Zekun Qian — accepted AI-conference papers

2025

DOVTrack: Data-Efficient Open-Vocabulary Tracking

Zekun Qian, Ruize Han, Zhixiang Wang, Junhui Hou, Wei Feng

NeurIPS 2025poster

Open-Vocabulary Multi-Object Tracking (OVMOT) aims to detect and track multi-category objects including both seen and unseen categories during training. Currently, a significant challenge in this domain is the lack of large-scale annotated video data for training. To address this challenge, this…

Cited by 0 Source ↗code ↗Scholar ↗

2022

Self-Supervised Social Relation Representation for Human Group Detection

Jiacheng Li, Ruize Han, Haomin Yan, Zekun Qian, Wei Feng, Song Wang

ECCV 2022poster

"Human group detection, which splits crowd of people into groups, is an important step for video-based human social activity analysis. The core of human group detection is the human social relation representation and division. In this paper, we propose a new two-stage multi-head framework for human…

Cited by 11 Source ↗PDF ↗code ↗Scholar ↗