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20192026
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cs.CV2026

Suppress and Diversify: Refining Robust Pathways for Corruption Robustness

Jiangang Yang, Wenhui Shi, Xiaoran Xu +4

Model robustness against natural image corruptions is essential for safety-critical applications. While existing methods primarily focus on implicit representation learning, we pro…

cs.CV2026

Towards Domain-Generalized Open-Vocabulary Object Detection: A Progressive Domain-invariant Cross-modal Alignment Method

Xiaoran Xu, Xiaoshan Yang, Jiangang Yang +3

Open-Vocabulary Object Detection (OVOD) has achieved remarkable success in generalizing to novel categories. However, this success often rests on the implicit assumption of domain…

cs.CV2025

Boosting Single-domain Generalized Object Detection via Vision-Language Knowledge Interaction

Xiaoran Xu, Jiangang Yang, Wenyue Chong +4

Single-Domain Generalized Object Detection~(S-DGOD) aims to train an object detector on a single source domain while generalizing well to diverse unseen target domains, making it s…

cs.CV2024

PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection

Xiaoran Xu, Jiangang Yang, Wenhui Shi +3

Single-Domain Generalized Object Detection~(S-DGOD) aims to train on a single source domain for robust performance across a variety of unseen target domains by taking advantage of…

cs.CV2024

Object Gaussian for Monocular 6D Pose Estimation from Sparse Views

Luqing Luo, Shichu Sun, Jiangang Yang +3

Monocular object pose estimation, as a pivotal task in computer vision and robotics, heavily depends on accurate 2D-3D correspondences, which often demand costly CAD models that ma…

cs.CV2019

UG Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

Ye Yuan, Wenhan Yang, Wenqi Ren +3

The UG challenge in IEEE CVPR 2019 aims to evoke a comprehensive discussion and exploration about how low-level vision techniques can benefit the high-level automatic visual…