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ORCIDYu-Chiang Frank Wang
Yu-Chiang Wang 0001 – 王鈺強
Person information
- unicode name: 王鈺強
- affiliation: National Taiwan University, Vision and Learning Lab, Taipei City, Taiwan
- affiliation: NVIDIA Research Taiwan, Taipei City, Taiwan
- affiliation (PhD 2009): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Yu-Chiang Wang — disambiguation page
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2020 – today
- 2026
[j31]Xiaoqian Shen, Min-Hung Chen, Yu-Chiang Frank Wang, Mohamed Elhoseiny, Ryo Hachiuma:
Zoom-Zero: Coarse-to-Fine Video Understanding with Token-Selective Optimization. Trans. Mach. Learn. Res. 2026 (2026)- [c207]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:
Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception. ACL (1) 2026: 43124-43142 - [c206]Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang:
Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning. CVPR 2026: 5070-5081 - [c205]Byung-Kwan Lee, Yu-Chiang Frank Wang, Ryo Hachiuma:
Masking Teacher and Reinforcing Student for Distilling Vision-Language Models. CVPR 2026: 10126-10141 - [c204]Chang-Hsun Wu, Kai-Po Chang, Yu-Yang Sheng, Hung-Kai Chung, Kuei-Chun Wang, Yu-Chiang Frank Wang:
SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding. CVPR 2026: 11096-11105 - [c203]Sheng-Yu Huang, Jaesung Choe, Yu-Chiang Frank Wang, Cheng Sun:
OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene Understanding. CVPR 2026: 16734-16745 - [c202]Shih-Wen Liu, Yen-Chang Chen, Wei-Ta Chu, Fu-En Yang, Yu-Chiang Frank Wang:
Frequency Switching Mechanism for Parameter-Efficient Multi-Task Learning. CVPR 2026: 20273-20282 - [c201]Chiao-An Yang, Ryo Hachiuma, Sifei Liu, Subhashree Radhakrishnan, Raymond A. Yeh, Yu-Chiang Frank Wang, Min-Hung Chen:
4D-RGPT: Toward Region-level 4D Understanding via Perceptual Distillation. CVPR 2026: 31042-31053 - [c200]Yusuke Hirota, Michael Ross Boone, Arun George Zachariah, Jibin Rajan Varghese, Yu-Chiang Frank Wang, Boyi Li, Ryo Hachiuma:
Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models. ECCV (66) 2026: 19-37 - [c199]Kim Yu-Ji
, Dahye Lee, Kim Jun-Seong, Nam Hyeon-Woo, GeonU Kim, Yongjin Kwon, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh:
SplatReasoner: Enhancing Embodied Reasoning and Grounding by Novel View Synthesis. ECCV (70) 2026: 133-151 - [c198]Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu:
GenRecal: Generation After Recalibration from Large to Small Vision-Language Models. ECCV (46) 2026: 152-172 - [c197]Yen-Siang Wu, Rundong Luo, Jingsen Zhu, Tao Tu, Ali Farhadi, Matthew Wallingford, Yu-Chiang Frank Wang, Steve Marschner, Wei-Chiu Ma:
Seeing Fast and Slow: Learning the Flow of Time in Videos. ECCV (57) 2026: 529-547 - [c196]Kuang-Da Wang, Teng-Ruei Chen, Yu-Heng Hung, Guo-Xun Ko, Shuoyang Ding, Yueh-Hua Wu, Yu-Chiang Frank Wang, Chao-Han Huck Yang, Wen-Chih Peng, Ping-Chun Hsieh:
Test-Time Alignment for Large Language Models via Textual Model Predictive Control. ICLR 2026 - [c195]Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Zhen Wan, Jinchuan Tian, An-Chieh Cheng, Ligeng Zhu, Yuanhang Su, Yuming Lou, Yong-Xiang Lin, Dong Yang, Sreyan Ghosh, Zhijian Liu, Yukang Chen, Ehsan Jahangiri, Ambrish Dantrey, Daguang Xu, Ehsan Hosseini-Asl, Danial Mohseni-Taheri, Vidya Nariyambut Murali, Sifei Liu, Yao Lu, Oluwatobi Olabiyi, Yu-Chiang Frank Wang, Rafael Valle, Bryan Catanzaro, Andrew Tao, Song Han, Jan Kautz, Hongxu Yin, Pavlo Molchanov:
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM. ICLR 2026 - [c194]Wei-Yuan Cheng, Kai-Po Chang, Chi-Pin Huang, Fu-En Yang, Yu-Chiang Frank Wang:
TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors. WACV 2026: 225-235 - [c193]Kai-Po Chang, Wei-Yuan Cheng, Chi-Pin Huang, Fu-En Yang, Yu-Chiang Frank Wang:
Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment. WACV 2026: 3172-3181 - [i135]Wei-Yuan Cheng, Kai-Po Chang, Chi-Pin Huang, Fu-En Yang, Yu-Chiang Frank Wang:
TA-Prompting: Enhancing Video Large Language Models for Dense Video Captioning via Temporal Anchors. CoRR abs/2601.02908 (2026) - [i134]Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Peter Belcak, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov:
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization. CoRR abs/2601.05242 (2026) - [i133]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, Ehsan Hosseini-Asl, Chenhui Chu, Shinji Watanabe, Yu-Chiang Frank Wang, Boris Ginsburg:
Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception. CoRR abs/2601.09413 (2026) - [i132]Sheng-Yu Huang, Jaesung Choe, Yu-Chiang Frank Wang, Cheng Sun:
OpenVoxel: Training-Free Grouping and Captioning Voxels for Open-Vocabulary 3D Scene Understanding. CoRR abs/2601.09575 (2026) - [i131]Chi-Pin Huang, Yunze Man, Zhiding Yu, Min-Hung Chen, Jan Kautz, Yu-Chiang Frank Wang, Fu-En Yang:
Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning. CoRR abs/2601.09708 (2026) - [i130]Kim Yu-Ji, Dahye Lee, Kim Jun-Seong, GeonU Kim, Nam Hyeon-Woo, Yongjin Kwon, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh:
GaussExplorer: 3D Gaussian Splatting for Embodied Exploration and Reasoning. CoRR abs/2601.13132 (2026) - [i129]Ting-Hsun Chi, Chu-Rong Chen, Chi-Tun Hsu, Hsuan-Ting Lin, Sheng-Yu Huang, Cheng Sun, Yu-Chiang Frank Wang:
Advancing Structured Priors for Sparse-Voxel Surface Reconstruction. CoRR abs/2601.17720 (2026) - [i128]Yoonwoo Jeong, Cheng Sun, Yu-Chiang Frank Wang, Minsu Cho, Jaesung Choe:
MV-SAM: Multi-view Promptable Segmentation using Pointmap Guidance. CoRR abs/2601.17866 (2026) - [i127]Szu-Wei Fu, Rong Chao, Xuesong Yang, Sung-Feng Huang, Ryandhimas E. Zezario, Rauf Nasretdinov, Ante Jukic, Yu Tsao, Yu-Chiang Frank Wang:
Rethinking Training Targets, Architectures and Data Quality for Universal Speech Enhancement. CoRR abs/2603.02641 (2026) - [i126]Bo-Cheng Qiu, Yu-Fan Lin, Yu-Zhe Pien, Chia-Ming Lee, Fu-En Yang, Yu-Chiang Frank Wang, Chih-Chung Hsu:
VISTA: Validation-Guided Integration of Spatial and Temporal Foundation Models with Anatomical Decoding for Rare-Pathology VCE Event Detection. CoRR abs/2603.18343 (2026) - [i125]Ke-Han Lu, Szu-Wei Fu, Chao-Han Huck Yang, Zhehuai Chen, Sung-Feng Huang, Chih-Kai Yang, Yi-Cheng Lin, Chi-Yuan Hsiao, Wenze Ren, En-Pei Hu, Yu-Han Huang, An-Yu Cheng, Cheng-Han Chiang, Yu Tsao, Yu-Chiang Frank Wang, Hung-Yi Lee:
How Auditory Knowledge in LLM Backbones Shapes Audio Language Models: A Holistic Evaluation. CoRR abs/2603.19195 (2026) - [i124]Shih-Wen Liu, Yen-Chang Chen, Wei-Ta Chu, Fu-En Yang, Yu-Chiang Frank Wang:
Frequency Switching Mechanism for Parameter-E!cient Multi-Task Learning. CoRR abs/2603.21111 (2026) - [i123]Rong-Lin Jian, Ting-Yao Chen, Yu-Fan Lin, Chia-Ming Lee, Fu-En Yang, Yu-Chiang Frank Wang, Chih-Chung Hsu:
CANDLE: Illumination-Invariant Semantic Priors for Color Ambient Lighting Normalization. CoRR abs/2604.02785 (2026) - [i122]Jie Cai, Kangning Yang, Zhiyuan Li, Florin-Alexandru Vasluianu, Radu Timofte, Jinlong Li, Jinglin Shen, Zibo Meng, Junyan Cao, Lu Zhao, Pengwei Liu, Yuyi Zhang, Fengjun Guo, Jiagao Hu, Zepeng Wang, Fei Wang, Daiguo Zhou, Yi'ang Chen, Honghui Zhu, Mengru Yang, Yan Luo, Kui Jiang, Jin Guo, Jonghyuk Park, Jae-Young Sim, Wei Zhou, Hongyu Huang, Linfeng Li, Lindong Kong, Saiprasad Meesiyawar, Misbha Falak Khanpagadi, Nikhil Akalwadi, Ramesh Ashok Tabib, Uma Mudenagudi, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Kosuke Shigematsu, Hiroto Shirono, Asuka Shin, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Yaokun Shi, Jiachen Tu, Shreeniketh Joshi, Jin-Hui Jiang, Yu-Fan Lin, Yu-Jou Hsiao, Chia-Ming Lee, Fu-En Yang, Yu-Chiang Frank Wang, Chih-Chung Hsu:
NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods. CoRR abs/2604.10321 (2026) - [i121]Yen-Siang Wu, Rundong Luo, Jingsen Zhu, Tao Tu, Ali Farhadi, Matthew Wallingford, Yu-Chiang Frank Wang, Steve Marschner, Wei-Chiu Ma:
Seeing Fast and Slow: Learning the Flow of Time in Videos. CoRR abs/2604.21931 (2026) - [i120]Benedikt Hopf, Radu Timofte, Chenfan Qu, Junchi Li, Fei Wu, Dagong Lu, Mufeng Yao, Xinlei Xu, Fengjun Guo, Yongwei Tang, Zhiqiang Yang, Zhiqiang Wu, Jia Wen Seow, Hong Vin Koay, Haodong Ren, Feng Xu, Shuai Chen, Minh-Khoa Le-Phan, Minh-Hoang Le, Trong-Le Do, Minh-Triet Tran, Chih-Yu Jian, Yi-Fan Wang, Bang-Kang Chen, You-Chen Chao, Chia-Ming Lee, Fu-En Yang, Yu-Chiang Frank Wang, Chih-Chung Hsu, Aashish Negi, Hardik Sharma, Prateek Shaily, Jayant Kumar, Sachin Chaudhary, Akshay Dudhane, Praful Hambarde, Amit Shukla, Jielun Peng, Yabin Wang, Yaqi Li, Jincheng Liu, Xiaopeng Hong, Krish Wadhwani, Liam Fitzpatrick, Utkarsh Tiwari, Bilel Benjdira, Anas M. Ali, Wadii Boulila, Cristian Lazo Quispe, Aishwarya A, Akshara S, Ashwathi N, Jiachen Tu, Guoyi Xu, Yaoxin Jiang, Jiajia Liu, Yaokun Shi:
Robust Deepfake Detection, NTIRE 2026 Challenge: Report. CoRR abs/2604.24163 (2026) - [i119]Minki Kang, Shizhe Diao, Ryo Hachiuma, Sung Ju Hwang, Pavlo Molchanov, Yu-Chiang Frank Wang, Byung-Kwan Lee:
Agent Explorative Policy Optimization for Multimodal Agentic Reasoning. CoRR abs/2605.28774 (2026) - [i118]Cheng Sun, Jaesung Choe, Min-Hung Chen, Ryo Hachiuma, Yu-Chiang Frank Wang:
DVSM: Decoder-only View Synthesis Model Done Right. CoRR abs/2605.29891 (2026) - [i117]Seokju Cho, Ryo Hachiuma, Abhishek Badki, Hang Su, Byung-Kwan Lee, Chan Hee Song, Sifei Liu, Subhashree Radhakrishnan, Seungryong Kim, Yu-Chiang Frank Wang, Min-Hung Chen:
SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning. CoRR abs/2606.13673 (2026) - [i116]Byung-Kwan Lee, Ximing Lu, Shizhe Diao, Minki Kang, Saurav Muralidharan, Karan Sapra, Andrew Tao, Pavlo Molchanov, Yejin Choi, Yu-Chiang Frank Wang, Ryo Hachiuma:
Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients. CoRR abs/2606.18216 (2026) - [i115]Guan-Ting Liu, Chao-Han Huck Yang, Chenhui Deng, Zhongzhi Yu, Brucek Khailany, Yu-Chiang Frank Wang:
How LLMs Fail and Generalize in RTL Coding for Hardware Design? CoRR abs/2606.19347 (2026) - [i114]Szu-Wei Fu, Rong Chao, Xuesong Yang, Sung-Feng Huang, Ante Jukic, Yu Tsao, Yu-Chiang Frank Wang:
One Model, Many Latencies: Universal Speech Enhancement for Diverse Real-Time Applications. CoRR abs/2606.25621 (2026) - [i113]Han-Jun Ko, Jr-Jen Chen, Haobo Yuan, Hsin-Ying Lee, Tiancheng Shen, Ming-Hsuan Yang, Yu-Chiang Frank Wang:
Bridging Physical Reasoning and Task Generalization via Visual Action Outcome Reasoning Alignment. CoRR abs/2607.06522 (2026) - [i112]Chen-Yu Lin, Jing-Wen Chen, Hsueh-En Chang, Hung-An Chen, Sheng-Hsun Chang, Chi-Pin Huang, Fu-En Yang, Min-Hung Chen, Yi-Ting Chen, Yu-Chiang Frank Wang, Shao-Hua Sun:
PhysCaP: Grounding Code-as-Policy Agent with Physics-Informed Exploration. CoRR abs/2608.21031 (2026) - [i111]Yusuke Hirota, Michael Ross Boone, Arun George Zachariah, Jibin Rajan Varghese, Yu-Chiang Frank Wang, Boyi Li, Ryo Hachiuma:
Guardrail-Agnostic Societal Bias Evaluation in Large Vision-Language Models. CoRR abs/2608.29590 (2026) - 2025
- [j30]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 Trans. Multim. 27: 3294-3306 (2025) - [c192]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:
NeKo: Cross-Modality Post-Recognition Error Correction with Tasks-Guided Mixture-of-Experts Language Model. ACL (6) 2025: 222-236 - [c191]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:
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. ACL (6) 2025: 295-309 - [c190]YuJu Cheng, Yu-Chu Yu, Kai-Po Chang, Yu-Chiang Frank Wang:
Serial Lifelong Editing via Mixture of Knowledge Experts. ACL (1) 2025: 30888-30903 - [c189]Miran Heo, Min-Hung Chen, De-An Huang, Sifei Liu, Subhashree Radhakrishnan, Seon Joo Kim, Yu-Chiang Frank Wang, Ryo Hachiuma:
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks. CVPR 2025: 3919-3930 - [c188]Yung-Hsuan Lai, Janek Ebbers, Yu-Chiang Frank Wang, François G. Germain, Michael J. Jones, Moitreya Chatterjee:
UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing. CVPR 2025: 13561-13570 - [c187]Junha Lee, Chunghyun Park, Jaesung Choe, Yu-Chiang Frank Wang, Jan Kautz, Minsu Cho, Christopher B. Choy:
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation. CVPR 2025: 14089-14101 - [c186]Kim Jun-Seong, GeonU Kim, Kim Yu-Ji, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh:
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration. CVPR 2025: 14137-14146 - [c185]Cheng Sun, Jaesung Choe, Charles Loop, Wei-Chiu Ma, Yu-Chiang Frank Wang:
Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering. CVPR 2025: 16187-16196 - [c184]Chi-Pin Huang, Yen-Siang Wu, Hung-Kai Chung, Kai-Po Chang, Fu-En Yang, Yu-Chiang Frank Wang:
VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models. CVPR 2025: 17603-17612 - [c183]Sheng-Yu Huang, Zi-Ting Chou, Yu-Chiang Frank Wang:
3D Gaussian Inpainting with Depth-Guided Cross-View Consistency. CVPR 2025: 26704-26713 - [c182]Wei-En Tai, Yu-Lin Shih, Cheng Sun, Yu-Chiang Frank Wang, Hwann-Tzong Chen:
Segment Anything, Even Occluded. CVPR 2025: 29385-29394 - [c181]Byung-Kwan Lee, Ryo Hachiuma, Yu-Chiang Frank Wang, Yong Man Ro, Yueh-Hua Wu:
VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models. CVPR 2025: 29545-29557 - [c180]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-Yi Lee:
Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. ICASSP 2025: 1-5 - [c179]Yen-Siang Wu, Chi-Pin Huang, Fu-En Yang, Yu-Chiang Frank Wang:
MotionMatcher: Cinematic Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching. ICCVW 2025: 7050-7060 - [c178]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:
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation. ICCV 2025: 8634-8644 - [c177]Yu-Chien Liao, Jr-Jen Chen, Chi-Pin Huang, Ci-Siang Lin, Meng-Lin Wu, Yu-Chiang Frank Wang:
Continual Personalization for Diffusion Models. ICCV 2025: 15511-15520 - [c176]Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma:
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP. ICLR 2025 - [c175]Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R. Glass, Rafael Valle, Bryan Catanzaro:
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. ICLR 2025 - [c174]Rong Chao, Rauf Nasretdinov, Yu-Chiang Frank Wang, Ante Jukic, Szu-Wei Fu, Yu Tsao:
Universal Speech Enhancement with Regression and Generative Mamba. INTERSPEECH 2025 - [c173]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:
VoiceNoNG: Robust High-Quality Speech Editing Model without Hallucinations. INTERSPEECH 2025 - [c172]Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen, Yu-Chiang Frank Wang, Fu-En Yang:
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning. NeurIPS 2025 - [c171]Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu:
Unified Reinforcement and Imitation Learning for Vision-Language Models. NeurIPS 2025 - [c170]Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang, Yu-Chiang Frank Wang:
EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction. NeurIPS 2025 - [c169]Tung-Yu Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang:
Data-Efficient 3D Visual Grounding via Order-Aware Referring. WACV 2025: 3107-3117 - [c168]Ci-Siang Lin, Chien-Yi Wang, Yu-Chiang Frank Wang, Min-Hung Chen:
Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation. WACV 2025: 8764-8774 - [i110]Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Chao-Han Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-yi Lee, Szu-Wei Fu:
Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. CoRR abs/2501.03805 (2025) - [i109]Miran Heo, Min-Hung Chen, De-An Huang, Sifei Liu, Subhashree Radhakrishnan, Seon Joo Kim, Yu-Chiang Frank Wang, Ryo Hachiuma:
Omni-RGPT: Unifying Image and Video Region-level Understanding via Token Marks. CoRR abs/2501.08326 (2025) - [i108]Yu-Chu Yu, Chieh Hubert Lin, Hsin-Ying Lee, Chaoyang Wang, Yu-Chiang Frank Wang, Ming-Hsuan Yang:
Towards Affordance-Aware Articulation Synthesis for Rigged Objects. CoRR abs/2501.12393 (2025) - [i107]Junha Lee, Chunghyun Park, Jaesung Choe, Yu-Chiang Frank Wang, Jan Kautz, Minsu Cho, Christopher B. Choy:
Mosaic3D: Foundation Dataset and Model for Open-Vocabulary 3D Segmentation. CoRR abs/2502.02548 (2025) - [i106]Hsu-Kuang Chiu, Ryo Hachiuma, Chien-Yi Wang, Stephen F. Smith, Yu-Chiang Frank Wang, Min-Hung Chen:
V2V-LLM: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multi-Modal Large Language Models. CoRR abs/2502.09980 (2025) - [i105]Sheng-Yu Huang, Zi-Ting Chou, Yu-Chiang Frank Wang:
3D Gaussian Inpainting with Depth-Guided Cross-View Consistency. CoRR abs/2502.11801 (2025) - [i104]Yen-Siang Wu, Chi-Pin Huang, Fu-En Yang, Yu-Chiang Frank Wang:
MotionMatcher: Motion Customization of Text-to-Video Diffusion Models via Motion Feature Matching. CoRR abs/2502.13234 (2025) - [i103]Kim Jun-Seong, GeonU Kim, Kim Yu-Ji, Yu-Chiang Frank Wang, Jaesung Choe, Tae-Hyun Oh:
Dr. Splat: Directly Referring 3D Gaussian Splatting via Direct Language Embedding Registration. CoRR abs/2502.16652 (2025) - [i102]Kuang-Da Wang, Teng-Ruei Chen, Yu-Heng Hung, Shuoyang Ding, Yueh-Hua Wu, Yu-Chiang Frank Wang, Chao-Han Huck Yang, Wen-Chih Peng, Ping-Chun Hsieh:
Plan2Align: Predictive Planning Based Test-Time Preference Alignment in Paragraph-Level Machine Translation. CoRR abs/2502.20795 (2025) - [i101]Alexander H. Liu, Sang-gil Lee, Chao-Han Huck Yang, Yuan Gong, Yu-Chiang Frank Wang, James R. Glass, Rafael Valle, Bryan Catanzaro:
UniWav: Towards Unified Pre-training for Speech Representation Learning and Generation. CoRR abs/2503.00733 (2025) - [i100]Wei-En Tai, Yu-Lin Shih, Cheng Sun, Yu-Chiang Frank Wang, Hwann-Tzong Chen:
Segment Anything, Even Occluded. CoRR abs/2503.06261 (2025) - [i99]Chi-Pin Huang, Yen-Siang Wu, Hung-Kai Chung, Kai-Po Chang, Fu-En Yang, Yu-Chiang Frank Wang:
VideoMage: Multi-Subject and Motion Customization of Text-to-Video Diffusion Models. CoRR abs/2503.21781 (2025) - [i98]Yung-Hsuan Lai, Janek Ebbers, Yu-Chiang Frank Wang, François G. Germain, Michael J. Jones, Moitreya Chatterjee:
UWAV: Uncertainty-weighted Weakly-supervised Audio-Visual Video Parsing. CoRR abs/2505.09615 (2025) - [i97]Rong Chao, Rauf Nasretdinov, Yu-Chiang Frank Wang, Ante Jukic, Szu-Wei Fu, Yu Tsao:
Universal Speech Enhancement with Regression and Generative Mamba. CoRR abs/2505.21198 (2025) - [i96]Yu-Lin Shih, Wei-En Tai, Cheng Sun, Yu-Chiang Frank Wang, Hwann-Tzong Chen:
R2SM: Referring and Reasoning for Selective Masks. CoRR abs/2506.01795 (2025) - [i95]Hsi-Che Lin, Yu-Chu Yu, Kai-Po Chang, Yu-Chiang Frank Wang:
EMLoC: Emulator-based Memory-efficient Fine-tuning with LoRA Correction. CoRR abs/2506.12015 (2025) - [i94]Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu:
GenRecal: Generation after Recalibration from Large to Small Vision-Language Models. CoRR abs/2506.15681 (2025) - [i93]Shih-Wen Liu, Hsuan-Yu Fan, Wei-Ta Chu, Fu-En Yang, Yu-Chiang Frank Wang:
Histopathology Image Report Generation by Vision Language Model with Multimodal In-Context Learning. CoRR abs/2506.17645 (2025) - [i92]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Sung-Feng Huang, Chih-Kai Yang, Chee-En Yu, Chun-Wei Chen, Wei-Chih Chen, Chien-yu Huang, Yi-Cheng Lin, Yu-Xiang Lin, Chi-An Fu, Chun-Yi Kuan, Wenze Ren, Xuanjun Chen, Wei-Ping Huang, En-Pei Hu, Tzu-Quan Lin, Yuan-Kuei Wu, Kuan-Po Huang, Hsiao-Ying Huang, Huang-Cheng Chou, Kai-Wei Chang, Cheng-Han Chiang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
DeSTA2.5-Audio: Toward General-Purpose Large Audio Language Model with Self-Generated Cross-Modal Alignment. CoRR abs/2507.02768 (2025) - [i91]Chi-Pin Huang, Yueh-Hua Wu, Min-Hung Chen, Yu-Chiang Frank Wang, Fu-En Yang:
ThinkAct: Vision-Language-Action Reasoning via Reinforced Visual Latent Planning. CoRR abs/2507.16815 (2025) - [i90]Yusuke Hirota, Boyi Li, Ryo Hachiuma, Yueh-Hua Wu, Boris Ivanovic, Yuta Nakashima, Marco Pavone, Yejin Choi, Yu-Chiang Frank Wang, Chao-Han Huck Yang:
LOTUS: A Leaderboard for Detailed Image Captioning from Quality to Societal Bias and User Preferences. CoRR abs/2507.19362 (2025) - [i89]Hung-Chun Hsu, Yuan-Ching Kuo, Chao-Han Huck Yang, Szu-Wei Fu, Hanrong Ye, Hongxu Yin, Yu-Chiang Frank Wang, Ming-Feng Tsai, Chuan-Ju Wang:
Test-Time Scaling Strategies for Generative Retrieval in Multimodal Conversational Recommendations. CoRR abs/2508.18132 (2025) - [i88]Miran Heo, Sukjun Hwang, Min-Hung Chen, Yu-Chiang Frank Wang, Albert Gu, Seon Joo Kim, Ryo Hachiuma:
Autoregressive Universal Video Segmentation Model. CoRR abs/2508.19242 (2025) - [i87]Yusuke Hirota, Ryo Hachiuma, Boyi Li, Ximing Lu, Michael Ross Boone, Boris Ivanovic, Yejin Choi, Marco Pavone, Yu-Chiang Wang, Noa Garcia, Yuta Nakashima, Chao-Han Huck Yang:
Bias in Gender Bias Benchmarks: How Spurious Features Distort Evaluation. CoRR abs/2509.07596 (2025) - [i86]Hsu-Kuang Chiu, Ryo Hachiuma, Chien-Yi Wang, Yu-Chiang Frank Wang, Min-Hung Chen, Stephen F. Smith:
V2V-GoT: Vehicle-to-Vehicle Cooperative Autonomous Driving with Multimodal Large Language Models and Graph-of-Thoughts. CoRR abs/2509.18053 (2025) - [i85]Yu-Chien Liao, Jr-Jen Chen, Chi-Pin Huang, Ci-Siang Lin, Meng-Lin Wu, Yu-Chiang Frank Wang:
Continual Personalization for Diffusion Models. CoRR abs/2510.02296 (2025) - [i84]Ci-Siang Lin, Min-Hung Chen, Yu-Yang Sheng, Yu-Chiang Frank Wang:
LEAML: Label-Efficient Adaptation to Out-of-Distribution Visual Tasks for Multimodal Large Language Models. CoRR abs/2510.03232 (2025) - [i83]Ci-Siang Lin, Min-Hung Chen, I-Jieh Liu, Chien-Yi Wang, Sifei Liu, Yu-Chiang Frank Wang:
Temporal Prompting Matters: Rethinking Referring Video Object Segmentation. CoRR abs/2510.07319 (2025) - [i82]Shih-Yang Liu, Xin Dong, Ximing Lu, Shizhe Diao, Mingjie Liu, Min-Hung Chen, Hongxu Yin, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Yejin Choi, Jan Kautz, Pavlo Molchanov:
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning. CoRR abs/2510.15110 (2025) - [i81]Hanrong Ye, Chao-Han Huck Yang, Arushi Goel, Wei Huang, Ligeng Zhu, Yuanhang Su, Sean Lin, An-Chieh Cheng, Zhen Wan, Jinchuan Tian, Yuming Lou, Dong Yang, Zhijian Liu, Yukang Chen, Ambrish Dantrey, Ehsan Jahangiri, Sreyan Ghosh, Daguang Xu, Ehsan Hosseini-Asl, Danial Mohseni-Taheri, Vidya Nariyambut Murali, Sifei Liu, Yao Lu, Oluwatobi Olabiyi, Yu-Chiang Frank Wang, Rafael Valle, Bryan Catanzaro, Andrew Tao, Song Han, Jan Kautz, Hongxu Yin, Pavlo Molchanov:
OmniVinci: Enhancing Architecture and Data for Omni-Modal Understanding LLM. CoRR abs/2510.15870 (2025) - [i80]Bo-Han Feng, Chien-Feng Liu, Yu-Hsuan Li Liang, Chih-Kai Yang, Szu-Wei Fu, Zhehuai Chen, Ke-Han Lu, Sung-Feng Huang, Chao-Han Huck Yang, Yu-Chiang Frank Wang, Yun-Nung Chen, Hung-yi Lee:
Investigating Safety Vulnerabilities of Large Audio-Language Models Under Speaker Emotional Variations. CoRR abs/2510.16893 (2025) - [i79]Chih-Kai Yang, Yen-Ting Piao, Tzu-Wen Hsu, Szu-Wei Fu, Zhehuai Chen, Ke-Han Lu, Sung-Feng Huang, Chao-Han Huck Yang, Yu-Chiang Frank Wang, Yun-Nung Chen, Hung-yi Lee:
SAKE: Towards Editing Auditory Attribute Knowledge of Large Audio-Language Models. CoRR abs/2510.16917 (2025) - [i78]Byung-Kwan Lee, Ryo Hachiuma, Yong Man Ro, Yu-Chiang Frank Wang, Yueh-Hua Wu:
Unified Reinforcement and Imitation Learning for Vision-Language Models. CoRR abs/2510.19307 (2025) - [i77]Seunghun Oh, Jaesung Choe, Dongjae Lee, Daeun Lee, Seunghoon Jeong, Yu-Chiang Frank Wang, Jaesik Park:
SVRecon: Sparse Voxel Rasterization for Surface Reconstruction. CoRR abs/2511.17364 (2025) - [i76]Kai-Po Chang, Wei-Yuan Cheng, Chi-Pin Huang, Fu-En Yang, Yu-Chiang Frank Wang:
Mitigating Object and Action Hallucinations in Multimodal LLMs via Self-Augmented Contrastive Alignment. CoRR abs/2512.04356 (2025) - [i75]Chang-Hsun Wu, Kai-Po Chang, Yu-Yang Sheng, Hung-Kai Chung, Kuei-Chun Wang, Yu-Chiang Frank Wang:
SEASON: Mitigating Temporal Hallucination in Video Large Language Models via Self-Diagnostic Contrastive Decoding. CoRR abs/2512.04643 (2025) - [i74]Xiaoqian Shen, Min-Hung Chen, Yu-Chiang Frank Wang, Mohamed Elhoseiny, Ryo Hachiuma:
Zoom-Zero: Reinforced Coarse-to-Fine Video Understanding via Temporal Zoom-in. CoRR abs/2512.14273 (2025) - [i73]Chiao-An Yang, Ryo Hachiuma, Sifei Liu, Subhashree Radhakrishnan, Raymond A. Yeh, Yu-Chiang Frank Wang, Min-Hung Chen:
4D-RGPT: Toward Region-level 4D Understanding via Perceptual Distillation. CoRR abs/2512.17012 (2025) - [i72]Yoonwoo Jeong, Cheng Sun, Yu-Chiang Frank Wang, Minsu Cho, Jaesung Choe:
Quantile Rendering: Efficiently Embedding High-dimensional Feature on 3D Gaussian Splatting. CoRR abs/2512.20927 (2025) - [i71]Byung-Kwan Lee, Yu-Chiang Frank Wang, Ryo Hachiuma:
Masking Teacher and Reinforcing Student for Distilling Vision-Language Models. CoRR abs/2512.22238 (2025) - 2024
- [c167]I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Language-Guided Transformer for Federated Multi-Label Classification. AAAI 2024: 13882-13890 - [c166]Cheng Sun, Wei-En Tai, Yu-Lin Shih, Kuan-Wei Chen, Yong-Jing Syu, Kent Selwyn The, Yu-Chiang Frank Wang, Hwann-Tzong Chen:
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction. CVPR 2024: 10435-10445 - [c165]Zi-Ting Chou, Sheng-Yu Huang, I-Jieh Liu, Yu-Chiang Frank Wang:
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding. CVPR 2024: 20806-20815 - [c164]Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen, Kai-Po Chang, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang:
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models. ECCV (26) 2024: 219-236 - [c163]Yi-Chia Chen, Wei-Hua Li, Cheng Sun, Yu-Chiang Frank Wang, Chu-Song Chen:
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation. ECCV (81) 2024: 323-340 - [c162]Chi-Pin Huang, Kai-Po Chang, Chung-Ting Tsai, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang:
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers. ECCV (40) 2024: 360-376 - [c161]Bin-Shih Wu, Hong-En Chen, Sheng-Yu Huang, Yu-Chiang Frank Wang:
TPA3D: Triplane Attention for Fast Text-to-3D Generation. ECCV (18) 2024: 438-455 - [c160]Wei-Yang Lin, Yu-Chiang Frank Wang, Li Su:
Enhancing Violin Fingering Generation through Audio-Symbolic Fusion. ICASSP 2024: 811-815 - [c159]Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng, Fu-En Yang, Chien-Yi Wang, Yung-Hsuan Lai, Yu-Chiang Frank Wang:
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering. ICLR 2024 - [c158]Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang:
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. ICLR 2024 - [c157]Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen:
DoRA: Weight-Decomposed Low-Rank Adaptation. ICML 2024: 32100-32121 - [c156]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. INTERSPEECH 2024 - [c155]Jr-Jen Chen, Yu-Chien Liao, Hsi-Che Lin, Yu-Chu Yu, Yen-Chun Chen, Yu-Chiang Frank Wang:
ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos. NeurIPS 2024 - [c154]Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun:
Diffusion-Reward Adversarial Imitation Learning. NeurIPS 2024 - [c153]Sung-Feng Huang, Heng-Cheng Kuo, Zhehuai Chen, Xuesong Yang, Chao-Han Huck Yang, Yu Tsao, Yu-Chiang Frank Wang, Hung-Yi Lee, Szu-Wei Fu:
Detecting the Undetectable: Assessing the Efficacy of Current Spoof Detection Methods Against Seamless Speech Edits. SLT 2024: 652-659 - [i70]Ci-Siang Lin, Chien-Yi Wang, Yu-Chiang Frank Wang, Min-Hung Chen:
SemPLeS: Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation. CoRR abs/2401.11791 (2024) - [i69]Shih-Yang Liu, Chien-Yi Wang, Hongxu Yin, Pavlo Molchanov, Yu-Chiang Frank Wang, Kwang-Ting Cheng, Min-Hung Chen:
DoRA: Weight-Decomposed Low-Rank Adaptation. CoRR abs/2402.09353 (2024) - [i68]Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao, Yu-Chiang Frank Wang:
Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech. CoRR abs/2402.16321 (2024) - [i67]Zi-Ting Chou, Sheng-Yu Huang, I-Jieh Liu, Yu-Chiang Frank Wang:
GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding. CoRR abs/2403.03608 (2024) - [i66]Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen, Kai-Po Chang, Yung-Hsuan Lai, Fu-En Yang, Yu-Chiang Frank Wang:
Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models. CoRR abs/2403.09296 (2024) - [i65]Tung-Yu Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang:
DOrA: 3D Visual Grounding with Order-Aware Referring. CoRR abs/2403.16539 (2024) - [i64]Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Frank Wang, Min-Hung Chen, Shao-Hua Sun:
Diffusion-Reward Adversarial Imitation Learning. CoRR abs/2405.16194 (2024) - [i63]Ci-Siang Lin, I-Jieh Liu, Min-Hung Chen, Chien-Yi Wang, Sifei Liu, Yu-Chiang Frank Wang:
GroPrompt: Efficient Grounded Prompting and Adaptation for Referring Video Object Segmentation. CoRR abs/2406.12834 (2024) - [i62]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, He Huang, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
DeSTA: Enhancing Speech Language Models through Descriptive Speech-Text Alignment. CoRR abs/2406.18871 (2024) - [i61]Jr-Jen Chen, Yu-Chien Liao, Hsi-Che Lin, Yu-Chu Yu, Yen-Chun Chen, Yu-Chiang Frank Wang:
ReXTime: A Benchmark Suite for Reasoning-Across-Time in Videos. CoRR abs/2406.19392 (2024) - [i60]Ding-Jiun Huang, Zi-Ting Chou, Yu-Chiang Frank Wang, Cheng Sun:
ASSR-NeRF: Arbitrary-Scale Super-Resolution on Voxel Grid for High-Quality Radiance Fields Reconstruction. CoRR abs/2406.20066 (2024) - [i59]Yusuke Hirota, Min-Hung Chen, Chien-Yi Wang, Yuta Nakashima, Yu-Chiang Frank Wang, Ryo Hachiuma:
SANER: Annotation-free Societal Attribute Neutralizer for Debiasing CLIP. CoRR abs/2408.10202 (2024) - [i58]Yi-Chia Chen, Wei-Hua Li, Cheng Sun, Yu-Chiang Frank Wang, Chu-Song Chen:
SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation. CoRR abs/2409.10542 (2024) - [i57]Ke-Han Lu, Zhehuai Chen, Szu-Wei Fu, Chao-Han Huck Yang, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang, Hung-yi Lee:
Developing Instruction-Following Speech Language Model Without Speech Instruction-Tuning Data. CoRR abs/2409.20007 (2024) - [i56]Shih-Yang Liu, Huck Yang, Chein-Yi Wang, Nai Chit Fung, Hongxu Yin, Charbel Sakr, Saurav Muralidharan, Kwang-Ting Cheng, Jan Kautz, Yu-Chiang Frank Wang, Pavlo Molchanov, Min-Hung Chen:
EoRA: Training-free Compensation for Compressed LLM with Eigenspace Low-Rank Approximation. CoRR abs/2410.21271 (2024) - [i55]Yen-Ting Lin, Chao-Han Huck Yang, Zhehuai Chen, Piotr Zelasko, Xuesong Yang, Zih-Ching Chen, Krishna C. Puvvada, Szu-Wei Fu, Ke Hu, Jun Wei Chiu, Jagadeesh Balam, Boris Ginsburg, Yu-Chiang Frank Wang:
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Experts. CoRR abs/2411.05945 (2024) - [i54]Chia-Ming Lee, Ching-Heng Cheng, Yu-Fan Lin, Yi-Ching Cheng, Wo-Ting Liao, Chih-Chung Hsu, Fu-En Yang, Yu-Chiang Frank Wang:
PromptHSI: Universal Hyperspectral Image Restoration Framework for Composite Degradation. CoRR abs/2411.15922 (2024) - [i53]Chung-Ting Tsai, Ching-Yun Ko, I-Hsin Chung, Yu-Chiang Frank Wang, Pin-Yu Chen:
Understanding and Improving Training-Free AI-Generated Image Detections with Vision Foundation Models. CoRR abs/2411.19117 (2024) - [i52]Byung-Kwan Lee, Ryo Hachiuma, Yu-Chiang Frank Wang, Yong Man Ro, Yueh-Hua Wu:
VLsI: Verbalized Layers-to-Interactions from Large to Small Vision Language Models. CoRR abs/2412.01822 (2024) - [i51]Cheng Sun, Jaesung Choe, Charles Loop, Wei-Chiu Ma, Yu-Chiang Frank Wang:
Sparse Voxels Rasterization: Real-time High-fidelity Radiance Field Rendering. CoRR abs/2412.04459 (2024) - [i50]Yu-Hsiang Huang, Wei Wang, Sheng-Yu Huang, Yu-Chiang Frank Wang:
Toward Scene Graph and Layout Guided Complex 3D Scene Generation. CoRR abs/2412.20473 (2024) - 2023
- [j29]Fu-En Yang, Yuan-Hao Lee, Chia-Ching Lin, Yu-Chiang Frank Wang:
Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning. Int. J. Comput. Vis. 131(6): 1331-1345 (2023) - [j28]Ci-Siang Lin, Yu-Chiang Frank Wang:
Describe, Spot and Explain: Interpretable Representation Learning for Discriminative Visual Reasoning. IEEE Trans. Image Process. 32: 2481-2492 (2023) - [c152]Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. AAAI 2023: 579-587 - [c151]Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang:
Target-Free Text-Guided Image Manipulation. AAAI 2023: 588-596 - [c150]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:
TSRFormer: Transformer Based Two-stage Refinement for Single Image Shadow Removal. CVPR Workshops 2023: 1436-1446 - [c149]Yuan-Yi Xu, Ci-Siang Lin, Yu-Chiang Frank Wang:
Bias-Eliminating Augmentation Learning for Debiased Federated Learning. CVPR 2023: 20442-20452 - [c148]Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang:
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. EMNLP 2023: 1203-1217 - [c147]Yu-Hsuan Chen, Fu-Cheng Pan, Yu-Chien Liao, Jao-Hong Kao, Yu-Chiang Frank Wang:
Semantics-Aware Gamma Correction for Unsupervised Low-Light Image Enhancement. ICASSP 2023: 1-5 - [c146]Fu-En Yang, Chien-Yi Wang, Yu-Chiang Frank Wang:
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation. ICCV 2023: 19102-19111 - [c145]Ci-Siang Lin, Min-Hung Chen, Yu-Chiang Frank Wang:
Frequency-Aware Self-Supervised Long-Tailed Learning. ICCV (Workshops) 2023: 963-972 - [c144]Chiao-An Yang, Meng-Lin Wu, Raymond A. Yeh, Yu-Chiang Frank Wang:
Consistent and Multi-Scale Scene Graph Transformer for Semantic-Guided Image Outpainting. ICIP 2023: 176-180 - [c143]Yu-Shan Huang, Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang:
Interpreting Latent Representation in Neural Radiance Fields for Manipulating Object Semantics. ICIP 2023: 470-474 - [c142]Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Yu-Chiang Frank Wang:
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond. WACV 2023: 2695-2704 - [i49]Yuan-Chia Cheng, Zu-Yun Shiau, Fu-En Yang, Yu-Chiang Frank Wang:
TAX: Tendency-and-Assignment Explainer for Semantic Segmentation with Multi-Annotators. CoRR abs/2302.09561 (2023) - [i48]Yung-Hsuan Lai, Yen-Chun Chen, Yu-Chiang Frank Wang:
Modality-Independent Teachers Meet Weakly-Supervised Audio-Visual Event Parser. CoRR abs/2305.17343 (2023) - [i47]Hsi-Che Lin, Chien-Yi Wang, Min-Hung Chen, Szu-Wei Fu, Yu-Chiang Frank Wang:
QuAVF: Quality-aware Audio-Visual Fusion for Ego4D Talking to Me Challenge. CoRR abs/2306.17404 (2023) - [i46]Chia-Hsiang Kao, Yu-Chiang Frank Wang:
FedBug: A Bottom-Up Gradual Unfreezing Framework for Federated Learning. CoRR abs/2307.10317 (2023) - [i45]Fu-En Yang, Chien-Yi Wang, Yu-Chiang Frank Wang:
Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation. CoRR abs/2308.15367 (2023) - [i44]Ci-Siang Lin, Min-Hung Chen, Yu-Chiang Frank Wang:
Frequency-Aware Self-Supervised Long-Tailed Learning. CoRR abs/2309.04723 (2023) - [i43]Cheng-Fu Yang, Yen-Chun Chen, Jianwei Yang, Xiyang Dai, Lu Yuan, Yu-Chiang Frank Wang, Kai-Wei Chang:
LACMA: Language-Aligning Contrastive Learning with Meta-Actions for Embodied Instruction Following. CoRR abs/2310.12344 (2023) - [i42]Chi-Pin Huang, Kai-Po Chang, Chung-Ting Tsai, Yung-Hsuan Lai, Yu-Chiang Frank Wang:
Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers. CoRR abs/2311.17717 (2023) - [i41]Cheng Sun, Wei-En Tai, Yu-Lin Shih, Kuan-Wei Chen, Yong-Jing Syu, Kent Selwyn The, Yu-Chiang Frank Wang, Hwann-Tzong Chen:
Seg2Reg: Differentiable 2D Segmentation to 1D Regression Rendering for 360 Room Layout Reconstruction. CoRR abs/2311.18695 (2023) - [i40]Hong-En Chen, Bin-Shih Wu, Sheng-Yu Huang, Yu-Chiang Frank Wang:
TPA3D: Triplane Attention for Fast Text-to-3D Generation. CoRR abs/2312.02647 (2023) - [i39]I-Jieh Liu, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Language-Guided Transformer for Federated Multi-Label Classification. CoRR abs/2312.07165 (2023) - 2022
- [j27]Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang:
Learning of 3D Graph Convolution Networks for Point Cloud Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(8): 4212-4224 (2022) - [c141]Chih-Chun Yang, Wan-Cyuan Fan, Cheng-Fu Yang, Yu-Chiang Frank Wang:
Cross-Modal Mutual Learning for Audio-Visual Speech Recognition and Manipulation. AAAI 2022: 3036-3044 - [c140]Chiao-An Yang, Cheng-Yo Tan, Wan-Cyuan Fan, Cheng-Fu Yang, Meng-Lin Wu, Yu-Chiang Frank Wang:
Scene Graph Expansion for Semantics-Guided Image Outpainting. CVPR 2022: 15596-15605 - [c139]Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang:
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. CVPR 2022: 15681-15691 - [c138]Wei-Yu Lee, Jheng-Yu Wang, Yu-Chiang Frank Wang:
Domain-Agnostic Meta-Learning for Cross-Domain Few-Shot Classification. ICASSP 2022: 1715-1719 - [c137]Yuan-Yi Xu, Yan-Yang Ji, Sheng-Yu Huang, Zhi-Hao Lin, Yu-Chiang Frank Wang:
3D-Selfcutmix: Self-Supervised Learning for 3D Point Cloud Analysis. ICIP 2022: 676-680 - [c136]Shang-Fu Chen, Yu-Min Liu, Chia-Ching Lin, Trista Pei-Chun Chen, Yu-Chiang Frank Wang:
Domain-Generalized Textured Surface Anomaly Detection. ICME 2022: 1-6 - [c135]Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu, Shang-Fu Chen, Yu-Chiang Frank Wang:
Learning Facial Liveness Representation for Domain Generalized Face Anti-Spoofing. ICME 2022: 1-6 - [c134]Sheng-Yu Huang, Hao-Yu Hsu, Yu-Chiang Frank Wang:
SPoVT: Semantic-Prototype Variational Transformer for Dense Point Cloud Semantic Completion. NeurIPS 2022 - [c133]Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang:
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation. WACV 2022: 1607-1617 - [i38]Shang-Fu Chen, Yu-Min Liu, Chia-Ching Lin, Trista Pei-Chun Chen, Yu-Chiang Frank Wang:
Domain-Generalized Textured Surface Anomaly Detection. CoRR abs/2203.12304 (2022) - [i37]Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang:
NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. CoRR abs/2204.13696 (2022) - [i36]Chiao-An Yang, Cheng-Yo Tan, Wan-Cyuan Fan, Cheng-Fu Yang, Meng-Lin Wu, Yu-Chiang Frank Wang:
Scene Graph Expansion for Semantics-Guided Image Outpainting. CoRR abs/2205.02958 (2022) - [i35]Zih-Ching Chen, Lin-Hsi Tsao, Chin-Lun Fu, Shang-Fu Chen, Yu-Chiang Frank Wang:
Learning Facial Liveness Representation for Domain Generalized Face Anti-spoofing. CoRR abs/2208.07828 (2022) - [i34]Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang:
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis. CoRR abs/2208.13753 (2022) - [i33]Cheng-Yen Hsieh, Chih-Jung Chang, Fu-En Yang, Yu-Chiang Frank Wang:
Self-Supervised Pyramid Representation Learning for Multi-Label Visual Analysis and Beyond. CoRR abs/2208.14439 (2022) - [i32]Cheng-Fu Yang, Yao-Hung Hubert Tsai, Wan-Cyuan Fan, Ruslan Salakhutdinov, Louis-Philippe Morency, Yu-Chiang Frank Wang:
Paraphrasing Is All You Need for Novel Object Captioning. CoRR abs/2209.12343 (2022) - [i31]Wan-Cyuan Fan, Cheng-Fu Yang, Chiao-An Yang, Yu-Chiang Frank Wang:
Target-Free Text-guided Image Manipulation. CoRR abs/2211.14544 (2022) - 2021
- [j26]Chia-Ching Lin, Hsin-Li Chu, Yu-Chiang Frank Wang, Chin-Laung Lei:
Joint Feature Disentanglement and Hallucination for Few-Shot Image Classification. IEEE Trans. Image Process. 30: 9245-9258 (2021) - [c132]Yan-Bo Lin, Yu-Chiang Frank Wang:
Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation. AAAI 2021: 2056-2063 - [c131]Cheng-Fu Yang, Wan-Cyuan Fan, Fu-En Yang, Yu-Chiang Frank Wang:
LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity. CVPR 2021: 3732-3741 - [c130]Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains. ICIP 2021: 434-438 - [c129]Cheng-Yo Tan, Chiao-An Yang, Shang-Fu Chen, Meng-Lin Wu, Yu-Chiang Frank Wang:
Robust Image Outpainting With Learnable Image Margins. ICIP 2021: 1159-1163 - [c128]Shang-Fu Chen, Jia-Wei Yan, Ya-Fan Su, Yu-Chiang Frank Wang:
Representation Decomposition For Image Manipulation And Beyond. ICIP 2021: 1169-1173 - [c127]Zu-Yun Shiau, Weiwei Lin, Ci-Siang Lin, Yu-Chiang Frank Wang:
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation. ICIP 2021: 2244-2248 - [c126]Ci-Siang Lin, Yu-Chiang Frank Wang:
Self-Supervised Bodymap-to-Appearance Co-Attention for Partial Person Re-Identification. ICIP 2021: 2299-2303 - [c125]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:
Leveraging Auxiliary Information from EMR for Weakly Supervised Pulmonary Nodule Detection. MICCAI (7) 2021: 251-261 - [c124]Fu-En Yang, Yuan-Chia Cheng, Zu-Yun Shiau, Yu-Chiang Frank Wang:
Adversarial Teacher-Student Representation Learning for Domain Generalization. NeurIPS 2021: 19448-19460 - [i30]Fu-En Yang, Jing-Cheng Chang, Yuan-Hao Lee, Yu-Chiang Frank Wang:
Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis. CoRR abs/2102.13329 (2021) - [i29]Yan-Bo Lin, Yu-Chiang Frank Wang:
Exploiting Audio-Visual Consistency with Partial Supervision for Spatial Audio Generation. CoRR abs/2105.00708 (2021) - [i28]Yuan-Hao Lee, Fu-En Yang, Yu-Chiang Frank Wang:
A Pixel-Level Meta-Learner for Weakly Supervised Few-Shot Semantic Segmentation. CoRR abs/2111.01418 (2021) - [i27]Zu-Yun Shiau, Wei-Wei Lin, Ci-Siang Lin, Yu-Chiang Frank Wang:
Meta-Learned Feature Critics for Domain Generalized Semantic Segmentation. CoRR abs/2112.13538 (2021) - [i26]Yuan-Chia Cheng, Ci-Siang Lin, Fu-En Yang, Yu-Chiang Frank Wang:
Few-Shot Classification in Unseen Domains by Episodic Meta-Learning Across Visual Domains. CoRR abs/2112.13539 (2021) - 2020
- [j25]Yu-Ying Yeh, Yen-Cheng Liu, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Static2Dynamic: Video Inference From a Deep Glimpse. IEEE Trans. Emerg. Top. Comput. Intell. 4(4): 440-449 (2020) - [j24]Fu-En Yang, Jing-Cheng Chang, Chung-Chi Tsai, Yu-Chiang Frank Wang:
A Multi-Domain and Multi-Modal Representation Disentangler for Cross-Domain Image Manipulation and Classification. IEEE Trans. Image Process. 29: 2795-2807 (2020) - [c123]Yan-Bo Lin, Yu-Chiang Frank Wang:
Audiovisual Transformer with Instance Attention for Audio-Visual Event Localization. ACCV (6) 2020: 274-290 - [c122]Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang:
Transforming Multi-concept Attention into Video Summarization. ACCV (5) 2020: 498-513 - [c121]Pei-Tse Yang, Feng-Guang Su, Yu-Chiang Frank Wang:
Diverse Audio-to-Image Generation via Semantics and Feature Consistency. APSIPA 2020: 1188-1192 - [c120]Zhi-Hao Lin, Sheng-Yu Huang, Yu-Chiang Frank Wang:
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis. CVPR 2020: 1797-1806 - [c119]Po-Hsiang Huang, Fu-En Yang, Yu-Chiang Frank Wang:
Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment. CVPR 2020: 7082-7090 - [c118]Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang:
Learning to Learn in a Semi-supervised Fashion. ECCV (18) 2020: 460-478 - [c117]Cheng-Yu Fan, Chao-Peng Liu, Kuan-Chun Wang, Jiun-Hao Jhan, Yu-Chiang Frank Wang, Jun-Cheng Chen:
Face Feature Recovery via Temporal Fusion for Person Search. ICASSP 2020: 1893-1897 - [c116]Chun-Hao Chao, Pin-Lun Hsu, Hung-Yi Lee, Yu-Chiang Frank Wang:
Self-Supervised Deep Learning for Fisheye Image Rectification. ICASSP 2020: 2248-2252 - [c115]Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang:
Wavelet Channel Attention Module With A Fusion Network For Single Image Deraining. ICIP 2020: 883-887 - [c114]Wei-Yu Lee, Yu-Chiang Frank Wang:
Learning Disentangled Feature Representations For Anomaly Detection. ICIP 2020: 2156-2160 - [c113]Chih-Wei Wu, Chih-Ting Liu, Wei-Chih Tu, Yu Tsao, Yu-Chiang Frank Wang, Shao-Yi Chien:
Space-Time Guided Association Learning For Unsupervised Person Re-Identification. ICIP 2020: 2261-2265 - [c112]Ci-Siang Lin, Yuan-Chia Cheng, Yu-Chiang Frank Wang:
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning. ICPR 2020: 6758-6763 - [c111]Fu-En Yang, Jing-Cheng Chang, Yuan-Hao Lee, Yu-Chiang Frank Wang:
Dual-MTGAN: Stochastic and Deterministic Motion Transfer for Image-to-Video Synthesis. ICPR 2020: 6764-6771 - [c110]Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang, Yu-Jhe Li, Yu-Chiang Frank Wang:
Semantics-Guided Representation Learning with Applications to Visual Synthesis. ICPR 2020: 7181-7187 - [c109]Feng-Guang Su, Ci-Siang Lin, Yu-Chiang Frank Wang:
Learning Interpretable Representation for 3D Point Clouds. ICPR 2020: 7470-7477 - [i25]Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Yu-Chiang Frank Wang:
Cross-Resolution Adversarial Dual Network for Person Re-Identification and Beyond. CoRR abs/2002.09274 (2020) - [i24]Yen-Ting Liu, Yu-Jhe Li, Yu-Chiang Frank Wang:
Transforming Multi-Concept Attention into Video Summarization. CoRR abs/2006.01410 (2020) - [i23]Hao-Hsiang Yang, Chao-Han Huck Yang, Yu-Chiang Frank Wang:
Wavelet Channel Attention Module with a Fusion Network for Single Image Deraining. CoRR abs/2007.09163 (2020) - [i22]Yun-Chun Chen, Chao-Te Chou, Yu-Chiang Frank Wang:
Learning to Learn in a Semi-Supervised Fashion. CoRR abs/2008.11203 (2020) - [i21]Chih-Ting Liu, Yu-Jhe Li, Shao-Yi Chien, Yu-Chiang Frank Wang:
Semantics-Guided Clustering with Deep Progressive Learning for Semi-Supervised Person Re-identification. CoRR abs/2010.01148 (2020) - [i20]Ci-Siang Lin, Yuan-Chia Cheng, Yu-Chiang Frank Wang:
Domain Generalized Person Re-Identification via Cross-Domain Episodic Learning. CoRR abs/2010.09561 (2020) - [i19]Jia-Wei Yan, Ci-Siang Lin, Fu-En Yang, Yu-Jhe Li, Yu-Chiang Frank Wang:
Semantics-Guided Representation Learning with Applications to Visual Synthesis. CoRR abs/2010.10772 (2020) - [i18]Shang-Fu Chen, Jia-Wei Yan, Ya-Fan Su, Yu-Chiang Frank Wang:
Deep Representation Decomposition for Feature Disentanglement. CoRR abs/2011.00788 (2020)
2010 – 2019
- 2019
- [j23]Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Ming-Syan Chen, Yu-Chiang Frank Wang:
Transfer Neural Trees: Semi-Supervised Heterogeneous Domain Adaptation and Beyond. IEEE Trans. Image Process. 28(9): 4620-4633 (2019) - [c108]Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang:
Learning Resolution-Invariant Deep Representations for Person Re-Identification. AAAI 2019: 8215-8222 - [c107]Yen-Chung Chen, Keng-Jui Chang, Yi-Hsuan Tsai, Yu-Chiang Frank Wang, Wei-Chen Chiu:
Guide Your Eyes: Learning Image Manipulation under Saliency Guidance. BMVC 2019: Article 197 - [c106]Chih-Ting Liu, Chih-Wei Wu, Yu-Chiang Frank Wang, Shao-Yi Chien:
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification. BMVC 2019: Article 243 - [c105]Hwai-Jin Peng, Chia-Ming Wang, Yu-Chiang Frank Wang:
Element-Embedded Style Transfer Networks for Style Harmonization. BMVC 2019: Article 201 - [c104]Po-Yi Chen, Alexander H. Liu, Yen-Cheng Liu, Yu-Chiang Frank Wang:
Towards Scene Understanding: Unsupervised Monocular Depth Estimation With Semantic-Aware Representation. CVPR 2019: 2624-2632 - [c103]Wen-Hsuan Chu, Yu-Jhe Li, Jing-Cheng Chang, Yu-Chiang Frank Wang:
Spot and Learn: A Maximum-Entropy Patch Sampler for Few-Shot Image Classification. CVPR 2019: 6251-6260 - [c102]Wei-Yu Lee, Po-Yu Chuang, Yu-Chiang Frank Wang:
Perceptual Quality Preserving Image Super-resolution via Channel Attention. ICASSP 2019: 1737-1741 - [c101]Yan-Bo Lin, Yu-Jhe Li, Yu-Chiang Frank Wang:
Dual-modality Seq2Seq Network for Audio-visual Event Localization. ICASSP 2019: 2002-2006 - [c100]Yi-Lun Liao, Yao-Cheng Yang, Yuan-Fang Lin, Pin-Jung Chen, Chia-Wen Kuo, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Learning Pose-aware 3D Reconstruction via 2D-3D Self-consistency. ICASSP 2019: 3857-3861 - [c99]Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang:
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation. ICCV 2019: 7918-7928 - [c98]Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang:
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. ICCV 2019: 8089-8098 - [c97]Cheng-Yen Yang, Chi-Hsin Lo, Huan-Chih Wang, Jen-Hai Chou, Yu-Chiang Frank Wang:
Weakly-Supervised Learning for Attention-Guided Skull Fracture Classification In Computed Tomography Imaging. ICIP 2019: 1337-1341 - [c96]Chia-Ching Lin, Yu-Chiang Frank Wang, Chin-Laung Lei, Kuan-Ta Chen:
Semantics-Guided Data Hallucination for Few-Shot Visual Classification. ICIP 2019: 3302-3306 - [c95]Yen-Ting Liu, Yu-Jhe Li, Fu-En Yang, Shang-Fu Chen, Yu-Chiang Frank Wang:
Learning Hierarchical Self-Attention for Video Summarization. ICIP 2019: 3377-3381 - [c94]Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang:
A Closer Look at Few-shot Classification. ICLR (Poster) 2019 - [i17]Yan-Bo Lin, Yu-Jhe Li, Yu-Chiang Frank Wang:
Dual-modality seq2seq network for audio-visual event localization. CoRR abs/1902.07473 (2019) - [i16]Wei-Yu Chen, Yen-Cheng Liu, Zsolt Kira, Yu-Chiang Frank Wang, Jia-Bin Huang:
A Closer Look at Few-shot Classification. CoRR abs/1904.04232 (2019) - [i15]Yun-Chun Chen, Yu-Jhe Li, Xiaofei Du, Yu-Chiang Frank Wang:
Learning Resolution-Invariant Deep Representations for Person Re-Identification. CoRR abs/1907.10843 (2019) - [i14]Chih-Ting Liu, Chih-Wei Wu, Yu-Chiang Frank Wang, Shao-Yi Chien:
Spatially and Temporally Efficient Non-local Attention Network for Video-based Person Re-Identification. CoRR abs/1908.01683 (2019) - [i13]Yu-Jhe Li, Yun-Chun Chen, Yen-Yu Lin, Xiaofei Du, Yu-Chiang Frank Wang:
Recover and Identify: A Generative Dual Model for Cross-Resolution Person Re-Identification. CoRR abs/1908.06052 (2019) - [i12]Yu-Jhe Li, Ci-Siang Lin, Yan-Bo Lin, Yu-Chiang Frank Wang:
Cross-Dataset Person Re-Identification via Unsupervised Pose Disentanglement and Adaptation. CoRR abs/1909.09675 (2019) - 2018
- [j22]Kai-Han Lo, Yu-Chiang Frank Wang, Kai-Lung Hua:
Edge-Preserving Depth Map Upsampling by Joint Trilateral Filter. IEEE Trans. Cybern. 48(1): 371-384 (2018) - [c93]Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Order-Free RNN With Visual Attention for Multi-Label Classification. AAAI 2018: 6714-6721 - [c92]Jan Klopp, Yu-Chiang Frank Wang, Shao-Yi Chien, Liang-Gee Chen:
Learning a Code-Space Predictor by Exploiting Intra-Image-Dependencies. BMVC 2018: 124 - [c91]Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang:
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. CVPR Workshops 2018: 172-178 - [c90]Tzu-Sheng Kuo, Keng-Sen Tseng, Jia-Wei Yan, Yen-Cheng Liu, Yu-Chiang Frank Wang:
Deep Aggregation Net for Land Cover Classification. CVPR Workshops 2018: 252-256 - [c89]Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Multi-Label Zero-Shot Learning With Structured Knowledge Graphs. CVPR 2018: 1576-1585 - [c88]Yen-Cheng Liu, Yu-Ying Yeh, Tzu-Chien Fu, Sheng-De Wang, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation. CVPR 2018: 8867-8876 - [c87]Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Summarizing First-Person Videos from Third Persons' Points of Views. ECCV (15) 2018: 72-89 - [c86]Hong-Min Chu, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Deep Generative Models for Weakly-Supervised Multi-Label Classification. ECCV (2) 2018: 409-425 - [c85]Wen-Hsuan Chu, Yu-Chiang Frank Wang:
Learning Semantics-Guided Visual Attention for Few-Shot Image Classification. ICIP 2018: 2979-2983 - [c84]Yu-Jhe Li, Hsin-Yu Chang, Yu-Jing Lin, Po-Wei Wu, Yu-Chiang Frank Wang:
Deep Reinforcement Learning for Playing 2.5D Fighting Games. ICIP 2018: 3778-3782 - [c83]Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. NeurIPS 2018: 2595-2604 - [i11]Yu-Jhe Li, Fu-En Yang, Yen-Cheng Liu, Yu-Ying Yeh, Xiaofei Du, Yu-Chiang Frank Wang:
Adaptation and Re-Identification Network: An Unsupervised Deep Transfer Learning Approach to Person Re-Identification. CoRR abs/1804.09347 (2018) - [i10]Yu-Jhe Li, Hsin-Yu Chang, Yu-Jing Lin, Po-Wei Wu, Yu-Chiang Frank Wang:
Deep Reinforcement Learning for Playing 2.5D Fighting Games. CoRR abs/1805.02070 (2018) - [i9]Alexander H. Liu, Yen-Cheng Liu, Yu-Ying Yeh, Yu-Chiang Frank Wang:
A Unified Feature Disentangler for Multi-Domain Image Translation and Manipulation. CoRR abs/1809.01361 (2018) - [i8]Yi-Lun Liao, Yao-Cheng Yang, Yu-Chiang Frank Wang:
3D Shape Reconstruction from a Single 2D Image via 2D-3D Self-Consistency. CoRR abs/1811.12016 (2018) - 2017
- [c82]Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang:
Learning Deep Latent Space for Multi-Label Classification. AAAI 2017: 2838-2844 - [c81]Shi-Yen Tao, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Semantics-Preserving Locality Embedding for Zero-Shot Learning. BMVC 2017 - [c80]Hao-Wei Lee, Chia-Po Wei, Yu-Chiang Frank Wang:
Learning Grassmann manifolds for object state discovery. ICASSP 2017: 1223-1227 - [c79]Wei-Jen Ko, Jheng-Ying Yu, Wei-Yu Chen, Yu-Chiang Frank Wang:
Enhanced canonical correlation analysis with local density for cross-domain visual classification. ICASSP 2017: 1757-1761 - [c78]Te-Li Wang, Kuan-Yun Lee, Yu-Chiang Frank Wang:
Partial image blur detection and segmentation from a single snapshot. ICASSP 2017: 1907-1911 - [c77]Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun:
No More Discrimination: Cross City Adaptation of Road Scene Segmenters. ICCV 2017: 2011-2020 - [c76]Yu-An Chen, Wei-Che Chen, Chia-Po Wei, Yu-Chiang Frank Wang:
Occlusion-aware face inpainting via generative adversarial networks. ICIP 2017: 1202-1206 - [c75]Tzu-Chien Fu, Wei-Chen Chiu, Yu-Chiang Frank Wang:
Learning guided convolutional neural networks for cross-resolution face recognition. MLSP 2017: 1-5 - [c74]Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang:
Domain-Adaptive generative adversarial networks for sketch-to-photo inversion. MLSP 2017: 1-6 - [i7]Yi-Hsin Chen, Wei-Yu Chen, Yu-Ting Chen, Bo-Cheng Tsai, Yu-Chiang Frank Wang, Min Sun:
No More Discrimination: Cross City Adaptation of Road Scene Segmenters. CoRR abs/1704.08509 (2017) - [i6]Tzu-Chien Fu, Yen-Cheng Liu, Wei-Chen Chiu, Sheng-De Wang, Yu-Chiang Frank Wang:
Learning Cross-Domain Disentangled Deep Representation with Supervision from A Single Domain. CoRR abs/1705.01314 (2017) - [i5]Chih-Kuan Yeh, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang:
Generative-Discriminative Variational Model for Visual Recognition. CoRR abs/1706.02295 (2017) - [i4]Chih-Kuan Yeh, Wei-Chieh Wu, Wei-Jen Ko, Yu-Chiang Frank Wang:
Learning Deep Latent Spaces for Multi-Label Classification. CoRR abs/1707.00418 (2017) - [i3]Shang-Fu Chen, Yi-Chen Chen, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Order-Free RNN with Visual Attention for Multi-Label Classification. CoRR abs/1707.05495 (2017) - [i2]Chung-Wei Lee, Wei Fang, Chih-Kuan Yeh, Yu-Chiang Frank Wang:
Multi-Label Zero-Shot Learning with Structured Knowledge Graphs. CoRR abs/1711.06526 (2017) - [i1]Hsuan-I Ho, Wei-Chen Chiu, Yu-Chiang Frank Wang:
For Your Eyes Only: Learning to Summarize First-Person Videos. CoRR abs/1711.08922 (2017) - 2016
- [j21]Kai-Lung Hua, Kai-Han Lo, Yu-Chiang Frank Wang:
Extended Guided Filtering for Depth Map Upsampling. IEEE Multim. 23(2): 72-83 (2016) - [j20]Kai-Han Lo, Yu-Chiang Frank Wang, Kai-Lung Hua:
Example-Based Image Textural Style Transfer. IEEE Multim. 23(4): 60-66 (2016) - [j19]Kai-Lung Hua, Shintami Chusnul Hidayati, Fang-Lin He, Chia-Po Wei, Yu-Chiang Frank Wang:
Context-aware joint dictionary learning for color image demosaicking. J. Vis. Commun. Image Represent. 38: 230-245 (2016) - [j18]Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Unsupervised Domain Adaptation With Label and Structural Consistency. IEEE Trans. Image Process. 25(12): 5552-5562 (2016) - [j17]Kuang-Shih Huang, Po-Jui Chiu, Hsin-Mu Tsai, Chih-Chung Kuo, Hui-Yu Lee, Yu-Chiang Frank Wang:
RedEye: Preventing Collisions Caused by Red-Light Running Scooters With Smartphones. IEEE Trans. Intell. Transp. Syst. 17(5): 1243-1257 (2016) - [c73]Yao-Hung Hubert Tsai, Cheng-An Hou, Wei-Yu Chen, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Domain-Constraint Transfer Coding for Imbalanced Unsupervised Domain Adaptation. AAAI 2016: 3597-3603 - [c72]Wei-Yi Chang, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Style-oriented landmark retrieval and summarization. APSIPA 2016: 1-4 - [c71]Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Learning Cross-Domain Landmarks for Heterogeneous Domain Adaptation. CVPR 2016: 5081-5090 - [c70]Wei-Yu Chen, Tzu-Ming Harry Hsu, Yao-Hung Hubert Tsai, Yu-Chiang Frank Wang, Ming-Syan Chen:
Transfer Neural Trees for Heterogeneous Domain Adaptation. ECCV (5) 2016: 399-414 - [c69]Ting-En Tseng, Wei-Yi Chang, Chu-Song Chen, Yu-Chiang Frank Wang:
Style retrieval from natural images. ICASSP 2016: 1561-1565 - [c68]Wei-Yi Chang, Yu-Chiang Frank Wang:
Style-centric image summarization from photographic views of a city. ICASSP 2016: 2787-2791 - [c67]Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Heterogeneous domain adaptation with label and structure consistency. ICASSP 2016: 2842-2846 - [c66]Yuan-Ting Hsieh, Shi-Yen Tao, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Recognizing heterogeneous cross-domain data via generalized joint distribution adaptation. ICME 2016: 1-6 - [c65]Chia-Po Wei, Yu-Chiang Frank Wang:
With one look: 3D face shape estimation from a single snapshot. ICME 2016: 1-6 - [c64]Wei-Jen Ko, Yu-Chiang Frank Wang, Shao-Yi Chien:
Learning patch-based anchors for face hallucination. MMSP 2016: 1-5 - [c63]Hsin-Yuan Dennis Wen, Yu-Chiang Frank Wang:
Robust propagated filtering with applications to image texture filtering and beyond. MMSP 2016: 1-5 - [c62]Chih-Kuan Yeh, Wei-Chieh Wu, Yu-Chiang Frank Wang:
Learning graph fusion for query and database specific image retrieval. MMSP 2016: 1-5 - 2015
- [j16]Haw-Shiuan Chang, Yu-Chiang Frank Wang:
Optimizing the decomposition for multiple foreground cosegmentation. Comput. Vis. Image Underst. 141: 18-27 (2015) - [j15]Ting-Chu Lin, Min-Chun Yang, Chia-Yin Tsai, Yu-Chiang Frank Wang:
Query-Adaptive Multiple Instance Learning for Video Instance Retrieval. IEEE Trans. Image Process. 24(4): 1330-1340 (2015) - [j14]Chia-Po Wei, Yu-Chiang Frank Wang:
Undersampled Face Recognition via Robust Auxiliary Dictionary Learning. IEEE Trans. Image Process. 24(6): 1722-1734 (2015) - [c61]Cheng-An Hou, Yi-Ren Yeh, Yu-Chiang Frank Wang:
An unsupervised domain adaptation approach for cross-domain visual classification. AVSS 2015: 1-6 - [c60]Jen-Hao Rick Chang, Yu-Chiang Frank Wang:
Propagated image filtering. CVPR 2015: 10-18 - [c59]Min-Chun Yang, Chia-Po Wei, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Recognition at a long distance: Very low resolution face recognition and hallucination. ICB 2015: 237-242 - [c58]Tzu-Ming Harry Hsu, Wei-Yu Chen, Cheng-An Hou, Yao-Hung Hubert Tsai, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Unsupervised Domain Adaptation with Imbalanced Cross-Domain Data. ICCV 2015: 4121-4129 - [c57]Wei-Yu Chen, Tzu-Ming Harry Hsu, Cheng-An Hou, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Connecting the dots without clues: Unsupervised domain adaptation for cross-domain visual classification. ICIP 2015: 3997-4001 - [c56]Ming-Chia Tsai, Chia-Po Wei, Yu-Chiang Frank Wang:
Graph regularized low-rank matrix recovery for robust person re-identification. ICIP 2015: 4654-4658 - [c55]Wei-Yi Chang, Yu-Chiang Frank Wang:
Seeing through the appearance: Body shape estimation using multi-view clothing images. ICME 2015: 1-6 - [c54]Chia-Po Wei, Yu-Chiang Frank Wang:
Undersampled face recognition with one-pass dictionary learning. ICME 2015: 1-6 - [c53]Tzu-Yun Lin, Yu-Chiang Frank Wang, Sean Moss-Pultz:
ObjectMinutiae: Fingerprinting for Object Authentication. ACM Multimedia 2015: 815-816 - [c52]Hui-Tang Chang, Po-Cheng Pan, Yu-Chiang Frank Wang, Ming-Syan Chen:
R2P: Recomposition and Retargeting of Photographic Images. ACM Multimedia 2015: 927-930 - 2014
- [j13]Yi-Ren Yeh, Chun-Hao Huang, Yu-Chiang Frank Wang:
Heterogeneous Domain Adaptation and Classification by Exploiting the Correlation Subspace. IEEE Trans. Image Process. 23(5): 2009-2018 (2014) - [j12]Chia-Po Wei, Chih-Fan Chen, Yu-Chiang Frank Wang:
Robust Face Recognition With Structurally Incoherent Low-Rank Matrix Decomposition. IEEE Trans. Image Process. 23(8): 3294-3307 (2014) - [j11]De-An Huang, Li-Wei Kang, Yu-Chiang Frank Wang, Chia-Wen Lin:
Self-Learning Based Image Decomposition With Applications to Single Image Denoising. IEEE Trans. Multim. 16(1): 83-93 (2014) - [c51]Haw-Shiuan Chang, Yu-Chiang Frank Wang:
Simple-to-Complex Discriminative Clustering for Hierarchical Image Segmentation. ACCV (3) 2014: 391-407 - [c50]Yun-Fan Chang, Payton Lin, Shao-Hua Cheng, Kai-Hsuan Chan, Yi-Chong Zeng, Chia-Wei Liao, Wen-Tsung Chang, Yu-Chiang Wang, Yu Tsao:
Robust anchorperson detection based on audio streams using a hybrid I-vector and DNN system. APSIPA 2014: 1-4 - [c49]Chia-Yin Tsai, Ting-Chu Lin, Chia-Po Wei, Yu-Chiang Frank Wang:
Extended-bag-of-features for translation, rotation, and scale-invariant image retrieval. ICASSP 2014: 6874-6878 - [c48]Yao-Hung Tsai, Hung-Ming Hsu, Cheng-An Hou, Yu-Chiang Frank Wang:
Person-specific domain adaptation with applications to heterogeneous face recognition. ICIP 2014: 338-342 - [c47]Ming-Hang Fu, Yu-Chiang Frank Wang, Chu-Song Chen:
Exploiting low-rank structures from cross-camera images for robust person re-identification. ICIP 2014: 2427-2431 - [c46]Shao-Hua Sun, Shang-Pu Fan, Yu-Chiang Frank Wang:
Exploiting image structural similarity for single image rain removal. ICIP 2014: 4482-4486 - [c45]Wei-Yi Chang, Chia-Po Wei, Yu-Chiang Frank Wang:
Multi-view Nonnegative Matrix Factorization for Clothing Image Characterization. ICPR 2014: 1272-1277 - [c44]Cheng-An Hou, Min-Chun Yang, Yu-Chiang Frank Wang:
Domain Adaptive Self-Taught Learning for Heterogeneous Face Recognition. ICPR 2014: 3068-3073 - [c43]Hui-Tang Chang, Yu-Chiang Frank Wang, Ming-Syan Chen:
Transfer in Photography Composition. ACM Multimedia 2014: 957-960 - 2013
- [j10]Shih-Wei Sun, Yu-Chiang Frank Wang, Fay Huang, Hong-Yuan Mark Liao:
Moving foreground object detection via robust SIFT trajectories. J. Vis. Commun. Image Represent. 24(3): 232-243 (2013) - [j9]Yi-Ren Yeh, Yu-Chiang Frank Wang:
A rank-one update method for least squares linear discriminant analysis with concept drift. Pattern Recognit. 46(5): 1267-1276 (2013) - [j8]Chia-Po Wei, Yu-Wei Chao, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Locality-sensitive dictionary learning for sparse representation based classification. Pattern Recognit. 46(5): 1277-1287 (2013) - [j7]Wei-Te Li, Haw-Shiuan Chang, Kuo-Chin Lien, Hui-Tang Chang, Yu-Chiang Frank Wang:
Exploring Visual and Motion Saliency for Automatic Video Object Extraction. IEEE Trans. Image Process. 22(7): 2600-2610 (2013) - [j6]Yuh-Jye Lee, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Anomaly Detection via Online Oversampling Principal Component Analysis. IEEE Trans. Knowl. Data Eng. 25(7): 1460-1470 (2013) - [j5]Min-Chun Yang, Woo Kyung Moon, Yu-Chiang Frank Wang, Min Sun Bae, Chiun-Sheng Huang, Jeon-Hor Chen, Ruey-Feng Chang:
Robust Texture Analysis Using Multi-Resolution Gray-Scale Invariant Features for Breast Sonographic Tumor Diagnosis. IEEE Trans. Medical Imaging 32(12): 2262-2273 (2013) - [j4]Min-Chun Yang, Yu-Chiang Frank Wang:
A Self-Learning Approach to Single Image Super-Resolution. IEEE Trans. Multim. 15(3): 498-508 (2013) - [c42]Chia-Po Wei, Yen-Ming Huang, Yu-Chiang Frank Wang, Ming-Yu Shih:
Background Recovery in Railroad Crossing Videos via Incremental Low-Rank Matrix Decomposition. ACPR 2013: 702-706 - [c41]Kai-Han Lo, Kai-Lung Hua, Yu-Chiang Frank Wang:
Depth map super-resolution via Markov Random Fields without texture-copying artifacts. ICASSP 2013: 1414-1418 - [c40]De-An Huang, Yu-Chiang Frank Wang:
Coupled Dictionary and Feature Space Learning with Applications to Cross-Domain Image Synthesis and Recognition. ICCV 2013: 2496-2503 - [c39]Yen-Cheng Chou, Chia-Po Wei, Yu-Chiang Frank Wang:
A discriminative domain adaptation model for cross-domain image classification. ICIP 2013: 3083-3087 - [c38]Wen-Sheng Tseng, Lun-Kai Hsu, Li-Wei Kang, Yu-Chiang Frank Wang:
Cross-view action recognition via low-rank based domain adaptation. ICIP 2013: 3244-3248 - [c37]Haw-Shiuan Chang, Yu-Chiang Frank Wang:
Superpixel-based large displacement optical flow. ICIP 2013: 3835-3839 - [c36]Lun-Kai Hsu, Wen-Sheng Tseng, Li-Wei Kang, Yu-Chiang Frank Wang:
Seeing through the expression: Bridging the gap between expression and emotion recognition. ICME 2013: 1-6 - [c35]Chiao-Meng Huang, Chia-Po Wei, Yu-Chiang Frank Wang:
Active learning based clothing image recommendation with implicit user preferences. ICME Workshops 2013: 1-4 - [c34]Chia-Po Wei, Yu-Chiang Frank Wang:
Learning auxiliary dictionaries for undersampled face recognition. ICME 2013: 1-6 - [c33]De-An Huang, Yu-Chiang Frank Wang:
With one look: robust face recognition using single sample per person. ACM Multimedia 2013: 601-604 - [c32]Ming-Hen Tsai, Yi-Ren Yeh, Yuh-Jye Lee, Yu-Chiang Frank Wang:
Solving Nonlinear SVM in Linear Time? A Nyström Approximated SVM with Applications to Image Classification. MVA 2013: 5-8 - [c31]Kai-Han Lo, Yu-Chiang Frank Wang, Kai-Lung Hua:
Joint trilateral filtering for depth map super-resolution. VCIP 2013: 1-6 - 2012
- [j3]Yi-Ren Yeh, Ting-Chu Lin, Yung-Yu Chung, Yu-Chiang Frank Wang:
A Novel Multiple Kernel Learning Framework for Heterogeneous Feature Fusion and Variable Selection. IEEE Trans. Multim. 14(3-1): 563-574 (2012) - [c30]Ting-Chu Lin, Jau-Hong Kao, Chin-Te Liu, Chia-Yin Tsai, Yu-Chiang Frank Wang:
Video instance search for embedded marketing. APSIPA 2012: 1-4 - [c29]Chih-Fan Chen, Chia-Po Wei, Yu-Chiang Frank Wang:
Low-rank matrix recovery with structural incoherence for robust face recognition. CVPR 2012: 2618-2625 - [c28]Chun-Hao Huang, Yi-Ren Yeh, Yu-Chiang Frank Wang:
Recognizing Actions across Cameras by Exploring the Correlated Subspace. ECCV Workshops (1) 2012: 342-351 - [c27]Wei-Te Li, Hui-Tang Chang, Hermes Shing Lyu, Yu-Chiang Frank Wang:
Automatic saliency inspired foreground object extraction from videos. ICIP 2012: 1089-1092 - [c26]Fang-Lin He, Yu-Chiang Frank Wang, Kai-Lung Hua:
Self-learning approach to color demosaicking via support vector regression. ICIP 2012: 2765-2768 - [c25]De-An Huang, Li-Wei Kang, Min-Chun Yang, Chia-Wen Lin, Yu-Chiang Frank Wang:
Context-Aware Single Image Rain Removal. ICME 2012: 164-169 - [c24]Min-Chun Yang, De-An Huang, Chih-Yun Tsai, Yu-Chiang Frank Wang:
Self-Learning of Edge-Preserving Single Image Super-Resolution via Contourlet Transform. ICME 2012: 574-579 - [c23]Chiao-Meng Huang, Shannon Chen, Michael Cheng, Yu-Chiang Frank Wang:
A sparse-coding based approach to clothing image retrieval. ISPACS 2012: 314-318 - [c22]Chih-Yun Tsai, De-An Huang, Min-Chun Yang, Li-Wei Kang, Yu-Chiang Frank Wang:
Context-aware single image super-resolution using locality-constrained group sparse representation. VCIP 2012: 1-6 - 2011
- [c21]Yu-Wei Chao, Yi-Ren Yeh, Yu-Wen Chen, Yuh-Jye Lee, Yu-Chiang Frank Wang:
Locality-constrained group sparse representation for robust face recognition. ICIP 2011: 761-764 - [c20]Ming-Chun Yang, Chang-Heng Wang, Ting-Yao Hu, Yu-Chiang Frank Wang:
Learning context-aware sparse representation for single image super-resolution. ICIP 2011: 1349-1352 - [c19]Ching-Hui Chen, Wei-Ho Chung, Yu-Chiang Frank Wang:
Joint source-channel coding optimization with packet loss resilience for video transmission. ICIP 2011: 2197-2200 - [c18]Ching-Hui Chen, Wei-Ho Chung, Yu-Chiang Frank Wang:
Cross-layer design for video streaming with dynamic antenna selection. ICIP 2011: 3245-3248 - [c17]Kuo-Chin Lien, Yu-Chiang Frank Wang:
Automatic object extraction in single-concept videos. ICME 2011: 1-6 - [c16]Shih-Wei Sun, Yu-Chiang Frank Wang, Yao-Ling Hung, Chia-Ling Chang, Kuan-Chieh Chen, Shih-Sian Cheng, Hsin-Min Wang, Hong-Yuan Mark Liao:
Automatic annotation of Web videos. ICME 2011: 1-6 - [c15]Yi-Ren Yeh, Yung-Yu Chung, Ting-Chu Lin, Yu-Chiang Frank Wang:
Group lasso regularized multiple kernel learning for heterogeneous feature selection. IJCNN 2011: 2570-2577 - [c14]Chih-Fan Chen, Yu-Chiang Frank Wang:
Exploring self-similarities of bag-of-features for image classification. ACM Multimedia 2011: 1421-1424 - [c13]Ming-Chun Yang, Ting-Yao Hu, Chang-Heng Wang, Yu-Chiang Frank Wang:
Learning of context-aware single image super-resolution. VCIP 2011: 1-4 - [c12]Tsung-Yi Lin, Yen-Yu Lin, Ming-Fang Weng, Yu-Chiang Frank Wang, Yu-Feng Hsu, Hong-Yuan Mark Liao:
Cross camera people counting with perspective estimation and occlusion handling. WIFS 2011: 1-6 - 2010
- [c11]Shao-Chuan Wang, Yu-Chiang Frank Wang:
A Multi-Scale Learning Framework for Visual Categorization. ACCV (1) 2010: 310-322 - [c10]Wang-Chou Lu, Yu-Chiang Frank Wang, Chu-Song Chen:
Learning Dense Optical-Flow Trajectory Patterns for Video Object Extraction. AVSS 2010: 315-322 - [c9]Shao-Chuan Wang, Yu-Chiang Frank Wang:
Simultaneous Object Recognition and Localization in Image Collections. AVSS 2010: 497-504 - [c8]Ming-Chun Yang, Chao-Tsung Chu, Yu-Chiang Frank Wang:
Learning sparse image representation with support vector regression for single-image super-resolution. ICIP 2010: 1973-1976 - [c7]Shao-Chuan Wang, Yu-Chiang Frank Wang:
Segmentation-free object localization in image collections. ICME 2010: 1546-1551
2000 – 2009
- 2009
- [c6]Yu-Chiang Frank Wang, David P. Casasent:
A support vector hierarchical method for multi-class classification and rejection. IJCNN 2009: 3281-3288 - 2008
- [j2]Yu-Chiang Frank Wang, David P. Casasent:
New support vector-based design method for binary hierarchical classifiers for multi-class classification problems. Neural Networks 21(2-3): 502-510 (2008) - [c5]Yu-Chiang Frank Wang, David P. Casasent:
Soft-decision hierarchical classification using SVM-type classifiers. IJCNN 2008: 1793-1800 - 2007
- [c4]Yu-Chiang Frank Wang, David P. Casasent:
New Weighted Support Vector K-means Clustering for Hierarchical Multi-class Classification. IJCNN 2007: 471-476 - 2006
- [c3]Yu-Chiang Frank Wang, David P. Casasent:
Hierarchical K-means Clustering Using New Support Vector Machines for Multi-class Classification. IJCNN 2006: 3457-3464 - 2005
- [j1]David P. Casasent, Yu-Chiang Wang:
A hierarchical classifier using new support vector machines for automatic target recognition. Neural Networks 18(5-6): 541-548 (2005) - [c2]Yu-Chiang Wang, David P. Casasent:
A Hierarchical Classifier Using New Support Vector Machine. ICDAR 2005: 851-855 - [c1]David P. Casasent, Yu-Chiang Wang:
Automatic target recognition using new support vector machine. IJCNN 2005: 84-89
Coauthor Index
Byung kwan Lee
aka: Byung-Kwan Lee
aka: Byung-Kwan Lee
Hung-yi Lee
aka: Hung-Yi Lee
aka: Hung-Yi Lee
Yao-Hung Tsai
aka: Yao-Hung Hubert Tsai
aka: Yao-Hung Hubert Tsai
Chao-Han Huck Yang
aka: Huck Yang
aka: Huck Yang
[c206] [c202] [c194] [c193] [i135] [i131] [i126] [i124] [i123] [i122] [i120] [i112] [c184] [c179] [c172] [i104] [i99] [i93] [i91] [i76] [c167] [c164] [c162] [c159] [i66] [i54] [j29] [c146] [c142] [i49] [i45] [i39] [c133] [i33] [c131] [c130] [c124] [i30] [i28] [i26] [j24] [c119] [c111] [c110] [i19] [c95] [c91] [i11]
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