Accepted Full Papers

Calibration of Network Confidence for Unsupervised Domain Adaptation Using Estimated Accuracy
Coby Penso, Jacob Goldberger
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
Christiaan Viviers, Amaan Valiuddin, Francisco Caetano, Lemar Abdi, Lena Filatova, Peter H.N. de With, Fons van der Sommen
Logit Disagreement: OoD Detection with Bayesian Neural Networks
Kevin Raina
Multi-label out-of-distribution detection via evidential learning
Eduardo Aguilar, Bogdan Raducanu, Petia Radeva
Reliable Probabilistic Human Trajectory Prediction for Autonomous Applications
Manuel Hetzel, Hannes Reichert, Konrad Doll, Bernhard Sick
Sanity Checks for Explanation Uncertainty
Matias Valdenegro-Toro, Mihir Mulye
Sources of Uncertainty in 3D Scene Reconstruction
Marcus Klasson, Riccardo Mereu, Juho Kannala, Arno Solin
TAG: Text Prompt Augmentation for Zero-Shot Out-of-Distribution Detection
Xixi Liu, Christopher Zach
UTrack: Multi-Object Tracking with Uncertain Detections
Edgardo Solano Carrillo, Felix Sattler, Antje Alex, Alexander Klein, Bruno Pereira Costa, Angel Bueno Rodriguez, Jannis Stoppe

Accepted Extended Abstracts

Evidential Transformers for Improved Image Retrieval
Danilo Dordevic, Suryansh Kumar
Parameter-efficient Bayesian Neural Networks for Uncertainty-aware Depth Estimation
Richard D. Paul, Alessio Quercia, Vincent Fortuin, Katharina Nöh, Hanno Scharr
Revealing Uncertainty in Medical Application Using Bayesian Neural Network with Latent Variable Model
Joseph Kihoon Kim, Kyeongbo Kong, Suk-Ju Kang
Tailoring Mixup to Data for Calibration
Quentin Bouniot, Pavlo Mozharovskyi, Florence d'Alché-Buc
Transient Fault Tolerant Semantic Segmentation for Autonomous Driving
Leonardo Iurada, Niccolò Cavagnero, Fernando Fernandes Dos Santos, Giuseppe Averta, Paolo Rech, Tatiana Tommasi
Uncertainty-Adaptive Selection of Sampling-Reconstruction for Fourier Compressed Sensing
Seongmin Hong, Jaehyeok Bae, Jongho Lee, Se Young Chun
Uncertainty-Guided Alignment for Domain Adaptation in Regression
Ismail Nejjar, Gaëtan Frusque, Florent Forest, Olga Fink

Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann, Eric Nalisnick
Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences
Shishir Reddy Vutukur, Rasmus Laurvig Haugaard, Junwen Huang, Benjamin Busam, Tolga Birdal
Gated Temporal Diffusion for Stochastic Long-Term Dense Anticipation
Olga Zatsarynna, Emad Bahrami, Yazan Abu Farha, Gianpiero Francesca, Juergen Gall
MUSES: The Multi-Sensor Semantic Perception Dataset for Driving under Uncertainty
Tim Broedermann, David Brüggemann, Christos Sakaridis, Kevin Ta, Odysseas Liagouris, Jason Corkill, Luc Van Gool
Operational Open-Set Recognition and PostMax Refinement
Steve Cruz, Ryan Rabinowitz, Manuel Günther, Terrance E. Boult
PixOOD: Pixel-Level Out-of-Distribution Detection
Tomas Vojir, Jan Sochman, Jiri Matas