Overview
Welcome to our DexHAND@ECCV26.We are very happy to organize DexHAND workshop. This year's workshop will be held at ECCV26. See you in Malmö, Sweden.
During this workshop, we will focus on hands—including visual hands (e.g., hand perception, pose estimation) and dexterous hands (e.g., robotic manipulation, control), with a special focus on how visual hands enable and enhance fine-grained dexterous hand control, action, and manipulation . Specifically, vision could provide the essential perception capabilities by observing, and enable learning by mimicking human hands for accurate dexterous hand acting with objects. Observing and acting as dexterous hands could drive innovation in real-time perception, 3D vision, video analysis, and embodied AI, establishing dexterous hand manipulation as a key domain for testing and generalizing computer vision technologies. We will explore hands in the context of VLA models and world models through the talks of invited speakers, the presentation of accepted papers, and workshop challenges.
During the workshop, we will explore multimodal LLMs for hand-related tasks through the talks of invited speakers, the presentation of accepted papers, and workshop challenges.
Invited Speakers
TBD
Schedule
TBD
Call for Papers
We will call for full-length submissions with published proceedings. Also, we will invite submission of extended abstracts and recent hand-related papers/posters to the workshop.
Important Dates
| TBD | Paper Submission Start |
| TBD | Full Length Paper and its Supplementary Materials Submission Deadline | TBD | Full Length Paper Author Notification |
| TBD | Full Length Paper Camera-ready Submission Deadline |
| TBD | Extended Abstracts & Posters Submission Deadline |
| TBD | Extended Abstracts & Posters Submission Notification |
| TBD | Extended Abstracts & Posters Camera-ready Deadline |
| TBD | Invited Extended Abstracts & Posters & Technical Report Deadline |
Topics
We will cover all hand-related topics. The relevant topics include and not limited to:- Hand pose and shape estimation
- Hand modeling, rendering, generation
- Hand detection/segmentation
- Hand gesture/action recognition
- Hand/object interactions
- Robotic grasping and manipulation
- Multimodal sensor (e.g.,, vision, tactile and language) fusion for hand
- Hand motion planning and control
- Vision-Language-Action (VLA) models for dexterous hands
- World models with hand
- Self-/un-/weakly-supervised learning
- Generalization and adaptation
- Egocentric vision for hand
Submission Guidelines
TBD
Organizers
Kailin Li Shanghai AI Laboratory
Qiuxia Lin Nanyang Technological University
Patrick Rim Yale University
Linlin Yang Communication University of China
Lixin Yang Shanghai Jiao Tong University
Qi Ye Zhejiang University
Senior Organizers
Hyung Jin Chang University of Birmingham
Kun He Meta Reality Labs
Yoichi Sato University of Tokyo
Angela Yao National University of Singapore
Contact
dexhand2026@googlegroups.com
