ICCV 2023: 4th Workshop on Visual Perception for Navigation in Human Environments
The JackRabbot Human Motion Forecasting
The JackRabbot Human Motion Forecasting
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.
We invite researchers to submit their papers addressing topics related to autonomous (robot) navigation in human environments. Relevant topics include, but not limited to:
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.
Submit to our WorkshopWe 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.
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.
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.
Time | Title |
---|---|
08:30 - 08:40 | Introduction |
08:40 - 09:10 | Invited talk |
09:10 - 09:30 | Dataset and Challenge |
09:30 - 10:00 | Invited talk |
10:00 - 10:30 | (Real/Virtual) Coffee break & poster session |
10:30 - 11:00 | Invited talk |
11:00 - 11:30 | Invited talk |
11:30 - 12:00 | Challenge winners presentations |
12:00 - 12:30 | Invited talk |
12:30 - 12:40 | Discussion, Closing Remarks and Awards |
Associate Professor at Stanford University, USA
Assistant Professor at Koc University in Istanbul, Turkey
Valeo VP of AI and Scientific Director of valeo.ai, France
Assistant Professor at UC Berkeley, USA
Assistant Professor at Stanford University, USA
Name | Organization |
---|---|
Andrey Rudenko | Bosch |
Boris Ivanovic | NVIDIA |
Chen Tang | UC Berkeley |
Edwin Pan | Stanford |
Haofei Xu | University of Tübingen - ETH |
Huangying Zhan | InnoPeak Technology |
Mahsa Ehsanpour | niversity of Adelaide |
Mohammadhossein Bahari | EPFL |
Mohsen Fayyaz | Microsoft |
Nathan Tsoi | Yale University |
Shyamal Buch | Stanford |
Sandika Biswas | IIT Bombay - Monash University |
Taylor Mordan | EPFL |
Ye Yuan | NVIDIA |
Monash University
EPFL
The University of Adelaide
Stanford University
EPFL
Monash University
Monash University