36 citations · 36 across the 7 of their papers we have counts for
7 papers
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…
Robustness Emerges Early in Training Dynamics, but Is Not Preserved
Jiangang Yang, Wenhui Shi, Lu Hu +2
Robustness to natural corruptions remains a fundamental challenge for deep neural networks. In this paper, we identify a robustness fading phenomenon where shallow layers spontaneo…
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…
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…
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…
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…
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…