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