collaborators

10 papers

cs.CV2026

RegionDet: A Benchmark for Region Detection Beyond Object Instances

Liang Wan, Yuhan Wang, Yupeng Zhang +4

Object detection is a fundamental task in computer vision and has achieved remarkable progress on standard benchmarks by localizing discrete and well-bounded object instances. Howe…

cs.CV2026

ECAD: Expanding Class-Agnostic Detection Beyond Thing-Centric Objectness

Liang Wan, Zixin Ren, Yupeng Zhang +2

Object detection is a fundamental task in visual perception, providing structured region representations for recognition, grounding, reasoning, and interaction. However, existing d…

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

COVD: Continual Open-Vocabulary Object Detection with Novel Concept Injection

Yupeng Zhang, Ruize Han, Yuzhong Feng +3

Open-vocabulary object detection (OVD) has made significant progress, enabling detectors to generalize from seen to unseen categories. However, real-world category spaces continual…

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.CV2025

LabelGS: Label-Aware 3D Gaussian Splatting for 3D Scene Segmentation

Yupeng Zhang, Dezhi Zheng, Ping Lu +8

3D Gaussian Splatting (3DGS) has emerged as a novel explicit representation for 3D scenes, offering both high-fidelity reconstruction and efficient rendering. However, 3DGS lacks 3…

cs.CV2025

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…