Accepted Full Papers

• Does Marginal Coverage Guarantee Class-Conditional Safety for Zero-Shot VLMs Under Shift?
  Jai Kumar Sharma, Amartya Dutta
• Uncertainty-Aware Trajectory Forecasting from Imperfect Tracking
  Stephane Da Silva Martins, Victor Petrovic, Emanuel Aldea, Sylvie Le Hégarat-Mascle

Accepted Extended Abstracts

• Auto3R: Automated 3D Reconstruction and Scanning via Data-driven Uncertainty Quantification
  Xiangru Huang, Sizhe Zheng, Bingqian Wu, Yaohua Feng, Yuanchen Fei, Mingyu Mei, Hanwen Jiang
• Decompose, Compare, and Decide: Multimodal LLMs are Implicit Few-Shot Learners
  Yunhan Wang, Eshika Khandelwal, Edson Araujo, Walid Bousselham, Nina Shvetsova, Hilde Kuehne
• Ensembling Pruned Attention Heads For Uncertainty-Aware Efficient Transformers
  Firas Gabetni, Giuseppe Curci, Andrea Pilzer, Subhankar Roy, Elisa Ricci, Gianni Franchi
• Modality-Aware Out-of-Distribution Detection for Multi-Modal Action Recognition
  Lars Doorenbos, Duc Manh Vu, Serdar Ozsoy, Juergen Gall
• Open-Set Domain Adaptation Under Background Distribution Shift
  Shravan S Chaudhari, Yoav Wald, Suchi Saria
• PUF: Plug-and-Play Uncertainty-Aware Fusion for Online 3D Scene Graph Generation
  Michael Ying Yang, Myrna Castillo, Bodo Rosenhahn
• Rank-Dropout LoRA for Parameter-Efficient Uncertainty Estimation
  Srinivas Anumasa

Accepted Posters

• A Systematic Comparison of Training Objectives for Out-of-Distribution Detection in Image Classification
  Furkan Genc, Onat Ozdemir, Emre Akbas
• Spatially Adaptive Noise Injection
  Frantzeska Lavda, Maciej Falkiewicz, Van Khoa Nguyen, Alexandros Kalousis