Learning Hierarchical Semantic Image Manipulation through Structured Representations. - Seunghoon Hong; Xinchen Yan; Thomas E. Huang; Honglak Lee (NeurIPS, 2018)

Frustratingly Simple Few-Shot Object Detection. - Xin Wang 066; Thomas E. Huang; Joseph Gonzalez 001; Trevor Darrell; Fisher Yu 001 (ICML, 2020)

Robust Object Detection via Instance-Level Temporal Cycle Confusion. - Xin Wang 066; Thomas E. Huang; Benlin Liu; Fisher Yu 001; Xiaolong Wang 004; Joseph E. Gonzalez; Trevor Darrell (ICCV, 2021)

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction. - Wonkwang Lee; Whie Jung; Han Zhang 010; Ting Chen 001; Jing Yu Koh; Thomas E. Huang; Hyungsuk Yoon; Honglak Lee; Seunghoon Hong (ICLR, 2021)

Dense Prediction with Attentive Feature Aggregation. - Yung-Hsu Yang; Thomas E. Huang; Samuel Rota Bulò; Peter Kontschieder; Fisher Yu 001 (CoRR, 2021)

Tracking Every Thing in the Wild. - Siyuan Li 008; Martin Danelljan; Henghui Ding; Thomas E. Huang; Fisher Yu 001 (ECCV (22), 2022)

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. - Thomas E. Huang; Yifan Liu 001; Luc Van Gool; Fisher Yu 001 (ICCV, 2023)

Composite Learning for Robust and Effective Dense Predictions. - Menelaos Kanakis; Thomas E. Huang; David Brüggemann; Fisher Yu 001; Luc Van Gool (WACV, 2023)

Dense Prediction with Attentive Feature Aggregation. - Yung-Hsu Yang; Thomas E. Huang; Min Sun 001; Samuel Rota Bulò; Peter Kontschieder; Fisher Yu 001 (WACV, 2023)

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking. - Tobias Fischer 004; Thomas E. Huang; Jiangmiao Pang; Linlu Qiu; Haofeng Chen; Trevor Darrell; Fisher Yu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)