[TPAMI 2025] Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
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Updated
Dec 6, 2025 - Python
[TPAMI 2025] Benchmarking and Improving Bird's Eye View Perception Robustness in Autonomous Driving
Environment Inference for Learning Generalizable Dynamical System (DynaInfer), NeurIPS 2025 Spotlight
[NeurIPS 2025] Official code for "Tropical Attention: Neural Algorithmic Reasoning for Combinatorial Algorithms"
The official implementation of Delta Energy: Optimizing Energy Change During Vision-Language Alignment Improves both OOD Detection and OOD Generalization (NeurIPS2025)
Source Code for Our ICML-2025 Paper "Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning"
Masking Strategies for Background Bias Removal in Computer Vision Models (ICCVW OODCV 2023 paper)
Möbius Transform for Mitigating Perspective Distortions in Representation Learning (ECCV 2024)
[ICML 2025] OOD-Chameleon: Is Algorithm Selection for OOD Generalization Learnable?
Official code for the paper: "When and How Does CLIP Enable Domain and Compositional Generalization?" (ICML 2025 Spotlight)
[CVPR 2024] Improving out-of-distribution generalization in graphs via hierarchical semantic environments
[Science Advances] Demographic Bias of Vision-Language Foundation Models in Medical Imaging
Code for the Conditional Mutual Information-Debiasing (CMID) method.
[Nature Medicine] The Limits of Fair Medical Imaging AI In Real-World Generalization
Source Code for Our NeurIPS-2024 Paper "What Variables Affect Out-of-Distribution Generalization in Pretrained Models?"
[ECCV Workshops 2024] BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation
The value of out-of-distribution data (ICML 2023)
[WACV 2024] Domain Generalisation via Risk Distribution Matching
[CVPR 2024] Source code for "Diffusion-Based Adaptation for Classification of Unknown Degraded Images".
[KDD 2023] Causal Inference via Style Transfer for Out-of-distribution Generalisation
[NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li, Peng Fu, Yanan Cao, Weiping Wang, Jie Zhou
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