Accepted Full Papers

• A Simple and Explainable Method for Uncertainty Estimation using Attribute Prototype Networks
  Claudius Zelenka, Andrea Göhring, Daniyal Kazempour, Maximilian Hünemörder, Lars Schmarje, Peer Kröger
• A Unified Approach to Learning with Label Noise and Unsupervised Confidence Approximation
  Navid Rabbani, Adrien Bartoli
• Adversarial Attacks Against Uncertainty Quantification
  Emanuele Ledda, Daniele Angioni, Giorgio Piras, Giorgio Fumera, Battista Biggio, Fabio Roli
• Biased Class disagreement: detection of out of distribution instances by using differently biased semantic segmentation models.
  Roberto Alcover-Couso, Juan C. SanMiguel, Marcos Escudero-Viñolo
• Calibrated Out-of-Distribution Detection with a Generic Representation (Oral)
  Tomas Vojir, Jan Sochman, Rahaf Aljundi, Jiri Matas
• DELO: Deep Evidential LiDAR Odometry using Partial Optimal Transport
  Sk Aziz Ali, Djamila Aouada, Gerd Reis, Didier Stricker
• Distance matters for improving performance estimation under covariate shift
  Mélanie Roschewitz, Ben Glocker
• Dual-level Interaction for Domain Adaptive Semantic Segmentation
  Dongyu Yao, Boheng Li
• Exploring Inlier and Outlier Specification for Improved Medical OOD Detection
  Vivek Narayanaswamy, Yamen Mubarka, Rushil Anirudh, Deepta Rajan, Jayaraman J. Thiagarajan
• Far Away in the Deep Space: Dense Nearest-Neighbor-Based Out-of-Distribution Detection (Oral)
  Silvio Galesso, Max Argus, Thomas Brox
• Gaussian Latent Representations for Uncertainty Estimation using Mahalanobis Distance in Deep Classifiers (Oral)
  Aishwarya Venkataramanan, Assia Benbihi, Martin Laviale, Cédric Pradalier
• Identifying Out-of-Domain Objects with Dirichlet Deep Neural Networks
  Ahmed Hammam, Frank Bonarens, Seyed Eghbal Ghobadi, Christoph Stiller
• Probabilistic MIMO U-Net: Efficient and Accurate Uncertainty Estimation for Pixel-wise Regression (Oral)
  Anton Baumann, Thomas Roßberg, Michael Schmitt
• Uncle-SLAM: Uncertainty Learning for Dense Neural SLAM
  Erik Sandström, Kevin Ta, Martin R. Oswald, Luc Van Gool

Accepted Extended Abstracts

• A comparison of Uncertainty Quantification methods for Earth Observation Image Regression data
  Nils Lehmann, Nina Maria Gottschling, Stefan Depeweg, Eric Nalisnick
• Adaptive Bounding Box Uncertainty via Conformal Prediction
  Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick
• An Empirical Investigation of Pretrained Model Selection for Out-of-Distribution Generalization and Calibration
  Hiroki Naganuma, Ryuichiro Hataya
• AugCal: Improving Sim2Real Adaptation by Uncertainty Calibration on Augmented Synthetic Images
  Prithvijit Chattopadhyay, Bharat Goyal, Boglarka Ecsedi, Viraj Uday Prabhu, Judy Hoffman
• Beyond accuracy : confidence score calibration in deep-learning classification models for camera trap images and sequences
  Gaspard Dussert, Simon Chamailé-Jammes, Stéphane Dray, Vincent Miele
• DAC: Detector-Agnostic Spatial Covariances for Deep Local Features
  Javier Tirado-Garín, Frederik Rahbæk Warburg, Javier Civera
• Identifying Important Group of Pixels using Interactions
  Kosuke Sumiyasu, Kazuhiko Kawamoto, Hiroshi Kera
• Low-Quality Image Detection by Hierarchical VAE
  Tomoyasu Nanaumi, Kazuhiko Kawamoto, Hiroshi Kera
• On the Interplay of Curvature, Calibration and Out-of-Distribution Generalization: Insights from SAM and Focal Loss Analyses
  Hiroki Naganuma, Masanari Kimura
• On the detection of Out-Of-Distribution samples in Multiple Instance Learning
  Loïc Le Bescond, Maria Vakalopoulou, Stergios Christodoulidis, Fabrice André, Hugues Talbot
• Two-Step Active Learning for Instance Segmentation with Uncertainty and Diversity Sampling
  Ke Yu, Stephen Albro, Giulia DeSalvo, Suraj Nandkishor Kothawade, Abdullah Rashwan, Sasan Tavakkol, kayhan Batmanghelich, Xiaoqi Yin
• Tyche: Stochastic In-Context Learning Model for Medical Image Segmentation
  Marianne Rakic, Jose Javier Gonzalez Ortiz, Hallee E. Wong, Adrian V Dalca, John Guttag
• XVO: Generalized Visual Odometry via Cross-Modal Self-Training
  Lei Lai, Zhongkai Shangguan, Jimuyang Zhang, Eshed Ohn-Bar