Wu, Tsung-Han

16 publications

ICLR 2026 SAM 3: Segment Anything with Concepts Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris Coll-Vinent, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollar, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer

ICLR 2026 Search Arena: Analyzing Search-Augmented LLMs Mihran Miroyan, Tsung-Han Wu, Logan King, Tianle Li, Jiayi Pan, Xinyan Hu, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Trevor Darrell, Narges Norouzi, Joseph E. Gonzalez

NeurIPS 2025 Generate, but Verify: Reducing Hallucination in Vision-Language Models with Retrospective Resampling Tsung-Han Wu, Heekyung Lee, Jiaxin Ge, Joseph E. Gonzalez, Trevor Darrell, David M. Chan

NeurIPS 2025 LISAt: Language-Instructed Segmentation Assistant for Satellite Imagery Jerome Quenum, Wen-Han Hsieh, Tsung-Han Wu, Ritwik Gupta, Trevor Darrell, David M. Chan

ICLRW 2025 Revisiting Semi-Supervised Adversarial Training via Noise-Aware Online Robust Distillation Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu

ICLR 2025 Visual Haystacks: A Vision-Centric Needle-in-a-Haystack Benchmark Tsung-Han Wu, Giscard Biamby, Jerome Quenum, Ritwik Gupta, Joseph E. Gonzalez, Trevor Darrell, David Chan

NeurIPS 2024 AED: Adaptable Error Detection for Few-Shot Imitation Policy Jia-Fong Yeh, Kuo-Han Hung, Pang-Chi Lo, Chi-Ming Chung, Tsung-Han Wu, Hung-Ting Su, Yi-Ting Chen, Winston H. Hsu

CVPR 2024 See Say and Segment: Teaching LMMs to Overcome False Premises Tsung-Han Wu, Giscard Biamby, David Chan, Lisa Dunlap, Ritwik Gupta, Xudong Wang, Joseph E. Gonzalez, Trevor Darrell

CVPR 2024 Self-Correcting LLM-Controlled Diffusion Models Tsung-Han Wu, Long Lian, Joseph E. Gonzalez, Boyi Li, Trevor Darrell

ICCVW 2023 Fair Robust Active Learning by Joint Inconsistency Tsung-Han Wu, Hung-Ting Su, Shang-Tse Chen, Winston H. Hsu

CoRL 2023 Revisiting Depth-Guided Methods for Monocular 3D Object Detection by Hierarchical Balanced Depth Yi-Rong Chen, Ching-Yu Tseng, Yi-Syuan Liou, Tsung-Han Wu, Winston H. Hsu

ECCV 2022 D2ADA: Dynamic Density-Aware Active Domain Adaptation for Semantic Segmentation Tsung-Han Wu, Yi-Syuan Liou, Shao-Ji Yuan, Hsin-Ying Lee, Tung-I Chen, Kuan-Chih Huang, Winston H. Hsu

CVPR 2022 MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer Kuan-Chih Huang, Tsung-Han Wu, Hung-Ting Su, Winston H. Hsu

ICCV 2021 ReDAL: Region-Based and Diversity-Aware Active Learning for Point Cloud Semantic Segmentation Tsung-Han Wu, Yueh-Cheng Liu, Yu-Kai Huang, Hsin-Ying Lee, Hung-Ting Su, Ping-Chia Huang, Winston H. Hsu

CVPR 2021 S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu

ICCVW 2019 Indoor Depth Completion with Boundary Consistency and Self-Attention Yu-Kai Huang, Tsung-Han Wu, Yueh-Cheng Liu, Winston H. Hsu