Thomas E. Huang

According to our database, Thomas E. Huang authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking.

Tobias Fischer, Thomas E. Huang, Jiangmiao Pang, Linlu Qiu, Haofeng Chen, Trevor Darrell, Fisher Yu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Dense Prediction with Attentive Feature Aggregation.

Yung-Hsu Yang, Thomas E. Huang, Min Sun, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Composite Learning for Robust and Effective Dense Predictions.

Menelaos Kanakis, Thomas E. Huang, David Brüggemann, Fisher Yu, Luc Van Gool

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving.

Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Tracking Every Thing in the Wild.

Siyuan Li, Martin Danelljan, Henghui Ding, Thomas E. Huang, Fisher Yu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Dense Prediction with Attentive Feature Aggregation.

Yung-Hsu Yang, Thomas E. Huang, Samuel Rota Bulò, Peter Kontschieder, Fisher Yu

CoRR, 2021

Revisiting Hierarchical Approach for Persistent Long-Term Video Prediction.

Wonkwang Lee, Whie Jung, Han Zhang, Ting Chen, Jing Yu Koh, Thomas E. Huang, Hyungsuk Yoon, Honglak Lee, Seunghoon Hong

Proceedings of the 9th International Conference on Learning Representations, 2021

Robust Object Detection via Instance-Level Temporal Cycle Confusion.

Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Frustratingly Simple Few-Shot Object Detection.

Xin Wang, Thomas E. Huang, Joseph Gonzalez, Trevor Darrell, Fisher Yu

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Learning Hierarchical Semantic Image Manipulation through Structured Representations.

Seunghoon Hong, Xinchen Yan, Thomas E. Huang, Honglak Lee

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018