Accepted Papers

Best Paper

ID 3: Maximum Entropy Information Bottleneck for Uncertainty-aware Stochastic Embedding

Sungtae An (Georgia Institue of Technology ); Nataraj Jammalamadaka (Amazon); Eunji Chong (Amazon)


Long Oral + Poster


ID 1: Revealing Hidden Context Bias in Segmentation and Object Detection through Concept-specific Explanations

Maximilian Dreyer (Fraunhofer HHI); Reduan Achtibat (Fraunhofer HHI); Thomas Wiegand (Fraunhofer-Institut für Nachrichtentechnik, Heinrich-Hertz-Institut, HHI); Wojciech Samek (Fraunhofer HHI); Sebastian Lapuschkin (Fraunhofer Heinrich Hertz Institute)


ID 2: RL-CAM: Visual Explanations for Convolutional Networks using Reinforcement Learning

Soumyendu Sarkar (Hewlett Packard Enterprise); Ashwin Ramesh Babu (Hewlett Packard Enterprise Labs); Sajad Mousavi (Hewlett Packard Enterprise); Vineet Gundecha (Hewlett Packard Enterpise); Sahand Ghorbanpour (Hewlett Packard Enterprise); Ricardo Luna Gutierrez (Hewlett Packard Enterprise); Antonio Guillen (Hewlett Packard Enterprise); Avisek Naug (Hewlett Packard Enterprise)


ID 3: Maximum Entropy Information Bottleneck for Uncertainty-aware Stochastic Embedding

Sungtae An (Georgia Institue of Technology ); Nataraj Jammalamadaka (Amazon); Eunji Chong (Amazon)


ID 4: Optimizing Explanations by Network Canonization and Hyperparameter Search

Frederik Pahde (Fraunhofer Heinrich Hertz Institute); Galip Ü. Yolcu (Fraunhofer HHI); Alexander Binder (University of Oslo); Wojciech Samek (Fraunhofer HHI); Sebastian Lapuschkin (Fraunhofer Heinrich Hertz Institute)


ID 5: Beyond AUROC & co for evaluating out-of-distribution detection performance

Galadrielle Humblot-Renaux (Aalborg University); Sergio Escalera (); Thomas B. Moeslund (Aalborg University)


Short Oral + Poster 


ID 6: Uncovering the Inner Workings of STEGO for Safe Unsupervised Semantic Segmentation

Alexander Koenig (Merantix Momentum GmbH); Maximilian Schambach (Merantix Momentum); Johannes Otterbach (Merantix Momentum GmbH)


ID 7: Coherent Concept-based Explanations in Medical Image and Its Application to Skin Lesion Diagnosis

Cristiano Patrício (Universidade da Beira Interior); João Neves (Tomiworld); Luis Teixeira (INESC TEC and University of Porto)


ID 8: Investigating CLIP Performance for Meta-data Generation in AD Datasets

Sujan Gannamaneni (Fraunhofer IAIS); Arwin Sadaghiani (Fraunhofer IAIS); Rohil Prakash Rao (Uni Bonn); Michael Mock (Fraunhofer IAIS); Maram Akila (Fraunhofer IAIS)


ID 9: A Novel Benchmark for Refinement of Noisy Localization Labels in Autolabeled Datasets for Object Detection

Andreas Bär (Technische Universität Braunschweig)*; Jonas Uhrig (Mercedes-Benz); Jeethesh Pai Umesh (TU Braunschweig); Marius Cordts (Mercedes-Benz AG); Tim Fingscheidt ( Technische Universität Braunschweig)


ID 10: Category Differences Matter: A Broad Analysis of Inter-Category Error in Semantic Segmentation

Jingxing Zhou (Porsche Engineering Services GmbH); Jürgen Beyerer (Fraunhofer IOSB)


ID 11: Interpretable Model-Agnostic Plausibility Verification for 2D Object Detectors Using Domain-Invariant Concept Bottleneck Models

Mert Keser (TUM); Gesina Schwalbe (Continental Automotive GmbH); Azarm Nowzad (Continental); Alois Knoll (Technical University of Munich)

Poster Size

Poster Printing Service: 

https://cvpr2023.thecvf.com/Conferences/2023/PosterPrintingInformation