activity
20242026
collaborators
Showing 2026Show all

7 papers · 1 filter

cs.CV2026

CD-RMOT-Bench: Benchmarking the Cross-Domain Referring Multi-Object Tracking

Xiangqun Zhang, Likai Wang, Zekun Qian +2

Referring multi-object tracking (RMOT) extends tracking from category-driven perception to language-guided understanding by grounding object trajectories in natural-language expres…

cs.CV2026

RT-SDGOD: Real-Time Single-Domain Generalized Object Detection

Yupeng Zhang, Fangzhuo Gao, Ruize Han +2

In real-world deployment under strict real-time constraints, weather and imaging variations induce significant distribution shifts, severely degrading detectors. Single-Domain Gene…

cs.CV2026

ExDet: Open-Domain Open-Vocabulary Detection with Cross-modal Extrapolation and Rectification

Yupeng Zhang, Yuzhong Feng, Ruize Han +3

Open-domain open-vocabulary detection (ODOVD) requires detectors to generalize to both novel categories and unseen domains, making it more challenging than open-vocabulary detectio…

cs.CV2026

LV-OSD: Language-Vision-Complementary Open-Set Object Detection

Yupeng Zhang, Ruize Han, Wei Feng +2

Object detection is an important task in computer vision, which aims to detect the objects of interest. through the given category list or query images. In this work, we propose a…

cs.CV2026

VFMSDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection

Yupeng Zhang, Ruize Han, Ningnan Guo +3

Real-world weather, illumination, and imaging variations often induce severe domain shifts, degrading single-source detectors in unseen environments. Existing single-domain general…

cs.CV2026

NoOVD: Novel Category Discovery and Embedding for Open-Vocabulary Object Detection

Yupeng Zhang, Ruize Han, Zhiwei Chen +2

Despite the remarkable progress in open-vocabulary object detection (OVD), a significant gap remains between the training and testing phases. During training, the RPN and RoI heads…

cs.CV2026

COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm

Zekun Qian, Wei Feng, Ruize Han +1

Multi-Object Tracking (MOT) has traditionally focused on a few specific categories, restricting its applicability to real-world scenarios involving diverse objects. Open-Vocabulary…