王鈺強教授的著作列表 - Publication List of Yu-Chiang Frank Wang

Publication List of 王鈺強 Yu-Chiang Frank Wang

Journal articles & book chapters:

  1. Sheng-Yu Huang; Chi-Pin Huang; Kai-Po Chang; Zi-Ting Chou; I-Jieh Liu; Yu-Chiang Frank Wang, “Learning Shape-Color Diffusion Priors for Text-Guided 3D Object Generation,” IEEE Transactions on Multimedia, Jan. 2025
  2. C.-S. Lin and Y.-C. F. Wang, “Describe, Spot and Explain: Interpretable Representation Learning for Discriminative Visual Reasoning,” IEEE Transactions on Image Processing, Apr. 2023
  3. 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, Feb. 2023
  4. 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, Aug. 2022
  5. 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
  6. 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
  7. 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
  8. K.-H. Lo, Y.-C. F. Wang, and K.-L. Hua, “Edge-preserving Depth Map Upsampling by Joint Trilateral Filter,” IEEE Transactions on Cybernetics, 48(1), Jan. 2018
  9. 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, Dec. 2016
  10. 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, Oct. 2016
  11. 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, Apr. 2016
  12. 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, Oct. 2015
  13. D. Casasent and Y.-C. Wang, “A hierarchical classifier using new support vector machine for automatic target recognition,” Neural Networks, (18) 5-6, Jul. 2015
  14. 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, Jun. 2015
  15. 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, Apr. 2015
  16. 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
  17. 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
  18. D.-A. Huang, L.-W. Kang, Y.-C. F. Wang, and C.-W. Lin, “elf-Learning Based Image Decomposition with Applications to Single Image Denoising,” IEEE Transactions on Multimedia, volume 16, number 1, pages 83-93, Jan. 2014
  19. ​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, Dec. 2013
  20. 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, Jul. 2013
  21. 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, Jul. 2013
  22. 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
  23. 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
  24. ​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, Apr. 2013
  25. 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, Apr. 2013
  26. ​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, Jun. 2012
  27. 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. 2008
  28. 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
  29. 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)

Conference & proceeding papers:

  1. 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, Jun. 2025
  2. 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, Jun. 2025
  3. 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, Jun. 2025
  4. 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, Apr. 2025
  5. 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, Apr. 2025
  6. 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, Feb. 2025
  7. 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, Feb. 2025
  8. 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, Dec. 2024
  9. 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, Sept. 2024
  10. 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, Sept. 2024
  11. 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, Sept. 2024
  12. 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, Jul. 2024
  13. 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, Jun. 2024
  14. ​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, May 2024
  15. ​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, May 2024
  16. ​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 , Feb. 2024
  17. Y.-H. Lai, Y.-C. Chen, Y.-C. F. Wang, “Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser,” Neural Information Processing Systems, Dec. 2023
  18. 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, Dec. 2023
  19. 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, Oct. 2023
  20. 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, Oct. 2023
  21. 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, Oct. 2023
  22. 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, Jun. 2023
  23. ​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, Jun. 2023
  24. 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, Feb. 2023
  25. 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, Feb. 2023
  26. ​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, Jan. 2023
  27. 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, Dec. 2022
  28. 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, Dec. 2022
  29. 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, Oct. 2022
  30. 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, Jun. 2022
  31. 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, Jun. 2022
  32. 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, Feb. 2022
  33. 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, Jan. 2022
  34. 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, Dec. 2021
  35. 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, Sept. 2021
  36. 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, Sept. 2021
  37. 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, Sept. 2021
  38. 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, Sept. 2021
  39. 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, Sept. 2021
  40. 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, Sept. 2021
  41. 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), Jun. 2021
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. Y.-T. Liu, Y.-J. Li, and Y.-C. F. Wang, “Transforming Multi-Concept Attention into Video Summarization,” Asian Conference on Computer Vision (ACCV), Nov. 2020
  48. Y.-B. Lin, and Y.-C. F. Wang, “Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization,” Asian Conference on Computer Vision (ACCV), Nov. 2020
  49. 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), Oct. 2020
  50. W.-Y. Lee and Y.-C. F. Wang, “Learning Disentangled Feature Representations for Anomaly Detection,” IEEE International Conference on Image Processing (ICIP), Oct. 2020
  51. 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), Aug. 2020
  52. 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), Jun. 2020
  53. 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), Jun. 2020
  54. 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
  55. 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
  56. 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), Oct. 2019
  57. 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), Oct. 2019
  58. 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), Sept. 2019
  59. 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), Sept. 2019
  60. 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), Sept. 2019
  61. 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), Sept. 2019
  62. 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), Sept. 2019
  63. H.-J. Peng, C.-M. Wang, Y.-C. F. Wang, “Element-Embedded Style Transfer Networks for Style Harmonization,” British Machine Vision Conference (BMVC), Sept. 2019
  64. 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), Jun. 2019
  65. 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), Jun. 2019
  66. 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
  67. ​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), Jan. 2019
  68. A.-H. Liu, Y.-C. Liu, Y.-Y. Yeh, Y.-C. F. Wang, “A Unified Feature Disentangler for Multi-Domain Image Translation and Maniuplation,” Neural Information Processing Systems (NIPS), Dec. 2018
  69. 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), Oct. 2018
  70. W.-H. Chu, Y.-C. F. Wang, “Learning Semantics-Guided Visual Attention for Few-shot Image Classification,” IEEE International Conference on Image Processing (ICIP), Oct. 2018
  71. 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), Sept. 2018
  72. 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), Sept. 2018
  73. 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), Sept. 2018
  74. 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), Jun. 2018
  75. 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), Jun. 2018
  76. 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), Jun. 2018
  77. 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), Jun. 2018
  78. S.-F. Chen*, Y.-C. Chen*, C.-K. Yeh, Y.-C. F. Wang, “Order-Free RNN with Visual Attention for Multi-Label Classification,” The 32st AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, USA, Feb. 2018
  79. 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, Feb. 2018
  80. 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), Oct. 2017
  81. 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), Sept. 2017
  82. 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), Sept. 2017
  83. 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), Mar. 2017
  84. T.-L. Wang, K.-Y. Lee, and Y.-C. F. Wang, “Partial Image Blur Detection and Segmentation From a Single Snapshot,” EEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Mar. 2017
  85. 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), Mar. 2017
  86. 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), Feb. 2017
  87. 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), Oct. 2016
  88. 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), Sept. 2016
  89. 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), Sept. 2016
  90. 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), Sept. 2016
  91. 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), Jul. 2016
  92. 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), Jul. 2016
  93. 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), Jun. 2016
  94. 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), Mar. 2016
  95. 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), Mar. 2016
  96. 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), Mar. 2016
  97. 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
  98. 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
  99. H.-T. Chang, P.-C. Pan, Y.-C. F. Wang, and M.-S. Chen, “R2P: Recomposition and Retargeting of Photographic Images,” ACM Multimedia, Oct. 2015
  100. T.-Y. Lin, Y.-C. F. Wang, and S. Moss-Pultz, “ObjectMinutiae: Fingerprinting for Object Authentication,” ACM Multimedia, Oct. 2015
  101. 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
  102. 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
  103. 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
  104. J.-H. Chang and Y.-C. F. Wang, “Propagated Image Filtering,” IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Jun. 2015
  105. 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), Jun. 2015
  106. C.-P. Wei and Y.-C. F. Wang, “Undersampled Face Recognition with One-Pass Dictionary Learning,” IEEE International Conference on Multimedia & Expo (ICME), Jun. 2015
  107. 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
  108. 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
  109. H.-T. Chang, Y.-C. F. Wang, and M.-S. Chen, “Transfer in Photography Composition,” ACM Multimedia, Nov. 2014
  110. 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
  111. 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
  112. 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
  113. 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
  114. 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
  115. 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
  116. 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
  117. 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
  118. 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
  119. 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
  120. 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
  121. 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
  122. 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
  123. H.-S. Chang and Y.-C. F. Wang, “Superpixel-based Large Displacement Optical Flow,” IEEE International Conference on Image Processing (ICIP), Sept. 2013
  124. C.-P. Wei and Y.-C. F. Wang, “Learning Auxiliary Dictionaries for Undersampled Face Recognition,” IEEE International Conference on Multimedia & Expo (ICME), Jul. 2013
  125. 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, Jul. 2013
  126. 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, Jul. 2013
  127. 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
  128. 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
  129. 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
  130. 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
  131. 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
  132. 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
  133. 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
  134. 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
  135. 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
  136. 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
  137. .-F. Chen and Y.-C. F. Wang, “Exploring Self-Similarity of Bag-of-Features for Image Classification,” ACM Multimedia, 2011
  138. 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
  139. 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
  140. 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
  141. 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
  142. 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
  143. 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
  144. 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
  145. 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
  146. K.-C. Lien and Y.-C. F. Wang, “Automatic Object Extraction in Single-Concept Videos,” IEEE International Conference on Multimedia & Expo, 2011
  147. 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
  148. S.-C. Wang and Y.-C. F. Wang, “A Multi-Scale Learning Framework for Visual Categorization,” Asian Conference on Computer Vision (ACCV), Nov. 2010
  149. 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, Sept. 2010
  150. 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
  151. 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
  152. 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
  153. 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
  154. 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
  155. Y.-C. F. Wang and D. Casasent, “New design method for a hierarchical SVM-based classifier,” Proc. SPIE,Vol. 6764, Sept. 2007
  156. 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
  157. 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
  158. 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
  159. Y.-C. Wang and D. Casasent, “New hierarchical SVM classifier for multi-class target recognition,” Proc. SPIE, Vol. 6006, Oct. 2005
  160. 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
  161. D. Casasent and Y.-C. Wang, “Automatic target recognition using new support vector machine,” IEEE Int'l Joint Conf. on Neural Networks, Aug. 2005
  162. Y.-C. Wang and D. Casasent, “Multimodal biometric fusion using data quality information,” Proc. SPIE, Vol. 5816, Mar. 2005
  163. D. Casasent and Y.-C. Wang, “New distortion-invariant SVRDM hierarchial classifier,” Proc. SPIE, Vol. 5608, Oct. 2004