Workshop Goals

Welcome to the fourth workshop in the JRDB series! Our workshops are designed to tackle perceptual problems that arise when autonomous robots operate, interact, and navigate in human environments including human detection, tracking, forecasting, and body pose estimation, as well as social grouping and activity recognition.

In this workshop, we are excited to explore the challenging task of human motion forecasting in dynamic and unpredictable environments. We will introduce a new competition that challenges participants to develop models capable of accurately predicting human trajectories using the JRDB dataset. We have also invited speakers from the field of visual perception and prediction to offer valuable insights into understanding human action and behavior.

Call for Papers

Submissions

Full-paper are limited to eight pages, including figures and tables, in the ICCV style. Additional pages containing only cited references are allowed. For more information please refer the guidelines provided by the ICCV here. Accepted papers have the opportunity to be presented as a poster during the workshop. However, only papers in ICCV format will appear in the proceedings. By submitting to this workshop, the authors agree to the review process and understand that we will do our best to match papers to the best possible reviewers. The reviewing process is double-blind. Submission to the challenge is independent of the paper submission, but we encourage the authors to submit to one of the challenges.

Submissions can be made here. If you have any questions about submitting, please contact us here.

Open Challenge

(More information will be provided later)

We are organizing a new challenge on Human Trajectory Forecasting.

The winners will have the opportunity to present their work as a spotlight (5 minutes) and poster presentation during the workshop. However, there is no prize for the challenge, at least not yet.

Guidelines for participation

Participants must strictly adhere to the submission policy provided on the main JRDB webpage, which can be found here. To differentiate challenge submissions from other regular submissions, each submission name should be followed by an ICCV23 tag, e.g., "submissionname_ICCV23". Submissions without this tag will not be considered for the challenge.

Evaluation & Toolkit

We use the first metric after "name" in all the leaderboards as the main evaluation for ranking the entries. For each benchmark, we have also created toolkits to work with the dataset, perform evaluation, and create submissions. These toolkits are available at here.

The challenge deadline is September 8.

Program

Invited Speakers

Marco Pavone

Associate Professor at Stanford University, USA

Fatma Güney

Assistant Professor at Koc University in Istanbul, Turkey

Patrick Pérez

Valeo VP of AI and Scientific Director of valeo.ai, France

Angjoo Kanazawa

Assistant Professor at UC Berkeley, USA

Ehsan Adeli

Assistant Professor at Stanford University, USA

Program Committee

Organizers

Hamid Rezatofighi

Monash University

Alexandre Alahi

EPFL

Ian Reid

The University of Adelaide

Silvio Savarese

Stanford University

Saeed Saadatnejad*

EPFL

Simindokht Jahangard

Monash University

Duy Tho Le

Monash University

* Corresponding organizer. For inquiries, please contact.