Zongheng Tang

Zongheng Tang (汤宗衡)

I'm a postdoctoral fellow at the Hangzhou International Innovation Institute, Beihang University, fortunate to be co-advised by Prof. Zhiming Zheng and Prof. Si Liu. I received my Ph.D. and B.Eng. degrees in Computer Science from Beihang University.

My research interests focus on computer vision and embodied AI.

Email / CV / Google Scholar / Github

Research

Some selected papers are highlighted. (* denotes equal contribution)

	CoST: Efficient Collaborative Perception From Unified Spatiotemporal Perspective Zongheng Tang, Yi Liu, Yifan Sun, Yulu Gao, Jinyu Chen, Runsheng Xu, Si Liu ICCV, 2025 (Highlight) project page / arXiv Proposed a unified spatiotemporal perspective for collaborative perception, significantly reducing communication bandwidth while improving 3D object detection accuracy.
	Detr with additional global aggregation for cross-domain weakly supervised object detection Zongheng Tang, Yifan Sun, Si Liu, Yi Yang CVPR, 2023 project page / arXiv Introduced a domain adaptive paradigm based on the DETR framework with a novel encoder-decoder dual-level global Query aggregation module.
	MI3C: Mining intra-and inter-image context for person search Zongheng Tang, Yulu Gao, Tianrui Hui, Fengguang Peng, Si Liu Pattern Recognition (PR), 2024 project page / arXiv A novel approach for person search that effectively mines contextual information both within and across images.
	Human-centric spatio-temporal video grounding with visual transformers Zongheng Tang, Yue Liao, Si Liu, Guanbin Li, Xiaojie Jin, Hongxu Jiang, Qian Yu, Dong Xu TCSVT, 2021 project page / arXiv Proposed the human-centric spatio-temporal video grounding task and established a popular benchmark dataset and baseline.
	Unified transformer with isomorphic branches for natural language tracking Rong Wang, Zongheng Tang, Qianli Zhou, Xiaoqian Liu, Tianrui Hui, Quange Tan, Si Liu TCSVT, 2023 project page / arXiv Designed a language-vision isomorphic dual-branch architecture for highly accurate language-guided object tracking.
	Strong Detector with Simple Tracker Zongheng Tang, Yulu Gao, Zizheng Xun, Fengguang Peng, Yifan Sun, Si Liu, Bo Li CVPRW, 2023 project page / arXiv Developed a joint UAV detection and tracking model integrating trajectory prediction and appearance feature matching.

Competitions & Awards

Champion (1st place) - CVPR 2023 3rd Anti-UAV Tracking Challenge (Lead Participant)
3rd Place - CVPR 2023 3rd Anti-UAV Detection Challenge (Lead Participant)
Runner-up (2nd place) - ICCV 2022 2nd Anti-UAV Tracking Challenge (Core Participant)
Champion (1st place) - ACL 2020 REVERIE Vision-Language Navigation Challenge (Core Participant)

Template adapted from Jon Barron's website.