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ORCIDThomas E. Huang
Person information
- affiliation: ETH Zurich, Switzerland
- affiliation (former): University of Michigan, USA
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2020 – today
- 2023
[j1]Tobias Fischer
, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15380-15393 (2023)- [c8]Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu:
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. ICCV 2023: 8613-8623 - [c7]Yung-Hsu Yang, Thomas E. Huang, Min Sun, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu:
Dense Prediction with Attentive Feature Aggregation. WACV 2023: 97-106 - [c6]Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. WACV 2023: 2298-2307 - [i9]Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu:
Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. CoRR abs/2309.04422 (2023) - 2022
- [c5]Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu:
Tracking Every Thing in the Wild. ECCV (22) 2022: 498-515 - [i8]Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu:
Tracking Every Thing in the Wild. CoRR abs/2207.12978 (2022) - [i7]Tobias Fischer, Jiangmiao Pang, Thomas E. Huang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu:
QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. CoRR abs/2210.06984 (2022) - [i6]Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool:
Composite Learning for Robust and Effective Dense Predictions. CoRR abs/2210.07239 (2022) - 2021
- [c4]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. ICCV 2021: 9123-9132 - [c3]Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong:
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. ICLR 2021 - [i5]Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong:
Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. CoRR abs/2104.06697 (2021) - [i4]Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell:
Robust Object Detection via Instance-Level Temporal Cycle Confusion. CoRR abs/2104.08381 (2021) - [i3]Yung-Hsu Yang, Thomas E. Huang, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu:
Dense Prediction with Attentive Feature Aggregation. CoRR abs/2111.00770 (2021) - 2020
- [c2]Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu:
Frustratingly Simple Few-Shot Object Detection. ICML 2020: 9919-9928 - [i2]Xin Wang, Thomas E. Huang, Trevor Darrell, Joseph E. Gonzalez, Fisher Yu:
Frustratingly Simple Few-Shot Object Detection. CoRR abs/2003.06957 (2020)
2010 – 2019
- 2018
- [c1]Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee:
Learning Hierarchical Semantic Image Manipulation through Structured Representations. NeurIPS 2018: 2713-2723 - [i1]Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee:
Learning Hierarchical Semantic Image Manipulation through Structured Representations. CoRR abs/1808.07535 (2018)
Coauthor Index
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