6th Workshop on Open-World 3D Scene Understanding and Representations
Challenges Open
Paper Submissions Open
Proceedings Track Deadline
Non-Archival Track Deadline
Challenges Deadline
Workshop
Tali Dekel is an Associate Professor at the Faculty of Mathematics and Computer Science at the Weizmann Institute of Science, and a Staff Research Scientist at Google DeepMind. Before that she was a Postdoctoral Associate with Prof. Bill Freeman, at CSAIL, MIT. She completed her Ph.D. in the school of Electrical Engineering of Tel-Aviv University, where she was supervised by Prof. Shai Avidan (TAU) and Prof. Yael Moses (IDC). Her main research interests include images and videos analysis, multi-view systems, 3D structure and motion estimation, image synthesize and rendering.
Djamila Aouada is an Associate Professor at the University of Luxembourg (UL) and the Deputy Director of the Interdisciplinary Centre for Security, Reliability and Trust (SnT). She leads the Computer Vision, Imaging and Machine Intelligence (CVI²) research group, focusing on advancing research in Computer Vision and Machine Learning with emphasis on real-world applications through industrial collaborations.
Aleksander Holynski is a research scientist at Google DeepMind and a professor at Columbia University. Previously, he was a postdoctoral scholar at UC Berkeley (BAIR) working with Alyosha Efros and Angjoo Kanazawa. He did his PhD at the University of Washington, advised by Steve Seitz, Brian Curless, and Rick Szeliski and received his B.S. at the University of Illinois at Urbana-Champaign.
Chelsea Finn is an Assistant Professor in Computer Science and Electrical Engineering at Stanford University and co-founder of Pi. Her lab, IRIS, studies intelligence through robotic interaction at scale, and is affiliated with SAIL and the ML Group. She is interested in the capability of robots and other agents to develop broadly intelligent behavior through learning and interaction. Previously, she completed her Ph.D. in computer science at UC Berkeley and her B.S. in electrical engineering and computer science at MIT.
Andrea Tagliasacchi is an Associate Professor at Simon Fraser University (Vancouver, Canada), where he holds the Visual Computing Research Chair within the School of Computing Science. He is also an Associate Professor in the Department of Computer Science at the University of Toronto. Before joining SFU, Andrea spent several years as a researcher at Google. Prior to that, he was an Assistant Professor at the University of Victoria (2015–2018), where he held the Industrial Research Chair in 3D Sensing, jointly sponsored by Google and Intel. Andrea’s academic background includes a postdoctoral fellowship at EPFL, a PhD from Simon Fraser University (as an NSERC Alexander Graham Bell Fellow), and an MSc from Politecnico di Milano, where he graduated as a gold medalist. His research focuses on 3D visual perception, a field that bridges computer vision, computer graphics, and machine learning.
| Submission Type | Length | In Proceedings | Deadline | Policies |
|---|---|---|---|---|
| Proceedings Track | 8 pages | Yes | Mar 15, 2026 | Anonymous, subject to dual-submission rules. |
| Non-Archival Track | 4 / 8 pages | No | Apr 20, 2026 | Anonymous, may include previously published work. |
All submissions must be anonymous and follow the CVPR 26 author guidelines.
8-page full papers for inclusion in the CVPR workshop proceedings. Those submissions are subject to the dual submission policy, only original work not under review or published elsewhere is allowed.
4-page extended abstracts or 8-page full papers that will not be included in the proceedings. May include previously published work that the authors want to present at the workshop.
We host a 3-track challenge based on the SceneFun3D benchmark and the Articulate3D dataset. The challenge focuses on fine-grained functionality, affordance, and interaction understanding in 3D indoor environments.
Resources
Important Dates
Resources
Important Dates