The 4D Vision Workshop was held on August, 23, 2020, virtually, in conjunction with the European Conference on Computer Vision (ECCV'20) in Glasgow, Scotland.

We thank everyone, including our co-organizers, program committee members, invited speakers, panelists and authors for their contributions to this workshop! You can re-watch the workshop recording on the ECCV platform or below.

About & Program

Visual scene understanding is crucial for many practical applications in the real world. A lot of work has focused on 3D scene analysis. Considering the scene also in time, i.e. 4D visual understanding, is key for holistic understanding of the surrounding world. 3D scene analysis, 3D reconstruction, SLAM and others focus on the scene primarily without dynamic objects. At the same time video analysis has provided very advanced methods for understanding visual information in time.

Recent research e.g. in perception for autonomous driving or embodied vision, have also started to consider both aspects of scene analysis. Gleaning insights from scene understanding, video analysis, and 3D modeling and sensing in the realms of both dynamic and static scenes, we hope to shed more light on the topic of 4D vision for scene understanding.

4D-VISION Program

Watch the Recording

Invited Speakers

Raquel Urtasun

University of Toronto

Uber ATG

Michael Ryoo

Stony Brook University

Google Research

Davide Scaramuzza

University of Zurich

ETH Zurich

Marc Pollefeys

ETH Zurich

Microsoft MR&AI Lab Zurich

Xiaolong Wang

UC San Diego

Thomas Funkhouser

Princeton University

Google Research

Accepted Papers


Topics include, but are not limited to:

  • 3D scene understanding

  • Perception for autonomous driving

  • Ego-centric scene understanding

  • Sequence models for scene analysis

  • Video understanding

  • 3D sensing of moving objects

We invite submissions of extended abstracts (up to 4 pages, including figures, and references). The submission should be in the form of a single PDF, using the ECCV conference template. Authors may optionally anonymize their submission. Submitted contributions will go through a single-blind review process.

Accepted abstracts will be presented in a poster session and selected abstracts will also feature as spotlight talks. All contributed abstracts will be made available on the workshop’s website.

Important Dates

  • Abstract Submission Deadline: 16 July, 2020.

  • Reviews due: 4 August, 2020.

  • Notification of Acceptance: 8 August, 2020.

  • Abstract Camera-ready Deadline: 12 August, 2020.

  • Workshop: Sunday 23 August, 2020

Submission site:

Program Committee