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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">The 2nd Autonomous Vehicle Vision (AVVision) Workshop is organized by the<span> </span></span><a href="https://avvision.xyz/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="0" style="margin:0px"><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline;">AVVision
community</span></a><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">. This 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<span> </span></span><a href="https://avvision.xyz/iccv21/" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="1" style="margin:0px"><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline;">https://avvision.xyz/iccv21/</span></a><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">.</span></p>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin: 0px; font-weight: 700; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">Keynote Speakers:</span></p>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Cordelia Schmid, INRIA</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Raquel Urtasun, University of Toronto</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Andreas Geiger, University of Tübingen</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Fisher Yu, ETH Zürich</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Laura Leal-Taixé, Technical University of Munich</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top: 0pt; margin-bottom: 0pt; line-height: 1.38; margin-right: 1pt; background-color: rgb(255, 255, 255);">
<span style="margin:0px">Matthew Johnson-Roberson, University of Michigan</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top: 0pt; margin-bottom: 1pt; line-height: 1.38; margin-right: 1pt; background-color: rgb(255, 255, 255);">
<span style="margin:0px">Carl Wellington, Aurora</span></p>
</li></ul>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin: 0px; font-weight: 700; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">Call for papers:</span></p>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">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:</span></p>
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<ul style="margin-top:0px;margin-bottom:0px">
<li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">3D road/environment reconstruction and understanding;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Mapping and localization for autonomous cars;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Semantic/instance driving scene segmentation and semantic mapping;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Self-supervised/unsupervised visual environment perception;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Car/pedestrian/object/obstacle detection/tracking and 3D localization;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Car/license plate/road sign detection and recognition;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Driver status monitoring and human-car interfaces;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Deep/machine learning and image analysis for car perception;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Adversarial domain adaptation for autonomous driving;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">On-board embedded visual perception systems;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Bio-inspired vision sensing for car perception;</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Real-time deep learning inference.</span></p>
</li></ul>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin: 0px; font-weight: 700; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">Important Dates:</span></p>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Paper submission deadline: Jul. 23, 2021</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Review feedback release date: Aug. 09, 2021</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Camera-ready Submission: Aug. 16, 2021</span></p>
</li></ul>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin: 0px; font-weight: 700; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">Submission Guidelines:</span></p>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38;text-align:justify">
<span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">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<span> </span></span><a href="http://iccv2021.thecvf.com/node/4#submission-guidelines" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="2" style="margin:0px"><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline;">ICCV
2021</span></a><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline;"> </span><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">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:</span></p>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Example submission paper with detailed instructions<span> </span></span><a href="http://iccv2021.thecvf.com/sites/default/files/2020-09/egpaper_for_review.pdf" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="3" style="margin:0px"><span style="margin: 0px; color: rgb(17, 85, 204); text-decoration: underline;">Download</span></a></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">LaTeX Templates (zip): iccv2021AuthorKit.zip<span> </span></span><a href="http://iccv2021.thecvf.com/sites/default/files/2020-09/iccv2021AuthorKit.zip" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="4" style="margin:0px"><span style="margin: 0px; color: rgb(17, 85, 204); text-decoration: underline;">Download</span></a></p>
</li></ul>
<br>
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">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<span> </span></span><a href="https://easychair.org/conferences/?conf=avvision2021" target="_blank" rel="noopener noreferrer" data-auth="NotApplicable" data-linkindex="5" style="margin:0px"><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(17, 85, 204); text-decoration: underline;">submission
site</span></a><span style="margin: 0px; font-weight: 400; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);"> is now open.</span></p>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin: 0px; font-weight: 700; font-size: 11pt; font-family: Arial; color: rgb(0, 0, 0);">Organizers:</span></p>
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<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Rui Ranger Fan, UC San Diego</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Nemanja Djuric, Aurora Innovation</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Rowan McAllister, Toyota Research Institute</span></p>
</li><li dir="ltr" style="font-size: 11pt; font-family: Arial; font-weight: 400; color: rgb(0, 0, 0);">
<p dir="ltr" style="margin-top:0pt;margin-bottom:0pt;line-height:1.38"><span style="margin:0px">Ioannis Pitas, Aristotle University of Thessaloniki</span></p>
</li></ul>
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