CVPR 2026PastMultimodalNeuroscience
The 1st CogVL: Cognitive Foundations for Multimodal Models Workshop at CVPR 2026
CVPR 2026 Workshop CogVL
- Submission deadline
- Mar 7, 2026, 12:00 UTCOpenReview-synced 2026-03-07 12:00 UTC (as of 2026-06-23) — extensions on OpenReview are applied automatically; verify on the website.
- Submission portal
- OpenReview
- Notes
- Topics were auto-suggested and may be imprecise — edits welcome.
Accepted papers (17)
Fetched from OpenReview (v2) on 2026-06-10.
Action Without Interaction: Probing the Physical Foundations of Video LMMs via Contact-Release Detection
Benchmarking Attribute Discrimination in Infant-Scale Vision-Language Models
Can Vision-Language Models Count? A Synthetic Benchmark and Analysis of Attention-Based Interventions
CounterBench: A Controllable Counterfactual Testbed Reveals Systematic Reasoning Failures in Vision-Language Models
CP-VLM: Causal Prompting for Human Intention Inference with Vision–Language Models
Do Vision-Language Models Revise Beliefs or Just Rationalize? Evidence Update Prompting for Non-Monotonic Visual Reasoning
Jailbreaking Vision-Language Models Through the Visual Modality
Knowing When You Don’t Know: Metacognitive Uncertainty Calibration in Vision--Language Models
Latent-Stability Gated SAM: Detecting Hallucinated Segmentations under Domain Shift
Let Androids Dream of Electric Sheep: A Human-Inspired Image Metaphor Understanding and Reasoning Framework
MEBench: A Novel Benchmark for Understanding Mutual Exclusivity Bias in Vision-Language Models
Multimodal Graph-of-Thoughts: Hypothesis-Verification Graphs for Multimodal Reasoning in Vision-Language Models
Relational Visual Similarity
The Perceptual Observatory Characterizing Robustness and Grounding in MLLMs
Think Slow, See Better? Dual-Process Prompting for Vision-Language Model Calibration
VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models
Vision–Language Pretraining with Structured Distractor Augmentation