Computer Vision/CORE Unranked

CVPRW URVIS 2026

CVPR 2026 URVIS Workshop

Jun 03 2026Denver, United StatesOfficial workshop site Site reachable

The URVIS Workshop at CVPR 2026 focuses on unified robotic vision through cross-modal sensing and alignment, integrating RGB, depth, LiDAR, event cameras, audio, and tactile data to enable robust perception under partial or missing modalities. It brings together researchers to advance multimodal learning, sensor fusion, and embodied AI for real-world robotic deployment.

Official CFP Back to deadlines Verified September 9, 2026

Key deadlines

Verified September 9, 2026

Full paper

March 20, 2026

AoE

Workshop timeline

Submission and decisions

Full paperKey deadline

March 20, 2026 · AoE

Paper fit

Contribution paths

A strong submission should clearly identify its contribution and evaluate it appropriately.

Regular Paper Submissions

Original research contributions on multisensor and multimodal perception, learning, and reasoning for robotics and embodied AI; accepted papers will be published in the CVPRW Proceedings and must comply with standard CVPRW formatting guidelines.

Research areas in scope

Topics of Interest

Multisensor and multimodal data fusion (early, late, hybrid, adaptive fusion)Cross-modal alignment, correspondence, and synchronizationMultimodal representation learning and embedding spacesVision-based perception for robotics and autonomous systemsRGB-D, RGB-T, event-based, LiDAR, radar, audio, tactile, and proprioceptive sensingEvent cameras, neuromorphic sensing, and spiking neural networksMultimodal foundation models and large-scale pretrainingSelf-supervised, weakly supervised, and unsupervised multimodal learningMultimodal tracking, detection, segmentation, and 3D understandingSensor calibration, registration, and geometric consistencyUncertainty modeling, probabilistic fusion, and reliability-aware perceptionLearning under missing, degraded, or noisy modalitiesCross-domain and cross-sensor generalizationOnline, continual, and lifelong multimodal learningMultimodal perception for manipulation, navigation, and human-robot interactionMultimodal SLAM, mapping, and localizationMultimodal perception for autonomous driving and mobile robotsEfficient, real-time, and resource-aware multimodal systemsSimulation-to-real transfer and multimodal domain adaptationBenchmark datasets, evaluation protocols, and reproducible research

Policies worth checking twice

All submissions will undergo a double-blind peer-review process.
Accepted papers must comply with the standard CVPRW formatting guidelines.
Submissions must follow the official CVPR Workshops submission pipeline.

Official sources

Compiled from the official call for papers. The organizers’ pages remain authoritative.

Official workshop site

Last verified September 9, 2026