Cvpr 2026 Multimodal Graph Reasoning

CVPR 2026

A five-minute video presentation for the

Disentangle-then-Align: Non-Iterative Hybrid

[CVPR 2026 Highlight] Towards Multimodal Domain Generalization with Few Labels

While prior research on

(CVPR 2026) MovieRecapsQA: A Multimodal Open-EndedVideo Question-Answering Benchmark

Brief intro of our paper. Feel free to find more in https://arxiv.org/abs/2511.19972.

As

CVPR 2026

This video presents our

[CVPR 2026] R4 - Retrieval-Augmented Reasoning for Vision-Language Modelsin 4D Spatio-Temporal Space

The flexibility and accuracy of methods for automatically counting objects in images and videos are limited by the way the object ...

Standard

This video presents ReFAct, a framework for

Paper: Bootstrapping Multi-view Learning for Test-time Noisy Correspondence Authors: Changhao He, Di Xue, Shuxian Li, Yanji ...

[CVPR 2026] OddGridBench: Exposing the Lack of Fine-Grained Visual Discrepancy Sensitivity in MLLMs

Learning-based structure-from-motion methods such as ACE-Zero have demonstrated strong performance in estimating camera ...

Rameen Abdal, James Burgess, Sergey Tulyakov, Kuan-Chieh Wang Snap Research , Stanford University ...

CVPR 2026 GPFlow: Gaussian Prototype Probability Flow for Unsupervised Multi-Modal Anomaly Detection