Accepted Full Papers

• D-Feat Occlusions: Diffusion Features for Robustness to Partial Visual Occlusions in Object Recognition
  Rupayan Mallick, Sibo Dong, Nataniel Ruiz, Sarah Adel Bargal
• Improving Optical Flow and Stereo Depth Estimation by understanding learning difficulties
  Jisoo Jeong, Hong Cai, Jamie Menjay Lin, Fatih Porikli
• The Surprising Utility of Group Partitioning in Improving Conformal Prediction of Visual Classifiers under Distributional Shifts
  Kowshik Thopalli, Vivek Narayanaswamy, Jayaraman J. Thiagarajan
• Uncertainty Quantification for Gradient-based Explanations in Neural Networks
  Mihir Mulye, Matias Valdenegro-Toro
• WQLCP: Weighted Adaptive Conformal Prediction for Robust Uncertainty Quantification Under Distribution Shifts
  Shadi Alijani, Homayoun Najjaran

Accepted Extended Abstracts

• Centaur: Robust End-to-End Autonomous Driving with Test-Time Training
  Chonghao Sima, Kashyap Chitta, Zhiding Yu, Shiyi Lan, Ping Luo, Andreas Geiger, Hongyang Li, Jose M. Alvarez
• Compositional Targeted Multi-Label Universal Perturbations
  Hassan Mahmood, Ehsan Elhamifar
• Consensus-Driven Active Model Selection
  Justin Kay, Grant Van Horn, Subhransu Maji, Daniel Sheldon, Sara Beery
• Consensus-Driven Active Model Selection
  Justin Kay, Grant Van Horn, Subhransu Maji, Daniel Sheldon, Sara Beery
• HARMONY: Hidden Activation Representations and Model Output-Aware Uncertainty Estimation for Vision-Language Models
  Erum Mushtaq, Zalan Fabian, Yavuz Faruk Bakman, Anil Ramakrishna, Mahdi Soltanolkotabi, Salman Avestimehr
• Quantile UQNet: A Conformal, Nonlinear Scaling Model for Uncertainty Prediction
  Cassandra Tong Ye, Tyler King, Kristina Monakhova
• Spatially-Aware Evaluation of Segmentation Uncertainty
  Tal Zeevi, Eléonore V. Lieffrig, Lawrence H. Staib, John A Onofrey
• View-Dependent Uncertainty Estimation of 3D Gaussian Splatting
  Chenyu Han, Corentin Dumery

Accepted Posters

• Conformal Object Detection by Sequential Risk Control
  Léo Andéol
• Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
  Sayak Nag, Udita Ghosh
• DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection
  Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu, Yue Zhao
• Detecting Out-of-distribution through the Lens of Neural Collapse
  Litian Liu, Yao Qin
• Dual Energy-Based Model with Open-World Uncertainty Estimation for Out-of-distribution Detection
  Qi Chen, Hu Ding
• Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection
  Wenxi Chen, Raymond A. Yeh, Shaoshuai Mou, Yan Gu
• LoTUS: Large-Scale Machine Unlearning with a Taste of Uncertainty
  Christoforos N. Spartalis, Theodoros Semertzidis, Efstratios Gavves, Petros Daras
• OpenMIBOOD: Open Medical Imaging Benchmarks for Out-Of-Distribution Detection
  Max Gutbrod, David Rauber, Danilo Weber Nunes, Christoph Palm
• PUP 3D-GS: Principled Uncertainty Pruning for 3D Gaussian Splatting
  Alex Hanson, Allen Tu, Vasu Singla, Mayuka Jayawardhana, Matthias Zwicker, Tom Goldstein
• ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
  Erik Wallin, Fredrik Kahl, Lars Hammarstrand
• Unified Uncertainty-Aware Diffusion for Multi-Agent Modeling
  Guillem Capellera, Antonio Rubio, Luis Ferraz, Antonio Agudo