Uncertainty Quantification for Computer Vision

Uncertainty Quantification for Gradient-based Explanations in Neural Networks

Mihir Mulye,

Matias Valdenegro-Toro

[pdf] [supp]

[bibtex]

@InProceedings{Mulye_2025_CVPR, author = {Mulye, Mihir and Valdenegro-Toro, Matias}, title = {Uncertainty Quantification for Gradient-based Explanations in Neural Networks}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1758-1766} }

D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition

Rupayan Mallick,

Sibo Dong,

Nataniel Ruiz,

Sarah Adel Bargal

[pdf]

[bibtex]

@InProceedings{Mallick_2025_CVPR, author = {Mallick, Rupayan and Dong, Sibo and Ruiz, Nataniel and Bargal, Sarah Adel}, title = {D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1728-1737} }

WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts

Shadi Alijani,

Homayoun Najjaran

[pdf]

[bibtex]

@InProceedings{Alijani_2025_CVPR, author = {Alijani, Shadi and Najjaran, Homayoun}, title = {WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1738-1747} }

The Surprising Utility of Group Partitioning in Improving Conformal Prediction of Visual Classifiers under Distributional Shifts

Kowshik Thopalli,

Vivek Narayanaswamy,

Jayaraman J. Thiagarajan

[pdf] [supp]

[bibtex]

@InProceedings{Thopalli_2025_CVPR, author = {Thopalli, Kowshik and Narayanaswamy, Vivek and Thiagarajan, Jayaraman J.}, title = {The Surprising Utility of Group Partitioning in Improving Conformal Prediction of Visual Classifiers under Distributional Shifts}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1748-1757} }

Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties

Jisoo Jeong,

Hong Cai,

Jamie Menjay Lin,

Fatih Porikli

[pdf]

[bibtex]

@InProceedings{Jeong_2025_CVPR, author = {Jeong, Jisoo and Cai, Hong and Lin, Jamie Menjay and Porikli, Fatih}, title = {Improving Optical Flow and Stereo Depth Estimation by Leveraging Uncertainty-Based Learning Difficulties}, booktitle = {Proceedings of the Computer Vision and Pattern Recognition Conference (CVPR) Workshops}, month = {June}, year = {2025}, pages = {1718-1727} }