13 papers
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…
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…
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…
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…
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…
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…
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…
CLIPVehicle: A Unified Framework for Vision-based Vehicle Search
Likai Wang, Ruize Han, Xiangqun Zhang +1
Vehicles, as one of the most common and significant objects in the real world, the researches on which using computer vision technologies have made remarkable progress, such as veh…
ODOV: Benchmark the Open-Domain Open-Vocabulary Object Detection
Yupeng Zhang, Ruize Han, Fangnan Zhou +2
Existing studies typically investigate domain shift and category shift as independent problems, however, in real-world scenarios, the two types of shifts often occur simultaneously…
VOVTrack: Exploring the Potentiality in Videos for Open-Vocabulary Object Tracking
Zekun Qian, Ruize Han, Junhui Hou +2
Open-vocabulary multi-object tracking (OVMOT) represents a critical new challenge involving the detection and tracking of diverse object categories in videos, encompassing both see…
OCTrack: Benchmarking the Open-Corpus Multi-Object Tracking
Zekun Qian, Ruize Han, Wei Feng +3
We study a novel yet practical problem of open-corpus multi-object tracking (OCMOT), which extends the MOT into localizing, associating, and recognizing generic-category objects of…
Synthetic-To-Real Video Person Re-ID
Xiangqun Zhang, Wei Feng, Ruize Han +3
Person re-identification (Re-ID) is an important task and has significant applications for public security and information forensics, which has progressed rapidly with the developm…
Unveiling the Power of Self-supervision for Multi-view Multi-human Association and Tracking
Wei Feng, Feifan Wang, Ruize Han +2
Multi-view multi-human association and tracking (MvMHAT), is a new but important problem for multi-person scene video surveillance, aiming to track a group of people over time in e…