guided Image Manipulation", The 37th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2023.
C.-Y. Hsieh, C.-J. Chang, F.-E. Yang, Y.-C. F. Wang, "Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond", IEEE Winter Conference on Applications of Computer Vision (WACV), Jan 2023.
Y.-H. Lai, Y.-C. Chen, Y.-C. F. Wang, "Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser", Neural Information Processing Systems (NeurIPS), December 2023.
F.-E. Yang, C.-Y. Wang, Y.-C. F. Wang, "Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation", IEEE International Conference on Computer Vision (ICCV), October 2023.
Y.-S. Huang, S.-Y. Huang, H.-Y. Hsu, Y.-C. F. Wang, "Interpreting Latent Representation In Neural Radiance Fields for Manipulating Object Semantics", IEEE International Conference on Image Processing (ICIP), October 2023
C.-A. Yang, M.-L. Wu, R. A. Yeh, Y.-C. F. Wang, "Consistent And Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting", IEEE International Conference on Image Processing (ICIP), October 2023
Y.-Y. Hsu, C.-S. Lin, and Y.-C. F. Wang, "Bias-Eliminating Augmentation Learning for Debiased Federated Learning", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2023.
Y.-H. Chen, F.-C. Pan, Y.-C. Liao, J.-H. Kao, Y.-C. F. Wang, "Semantics-Aware Gamma Correction for Unsupervised Low-Light Image Enhancement", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), June 2023.
W.-C. Fan, Y.-C. Chen, D. Chen, Y. Cheng, L. Yuan, Y.-C. F. Wang, "Feature Pyramid Diffusion for Complex Scene Image Synthesis", The 37th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2023.
W.-C. Fan, C.-F. Yang, C.-A. Yang, Y.-C. F. Wang, "Target-free Text-guided Image Manipulation", The 37th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2023.
C.-Y. Hsieh, C.-J. Chang, F.-E. Yang, Y.-C. F. Wang, "Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond", IEEE Winter Conference on Applications of Computer Vision (WACV), Jan 2023.
2022
C.-F. Yang, Y.-H. H. Tsai, W.-C. Fan, R. Salakhudinov, L.-P. Morency, Y.-C. F. Wang, "Paraphrasing Is All You Need for Novel Object Captioning", Neural Information Processing Systems (NeurIPS), December 2022.
S.-Y. Huang*, H.-Y. M. Hsu*, Y.-C. F. Wang, "SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion", Neural Information Processing Systems (NeurIPS), December 2022.
Y.-Y. Hsu, Y.-Y. Ji, S.-Y. Huang, Z.-H. Lin, Y.-C. F. Wang, "3D-SelfCutMix: Self-Supervised Learning for 3D Point Cloud Analysis", IEEE International Conference on Image Processing (ICIP), October 2022
Z.-H. Lin, W.-C. Ma, H.-Y. M. Hsu, Y.-C. F. Wang, S. Wang, "NeurMiPs: Neural Mixture of Planar Experts for View Synthesis", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. (PDF)
C.-A. Yang, C.-Y. Tan, W.-C. Fan, C.-F. Yang, M.-L. Wu, and Y.-C. F. Wang, "Scene Graph Expansion for Semantics-Guided Image Outpainting", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. (PDF)
C.-C. Yang, W.-C. Fan, C.-F. Yang, and Y.-C. F. Wang, "Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation", The 36th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2022 (oral presentation).
Y.-H. Lee, F.-E. Yang, Y.-C. F. Wang, "A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation", IEEE Winter Conference on Applications of Computer Vision (WACV), Jan 2022. (PDF)
S.-Y. Huang*, H.-Y. M. Hsu*, Y.-C. F. Wang, "SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion", Neural Information Processing Systems (NeurIPS), December 2022.
Y.-Y. Hsu, Y.-Y. Ji, S.-Y. Huang, Z.-H. Lin, Y.-C. F. Wang, "3D-SelfCutMix: Self-Supervised Learning for 3D Point Cloud Analysis", IEEE International Conference on Image Processing (ICIP), October 2022
Z.-H. Lin, W.-C. Ma, H.-Y. M. Hsu, Y.-C. F. Wang, S. Wang, "NeurMiPs: Neural Mixture of Planar Experts for View Synthesis", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. (PDF)
C.-A. Yang, C.-Y. Tan, W.-C. Fan, C.-F. Yang, M.-L. Wu, and Y.-C. F. Wang, "Scene Graph Expansion for Semantics-Guided Image Outpainting", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2022. (PDF)
C.-C. Yang, W.-C. Fan, C.-F. Yang, and Y.-C. F. Wang, "Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation", The 36th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2022 (oral presentation).
Y.-H. Lee, F.-E. Yang, Y.-C. F. Wang, "A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation", IEEE Winter Conference on Applications of Computer Vision (WACV), Jan 2022. (PDF)
2021
F.-E. Yang, Y.-C. Cheng, Z.-Y. Shiau, Y.-C. F. Wang, "Adversarial Teacher-Student Representation Learning for Domain Generalization", Neural Information Processing Systems (NeurIPS), December 2021. (top 3% for spotlight presentation) (PDF)
H.-H. Yang, F.-E. Wang, C. Sun, K.-C. Huang, H.-W. Chen, Y. Chen, H.-C. Chen, C.-Y. Liao, S.-H. Kao, Y.-C. F. Wang, C.-J. Lan, "Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection," the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2021. (PDF)
Y.-C. Cheng, C.-S. Lin, F.-E. Yang, Y.-C. F. Wang, "Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
Z.-Y. Shiau, W.-W. Lin, C.-S. Lin, Y.-C. F. Wang, "Meta-Learned Feature Critics for Domain-Generalized Semantic Segmentation", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
C.-S. Lin, Y.-C. F. Wang, "Self-Supervised Bodymap-to-Appearance Co-Attention for Partial Person Re-Identification", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
S.-F. Chen, J.-W. Yan, Y.-F. Su, Y.-C. F. Wang, "Representation Decomposition for Image Manipulation and Beyond", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
C.-Y. Tan, C.-A. Yang, S.-F. Chen, M.-L. Wu, Y.-C. F. Wang, "Robust Image Outpainting with Learnable Image Margins", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
C.-F. Yang*, W.-C. Fan*, F.-E. Yang, Y.-C. F. Wang, "LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2021 (* indicates equal contributions). (PDF, Code)
Y.-B. Lin, Y.-C. F. Wang, "Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation", The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021
H.-H. Yang, F.-E. Wang, C. Sun, K.-C. Huang, H.-W. Chen, Y. Chen, H.-C. Chen, C.-Y. Liao, S.-H. Kao, Y.-C. F. Wang, C.-J. Lan, "Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection," the 24th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2021. (PDF)
Y.-C. Cheng, C.-S. Lin, F.-E. Yang, Y.-C. F. Wang, "Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
Z.-Y. Shiau, W.-W. Lin, C.-S. Lin, Y.-C. F. Wang, "Meta-Learned Feature Critics for Domain-Generalized Semantic Segmentation", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
C.-S. Lin, Y.-C. F. Wang, "Self-Supervised Bodymap-to-Appearance Co-Attention for Partial Person Re-Identification", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
S.-F. Chen, J.-W. Yan, Y.-F. Su, Y.-C. F. Wang, "Representation Decomposition for Image Manipulation and Beyond", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
C.-Y. Tan, C.-A. Yang, S.-F. Chen, M.-L. Wu, Y.-C. F. Wang, "Robust Image Outpainting with Learnable Image Margins", IEEE International Conference on Image Processing (ICIP), September 2021 (PDF)
C.-F. Yang*, W.-C. Fan*, F.-E. Yang, Y.-C. F. Wang, "LayoutTransformer: Scene Layout Generation with Conceptual and Spatial Diversity", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2021 (* indicates equal contributions). (PDF, Code)
Y.-B. Lin, Y.-C. F. Wang, "Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation", The 35th AAAI Conference on Artificial Intelligence (AAAI), Feb. 2021
2020
F.-E. Yang*, J.-C. Chang*, Y.-H. Lee, and Y.-C. F. Wang, "Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis", International Conference on Pattern Recognition (ICPR), Jan. 2021. (PDF)
C.-S. Lin, Y.-C. Cheng and Y.-C. F. Wang, "Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning", International Conference on Pattern Recognition (ICPR), Jan. 2021. (PDF)
J.-W. Yan, C.-S. Lin, F.-E. Yang, Y.-J. Li and Y.-C. F. Wang, "Semantics-Guided Representation Learning with Applications to Visual Synthesis", International Conference on Pattern Recognition (ICPR), Jan. 2021. (PDF)
F.-G. Su, C.-S. Lin, and Y.-C. F. Wang, "Learning Interpretable Representation for 3D Point Clouds", International Conference on Pattern Recognition (ICPR), Jan. 2021.
Y.-B. Lin, and Y.-C. F. Wang, "Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization", Asian Conference on Computer Vision (ACCV), November 2020. (PDF)
Y.-T. Liu, Y.-J. Li, and Y.-C. F. Wang, "Transforming Multi-Concept Attention into Video Summarization", Asian Conference on Computer Vision (ACCV), November 2020. (PDF)
W.-Y. Lee and Y.-C. F. Wang, "Learning Disentangled Feature Representations for Anomaly Detection", IEEE International Conference on Image Processing (ICIP), October 2020.
C.-W. Wu, C.-T. Liu, W.-C. Tu, Y. Tsao, Y.-C. F. Wang, and S.-Y. Chien, "Space-time Guided Association Learning for Unsupervised Person Re-Identification", IEEE International Conference on Image Processing (ICIP), October 2020
Y.-C. Chen, C.-T. Chou, and Y.-C. F. Wang, "Learning to learn in a semi-supervised fashion", European Conference on Computer Vision (ECCV), August 2020. (PDF)
P.-H. Huang, F.-E. Yang, Y.-C. F. Wang, "Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2020. (PDF)
Z.-H. Lin, S.-Y. Huang, Y.-C. F. Wang, "Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2020. (PDF)
C.-H. Chao*, P.-L. Hsu*, H.-Y. Lee, Y.-C. F. Wang, "Self-Supervised Deep Learning for Fisheye Image Rectification", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020. (PDF)
C.-Y. Fan, C.-P. Liu, K.-C. Wang, J.-H. Jhan, Y.-C. F. Wang, J.-C. Chen, "Face Feature Recovery via Temporal Fusion for Person Search", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020. (PDF)
C.-S. Lin, Y.-C. Cheng and Y.-C. F. Wang, "Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning", International Conference on Pattern Recognition (ICPR), Jan. 2021. (PDF)
J.-W. Yan, C.-S. Lin, F.-E. Yang, Y.-J. Li and Y.-C. F. Wang, "Semantics-Guided Representation Learning with Applications to Visual Synthesis", International Conference on Pattern Recognition (ICPR), Jan. 2021. (PDF)
F.-G. Su, C.-S. Lin, and Y.-C. F. Wang, "Learning Interpretable Representation for 3D Point Clouds", International Conference on Pattern Recognition (ICPR), Jan. 2021.
Y.-B. Lin, and Y.-C. F. Wang, "Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization", Asian Conference on Computer Vision (ACCV), November 2020. (PDF)
Y.-T. Liu, Y.-J. Li, and Y.-C. F. Wang, "Transforming Multi-Concept Attention into Video Summarization", Asian Conference on Computer Vision (ACCV), November 2020. (PDF)
W.-Y. Lee and Y.-C. F. Wang, "Learning Disentangled Feature Representations for Anomaly Detection", IEEE International Conference on Image Processing (ICIP), October 2020.
C.-W. Wu, C.-T. Liu, W.-C. Tu, Y. Tsao, Y.-C. F. Wang, and S.-Y. Chien, "Space-time Guided Association Learning for Unsupervised Person Re-Identification", IEEE International Conference on Image Processing (ICIP), October 2020
Y.-C. Chen, C.-T. Chou, and Y.-C. F. Wang, "Learning to learn in a semi-supervised fashion", European Conference on Computer Vision (ECCV), August 2020. (PDF)
P.-H. Huang, F.-E. Yang, Y.-C. F. Wang, "Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2020. (PDF)
Z.-H. Lin, S.-Y. Huang, Y.-C. F. Wang, "Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2020. (PDF)
C.-H. Chao*, P.-L. Hsu*, H.-Y. Lee, Y.-C. F. Wang, "Self-Supervised Deep Learning for Fisheye Image Rectification", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020. (PDF)
C.-Y. Fan, C.-P. Liu, K.-C. Wang, J.-H. Jhan, Y.-C. F. Wang, J.-C. Chen, "Face Feature Recovery via Temporal Fusion for Person Search", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020. (PDF)
2019
Y.-J. Li, C.-S. Lin, Y.-B. Lin, Y.-C. F. Wang, "Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation", IEEE International Conference on Computer Vision (ICCV), October 2019. (PDF)
Y.-J. Li*, Y.-C. Chen*, Y.-Y. Lin, X. Du, Y.-C. F. Wang, "Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification", IEEE International Conference on Computer Vision (ICCV), October 2019 (PDF)
H.-J. Peng, C.-M. Wang, Y.-C. F. Wang, "Element-Embedded Style Transfer Networks for Style Harmonization", British Machine Vision Conference (BMVC), September 2019 (PDF)
Y.-C. Chen, K.-J. Chang, Y.-H. Tsai, Y.-C. F. Wang, W.-C. Chiu, "Guide Your Eyes: Learning Image Manipulation under Saliency Guidance", British Machine Vision Conference (BMVC), September 2019 (PDF)
C.-T. Liu, C.-W. Wu, Y.-C. F. Wang, "Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification", British Machine Vision Conference (BMVC), September 2019 (PDF)
C.-Y. Yang, C.-H. Lo, Y.-C. F. Wang, "Weakly-supervised Learning for Attention-guided Skull Fracture Classification in Computed Tomography Imaging", IEEE International Conference on Image Processing (ICIP), September 2019. (PDF)
C.-C. Lin, Y.-C. F. Wang, C.-L. Lei, K.-T. Chen, "Semantics-guided Data Hallucination for Few-shot Visual Classification", IEEE International Conference on Image Processing (ICIP), September 2019. (PDF)
Y.-T. Liu, Y.-J. Li, F.-E. Yang, S.-F. Chen, Y.-C. F. Wang, "Learning Hierarchical Self-Attention for Video Summarization", IEEE International Conference on Image Processing (ICIP), September 2019. (PDF)
P.-Y. Chen, A.-H. Liu, Y.-C. Liu, Y.-C. F. Wang, "Towards Scene Understanding: Unsupervised Monocular Depth Estimation with Semantic-aware Representation", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019 (Oral Presentation) (PDF)
W.-H. Chu, Y.-J. Li, J.-C. Chang, Y.-C. F. Wang, "Spot and Learn: A Maximum-Entropy Image Patch Sampler for Few-Shot Classification", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019 (PDF)
Y.-L. Liao*, Y.-C. Yang*, Y.-F. Lin, P.-J. Chen, C.-W. Kuo, W.-C. Chiu, Y.-C. F. Wang, "Learning Pose-Aware 3D Reconstruction via 2D-3D Self-Consistency", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019 (PDF)
W.-Y. Lee, P.-Y. Chuang, Y.-C. F. Wang, "Perceptual Quality Preserving Image Super-Resolution via Channel Attention", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019 (PDF)
Y.-B. Lin, Y.-J. Li, Y.-C. F. Wang, "Dual-modality Seq2Seq Network for Audio-Visual Event Localization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019 (PDF)
W.-Y. Chen, Y.-C. Liu, Z. Kira, Y.-C. F. Wang, J.-B. Huang, "A Closer Look at Few-shot Classification", International Conference on Learning Representation (ICLR), May 2019 (PDF)
Y.-C. Chen*, Y.-J. Li*, X. Du, Y.-C. F. Wang, "Learning Resolution-Invariant Deep Representations for Person Re-Identification", The 33rd AAAI Conference on Artificial Intelligence (AAAI), January 2019 (Oral Presentation) (* indicates equal contributions) (PDF)
Y.-J. Li*, Y.-C. Chen*, Y.-Y. Lin, X. Du, Y.-C. F. Wang, "Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification", IEEE International Conference on Computer Vision (ICCV), October 2019 (PDF)
H.-J. Peng, C.-M. Wang, Y.-C. F. Wang, "Element-Embedded Style Transfer Networks for Style Harmonization", British Machine Vision Conference (BMVC), September 2019 (PDF)
Y.-C. Chen, K.-J. Chang, Y.-H. Tsai, Y.-C. F. Wang, W.-C. Chiu, "Guide Your Eyes: Learning Image Manipulation under Saliency Guidance", British Machine Vision Conference (BMVC), September 2019 (PDF)
C.-T. Liu, C.-W. Wu, Y.-C. F. Wang, "Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification", British Machine Vision Conference (BMVC), September 2019 (PDF)
C.-Y. Yang, C.-H. Lo, Y.-C. F. Wang, "Weakly-supervised Learning for Attention-guided Skull Fracture Classification in Computed Tomography Imaging", IEEE International Conference on Image Processing (ICIP), September 2019. (PDF)
C.-C. Lin, Y.-C. F. Wang, C.-L. Lei, K.-T. Chen, "Semantics-guided Data Hallucination for Few-shot Visual Classification", IEEE International Conference on Image Processing (ICIP), September 2019. (PDF)
Y.-T. Liu, Y.-J. Li, F.-E. Yang, S.-F. Chen, Y.-C. F. Wang, "Learning Hierarchical Self-Attention for Video Summarization", IEEE International Conference on Image Processing (ICIP), September 2019. (PDF)
P.-Y. Chen, A.-H. Liu, Y.-C. Liu, Y.-C. F. Wang, "Towards Scene Understanding: Unsupervised Monocular Depth Estimation with Semantic-aware Representation", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019 (Oral Presentation) (PDF)
W.-H. Chu, Y.-J. Li, J.-C. Chang, Y.-C. F. Wang, "Spot and Learn: A Maximum-Entropy Image Patch Sampler for Few-Shot Classification", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019 (PDF)
Y.-L. Liao*, Y.-C. Yang*, Y.-F. Lin, P.-J. Chen, C.-W. Kuo, W.-C. Chiu, Y.-C. F. Wang, "Learning Pose-Aware 3D Reconstruction via 2D-3D Self-Consistency", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019 (PDF)
W.-Y. Lee, P.-Y. Chuang, Y.-C. F. Wang, "Perceptual Quality Preserving Image Super-Resolution via Channel Attention", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019 (PDF)
Y.-B. Lin, Y.-J. Li, Y.-C. F. Wang, "Dual-modality Seq2Seq Network for Audio-Visual Event Localization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2019 (PDF)
W.-Y. Chen, Y.-C. Liu, Z. Kira, Y.-C. F. Wang, J.-B. Huang, "A Closer Look at Few-shot Classification", International Conference on Learning Representation (ICLR), May 2019 (PDF)
Y.-C. Chen*, Y.-J. Li*, X. Du, Y.-C. F. Wang, "Learning Resolution-Invariant Deep Representations for Person Re-Identification", The 33rd AAAI Conference on Artificial Intelligence (AAAI), January 2019 (Oral Presentation) (* indicates equal contributions) (PDF)
2018
A.-H. Liu, Y.-C. Liu, Y.-Y. Yeh, Y.-C. F. Wang, "A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation", Neural Information Processing Systems (NIPS), December 2018 (PDF)
W.-H. Chu, Y.-C. F. Wang, "Learning Semantics-Guided Visual Attention for Few-shot Image Classification", IEEE International Conference on Image Processing (ICIP), October 2018 (PDF)
Y.-J. Li, H.-Y. Chang, Y.-J. Lin, P.-W. Wu, Y.-C. F. Wang, "Deep Reinforcement Learning for Playing 2.5D Game", IEEE International Conference on Image Processing (ICIP), October 2018 (PDF)
H.-I. Ho, W.-C. Chiu, Y.-C. F. Wang, "Summarizing First-Person Videos from Third Persons' Points of View", European Conference on Computer Vision (ECCV), September 2018 (PDF)
H.-M. Chiu, C.-K. Yeh, Y.-C. F. Wang, "Deep Generative Models for Weakly-Supervised Multi-Label Classification", European Conference on Computer Vision (ECCV), September 2018 (PDF)
J.-P. Klopp, Y.-C. F. Wang, S.-Y. Chien, L.-G. Chen, "Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies", British Machine Vision Conference (BMVC), September 2018 (PDF)
T.-S. Kuo, K.-S. Tseng, J.-W. Yan, Y.-C. Liu, Y.-C. F. Wang, "Deep Aggregation Net for Land Cover Classification", IEEE International Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), June 2018 (PDF)
Y.-J. Li, F.-E. Yang, Y.-C. Liu, Y.-Y. Yeh, X. Du, Y.-C. F. Wang, "Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification", IEEE International Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), June 2018 (PDF)
Y.-C. Liu, Y.-Y. Yeh, T.-C. Fu, S.-D. Wang, W.-C. Chiu, and Y.-C. F. Wang, "Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2018 (Spotlight). (PDF)
C.-W. Lee*, W. Fang*, C.-K. Yeh, Y.-C. F. Wang, "Multi-Label Zero-Shot Learning with Structured Knowledge Graphs", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2018 (Poster; * indicates equal contributions.). (PDF)
S.-F. Chen*, Y.-C. Chen*, C.-K. Yeh, Y.-C. F. Wang, "Order-Free RNN with Visual Attention for Multi-Label Classification," The 32nd AAAI Conference on Artificial Intelligence (AAAI-18), February 2018 (PDF) (* indicates equal contributions.).
W.-H. Chu, Y.-C. F. Wang, "Learning Semantics-Guided Visual Attention for Few-shot Image Classification", IEEE International Conference on Image Processing (ICIP), October 2018 (PDF)
Y.-J. Li, H.-Y. Chang, Y.-J. Lin, P.-W. Wu, Y.-C. F. Wang, "Deep Reinforcement Learning for Playing 2.5D Game", IEEE International Conference on Image Processing (ICIP), October 2018 (PDF)
H.-I. Ho, W.-C. Chiu, Y.-C. F. Wang, "Summarizing First-Person Videos from Third Persons' Points of View", European Conference on Computer Vision (ECCV), September 2018 (PDF)
H.-M. Chiu, C.-K. Yeh, Y.-C. F. Wang, "Deep Generative Models for Weakly-Supervised Multi-Label Classification", European Conference on Computer Vision (ECCV), September 2018 (PDF)
J.-P. Klopp, Y.-C. F. Wang, S.-Y. Chien, L.-G. Chen, "Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies", British Machine Vision Conference (BMVC), September 2018 (PDF)
T.-S. Kuo, K.-S. Tseng, J.-W. Yan, Y.-C. Liu, Y.-C. F. Wang, "Deep Aggregation Net for Land Cover Classification", IEEE International Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), June 2018 (PDF)
Y.-J. Li, F.-E. Yang, Y.-C. Liu, Y.-Y. Yeh, X. Du, Y.-C. F. Wang, "Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification", IEEE International Conference on Computer Vision and Pattern Recognition Workshop (CVPRW), June 2018 (PDF)
Y.-C. Liu, Y.-Y. Yeh, T.-C. Fu, S.-D. Wang, W.-C. Chiu, and Y.-C. F. Wang, "Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2018 (Spotlight). (PDF)
C.-W. Lee*, W. Fang*, C.-K. Yeh, Y.-C. F. Wang, "Multi-Label Zero-Shot Learning with Structured Knowledge Graphs", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2018 (Poster; * indicates equal contributions.). (PDF)
S.-F. Chen*, Y.-C. Chen*, C.-K. Yeh, Y.-C. F. Wang, "Order-Free RNN with Visual Attention for Multi-Label Classification," The 32nd AAAI Conference on Artificial Intelligence (AAAI-18), February 2018 (PDF) (* indicates equal contributions.).
2017
Y.-H. Chen, W.-Y. Chen, Y.-T. Chen, B.-C. Tsai, Y.-C. F. Wang and M. Sun, "No More Discrimination: Cross City Adaptation of Road Scene Segmenters," IEEE International Conference on Computer Vision (ICCV), October 2017. (PDF)
S.-Y. Tao, Y.-H. Tsai, Y.-R. Yeh, and Y.-C. F. Wang, "Semantics-Preserving Locality Embedding for Zero-Shot Learning," British Machine Vision Conference (BMVC), September 2017. (PDF)
Y.-A. Chen, W.-C. Chen, C.-P. Wei, and Y.-C. F. Wang, "Occlusion-Aware Face Inpainting via Generative Adversarial Networks," IEEE International Conference on Image Processing (ICIP), September 2017. (PDF)
H.-W. Lee, C.-P. Wei, and Y.-C. F. Wang, "Learning Grassmann Manifolds for Object State Discovery," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. (PDF)
T.-L. Wang, K.-Y. Lee, and Y.-C. F. Wang, "Partial Image Blur Detection and Segmentation From a Single Snapshot," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. (PDF)
W.-J. Ko, J.-Y.- Yu, W.-Y. Chen, and Y.-C. F. Wang, "Enhanced Canonical Correlation Analysis with Local Density for Cross-Domain Visual Classification," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. (PDF)
C.-K. Yeh*, W.-C. Wu*, W.-J. Ko, Y.-C. F. Wang, "Learning Deep Latent Spaces for Multi-Label Classification," The 31st AAAI Conference on Artificial Intelligence (AAAI-17), February 2017 (PDF) (oral presentation; * indicates equal contributions.).
S.-Y. Tao, Y.-H. Tsai, Y.-R. Yeh, and Y.-C. F. Wang, "Semantics-Preserving Locality Embedding for Zero-Shot Learning," British Machine Vision Conference (BMVC), September 2017. (PDF)
Y.-A. Chen, W.-C. Chen, C.-P. Wei, and Y.-C. F. Wang, "Occlusion-Aware Face Inpainting via Generative Adversarial Networks," IEEE International Conference on Image Processing (ICIP), September 2017. (PDF)
H.-W. Lee, C.-P. Wei, and Y.-C. F. Wang, "Learning Grassmann Manifolds for Object State Discovery," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. (PDF)
T.-L. Wang, K.-Y. Lee, and Y.-C. F. Wang, "Partial Image Blur Detection and Segmentation From a Single Snapshot," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. (PDF)
W.-J. Ko, J.-Y.- Yu, W.-Y. Chen, and Y.-C. F. Wang, "Enhanced Canonical Correlation Analysis with Local Density for Cross-Domain Visual Classification," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2017. (PDF)
C.-K. Yeh*, W.-C. Wu*, W.-J. Ko, Y.-C. F. Wang, "Learning Deep Latent Spaces for Multi-Label Classification," The 31st AAAI Conference on Artificial Intelligence (AAAI-17), February 2017 (PDF) (oral presentation; * indicates equal contributions.).
2016
W.-Y. Chen, T.-M. H. Hsu, Y.-H. H. Tsai, Y.-C. F. Wang, and M.-S. Chen, "Transfer Neural Trees for Heterogeneous Domain Adaptation," The 14th European Conference on Computer Vision (ECCV), October 2016 (acceptance rate: ~30%). (PDF, code)
C.-K. Yeh*, W.-C. Wu*, and Y.-C. F. Wang, "Learning Graph Fusion for Query and Database Specific Image Retrieval," IEEE International Workshop on Multimedia Signal Processing (MMSP), September 2016 (* indicates equal contributions).
H.-Y. D. Wen and Y.-C. F. Wang, "Robust Propagated Filtering with Applications to Image Texture Filtering and Beyond," IEEE International Workshop on Multimedia Signal Processing (MMSP), September 2016.
W.-J. Ko, Y.-C. F. Wang, and S.-Y. Chien, "Learning Patch-Based Anchors for Face Hallucination," IEEE International Workshop on Multimedia Signal Processing (MMSP), September 2016.
C.-P. Wei and Y.-C. F. Wang, "With One Look: 3D Face Shape Estimation from a Single Snapshot," IEEE International Conference on Multimedia and Expo (ICME), July 2016 (selected as Top 15% paper for oral presentation).
Y.-T. Hsieh*, S.-Y. Tao*, Y.-H. H. Tsai, and Y.-C. F. Wang, "Recognizing Heterogeneous Cross-Domain Data via Generalized Joint Distribution Adaptation," IEEE International Conference on Multimedia and Expo (ICME), July 2016 (selected as Top 15% paper for oral presentation; * indicates equal contributions).
Y.-H. Tsai, Y.-R. Yeh, and Y.-C. F. Wang, "Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2016. (PDF, code)
T.-E. Tseng, W.-Y. Chang, C.-S. Chen, and Y.-C. F. Wang, "Style Retrieval from Natural Images," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2016. (PDF)
Y.-H. Tsai, Y.-R. Yeh, and Y.-C. F. Wang, "Heterogeneous Domain Adaptation with Label and Structure Consistency," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2016. (PDF)
W.-Y. Chang and Y.-C. F. Wang, "Style-Centric Image Summarization from Photographic Views of a City," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2016. (PDF)
Y.-H. Tsai, C.-A. Hou, W.-Y. Chen, Y.-R. Yeh, and Y.-C. F. Wang, "Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation," The 30th AAAI Conference on Artificial Intelligence (AAAI-16), Feb. 2016. (acceptance rate: 26%). (PDF)
C.-K. Yeh*, W.-C. Wu*, and Y.-C. F. Wang, "Learning Graph Fusion for Query and Database Specific Image Retrieval," IEEE International Workshop on Multimedia Signal Processing (MMSP), September 2016 (* indicates equal contributions).
H.-Y. D. Wen and Y.-C. F. Wang, "Robust Propagated Filtering with Applications to Image Texture Filtering and Beyond," IEEE International Workshop on Multimedia Signal Processing (MMSP), September 2016.
W.-J. Ko, Y.-C. F. Wang, and S.-Y. Chien, "Learning Patch-Based Anchors for Face Hallucination," IEEE International Workshop on Multimedia Signal Processing (MMSP), September 2016.
C.-P. Wei and Y.-C. F. Wang, "With One Look: 3D Face Shape Estimation from a Single Snapshot," IEEE International Conference on Multimedia and Expo (ICME), July 2016 (selected as Top 15% paper for oral presentation).
Y.-T. Hsieh*, S.-Y. Tao*, Y.-H. H. Tsai, and Y.-C. F. Wang, "Recognizing Heterogeneous Cross-Domain Data via Generalized Joint Distribution Adaptation," IEEE International Conference on Multimedia and Expo (ICME), July 2016 (selected as Top 15% paper for oral presentation; * indicates equal contributions).
Y.-H. Tsai, Y.-R. Yeh, and Y.-C. F. Wang, "Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2016. (PDF, code)
T.-E. Tseng, W.-Y. Chang, C.-S. Chen, and Y.-C. F. Wang, "Style Retrieval from Natural Images," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2016. (PDF)
Y.-H. Tsai, Y.-R. Yeh, and Y.-C. F. Wang, "Heterogeneous Domain Adaptation with Label and Structure Consistency," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2016. (PDF)
W.-Y. Chang and Y.-C. F. Wang, "Style-Centric Image Summarization from Photographic Views of a City," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), March 2016. (PDF)
Y.-H. Tsai, C.-A. Hou, W.-Y. Chen, Y.-R. Yeh, and Y.-C. F. Wang, "Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation," The 30th AAAI Conference on Artificial Intelligence (AAAI-16), Feb. 2016. (acceptance rate: 26%). (PDF)
2015
T.-M. H. Hsu, C.-A. Hou, W.-Y. Chen, Y.-H. Tsai, Y.-R. Yeh, and Y.-C. F. Wang, "Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data," IEEE International Conference on Computer Vision (ICCV), Dec. 2015. (acceptance rate: 30%). (PDF)
H.-T. Chang, P.-C. Pan, Y.-C. F. Wang, and M.-S. Chen, "R2P: Recomposition and Retargeting of Photographic Images," ACM Multimedia, October 2015. (short paper, acceptance rate: 30%).
T.-Y. Lin, Y.-C. F. Wang, and S. Moss-Pultz, "ObjectMinutiae: Fingerprinting for Object Authentication," ACM Multimedia, October 2015. (Technical Demo Paper).
W.-Y. Chen, T.-M. H. Hsu, C.-A. Hou, Y.-R. Yeh, and Y.-C. F. Wang, "Connecting The Dots without Clues: Unsupervised Domain Adaptation for Cross-Domain Visual Classification," IEEE International Conference on Image Processing (ICIP), Sept. 2015.(PDF)
M.-C. Tsai and Y.-C. F. Wang, "Graph Regularized Low-Rank Matrix Recovery for Robust Person Re-Identification," IEEE International Conference on Image Processing (ICIP), Sept. 2015.(PDF)
C.-A. Hou, Y.-R. Yeh, and Y.-C. F. Wang, "An Unsupervised Domain Adaptation Approach For Cross-Domain Visual Classification," IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Aug. 2015 (nominated for the Best Paper Award).
J.-H. Chang and Y.-C. F. Wang, "Propagated Image Filtering," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015. (PDF, Supplement, Poster, code(Matlab Mex with OpenMP), code(Matlab only))
W.-Y. Chang and Y.-C. F. Wang, "Seeing Through The Appearance: Body Shape Estimation Using Multi-View Clothing Images," IEEE International Conference on Multimedia & Expo (ICME), June 2015. (PDF)
C.-P. Wei and Y.-C. F. Wang, "Undersampled Face Recognition with One-Pass Dictionary Learning," IEEE International Conference on Multimedia & Expo (ICME), June 2015. (PDF)
M.-C. Yang, C.-P. Wei, Y.-R. Yeh, and Y.-C. F. Wang, "Recognition at a Long Distance: Very Low Resolution Face Recognition and Hallucination," The 8th IAPR International Conference on Biometrics (ICB), May 2015. (PDF)
H.-T. Chang, P.-C. Pan, Y.-C. F. Wang, and M.-S. Chen, "R2P: Recomposition and Retargeting of Photographic Images," ACM Multimedia, October 2015. (short paper, acceptance rate: 30%).
T.-Y. Lin, Y.-C. F. Wang, and S. Moss-Pultz, "ObjectMinutiae: Fingerprinting for Object Authentication," ACM Multimedia, October 2015. (Technical Demo Paper).
W.-Y. Chen, T.-M. H. Hsu, C.-A. Hou, Y.-R. Yeh, and Y.-C. F. Wang, "Connecting The Dots without Clues: Unsupervised Domain Adaptation for Cross-Domain Visual Classification," IEEE International Conference on Image Processing (ICIP), Sept. 2015.(PDF)
M.-C. Tsai and Y.-C. F. Wang, "Graph Regularized Low-Rank Matrix Recovery for Robust Person Re-Identification," IEEE International Conference on Image Processing (ICIP), Sept. 2015.(PDF)
C.-A. Hou, Y.-R. Yeh, and Y.-C. F. Wang, "An Unsupervised Domain Adaptation Approach For Cross-Domain Visual Classification," IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Aug. 2015 (nominated for the Best Paper Award).
J.-H. Chang and Y.-C. F. Wang, "Propagated Image Filtering," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2015. (PDF, Supplement, Poster, code(Matlab Mex with OpenMP), code(Matlab only))
W.-Y. Chang and Y.-C. F. Wang, "Seeing Through The Appearance: Body Shape Estimation Using Multi-View Clothing Images," IEEE International Conference on Multimedia & Expo (ICME), June 2015. (PDF)
C.-P. Wei and Y.-C. F. Wang, "Undersampled Face Recognition with One-Pass Dictionary Learning," IEEE International Conference on Multimedia & Expo (ICME), June 2015. (PDF)
M.-C. Yang, C.-P. Wei, Y.-R. Yeh, and Y.-C. F. Wang, "Recognition at a Long Distance: Very Low Resolution Face Recognition and Hallucination," The 8th IAPR International Conference on Biometrics (ICB), May 2015. (PDF)
2014
H.-S. Chang and Y.-C. F. Wang, "Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation," Asian Conference on Computer Vision (ACCV), Nov. 2014 (acceptance rate: 27%). (PDF, Supplement, Poster, Code)
H.-T. Chang, Y.-C. F. Wang, and M.-S. Chen, "Transfer in Photography Composition," ACM Multimedia, Nov. 2014. (short paper, acceptance rate: 30%)(PDF)
S.-H. Sun*, S.-P. Fan*, and Y.-C. F. Wang, "Exploiting Image Structural Similarity for Single Image Rain Removal," IEEE International Conference on Image Processing (ICIP), Oct. 2014 (PDF) (* indicates equal contributions).
Y.-H. Tsai*, H.-M. Hsu*, C.-A. Hou, and Y.-C. F. Wang, "Person-Specific Domain Adaptation with Applications to Heterogeneous Face Recognition," IEEE International Conference on Image Processing (ICIP), Oct. 2014 (PDF) (* indicates equal contributions).
M.-H. Fu, Y.-C. F. Wang, and C.-S. Chen, "Exploiting Low-Rank Structures from Cross-Camera Images for Robust Person Re-Identification," IEEE International Conference on Image Processing (ICIP), Oct. 2014. (PDF)
C.-A. Hou, M.-C. Yang, and Y.-C. F. Wang, "Domain Adaptive Self-Taught Learning for Heterogeneous Face Recognition," IEEE/IAPR International Conference on Pattern Recognition (ICPR), Aug. 2014. (PDF)
W.-Y. Chang, C.-P. Wei, and Y.-C. F. Wang, "Multi-View Nonnegative Matrix Factorization for Clothing Image Characterization," IEEE/IAPR International Conference on Pattern Recognition (ICPR), Aug. 2014. (PDF)
K.-W. Liang, Y.-C. Wu, Y.-A. Huang, J.-H. Chen, and Y.-C. F. Wang, "MR Image Enhancement via Adaptive Guided Filtering," IEEE Engineering in Medicine and Biology Society (EMBC), Aug. 2014. (Undergraduate Research/Design Poster presentation)
C.-Y. Tsai, T.-C. Lin, C.-P. Wei, and Y.-C. F. Wang, "Extended-Bag-of-Features for Translation, Rotation, and Scale-Invariant Image Retrieval," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014. (PDF,Code)
H.-T. Chang, Y.-C. F. Wang, and M.-S. Chen, "Transfer in Photography Composition," ACM Multimedia, Nov. 2014. (short paper, acceptance rate: 30%)(PDF)
S.-H. Sun*, S.-P. Fan*, and Y.-C. F. Wang, "Exploiting Image Structural Similarity for Single Image Rain Removal," IEEE International Conference on Image Processing (ICIP), Oct. 2014 (PDF) (* indicates equal contributions).
Y.-H. Tsai*, H.-M. Hsu*, C.-A. Hou, and Y.-C. F. Wang, "Person-Specific Domain Adaptation with Applications to Heterogeneous Face Recognition," IEEE International Conference on Image Processing (ICIP), Oct. 2014 (PDF) (* indicates equal contributions).
M.-H. Fu, Y.-C. F. Wang, and C.-S. Chen, "Exploiting Low-Rank Structures from Cross-Camera Images for Robust Person Re-Identification," IEEE International Conference on Image Processing (ICIP), Oct. 2014. (PDF)
C.-A. Hou, M.-C. Yang, and Y.-C. F. Wang, "Domain Adaptive Self-Taught Learning for Heterogeneous Face Recognition," IEEE/IAPR International Conference on Pattern Recognition (ICPR), Aug. 2014. (PDF)
W.-Y. Chang, C.-P. Wei, and Y.-C. F. Wang, "Multi-View Nonnegative Matrix Factorization for Clothing Image Characterization," IEEE/IAPR International Conference on Pattern Recognition (ICPR), Aug. 2014. (PDF)
K.-W. Liang, Y.-C. Wu, Y.-A. Huang, J.-H. Chen, and Y.-C. F. Wang, "MR Image Enhancement via Adaptive Guided Filtering," IEEE Engineering in Medicine and Biology Society (EMBC), Aug. 2014. (Undergraduate Research/Design Poster presentation)
C.-Y. Tsai, T.-C. Lin, C.-P. Wei, and Y.-C. F. Wang, "Extended-Bag-of-Features for Translation, Rotation, and Scale-Invariant Image Retrieval," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2014. (PDF,Code)
2013
D.-A. Huang and Y.-C. F. Wang, "Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition," IEEE International Conference on Computer Vision (ICCV), Dec. 2013 (acceptance rate: 30%). (PDF, code)
C.-P. Wei, Y.-M.-Huang, Y.-C. F. Wang, and M.-Y. Shih, "Background Recovery in Railroad Crossing Videos via Incremental Low-Rank Matrix Decomposition," The 2nd IAPR Asian Conference on Pattern Recognition (ACPR 2013), Nov. 2013.
K.-H. Lo, Y.-C. F. Wang, and K.-L. Hua, "Joint Trilateral Filtering for Depth Map Super-Resolution," IEEE Visual Communications and Image Processing (VCIP), Nov. 2013.
D.-A. Huang and Y.-C. F. Wang, "With One Look: Robust Face Recognition Using Single Sample Per Person," ACM Multimedia, short paper, Oct. 2013 (acceptance rate: 30%). (PDF)
W.-S. Tseng, L.-K. Hsu, L.-W. Kang, and Y.-C. F. Wang, "Cross-View Action Recognition via Low-Rank based Domain Adaptation," IEEE International Conference on Image Processing (ICIP), Sept. 2013. (PDF, Poster)
Y.-C. Chou, C.-P. Wei, and Y.-C. F. Wang, "A Discriminative Domain Adaptation Model for Cross-Domain Image Classification," IEEE International Conference on Image Processing (ICIP), Sept. 2013. (PDF, code, Poster)
H.-S. Chang and Y.-C. F. Wang, "Superpixel-based Large Displacement Optical Flow," IEEE International Conference on Image Processing (ICIP), Sept. 2013. (PDF, code, Poster)
C.-P. Wei and Y.-C. F. Wang, "Learning Auxiliary Dictionaries for Undersampled Face Recognition," IEEE International Conference on Multimedia & Expo (ICME), July 2013 (selected as Top 12.7% paper for oral presentation). (PDF)
L.-K. Hsu, W.-S. Tseng, L.-W. Kang and Y.-C. F. Wang, "Seeing Through the Expression: Bridging the Gap Between Expression and Emotion Recognition," IEEE International Conference on Multimedia & Expo (ICME), Theme Track for Multimedia for Humanity, July 2013 (oral presentation; nominated for Best Paper Award). (PDF)
C.-M. Huang, C.-P. Wei, and Y.-C. F. Wang, "Active Learning Based Clothing Image Recommendation with Implicit User Preferences," IEEE International Conference on Multimedia & Expo (ICME), Short Paper Program, July 2013. (PDF)
K.-H. Lo, K.-L. Hua, and Y.-C. F. Wang, "Depth Map Super-Resolution via Markov Random Fields Without Texture-Copying Artifacts," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013 (oral presentation). (PDF)
M.-H. Tsai, Y.-R. Yeh, Y.-J. Lee, and Y.-C. F. Wang, "Solving Nonlinear SVM in Linear Time? A Nystrom Approximated SVM with Applications to Image Classification," The 13th IAPR Conference on Machine Vision Applications (MVA), May 2013 (oral presentation; nominated for MVA 2013 paper awards). (PDF)
C.-P. Wei, Y.-M.-Huang, Y.-C. F. Wang, and M.-Y. Shih, "Background Recovery in Railroad Crossing Videos via Incremental Low-Rank Matrix Decomposition," The 2nd IAPR Asian Conference on Pattern Recognition (ACPR 2013), Nov. 2013.
K.-H. Lo, Y.-C. F. Wang, and K.-L. Hua, "Joint Trilateral Filtering for Depth Map Super-Resolution," IEEE Visual Communications and Image Processing (VCIP), Nov. 2013.
D.-A. Huang and Y.-C. F. Wang, "With One Look: Robust Face Recognition Using Single Sample Per Person," ACM Multimedia, short paper, Oct. 2013 (acceptance rate: 30%). (PDF)
W.-S. Tseng, L.-K. Hsu, L.-W. Kang, and Y.-C. F. Wang, "Cross-View Action Recognition via Low-Rank based Domain Adaptation," IEEE International Conference on Image Processing (ICIP), Sept. 2013. (PDF, Poster)
Y.-C. Chou, C.-P. Wei, and Y.-C. F. Wang, "A Discriminative Domain Adaptation Model for Cross-Domain Image Classification," IEEE International Conference on Image Processing (ICIP), Sept. 2013. (PDF, code, Poster)
H.-S. Chang and Y.-C. F. Wang, "Superpixel-based Large Displacement Optical Flow," IEEE International Conference on Image Processing (ICIP), Sept. 2013. (PDF, code, Poster)
C.-P. Wei and Y.-C. F. Wang, "Learning Auxiliary Dictionaries for Undersampled Face Recognition," IEEE International Conference on Multimedia & Expo (ICME), July 2013 (selected as Top 12.7% paper for oral presentation). (PDF)
L.-K. Hsu, W.-S. Tseng, L.-W. Kang and Y.-C. F. Wang, "Seeing Through the Expression: Bridging the Gap Between Expression and Emotion Recognition," IEEE International Conference on Multimedia & Expo (ICME), Theme Track for Multimedia for Humanity, July 2013 (oral presentation; nominated for Best Paper Award). (PDF)
C.-M. Huang, C.-P. Wei, and Y.-C. F. Wang, "Active Learning Based Clothing Image Recommendation with Implicit User Preferences," IEEE International Conference on Multimedia & Expo (ICME), Short Paper Program, July 2013. (PDF)
K.-H. Lo, K.-L. Hua, and Y.-C. F. Wang, "Depth Map Super-Resolution via Markov Random Fields Without Texture-Copying Artifacts," IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2013 (oral presentation). (PDF)
M.-H. Tsai, Y.-R. Yeh, Y.-J. Lee, and Y.-C. F. Wang, "Solving Nonlinear SVM in Linear Time? A Nystrom Approximated SVM with Applications to Image Classification," The 13th IAPR Conference on Machine Vision Applications (MVA), May 2013 (oral presentation; nominated for MVA 2013 paper awards). (PDF)
2012
C.-F. Chen, C.-P. Wei, and Y.-C. F. Wang, "Low-Rank Matrix Recovery with Structural Incoherence for Robust Face Recognition," IEEE International Conference on Computer Vision & Pattern Recognition (CVPR), 2012 (acceptance rate: 24%). (PDF, Poster, code)
M.-C. Yang*, D.-A. Huang*, C.-Y. Tsai, and Y.-C. F. Wang, "Self-Learning of Edge-Preserving Single Image Super-Resolution via Contourlet Transform," IEEE International Conference on Multimedia & Expo (ICME), 2012. (PDF) (* indicates equal contribution; acceptance rate: 30%).
D.-A. Huang, L.-W. Kang, C.-Y. Tsai, M.-C. Yang, C.-W. Lin, and Y.-C. F. Wang, "Context-Aware Single Image Rain Removal," IEEE International Conference on Multimedia & Expo (ICME), 2012 (selected as Top 13% paper for oral presentation). (PDF, code)
C.-H. Huang, Y.-R. Yeh, and Y.-C. F. Wang, "Recognizing Actions Across Cameras by Exploring the Correlated Subspace," The 4th International Workshop on Video Event Categorization, Tagging and Retrieval, in conjunction with ECCV 2012, 2012. (PDF)
W.-T. Li, H.-T. Chang, H. S. Lyu, and Y.-C. F. Wang, "Automatic Saliency Inspired Foreground Object Extraction from Videos," IEEE International Conference on Image Processing (ICIP), 2012. (PDF)
F.-L. He, Y.-C. F. Wang, and K.-L. Hua, "A Self-Learning Approach to Color Demosaicking via Support Vector Regression," IEEE International Conference on Image Processing (ICIP), 2012. (PDF)
C.-Y. Tsai, D.-A. Huang, M.-C. Yang, L.-W. Kang, and Y.-C. F. Wang, "Context-Aware Single Image Super-Resolution Using Locality-Constrained Group Sparse Representation," Visual Communications and Image Processing (VCIP), 2012 (invited paper for oral presentation).
C.-M. Huang, S. Chen, M. Cheng and Y.-C. F. Wang, "A Sparse-Coding Based Approach to Clothing Image Retrieval," IEEE International Symposium on Intelligent Signal Processing and Communication Systems, 2012 (invited paper for oral presentation).
M.-C. Yang*, D.-A. Huang*, C.-Y. Tsai, and Y.-C. F. Wang, "Self-Learning of Edge-Preserving Single Image Super-Resolution via Contourlet Transform," IEEE International Conference on Multimedia & Expo (ICME), 2012. (PDF) (* indicates equal contribution; acceptance rate: 30%).
D.-A. Huang, L.-W. Kang, C.-Y. Tsai, M.-C. Yang, C.-W. Lin, and Y.-C. F. Wang, "Context-Aware Single Image Rain Removal," IEEE International Conference on Multimedia & Expo (ICME), 2012 (selected as Top 13% paper for oral presentation). (PDF, code)
C.-H. Huang, Y.-R. Yeh, and Y.-C. F. Wang, "Recognizing Actions Across Cameras by Exploring the Correlated Subspace," The 4th International Workshop on Video Event Categorization, Tagging and Retrieval, in conjunction with ECCV 2012, 2012. (PDF)
W.-T. Li, H.-T. Chang, H. S. Lyu, and Y.-C. F. Wang, "Automatic Saliency Inspired Foreground Object Extraction from Videos," IEEE International Conference on Image Processing (ICIP), 2012. (PDF)
F.-L. He, Y.-C. F. Wang, and K.-L. Hua, "A Self-Learning Approach to Color Demosaicking via Support Vector Regression," IEEE International Conference on Image Processing (ICIP), 2012. (PDF)
C.-Y. Tsai, D.-A. Huang, M.-C. Yang, L.-W. Kang, and Y.-C. F. Wang, "Context-Aware Single Image Super-Resolution Using Locality-Constrained Group Sparse Representation," Visual Communications and Image Processing (VCIP), 2012 (invited paper for oral presentation).
C.-M. Huang, S. Chen, M. Cheng and Y.-C. F. Wang, "A Sparse-Coding Based Approach to Clothing Image Retrieval," IEEE International Symposium on Intelligent Signal Processing and Communication Systems, 2012 (invited paper for oral presentation).
2011
C.-F. Chen and Y.-C. F. Wang, "Exploring Self-Similarity of Bag-of-Features for Image Classification," ACM Multimedia, 2011.(PDF)
M.-C. Yang, T.-Y. Hu*, C.-H. Wang*, and Y.-C. F. Wang, "Learning of Context-Aware Single Image Super-Resolution," IEEE Visual Communication and Image Processing, 2011 (invited paper; * indicates equal contribution).
T.-Y. Lin, Y.-Y. Lin, M.-F. Wang, Y.-C. F. Wang, Y.-F. Hsu, and H.-Y. M. Liao, "Cross Camera People Counting with Perspective Estimation and Occlusion Handling," IEEE International Workshop on Information Forensics and Security (WIFS), 2011 (acceptance rate: 32%).
Y.-W. Chao, Y.-R. Yeh, Y.-W. Chen, Y.-J. Lee, and Y.-C. F. Wang, "Locality-constrained Group Sparse Representation for Robust Face Recognition," IEEE International Conference on Image Processing (ICIP), 2011.(PDF, code)
M.-C. Yang, C.-H. Wang*, T.-Y. Hu*, and Y.-C. F. Wang, "Learning Context-Aware Sparse Representation for Single Image Super-Resolution," IEEE International Conference on Image Processing (ICIP), 2011. (* indicates equal contribution)(PDF)
C.-H. Chen, W.-H. Chung, and Y.-C. F. Wang, "Joint Source-Channel Coding Optimization with Packet Loss Resilience for Video Transmission," IEEE International Conference on Image Processing (ICIP), 2011.
C.-H. Chen, W.-H. Chung, and Y.-C. F. Wang, "Cross-Layer Design for Video Streaming with Dynamic Antenna Selection," IEEE International Conference on Image Processing (ICIP), 2011.
Y.-R. Yeh, Y.-Y. Chung, T.-C. Lin, and Y.-C. F. Wang, "Group Lasso Regularized Multiple Kernel Learning for Heterogeneous Feature Selection," IEEE International Joint Conference on Neural Networks (IJCNN), 2011.(PDF)
S.-W. Sun, Y.-C. F. Wang, Y.-L. Hung, C.-L. Chang, S.-S. Chen, H.-M. Wang, and H.-Y. M. Liao, "Automatic Annotation of Web Videos," IEEE International Conference on Multimedia & Expo, 2011 (Accept as Top 15% paper; overall acceptance rate 30%).(PDF)
K.-C. Lien and Y.-C. F. Wang, "Automatic Object Extraction in Single-Concept Videos," IEEE International Conference on Multimedia & Expo, 2011 (Accept as Top 15% paper; overall acceptance rate 30%).(PDF)
Y.-R. Yeh and Y.-C. F. Wang, "Least-Squares LDA via Rank-One Updates with Concept Drift," IEEE International Workshop on Statistical Signal Processing (SSP), 2011.(PDF)
M.-C. Yang, T.-Y. Hu*, C.-H. Wang*, and Y.-C. F. Wang, "Learning of Context-Aware Single Image Super-Resolution," IEEE Visual Communication and Image Processing, 2011 (invited paper; * indicates equal contribution).
T.-Y. Lin, Y.-Y. Lin, M.-F. Wang, Y.-C. F. Wang, Y.-F. Hsu, and H.-Y. M. Liao, "Cross Camera People Counting with Perspective Estimation and Occlusion Handling," IEEE International Workshop on Information Forensics and Security (WIFS), 2011 (acceptance rate: 32%).
Y.-W. Chao, Y.-R. Yeh, Y.-W. Chen, Y.-J. Lee, and Y.-C. F. Wang, "Locality-constrained Group Sparse Representation for Robust Face Recognition," IEEE International Conference on Image Processing (ICIP), 2011.(PDF, code)
M.-C. Yang, C.-H. Wang*, T.-Y. Hu*, and Y.-C. F. Wang, "Learning Context-Aware Sparse Representation for Single Image Super-Resolution," IEEE International Conference on Image Processing (ICIP), 2011. (* indicates equal contribution)(PDF)
C.-H. Chen, W.-H. Chung, and Y.-C. F. Wang, "Joint Source-Channel Coding Optimization with Packet Loss Resilience for Video Transmission," IEEE International Conference on Image Processing (ICIP), 2011.
C.-H. Chen, W.-H. Chung, and Y.-C. F. Wang, "Cross-Layer Design for Video Streaming with Dynamic Antenna Selection," IEEE International Conference on Image Processing (ICIP), 2011.
Y.-R. Yeh, Y.-Y. Chung, T.-C. Lin, and Y.-C. F. Wang, "Group Lasso Regularized Multiple Kernel Learning for Heterogeneous Feature Selection," IEEE International Joint Conference on Neural Networks (IJCNN), 2011.(PDF)
S.-W. Sun, Y.-C. F. Wang, Y.-L. Hung, C.-L. Chang, S.-S. Chen, H.-M. Wang, and H.-Y. M. Liao, "Automatic Annotation of Web Videos," IEEE International Conference on Multimedia & Expo, 2011 (Accept as Top 15% paper; overall acceptance rate 30%).(PDF)
K.-C. Lien and Y.-C. F. Wang, "Automatic Object Extraction in Single-Concept Videos," IEEE International Conference on Multimedia & Expo, 2011 (Accept as Top 15% paper; overall acceptance rate 30%).(PDF)
Y.-R. Yeh and Y.-C. F. Wang, "Least-Squares LDA via Rank-One Updates with Concept Drift," IEEE International Workshop on Statistical Signal Processing (SSP), 2011.(PDF)
2010
S.-C. Wang and Y.-C. F. Wang, "A Multi-Scale Learning Framework for Visual Categorization," Asian Conference on Computer Vision (ACCV), Nov. 2010 (Oral paper. Acceptance rate: 29.5% overall, 4.7% oral).(PDF)
M.-C. Yang, C.-T. Chu, and Y.-C. F. Wang, "Learning Sparse Image Representation with Support Vector Regression for Single-Image Super-Resolution," IEEE Int'l Conference on Image Processing, Sep. 2010. (PDF)(code)
W.-C. Lu, Y.-C. F. Wang, and C.-S. Chen, "Video Object Extraction by Dense Optical-Flow Trajectories," IEEE Int'l Conference on Advanced Video and Signal Based Surveillance, Aug. 2010.
S.-C. Wang and Y.-C. F. Wang, "Simultaneous Object Recognition and Localization in Image Collections," IEEE Int'l Conference on Advanced Video and Signal Based Surveillance, Aug. 2010.(PDF)
S.-C. Wang and Y.-C. F. Wang, "Segmentation-free object localization in image collections," IEEE Workshop on Visual Content Identification and Search, in conjunction with ICME, Jul. 2010.
M.-C. Yang, C.-T. Chu, and Y.-C. F. Wang, "Learning Sparse Image Representation with Support Vector Regression for Single-Image Super-Resolution," IEEE Int'l Conference on Image Processing, Sep. 2010. (PDF)(code)
W.-C. Lu, Y.-C. F. Wang, and C.-S. Chen, "Video Object Extraction by Dense Optical-Flow Trajectories," IEEE Int'l Conference on Advanced Video and Signal Based Surveillance, Aug. 2010.
S.-C. Wang and Y.-C. F. Wang, "Simultaneous Object Recognition and Localization in Image Collections," IEEE Int'l Conference on Advanced Video and Signal Based Surveillance, Aug. 2010.(PDF)
S.-C. Wang and Y.-C. F. Wang, "Segmentation-free object localization in image collections," IEEE Workshop on Visual Content Identification and Search, in conjunction with ICME, Jul. 2010.
Before 2010
Y.-C. F. Wang and D. Casasent, "A support vector hierarchical method for multi-class classification and rejection," IEEE Int'l Joint Conf. on Neural Networks, Jun. 2009. (PDF)
Y.-C. F. Wang and D. Casasent, "Soft-decision hierarchical classification using SVM-type classifiers," IEEE Int'l Joint Conf. on Neural Networks, Jun. 2008.
Y.-C. F. Wang and D. Casasent, "New design method for a hierarchical SVM-based classifier," Proc. SPIE,Vol. 6764, Sep. 2007.
Y.-C. F. Wang and D. Casasent, "New weighted support vector k-means clustering for hierarchical multi-class classification," IEEE Int'l Joint Conf. on Neural Networks, Aug. 2007.
Y.-C. F. Wang and D. Casasent, "A new SVM for scale, aspect, and depression angle tolerant IR object recognition," Proc. SPIE, Vol. 6574, Apr. 2007.
Y.-C. F. Wang and D. Casasent, "Hierarchical k-means clustering using new support vector machine for multi-class classification," IEEE Int'l Joint Conf. on Neural Networks, Jul. 2006.
Y.-C. Wang and D. Casasent, " New hierarchical SVM classifier for multi-class target recognition," Proc. SPIE, Vol. 6006, Oct. 2005, pp. 359-370.
Y.-C. Wang and D. Casasent, "A hierarchical classifier using new support vector machines," IEEE Int'l Conf. on Document Analysis and Recognition, Aug. 2005, pp. 851-855.
D. Casasent and Y.-C. Wang, "Automatic target recognition using new support vector machine," IEEE Int'l Joint Conf. on Neural Networks, Aug. 2005.
Y.-C. Wang and D. Casasent, "Multimodal biometric fusion using data quality information," Proc. SPIE, Vol. 5816, March 2005, pp. 329-338.
D. Casasent and Y.-C. Wang, "New distortion-invariant SVRDM hierarchial classifier," Proc. SPIE, Vol. 5608, Oct. 2004, pp. 329-337.
Y.-C. F. Wang and D. Casasent, "Soft-decision hierarchical classification using SVM-type classifiers," IEEE Int'l Joint Conf. on Neural Networks, Jun. 2008.
Y.-C. F. Wang and D. Casasent, "New design method for a hierarchical SVM-based classifier," Proc. SPIE,Vol. 6764, Sep. 2007.
Y.-C. F. Wang and D. Casasent, "New weighted support vector k-means clustering for hierarchical multi-class classification," IEEE Int'l Joint Conf. on Neural Networks, Aug. 2007.
Y.-C. F. Wang and D. Casasent, "A new SVM for scale, aspect, and depression angle tolerant IR object recognition," Proc. SPIE, Vol. 6574, Apr. 2007.
Y.-C. F. Wang and D. Casasent, "Hierarchical k-means clustering using new support vector machine for multi-class classification," IEEE Int'l Joint Conf. on Neural Networks, Jul. 2006.
Y.-C. Wang and D. Casasent, " New hierarchical SVM classifier for multi-class target recognition," Proc. SPIE, Vol. 6006, Oct. 2005, pp. 359-370.
Y.-C. Wang and D. Casasent, "A hierarchical classifier using new support vector machines," IEEE Int'l Conf. on Document Analysis and Recognition, Aug. 2005, pp. 851-855.
D. Casasent and Y.-C. Wang, "Automatic target recognition using new support vector machine," IEEE Int'l Joint Conf. on Neural Networks, Aug. 2005.
Y.-C. Wang and D. Casasent, "Multimodal biometric fusion using data quality information," Proc. SPIE, Vol. 5816, March 2005, pp. 329-338.
D. Casasent and Y.-C. Wang, "New distortion-invariant SVRDM hierarchial classifier," Proc. SPIE, Vol. 5608, Oct. 2004, pp. 329-337.
Journal Papers
S.-Y. Huang, C.-P. Huang, K.-P. Chang, Z.-T. Chou, I-J. Liu, and Y.-C. F. Wang, "Learning Shape-Color Diffusion Priors for Text-Guided 3D Object Generation", IEEE Transactions on Multimedia (TMM), Jan. 2025.
C.-S. Lin and Y.-C. F. Wang, "Describe, Spot and Explain: Interpretable Representation Learning for Discriminative Visual Reasoning", IEEE Transactions on Image Processing (TIP), Apr. 2023.
F.-E. Yang, Y.-H. Lee, C.-C. Lin, and Y.-C. F. Wang, "Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning", International Journal of Computer Vision (IJCV), Feb. 2023.
Z.-H. Lin, S.-Y. Huang, and Y.-C. F. Wang, "Learning of 3D Graph Convolution Networks for Point Cloud Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Aug. 2022 (PDF).
F.-E. Yang, J.-C. Chang, C.-C. Tsai and Y.-C. F. Wang, "Learning Disentangled Representations for Cross-Domain Image Analysis," IEEE COMSOC MMTC Communications – Review, Vol. 11, No. 4, August 2020.
Y.-Y. Yeh, Y.-C. Liu, W.-C. Chiu, and Y.-C. F. Wang, "Static2Dynamic: Video Inference From a Deep Glimpse," IEEE Transactions on Emerging Topics in Computational Intelligence, May. 2020 (PDF).
F.-E. Yang*, J.-C. Chang*, C.-C. Tsai, and Y.-C. F. Wang, "A Multi-domain and Multi-modal Representation Disentangler for Cross-Domain Image Manipulation and Classification," IEEE Transactions on Image Processing, Jan. 2020 (PDF).
W.-Y. Chen, T.-M. H. Hsu, Y.-H. H. Tsai, M.-S. Chen, and Y.-C. F. Wang, “Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond," IEEE Transactions on Image Processing ", Mar. 2019 (PDF).
K.-H. Lo, Y.-C. F. Wang, and K.-L. Hua, "Edge-preserving Depth Map Upsampling by Joint Trilateral Filter," IEEE Transactions on Cybernetics, Volume: 48, Issue: 1, Jan. 2018.
C.-A. Hou, Y.-H. H. Tsai, Y.-R. Yeh, and Y.-C. F. Wang, "Unsupervised Domain Adaptation with Label and Structural Consistency," IEEE Transactions on Image Processing, volume 25, number 12, pages 5552-5562, December 2016.
K.-H. Lo, Y.-C. F. Wang, and K.-L. Hua, "Example-based Image Textural Style Transfer," IEEE MultiMedia, volume 23, number 4, pages 60-66, October 2016.
K.-L. Hua, S. C. Hidayati, F.-L. He, C.-P. Wei and Y.-C. F. Wang, "Context-Aware Joint Dictionary Learning for Color Image Demosaicking," to appear in Journal of Visual Communication and Image Representation.
K.-S. Huang, P.-J. Chiu, H.-M. Tsai, C.-C. Kuo, H.-Y. Lee, and Y.-C. F. Wang, "RedEye: Preventing Collisions Caused by Red-Light Running Scooters with Smartphones," to appear in IEEE Transactions on Intelligent Transportation Systems (ITS).
K.-L. Hua, K.-H. Lo, and Y.-C. F. Wang, "Extended Guided Filtering for Depth Map Upsampling," IEEE MultiMedia, volume 23, number 2, pages 72-83, April 2016.
H.-S. Chang and Y.-C. F. Wang, "Optimizing the Decomposition for Multiple Foreground Cosegmentation," Computer Vision and Image Understanding, volume 141, pages 18-27, December 2015. (PDF, code)
C.-P. Wei and Y.-C. F. Wang, "Undersampled Face Recognition via Robust Auxiliary Dictionary Learning," IEEE Transactions on Image Processing, volume 24, number 6, pages 1722-1734, June 2015. (PDF, code)
T.-C. Lin, M.-C. Yang, C.-Y. Tsai, and Y.-C. F. Wang, "Query-Adaptive Multiple Instance Learning for Video Instance Retrieval," IEEE Transactions on Image Processing, volume 24, number 4, pages 1330-1340, April 2015. (PDF)
C.-P. Wei, C.-F. Chen, and Y.-C. F. Wang, "Robust Face Recognition with Structurally Incoherent Low-Rank Matrix Decomposition," IEEE Transactions on Image Processing, volume 23, number 8, pages 3294-3307, Aug. 2014. (PDF, code) (A shorter version appeared in CVPR '12)
Y.-R. Yeh, C.-H. Huang, and Y.-C. F. Wang, "Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation Subspace," IEEE Transactions on Image Processing, volume 23, number 5, pages 2009-2018, May 2014. (PDF, code) (A shorter version appeared in ECCV WS '12)
D.-A. Huang, L.-W. Kang, Y.-C. F. Wang, and C.-W. Lin, "Self-Learning Based Image Decomposition with Applications to Single Image Denoising," IEEE Transactions on Multimedia, volume 16, number 1, pages 83-93, January 2014. (PDF, code)
M.-C. Yang, W. K. Moon, Y.-C. F. Wang, M. S. Bae, C.-S. Huang, J.-H. Chen, and R.-F. Chang, "Robust Texture Analysis Using Multi-resolution Gray-scale Invariant Features for Breast Sonographic Tumor Diagnosis," IEEE Transactions on Medical Imaging, volume 32, number 12, pages 2262-2273, December 2013. (PDF)
W.-T. Li, H.-S. Chang, K.-C. Lien, H.-T. Chang, and Y.-C. F. Wang, "Exploring Visual and Motion Saliency for Automatic Video Object Extraction," IEEE Transactions on Image Processing, volume 22, no. 7, page 2600-2610, July 2013. (PDF, code)
Y.-J. Lee, Y.-R. Yeh, and Y.-C. F. Wang, "Anomaly Detection via Online Over-Sampling Principal Component Analysis," IEEE Transactions on Knowledge and Data Engineering, volume 25, no. 7, page 1460-1470, July 2013. (PDF, code)
C.-P. Wei, Y.-W. Chao, Y.-R. Yeh, and Y.-C. F. Wang, "Locality-Sensitive Dictionary Learning for Sparse Representation Based Classification," Pattern Recognition, volume 46, number 5, pages 1277-1287, May 2013. (PDF, code)
Y.-R. Yeh and Y.-C. F. Wang, "A Rank-One Update Method for Least Squares Linear Discriminant Analysis with Concept Drift," Pattern Recognition, volume 46, number 5, pages 1267-1276, May 2013. (PDF)
M.-C. Yang and Y.-C. F. Wang, "A Self-Learning Approach to Single Image Super-Resolution," IEEE Transactions on Multimedia, volume 15, number 3, April 2013. (PDF, code)
S.-W. Sun, Y.-C. F. Wang, F. Huang, and H.-Y. M. Liao, "Moving Foreground Object Detection via Robust SIFT Trajectories," Journal of Visual Communication and Image Representation, volume 24, number 3, April 2013. (PDF)
Y.-R. Yeh, T.-C. Lin, Y.-Y. Chung, and Y.-C. F. Wang, "A Novel Multiple Kernel Learning Framework for Heterogeneous Feature Fusion and Variable Selection," IEEE Transactions on Multimedia, volume 14, number 3, pages 563-574, June 2012. (PDF)
Y.-C. F. Wang and D. Casasent, "New support vector-based design method for binary hierarchical classifiers for multi-class classification problems," Neural Networks, (21) 2-3, Mar. - Apr. 2008, pp. 502-510. (PDF)
D. Casasent and Y.-C. Wang, "A hierarchical classifier using new support vector machine for automatic target recognition," Neural Networks, (18) 5-6, Jul. - Aug. 2005, pp. 541-548. (PDF)
C.-S. Lin and Y.-C. F. Wang, "Describe, Spot and Explain: Interpretable Representation Learning for Discriminative Visual Reasoning", IEEE Transactions on Image Processing (TIP), Apr. 2023.
F.-E. Yang, Y.-H. Lee, C.-C. Lin, and Y.-C. F. Wang, "Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning", International Journal of Computer Vision (IJCV), Feb. 2023.
Z.-H. Lin, S.-Y. Huang, and Y.-C. F. Wang, "Learning of 3D Graph Convolution Networks for Point Cloud Analysis," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Aug. 2022 (PDF).
F.-E. Yang, J.-C. Chang, C.-C. Tsai and Y.-C. F. Wang, "Learning Disentangled Representations for Cross-Domain Image Analysis," IEEE COMSOC MMTC Communications – Review, Vol. 11, No. 4, August 2020.
Y.-Y. Yeh, Y.-C. Liu, W.-C. Chiu, and Y.-C. F. Wang, "Static2Dynamic: Video Inference From a Deep Glimpse," IEEE Transactions on Emerging Topics in Computational Intelligence, May. 2020 (PDF).
F.-E. Yang*, J.-C. Chang*, C.-C. Tsai, and Y.-C. F. Wang, "A Multi-domain and Multi-modal Representation Disentangler for Cross-Domain Image Manipulation and Classification," IEEE Transactions on Image Processing, Jan. 2020 (PDF).
W.-Y. Chen, T.-M. H. Hsu, Y.-H. H. Tsai, M.-S. Chen, and Y.-C. F. Wang, “Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond," IEEE Transactions on Image Processing ", Mar. 2019 (PDF).
K.-H. Lo, Y.-C. F. Wang, and K.-L. Hua, "Edge-preserving Depth Map Upsampling by Joint Trilateral Filter," IEEE Transactions on Cybernetics, Volume: 48, Issue: 1, Jan. 2018.
C.-A. Hou, Y.-H. H. Tsai, Y.-R. Yeh, and Y.-C. F. Wang, "Unsupervised Domain Adaptation with Label and Structural Consistency," IEEE Transactions on Image Processing, volume 25, number 12, pages 5552-5562, December 2016.
K.-H. Lo, Y.-C. F. Wang, and K.-L. Hua, "Example-based Image Textural Style Transfer," IEEE MultiMedia, volume 23, number 4, pages 60-66, October 2016.
K.-L. Hua, S. C. Hidayati, F.-L. He, C.-P. Wei and Y.-C. F. Wang, "Context-Aware Joint Dictionary Learning for Color Image Demosaicking," to appear in Journal of Visual Communication and Image Representation.
K.-S. Huang, P.-J. Chiu, H.-M. Tsai, C.-C. Kuo, H.-Y. Lee, and Y.-C. F. Wang, "RedEye: Preventing Collisions Caused by Red-Light Running Scooters with Smartphones," to appear in IEEE Transactions on Intelligent Transportation Systems (ITS).
K.-L. Hua, K.-H. Lo, and Y.-C. F. Wang, "Extended Guided Filtering for Depth Map Upsampling," IEEE MultiMedia, volume 23, number 2, pages 72-83, April 2016.
H.-S. Chang and Y.-C. F. Wang, "Optimizing the Decomposition for Multiple Foreground Cosegmentation," Computer Vision and Image Understanding, volume 141, pages 18-27, December 2015. (PDF, code)
C.-P. Wei and Y.-C. F. Wang, "Undersampled Face Recognition via Robust Auxiliary Dictionary Learning," IEEE Transactions on Image Processing, volume 24, number 6, pages 1722-1734, June 2015. (PDF, code)
T.-C. Lin, M.-C. Yang, C.-Y. Tsai, and Y.-C. F. Wang, "Query-Adaptive Multiple Instance Learning for Video Instance Retrieval," IEEE Transactions on Image Processing, volume 24, number 4, pages 1330-1340, April 2015. (PDF)
C.-P. Wei, C.-F. Chen, and Y.-C. F. Wang, "Robust Face Recognition with Structurally Incoherent Low-Rank Matrix Decomposition," IEEE Transactions on Image Processing, volume 23, number 8, pages 3294-3307, Aug. 2014. (PDF, code) (A shorter version appeared in CVPR '12)
Y.-R. Yeh, C.-H. Huang, and Y.-C. F. Wang, "Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation Subspace," IEEE Transactions on Image Processing, volume 23, number 5, pages 2009-2018, May 2014. (PDF, code) (A shorter version appeared in ECCV WS '12)
D.-A. Huang, L.-W. Kang, Y.-C. F. Wang, and C.-W. Lin, "Self-Learning Based Image Decomposition with Applications to Single Image Denoising," IEEE Transactions on Multimedia, volume 16, number 1, pages 83-93, January 2014. (PDF, code)
M.-C. Yang, W. K. Moon, Y.-C. F. Wang, M. S. Bae, C.-S. Huang, J.-H. Chen, and R.-F. Chang, "Robust Texture Analysis Using Multi-resolution Gray-scale Invariant Features for Breast Sonographic Tumor Diagnosis," IEEE Transactions on Medical Imaging, volume 32, number 12, pages 2262-2273, December 2013. (PDF)
W.-T. Li, H.-S. Chang, K.-C. Lien, H.-T. Chang, and Y.-C. F. Wang, "Exploring Visual and Motion Saliency for Automatic Video Object Extraction," IEEE Transactions on Image Processing, volume 22, no. 7, page 2600-2610, July 2013. (PDF, code)
Y.-J. Lee, Y.-R. Yeh, and Y.-C. F. Wang, "Anomaly Detection via Online Over-Sampling Principal Component Analysis," IEEE Transactions on Knowledge and Data Engineering, volume 25, no. 7, page 1460-1470, July 2013. (PDF, code)
C.-P. Wei, Y.-W. Chao, Y.-R. Yeh, and Y.-C. F. Wang, "Locality-Sensitive Dictionary Learning for Sparse Representation Based Classification," Pattern Recognition, volume 46, number 5, pages 1277-1287, May 2013. (PDF, code)
Y.-R. Yeh and Y.-C. F. Wang, "A Rank-One Update Method for Least Squares Linear Discriminant Analysis with Concept Drift," Pattern Recognition, volume 46, number 5, pages 1267-1276, May 2013. (PDF)
M.-C. Yang and Y.-C. F. Wang, "A Self-Learning Approach to Single Image Super-Resolution," IEEE Transactions on Multimedia, volume 15, number 3, April 2013. (PDF, code)
S.-W. Sun, Y.-C. F. Wang, F. Huang, and H.-Y. M. Liao, "Moving Foreground Object Detection via Robust SIFT Trajectories," Journal of Visual Communication and Image Representation, volume 24, number 3, April 2013. (PDF)
Y.-R. Yeh, T.-C. Lin, Y.-Y. Chung, and Y.-C. F. Wang, "A Novel Multiple Kernel Learning Framework for Heterogeneous Feature Fusion and Variable Selection," IEEE Transactions on Multimedia, volume 14, number 3, pages 563-574, June 2012. (PDF)
Y.-C. F. Wang and D. Casasent, "New support vector-based design method for binary hierarchical classifiers for multi-class classification problems," Neural Networks, (21) 2-3, Mar. - Apr. 2008, pp. 502-510. (PDF)
D. Casasent and Y.-C. Wang, "A hierarchical classifier using new support vector machine for automatic target recognition," Neural Networks, (18) 5-6, Jul. - Aug. 2005, pp. 541-548. (PDF)