| 2026 | ACL | Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception. | Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, Hanrong Ye, Ankita Pasad, Szu-Wei Fu, Arushi Goel, Ryo Hachiuma, Shizhe Diao, Kunal Dhawan, Sreyan Ghosh, Yusuke Hirota, Zhehuai Chen, Rafael Valle, Chenhui Chu, Shinji Watanabe, Boris Ginsburg, Yu-Chiang Frank Wang |
| 2026 | WACV | Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment. | Kai-Po Chang, Wei-Yuan Cheng, Chi-Pin Huang, Fu-En Yang, Yu-Chiang Frank Wang |
| 2026 | WACV | TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors. | Wei-Yuan Cheng, Kai-Po Chang, Chi-Pin Huang, Fu-En Yang, Yu-Chiang Frank Wang |
| 2025 | ACL | Serial Lifelong Editing via Mixture of Knowledge Experts. | YuJu Cheng, Yu-Chu Yu, Kai-Po Chang, Yu-Chiang Frank Wang |
| 2025 | ACL | LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. | Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic, Marco Pavone, Yejin Choi, Yu-Chiang Frank Wang, Yuta Nakashima, Chao-Han Huck Yang |
| 2025 | ACL | NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model. | Yen-Ting Lin, Zhehuai Chen, Piotr Zelasko, Zhen Wan, Xuesong Yang, Zih-Ching Chen, Krishna C. Puvvada, Ke Hu, Szu-Wei Fu, Jun Wei Chiu, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Chao-Han Huck Yang |
| 2025 | CVPR | Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering. | Cheng Sun, Jaesung Choe, Charles Loop, Wei-Chiu Ma, Yu-Chiang Frank Wang |
| 2025 | CVPR | Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks. | Miran Heo, Min-Hung Chen, De-An Huang, Sifei Liu, Subhashree Radhakrishnan, Seon Joo Kim, Yu-Chiang Frank Wang, Ryo Hachiuma |
| 2025 | CVPR | 3D Gaussian Inpainting with Depth-Guided Cross-View Consistency. | Sheng-Yu Huang, Zi-Ting Chou, Yu-Chiang Frank Wang |
| 2025 | CVPR | VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models. | Chi-Pin Huang, Yen-Siang Wu, Hung-Kai Chung, Kai-Po Chang, Fu-En Yang, Yu-Chiang Frank Wang |
| 2025 | CVPR | Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration. | Kim Jun-Seong, GeonU Kim, Kim Yu-Ji, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh |
| 2025 | CVPR | UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing. | Yung-Hsuan Lai, Janek Ebbers, Yu-Chiang Frank Wang, Franois G. Germain, Michael J. Jones, Moitreya Chatterjee |
| 2025 | CVPR | VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models. | Byung-Kwan Lee, Ryo Hachiuma, Yu-Chiang Frank Wang, Yong Man Ro, Yueh-Hua Wu |
| 2025 | CVPR | Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation. | Junha Lee, Chunghyun Park, Jaesung Choe, Yu-Chiang Frank Wang, Jan Kautz, Minsu Cho, Christopher B. Choy |
| 2025 | CVPR | Segment Anything, Even Occluded. | Wei-En Tai, Yu-Lin Shih, Cheng Sun, Yu-Chiang Frank Wang, Hwann-Tzong Chen |
| 2025 | ICASSP | Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. | Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-Yi Lee |
| 2025 | ICCV | Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation. | Yusuke Hirota, Ryo Hachiuma, Boyi Li, Ximing Lu, Michael Ross Boone, Boris Ivanovic, Yejin Choi, Marco Pavone, Yu-Chiang Frank Wang, Noa Garcia, Yuta Nakashima, Chao-Han Huck Yang |
| 2025 | ICCV | Continual Personalization for Diffusion Models. | Yu-Chien Liao, Jr-Jen Chen, Chi-Pin Huang, Ci-Siang Lin, Meng-Lin Wu, Yu-Chiang Frank Wang |
| 2025 | ICCV | MotionMatcher: Cinematic Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching. | Yen-Siang Wu, Chi-Pin Huang, Fu-En Yang, Yu-Chiang Frank Wang |
| 2025 | ICLR | SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP. | Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma |
| 2025 | ICLR | UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. | Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R. Glass, Rafael Valle, Bryan Catanzaro |
| 2025 | Interspeech | Universal Speech Enhancement with Regression and Generative Mamba. | Rong Chao, Rauf Nasretdinov, Yu-Chiang Frank Wang, Ante Jukic, Szu-Wei Fu, Yu Tsao |
| 2025 | Interspeech | VoiceNoNG: Robust High-Quality Speech Editing Model without Hallucinations. | Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Pin-Jui Ku, Ante Jukic, Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee, Szu-Wei Fu |
| 2025 | WACV | Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation. | Ci-Siang Lin, Chien-Yi Wang, Yu-Chiang Frank Wang, Min-Hung Chen |
| 2025 | WACV | Data-Efficient 3D Visual Grounding via Order-Aware Referring. | Tung-Yu Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang |
| 2024 | AAAI | Language-Guided Transformer for Federated Multi-Label Classification. | I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang |
| 2024 | CVPR | Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction. | Cheng Sun, Wei-En Tai, Yu-Lin Shih, Kuan-Wei Chen, Yong-Jing Syu, Kent Selwyn The, Yu-Chiang Frank Wang, Hwann-Tzong Chen |
| 2024 | CVPR | GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding. | Zi-Ting Chou, Sheng-Yu Huang, I-Jieh Liu, Yu-Chiang Frank Wang |
| 2024 | ECCV | SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation. | Yi-Chia Chen, Wei-Hua Li, Cheng Sun, Yu-Chiang Frank Wang, Chu-Song Chen |
| 2024 | ECCV | Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers. | Chi-Pin Huang, Kai-Po Chang, Chung-Ting Tsai, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang |
| 2024 | ECCV | TPA3D: Triplane Attention for Fast Text-to-3D Generation. | Bin-Shih Wu, Hong-En Chen, Sheng-Yu Huang, Yu-Chiang Frank Wang |
| 2024 | ECCV | Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models. | Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen, Kai-Po Chang, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang |
| 2024 | ICASSP | Enhancing Violin Fingering Generation through Audio-Symbolic Fusion. | Wei-Yang Lin, Yu-Chiang Frank Wang, Li Su |
| 2024 | ICLR | RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering. | Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng, Fu-En Yang, Chien-Yi Wang, Yung-Hsuan Lai, Yu-Chiang Frank Wang |
| 2024 | ICLR | Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. | Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang |
| 2024 | ICML | DoRA: Weight-Decomposed Low-Rank Adaptation. | Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen |
| 2024 | Interspeech | DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. | Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee |
| 2023 | AAAI | Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. | Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang |
| 2023 | AAAI | Target-Free Text-Guided Image Manipulation. | Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang |
| 2023 | CVPR | TSRFormer: Transformer Based Two-stage Refinement for Single Image Shadow Removal. | Hua-En Chang, Chia-Hsuan Hsieh, Hao-Hsiang Yang, I-Hsiang Chen, Yi-Chung Chen, Yu-Chiang Frank Wang, Zhi-Kai Huang, Wei-Ting Chen, Sy-Yen Kuo |
| 2023 | CVPR | Bias-Eliminating Augmentation Learning for Debiased Federated Learning. | Yuan-Yi Xu, Ci-Siang Lin, Yu-Chiang Frank Wang |
| 2023 | EMNLP | LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. | Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang |
| 2023 | ICASSP | Semantics-Aware Gamma Correction for Unsupervised Low-Light Image Enhancement. | Yu-Hsuan Chen, Fu-Cheng Pan, Yu-Chien Liao, Jao-Hong Kao, Yu-Chiang Frank Wang |
| 2023 | ICCV | Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation. | Fu-En Yang, Chien-Yi Wang, Yu-Chiang Frank Wang |
| 2023 | ICIP | Interpreting Latent Representation in Neural Radiance Fields for Manipulating Object Semantics. | Yu-Shan Huang, Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang |
| 2023 | ICIP | Consistent and Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting. | Chiao-An Yang, Meng-Lin Wu, Raymond A. Yeh, Yu-Chiang Frank Wang |
| 2023 | WACV | Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond. | Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Yu-Chiang Frank Wang |
| 2022 | AAAI | Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation. | Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang |
| 2022 | CVPR | NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. | Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang |
| 2022 | CVPR | Scene Graph Expansion for Semantics-Guided Image Outpainting. | Chiao-An Yang, Cheng-Yo Tan, Wan-Cyuan Fan, Cheng-Fu Yang, Meng-Lin Wu, Yu-Chiang Frank Wang |
| 2022 | ICASSP | Domain-Agnostic Meta-Learning for Cross-Domain Few-Shot Classification. | Wei-Yu Lee, Jheng-Yu Wang, Yu-Chiang Frank Wang |
| 2022 | ICIP | 3D-Selfcutmix: Self-Supervised Learning for 3D Point Cloud Analysis. | Yuan-Yi Xu, Yan-Yang Ji, Sheng-Yu Huang, Zhi-Hao Lin, Yu-Chiang Frank Wang |
| 2022 | WACV | A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation. | Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang |
| 2021 | AAAI | Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation. | Yan-Bo Lin, Yu-Chiang Frank Wang |
| 2021 | CVPR | LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity. | Cheng-Fu Yang, Wan-Cyuan Fan, Fu-En Yang, Yu-Chiang Frank Wang |
| 2021 | ICIP | Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains. | Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang |
| 2021 | ICIP | Representation Decomposition For Image Manipulation And Beyond. | Shang-Fu Chen, Jia-Wei Yan, Ya-Fan Su, Yu-Chiang Frank Wang |
| 2021 | ICIP | Self-Supervised Bodymap-to-Appearance Co-Attention for Partial Person Re-Identification. | Ci-Siang Lin, Yu-Chiang Frank Wang |
| 2021 | ICIP | Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation. | Zu-Yun Shiau, Weiwei Lin, Ci-Siang Lin, Yu-Chiang Frank Wang |
| 2021 | ICIP | Robust Image Outpainting With Learnable Image Margins. | Cheng-Yo Tan, Chiao-An Yang, Shang-Fu Chen, Meng-Lin Wu, Yu-Chiang Frank Wang |
| 2021 | MICCAI | Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection. | Hao-Hsiang Yang, Fu-En Wang, Cheng Sun, Kuan-Chih Huang, Hung-Wei Chen, Yi Chen, Hung-Chih Chen, Chun-Yu Liao, Shih-Hsuan Kao, Yu-Chiang Frank Wang, Chou-Chin Lan |
| 2020 | ACCV | Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization. | Yan-Bo Lin, Yu-Chiang Frank Wang |
| 2020 | ACCV | Transforming Multi-concept Attention into Video Summarization. | Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang |
| 2020 | CVPR | Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment. | Po-Hsiang Huang, Fu-En Yang, Yu-Chiang Frank Wang |
| 2020 | CVPR | Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis. | Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang |
| 2020 | ECCV | Learning to Learn in a Semi-supervised Fashion. | Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang |
| 2020 | ICASSP | Self-Supervised Deep Learning for Fisheye Image Rectification. | Chun-Hao Chao, Pin-Lun Hsu, Hung-Yi Lee, Yu-Chiang Frank Wang |
| 2020 | ICASSP | Face Feature Recovery via Temporal Fusion for Person Search. | Cheng-Yu Fan, Chao-Peng Liu, Kuan-Chun Wang, Jiun-Hao Jhan, Yu-Chiang Frank Wang, Jun-Cheng Chen |
| 2020 | ICIP | Learning Disentangled Feature Representations For Anomaly Detection. | Wei-Yu Lee, Yu-Chiang Frank Wang |
| 2020 | ICIP | Space-Time Guided Association Learning For Unsupervised Person Re-Identification. | Chih-Wei Wu, Chih-Ting Liu, Wei-Chih Tu, Yu Tsao, Yu-Chiang Frank Wang, Shao-Yi Chien |
| 2020 | ICIP | Wavelet Channel Attention Module With A Fusion Network For Single Image Deraining. | Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang |
| 2020 | ICPR | Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning. | Ci-Siang Lin, Yuan-Chia Cheng, Yu-Chiang Frank Wang |
| 2020 | ICPR | Learning Interpretable Representation for 3D Point Clouds. | Feng-Guang Su, Ci-Siang Lin, Yu-Chiang Frank Wang |
| 2020 | ICPR | Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis. | Fu-En Yang, Jing-Cheng Chang, Yuan-Hao Lee, Yu-Chiang Frank Wang |
| 2020 | ICPR | Semantics-Guided Representation Learning with Applications to Visual Synthesis. | Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang, Yu-Jhe Li, Yu-Chiang Frank Wang |
| 2019 | AAAI | Learning Resolution-Invariant Deep Representations for Person Re-Identification. | Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang |
| 2019 | BMVC | Guide Your Eyes: Learning Image Manipulation under Saliency Guidance. | Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Yu-Chiang Frank Wang, Wei-Chen Chiu |
| 2019 | BMVC | Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification. | Chih-Ting Liu, Chih-Wei Wu, Yu-Chiang Frank Wang, Shao-Yi Chien |
| 2019 | BMVC | Element-Embedded Style Transfer Networks for Style Harmonization. | Hwai-Jin Peng, Chia-Ming Wang, Yu-Chiang Frank Wang |
| 2019 | CVPR | Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. | Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu, Yu-Chiang Frank Wang |
| 2019 | CVPR | Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification. | Wen-Hsuan Chu, Yu-Jhe Li, Jing-Cheng Chang, Yu-Chiang Frank Wang |
| 2019 | ICASSP | Perceptual Quality Preserving Image Super-resolution via Channel Attention. | Wei-Yu Lee, Po-Yu Chuang, Yu-Chiang Frank Wang |
| 2019 | ICASSP | Learning Pose-aware 3D Reconstruction via 2D-3D Self-consistency. | Yi-Lun Liao, Yao-Cheng Yang, Yuan-Fang Lin, Pin-Jung Chen, Chia-Wen Kuo, Wei-Chen Chiu, Yu-Chiang Frank Wang |
| 2019 | ICASSP | Dual-modality Seq2Seq Network for Audio-visual Event Localization. | Yan-Bo Lin, Yu-Jhe Li, Yu-Chiang Frank Wang |
| 2019 | ICCV | Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. | Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang |
| 2019 | ICCV | Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation. | Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang |
| 2019 | ICIP | Semantics-Guided Data Hallucination for Few-Shot Visual Classification. | Chia-Ching Lin, Yu-Chiang Frank Wang, Chin-Laung Lei, Kuan-Ta Chen |
| 2019 | ICIP | Learning Hierarchical Self-Attention for Video Summarization. | Yen-Ting Liu, Yu-Jhe Li, Fu-En Yang, Shang-Fu Chen, Yu-Chiang Frank Wang |
| 2019 | ICIP | Weakly-Supervised Learning for Attention-Guided Skull Fracture Classification In Computed Tomography Imaging. | Cheng-Yen Yang, Chi-Hsin Lo, Huan-Chih Wang, Jen-Hai Chou, Yu-Chiang Frank Wang |
| 2019 | ICLR | A Closer Look at Few-shot Classification. | Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang |
| 2018 | AAAI | Order-Free RNN With Visual Attention for Multi-Label Classification. | Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang |
| 2018 | BMVC | Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies. | Jan Klopp, Yu-Chiang Frank Wang, Shao-Yi Chien, Liang-Gee Chen |
| 2018 | CVPR | Deep Aggregation Net for Land Cover Classification. | Tzu-Sheng Kuo, Keng-Sen Tseng, Jia-Wei Yan, Yen-Cheng Liu, Yu-Chiang Frank Wang |
| 2018 | CVPR | Multi-Label Zero-Shot Learning With Structured Knowledge Graphs. | Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang |
| 2018 | CVPR | Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation. | Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang |
| 2018 | CVPR | Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. | Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang |
| 2018 | ECCV | Deep Generative Models for Weakly-Supervised Multi-Label Classification. | Hong-Min Chu, Chih-Kuan Yeh, Yu-Chiang Frank Wang |
| 2018 | ECCV | Summarizing First-Person Videos from Third Persons' Points of Views. | Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang |
| 2018 | ICIP | Learning Semantics-Guided Visual Attention for Few-Shot Image Classification. | Wen-Hsuan Chu, Yu-Chiang Frank Wang |
| 2018 | ICIP | Deep Reinforcement Learning for Playing 2.5D Fighting Games. | Yu-Jhe Li, Hsin-Yu Chang, Yu-Jing Lin, Po-Wei Wu, Yu-Chiang Frank Wang |
| 2017 | AAAI | Learning Deep Latent Space for Multi-Label Classification. | Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang |
| 2017 | BMVC | Semantics-Preserving Locality Embedding for Zero-Shot Learning. | Shi-Yen Tao, Yi-Ren Yeh, Yu-Chiang Frank Wang |
| 2017 | ICASSP | Enhanced canonical correlation analysis with local density for cross-domain visual classification. | Wei-Jen Ko, Jheng-Ying Yu, Wei-Yu Chen, Yu-Chiang Frank Wang |
| 2017 | ICASSP | Learning Grassmann manifolds for object state discovery. | Hao-Wei Lee, Chia-Po Wei, Yu-Chiang Frank Wang |
| 2017 | ICASSP | Partial image blur detection and segmentation from a single snapshot. | Te-Li Wang, Kuan-Yun Lee, Yu-Chiang Frank Wang |
| 2017 | ICCV | No More Discrimination: Cross City Adaptation of Road Scene Segmenters. | Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun |
| 2017 | ICIP | Occlusion-aware face inpainting via generative adversarial networks. | Yu-An Chen, Wei-Che Chen, Chia-Po Wei, Yu-Chiang Frank Wang |
| 2016 | AAAI | Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation. | Yao-Hung Hubert Tsai, Cheng-An Hou, Wei-Yu Chen, Yi-Ren Yeh, Yu-Chiang Frank Wang |
| 2016 | CVPR | Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation. | Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang |
| 2016 | ECCV | Transfer Neural Trees for Heterogeneous Domain Adaptation. | Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang, Ming-Syan Chen |
| 2016 | ICASSP | Style-centric image summarization from photographic views of a city. | Wei-Yi Chang, Yu-Chiang Frank Wang |
| 2016 | ICASSP | Heterogeneous domain adaptation with label and structure consistency. | Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang |
| 2016 | ICASSP | Style retrieval from natural images. | Ting-En Tseng, Wei-Yi Chang, Chu-Song Chen, Yu-Chiang Frank Wang |
| 2016 | MMSP | Learning patch-based anchors for face hallucination. | Wei-Jen Ko, Yu-Chiang Frank Wang, Shao-Yi Chien |
| 2016 | MMSP | Robust propagated filtering with applications to image texture filtering and beyond. | Hsin-Yuan Dennis Wen, Yu-Chiang Frank Wang |
| 2016 | MMSP | Learning graph fusion for query and database specific image retrieval. | Chih-Kuan Yeh, Wei-Chieh Wu, Yu-Chiang Frank Wang |
| 2015 | AVSS | An unsupervised domain adaptation approach for cross-domain visual classification. | Cheng-An Hou, Yi-Ren Yeh, Yu-Chiang Frank Wang |
| 2015 | CVPR | Propagated image filtering. | Jen-Hao Rick Chang, Yu-Chiang Frank Wang |
| 2015 | ICCV | Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data. | Tzu-Ming Harry Hsu, Wei-Yu Chen, Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang |
| 2015 | ICIP | Connecting the dots without clues: Unsupervised domain adaptation for cross-domain visual classification. | Wei-Yu Chen, Tzu-Ming Harry Hsu, Cheng-An Hou, Yi-Ren Yeh, Yu-Chiang Frank Wang |
| 2015 | ICIP | Graph regularized low-rank matrix recovery for robust person re-identification. | Ming-Chia Tsai, Chia-Po Wei, Yu-Chiang Frank Wang |
| 2014 | ACCV | Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation. | Haw-Shiuan Chang, Yu-Chiang Frank Wang |
| 2014 | ICASSP | Extended-bag-of-features for translation, rotation, and scale-invariant image retrieval. | Chia-Yin Tsai, Ting-Chu Lin, Chia-Po Wei, Yu-Chiang Frank Wang |
| 2014 | ICIP | Exploiting low-rank structures from cross-camera images for robust person re-identification. | Ming-Hang Fu, Yu-Chiang Frank Wang, Chu-Song Chen |
| 2014 | ICIP | Exploiting image structural similarity for single image rain removal. | Shao-Hua Sun, Shang-Pu Fan, Yu-Chiang Frank Wang |
| 2014 | ICIP | Person-specific domain adaptation with applications to heterogeneous face recognition. | Yao-Hung Tsai, Hung-Ming Hsu, Cheng-An Hou, Yu-Chiang Frank Wang |
| 2014 | ICPR | Multi-view Nonnegative Matrix Factorization for Clothing Image Characterization. | Wei-Yi Chang, Chia-Po Wei, Yu-Chiang Frank Wang |
| 2014 | ICPR | Domain Adaptive Self-Taught Learning for Heterogeneous Face Recognition. | Cheng-An Hou, Min-Chun Yang, Yu-Chiang Frank Wang |
| 2013 | ICASSP | Depth map super-resolution via Markov Random Fields without texture-copying artifacts. | Kai-Han Lo, Kai-Lung Hua, Yu-Chiang Frank Wang |
| 2013 | ICCV | Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition. | De-An Huang, Yu-Chiang Frank Wang |
| 2013 | ICIP | Superpixel-based large displacement optical flow. | Haw-Shiuan Chang, Yu-Chiang Frank Wang |
| 2013 | ICIP | A discriminative domain adaptation model for cross-domain image classification. | Yen-Cheng Chou, Chia-Po Wei, Yu-Chiang Frank Wang |
| 2013 | ICIP | Cross-view action recognition via low-rank based domain adaptation. | Wen-Sheng Tseng, Lun-Kai Hsu, Li-Wei Kang, Yu-Chiang Frank Wang |
| 2013 | MVA | Solving Nonlinear SVM in Linear Time? A Nystrm Approximated SVM with Applications to Image Classification. | Ming-Hen Tsai, Yi-Ren Yeh, Yuh-Jye Lee, Yu-Chiang Frank Wang |
| 2013 | VCIP | Joint trilateral filtering for depth map super-resolution. | Kai-Han Lo, Yu-Chiang Frank Wang, Kai-Lung Hua |
| 2012 | CVPR | Low-rank matrix recovery with structural incoherence for robust face recognition. | Chih-Fan Chen, Chia-Po Wei, Yu-Chiang Frank Wang |
| 2012 | ECCV | Recognizing Actions across Cameras by Exploring the Correlated Subspace. | Chun-Hao Huang, Yi-Ren Yeh, Yu-Chiang Frank Wang |
| 2012 | ICIP | Self-learning approach to color demosaicking via support vector regression. | Fang-Lin He, Yu-Chiang Frank Wang, Kai-Lung Hua |
| 2012 | ICIP | Automatic saliency inspired foreground object extraction from videos. | Wei-Te Li, Hui-Tang Chang, Hermes Shing Lyu, Yu-Chiang Frank Wang |
| 2012 | VCIP | Context-aware single image super-resolution using locality-constrained group sparse representation. | Chih-Yun Tsai, De-An Huang, Min-Chun Yang, Li-Wei Kang, Yu-Chiang Frank Wang |
| 2011 | ICIP | Locality-constrained group sparse representation for robust face recognition. | Yu-Wei Chao, Yi-Ren Yeh, Yu-Wen Chen, Yuh-Jye Lee, Yu-Chiang Frank Wang |
| 2011 | ICIP | Joint source-channel coding optimization with packet loss resilience for video transmission. | Ching-Hui Chen, Wei-Ho Chung, Yu-Chiang Frank Wang |
| 2011 | ICIP | Cross-layer design for video streaming with dynamic antenna selection. | Ching-Hui Chen, Wei-Ho Chung, Yu-Chiang Frank Wang |
| 2011 | ICIP | Learning context-aware sparse representation for single image super-resolution. | Ming-Chun Yang, Chang-Heng Wang, Ting-Yao Hu, Yu-Chiang Frank Wang |
| 2011 | IJCNN | Group lasso regularized multiple kernel learning for heterogeneous feature selection. | Yi-Ren Yeh, Yung-Yu Chung, Ting-Chu Lin, Yu-Chiang Frank Wang |
| 2011 | VCIP | Learning of context-aware single image super-resolution. | Ming-Chun Yang, Ting-Yao Hu, Chang-Heng Wang, Yu-Chiang Frank Wang |
| 2010 | ACCV | A Multi-Scale Learning Framework for Visual Categorization. | Shao-Chuan Wang, Yu-Chiang Frank Wang |
| 2010 | AVSS | Learning Dense Optical-Flow Trajectory Patterns for Video Object Extraction. | Wang-Chou Lu, Yu-Chiang Frank Wang, Chu-Song Chen |
| 2010 | AVSS | Simultaneous Object Recognition and Localization in Image Collections. | Shao-Chuan Wang, Yu-Chiang Frank Wang |
| 2010 | ICIP | Learning sparse image representation with support vector regression for single-image super-resolution. | Ming-Chun Yang, Chao-Tsung Chu, Yu-Chiang Frank Wang |
| 2009 | IJCNN | A support vector hierarchical method for multi-class classification and rejection. | Yu-Chiang Frank Wang, David P. Casasent |
| 2008 | IJCNN | Soft-decision hierarchical classification using SVM-type classifiers. | Yu-Chiang Frank Wang, David P. Casasent |
| 2007 | IJCNN | New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification. | Yu-Chiang Frank Wang, David P. Casasent |
| 2006 | IJCNN | Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification. | Yu-Chiang Frank Wang, David P. Casasent |