CVPR 2026PastComputer vision
How Do Vision Models Work at CVPR 2026 (All Tracks)
HOW 2026
- Submission deadline
- Mar 8, 2026, 11:59 UTCimported from OpenReview — check the website for extensions
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (12)
Fetched from OpenReview (v2) on 2026-06-10.
A Case Study on Hidden Bias in Vision-Language Model Activations
A Mechanistic Analysis of Adversarial Fine-tuning of Vision Transformers
Differences in Detection: Explainability Where it Matters
Faithful Attribution in Vision Transformers via Feature-Gradient Gating
Feature Alignment for Scalable B-cosification of Foundational Vision Transformers
I Walk the Line: Examining the Role of Gestalt Continuity in Object Binding for Vision Transformers
LogitDynamics: Reliable ViT Error Detection from Layerwise Logit Trajectories
MIMIC: Multimodal Inversion for Model Interpretation and Conceptualization
Simple Localized Counterfactuals for Visual Explanation
Toward Faithful Segmentation Attribution via Benchmarking and Dual-Evidence Fusion
Towards Continual Expansion of Data Coverage: Automatic Text-guided Edge-case Synthesis
Why CNN Features Are not Gaussian: A Statistical Anatomy of Deep Representations