The 3rd Autonomous Vehicle Vision (AVVision) Workshop aims to bring together industry professionals and academics to brainstorm and exchange ideas on the advancement of computer vision techniques for autonomous driving. In this one-day workshop, we will have seven keynote talks and regular paper presentations (oral and poster) to discuss the state of the art as well as existing challenges in autonomous driving.



General Chairs

Rui Ranger Fan

Tongji University

Nemanja Djuric


Wenshuo Wang

McGill University

Peter Ondruska


Jie Li

Toyota Research Institute

Program Committee

David J. Kriegman UC San Diego Qijun Chen Tongji University Walterio Mayol-Cuevas Uni. of Bristol & Amazon Xinchen Yan Uber ATG Xiang Gao Idriverplus Ming Liu HKUST Jianping He SJTU Junhao Xiao NUDT Kai Han Uni. of Bristol Hesham Eraqi American University in Cairo Wenshuo Wang McGill University Yue Wang Zhejiang University Nachuan Ma Tongji University Jiahe Fan Beijing Institute of Technology

Joshua Manela Waymo Dequan Wang UC Berkeley Sen Jia Uni. of Waterloo Yi Zhou HKUST Mohammud J. Bocus Uni. Of Bristol Lei Qiao SJTU Peng Yun HKUST Meng Fan Aurora Hengli Wang HKUST Yuan Wang SmartMore Henggang Cui Motional Zhuwen Li Nuro Inc. Yun Peng Tongji University Meet Shah Waymo

Shangxuan Waymo Lingyao Zhang Aurora Carl Wellington Aurora Huaiyang Huang HKUST Shivam Gautam Aurora Weikai Chen Tencent America Peide Cai HKUST Bohuan Xue HKUST Slobodan Vucetic Temple University Zhaoen Su Aurora Fang-Chieh Chou Aurora Shuai Su Tongji University Yi Feng Tongji University Jiayuan Du Tongji University Nick Rhinehard UC Berkeley


Call for papers
With a number of breakthroughs in autonomous system technology over the past decade, the race to commercialize self-driving cars has become fiercer than ever. The integration of advanced sensing, computer vision, signal/image processing, and machine/deep learning into autonomous vehicles enables them to perceive the environment intelligently and navigate safely. Autonomous driving is required to ensure safe, reliable, and efficient automated mobility in complex uncontrolled real-world environments. Various applications range from automated transportation and farming to public safety and environment exploration. Visual perception is a critical component of autonomous driving. Enabling technologies include: a) affordable sensors that can acquire useful data under varying environmental conditions, b) reliable simultaneous localization and mapping, c) machine learning that can effectively handle varying real-world conditions and unforeseen events, as well as “machine-learning friendly” signal processing to enable more effective classification and decision making, d) hardware and software co-design for efficient real-time performance, e) resilient and robust platforms that can withstand adversarial attacks and failures, and f) end-to-end system integration of sensing, computer vision, signal/image processing and machine/deep learning. The 2nd AVVision workshop will cover all these topics. Research papers are solicited in, but not limited to, the following topics:

Important Dates
Submission Guidelines
Regular papers: Authors are encouraged to submit high-quality, original (i.e., not been previously published or accepted for publication in substantially similar form in any peer-reviewed venue including journal, conference or workshop) research. The paper template is identical to the ECCV 2022 main conference. Papers are limited to eight pages, including figures and tables, in the ECCV style. Additional pages containing only cited references are allowed. Please refer to the following files for detailed formatting instructions:

Papers that are not properly anonymized, or do not use the template, or have more than eight pages (excluding references) will be rejected without review. The submission site is now open.

Extended abstracts: We encourage participants to submit preliminary ideas that have not been published before as extended abstracts. These submissions would benefit from additional exposure and discussion that can shape a better future publication. We also invite papers that have been published at other venues to spark discussions and foster new collaborations. Submissions may consist of up to four pages plus one additional page solely for references (using the template detailed above). The extended abstracts will NOT be published in the workshop proceedings.
Accepted Papers

Program (Eastern Time)

Opening Remark: 07:00--07:05

Keynote Session I: 07:05--08:25

07:05--07:45 Andreas Geiger
07:45--08:25 Fisher Yu

Oral Paper Session I: 08:25--09:25

Keynote Session II: 09:25--10:45

09:25--10:05 Raquel Urtasun
10:05--10:45 Matthew Johnson-Roberson

Poster Paper Session: 10:45--13:25

Lunch Break: 13:25--13:55

Keynote Session III: 13:55--15:55

13:55--14:35 Laura Leal-Taixé
14:35--15:15 Cordelia Schmid
15:15--15:55 Carl Wellington

Oral Paper Session II: 15:55--16:55

Closing Remark: 16:55--17:00


Phone: +1 (412) 710-6868

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