ICCV 2021 Workshop: 2nd Autonomous Vehicle Vision (AVVision) Call for Papers

[CfP] ICCV 2021 Workshop: 2nd Autonomous Vehicle Vision (AVVision)


The 2nd 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. The workshop webpage is at


Keynote Speakers:


    Cordelia Schmid, INRIA
    Raquel Urtasun, University of Toronto
    Andreas Geiger, University of Tübingen
    Fisher Yu, ETH Zürich
    Laura Leal-Taixé, Technical University of Munich
    Matthew Johnson-Roberson, University of Michigan
    Carl Wellington, Aurora


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:


    3D road/environment reconstruction and understanding;
    Mapping and localization for autonomous cars;
    Semantic/instance driving scene segmentation and semantic mapping;
    Self-supervised/unsupervised visual environment perception;
    Car/pedestrian/object/obstacle detection/tracking and 3D localization;
    Car/license plate/road sign detection and recognition;
    Driver status monitoring and human-car interfaces;
    Deep/machine learning and image analysis for car perception;
    Adversarial domain adaptation for autonomous driving;
    On-board embedded visual perception systems;
    Bio-inspired vision sensing for car perception;
    Real-time deep learning inference.


Important Dates:


    Paper submission deadline: Jul. 23, 2021
    Review feedback release date: Aug. 09, 2021
    Camera-ready Submission: Aug. 16, 2021
    Workshop date: Oct. 10-17, 2021 (TBD)


Submission Guidelines:


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 ICCV
2021 main conference. Papers are limited to eight pages, including
figures and tables, in the ICCV style. Additional pages containing
only cited references are allowed. Please refer to the following files
for detailed formatting instructions:


    Example submission paper with detailed instructions Download;
    LaTeX Templates (zip): iccv2021AuthorKit.zip Download


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.




    Rui Ranger Fan, UC San Diego
    Nemanja Djuric, Aurora
    Rowan McAllister, Toyota Research Institute
    Ioannis Pitas, Aristotle University of Thessaloniki