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