eXCV Workshop at ICCV 2025
eXCV Workshop at ICCV 2025
About
Program
Invited Speakers
Accepted Papers
Proceedings Track
Early Stage Track
Nectar Track
Organization
Organizing Team
Reviewers
Sponsors
Contact
Calls
Call for Open-Mic Opinions
Call for Papers
Past Workshops
ECCV 2024
Publications
Type
Proceedings Track
Non-Proceedings Track
Date
2025
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
Md Yousuf Harun
,
Kyungbok Lee
,
Jhair Gallardo
,
Giri P Krishnan
,
Christopher Kanan
Paper
Code
VITAL: More Understandable Feature Visualization through Distribution Alignment and Relevant Information Flow
Ada Görgün
,
Bernt Schiele
,
Jonas Fischer
Paper
Code
Vision language models fail to translate detailed visual features into words
Pooyan Rahmanzadehgervi
,
Logan Bolton
,
Mohammad Reza Taesiri
,
Anh Totti Nguyen
Paper
Poster
Vision language models are blind
Pooyan Rahmanzadehgervi
,
Logan Bolton
,
Mohammad Reza Taesiri
,
Anh Totti Nguyen
Paper
Poster
Very Short and Accurate Explanations by Design
Prisha Shroff
,
Hancheng Min
,
Rene Vidal
Paper
Poster
Unmasking the functionality of early layers in VLMs
Max Hartman
,
Vidhata Jayaraman
,
Moulik Choraria
,
Akhil Bhimaraju
,
Lav R. Varshney
Paper
Poster
Towards Safer and Understandable Driver Intention Prediction
Mukilan Karuppasamy
,
Shankar Gangisetty
,
Shyam Nandan Rai
,
Carlo Masone
,
C.V. Jawahar
Paper
Toward a Principled Theory of XAI via Spectral Analysis
Amir Mehrpanah
,
Matteo Gamba
,
Hossein Azizpour
Paper
Poster
Supplementary
The Myth of Robust Classes: How Shielding Skews Perceived Stability
Ananyapam De
,
Benjamin Säfken
Paper
Poster
TAB: Transformer Attention Bottlenecks enable User Intervention and Debugging in Vision-Language Models
Pooyan Rahmanzadehgervi
,
Hung Nguyen
,
Rosanne Liu
,
Long Mai
,
Anh Totti Nguyen
Paper
Poster
SUB: Benchmarking CBM Generalization via Synthetic Attribute Substitutions
Jessica Bader
,
Leander Girrbach
,
Stephan Alaniz
,
Zeynep Akata
Paper
Semantic Resonance Maps: Cross-Modal Oscillations for Explainable Vision-Language Model Interpretability
Nevasini Sasikumar
Paper
Rethinking Explainer Trust: A Position on the Inconsistencies of Visual Explanations in Weakly Supervised Segmentation
Ayush Somani
,
Dilip K. Prasad
Paper
Poster
Patch-wise Retrieval: An Interpretable Instance-Level Image Matching
Wonseok Choi
,
Sohwi Lim
,
Nam Hyeon-Woo
,
Moon Ye-Bin
,
Dong-ju Jeong
,
Jinyoung Hwang
,
Tae-Hyun Oh
Paper
Poster
Supplementary
Video
LucidPPN: Unambiguous Prototypical Parts Network for User-centric Interpretable Computer Vision
Mateusz Pach
,
Koryna Lewandowska
,
Jacek Tabor
,
Bartosz Michał Zieliński
,
Dawid Damian Rymarczyk
Paper
Poster
LR0.FM: Low-Res Benchmark and Improving Robustness for Zero-Shot Classification in Foundation Models
Priyank Pathak
,
Shyam Marjit
,
Shruti Vyas
,
Yogesh S Rawat
Paper
Keep the Faith: Faithful Explanations in Convolutional Neural Networks for Case-Based Reasoning
Tom Nuno Wolf
,
Fabian Bongratz
,
Anne-Marie Rickmann
,
Sebastian Pölsterl
,
Christian Wachinger
Paper
Poster
Supplementary
Is CLIP ideal? No. Can we fix it? Yes!
Raphi Kang
,
Yue Song
,
Georgia Gkioxari
,
Pietro Perona
Paper
Interpretable Open-Vocabulary Referring Object Detection with Reverse Contrast Attention
Drandreb Earl O. Juanico
,
Rowel Atienza
,
Jeffrey Kenneth Go
Paper
Poster
Supplementary
Video
Code
Hallucinatory Image Tokens: A Training-free EAZY Approach on Detecting and Mitigating Object Hallucinations in LVLMs
Liwei Che
,
Tony Qingze Liu
,
Jing Jia
,
Weiyi Qin
,
Ruixiang Tang
,
Vladimir Pavlovic
Paper
Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations
Dahee Kwon
,
Sehyun Lee
,
Jaesik Choi
Paper
Poster
Gradient-based Visual Explanation for Transformer-based CLIP
Chenyang Zhao
,
Kun Wang
,
Xingyu Zeng
,
Rui Zhao
,
Antoni B. Chan
Paper
GFR-CAM: Gram-Schmidt Feature Reduction for Hierarchical Class Activation Maps
Kaveh Safavigerdini
,
Bahram Yaghooti
,
Amir Erfan Zareei Shams Abadi
,
Kannappan Palaniappan
Paper
Poster
Explaining Object Detection Through Difference Map
Shujun Xia
,
Chenyang ZHAO
,
Antoni B. Chan
Paper
Poster
Do VLMs Have Bad Eyes? Diagnosing Compositional Failures via Mechanistic Interpretability
Ashwath Vaithinathan Aravindan
,
Abha Jha
,
Mihir Nitin Kulkarni
Paper
Poster
DCBM: Data-Efficient Visual Concept Bottleneck Models
Katharina Prasse
,
Patrick Knab
,
Sascha Marton
,
Christian Bartelt
,
Margret Keuper
Paper
Poster
Video
Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
Md Yousuf Harun
,
Jhair Gallardo
,
Christopher Kanan
Paper
CoCo-Bot: Energy-based Composable Concept Bottlenecks for Interpretable Generative Models
Sangwon Kim
,
In-su Jang
,
Pyongkun Kim
,
Kwang-Ju Kim
Paper
Poster
Causal Interpretation of Sparse Autoencoder Features in Vision
Sangyu Han
,
Yearim Kim
,
Nojun Kwak
Paper
Poster
BayesSDF: Surface-Based Laplacian Uncertainty Estimation for 3D Geometry with Neural Signed Distance Fields
Rushil Paresh Desai
Paper
As large as it gets: Learning infinitely large Filters via Neural Implicit Functions in the Fourier Domain
Julia Grabinski
,
Janis Keuper
,
Margret Keuper
Paper
Code
AIM: Amending Inherent Interpretability via Self-Supervised Masking
Eyad Alshami
,
Shashank Agnihotri
,
Bernt Schiele
,
Margret Keuper
Paper
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