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</o:shapelayout></xml><![endif]--></head><body lang=EL link=blue vlink=purple style='word-wrap:break-word'><div class=WordSection1><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal align=center style='text-align:center'><b><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>[CfP] ICCV 2021 Workshop: 2nd Autonomous Vehicle Vision (AVVision)</span></b><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>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 </span><span lang=EN-US><a href="https://avvision.xyz/iccv21/"><span style='font-family:"Arial",sans-serif;color:#1155CC'>https://avvision.xyz/iccv21/</span></a></span><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>.</span><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>Keynote Speakers:</span></b><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt'><span lang=EN-US><o:p> </o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo1;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Cordelia Schmid, INRIA<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo1;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Raquel Urtasun, University of Toronto<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo1;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Andreas Geiger, University of Tübingen<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo1;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Fisher Yu, ETH Zürich<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l2 level1 lfo1;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Laura Leal-Taixé, Technical University of Munich<o:p></o:p></span></li><li class=MsoNormal style='color:black;margin-right:1.0pt;mso-list:l2 level1 lfo1;background:white;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Matthew Johnson-Roberson, University of Michigan<o:p></o:p></span></li><li class=MsoNormal style='color:black;margin-right:1.0pt;margin-bottom:1.0pt;mso-list:l2 level1 lfo1;background:white;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Carl Wellington, Aurora<o:p></o:p></span></li></ul><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>Call for papers:</span></b><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>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><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt'><span lang=EN-US><o:p> </o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>3D road/environment reconstruction and understanding;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Mapping and localization for autonomous cars;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Semantic/instance driving scene segmentation and semantic mapping;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Self-supervised/unsupervised visual environment perception;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Car/pedestrian/object/obstacle detection/tracking and 3D localization;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Car/license plate/road sign detection and recognition;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Driver status monitoring and human-car interfaces;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Deep/machine learning and image analysis for car perception;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Adversarial domain adaptation for autonomous driving;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>On-board embedded visual perception systems;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Bio-inspired vision sensing for car perception;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l3 level1 lfo2;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Real-time deep learning inference.<o:p></o:p></span></li></ul><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>Important Dates:</span></b><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt'><span lang=EN-US><o:p> </o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoNormal style='color:black;mso-list:l0 level1 lfo3;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Paper submission deadline: Jul. 23, 2021<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l0 level1 lfo3;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Review feedback release date: Aug. 09, 2021<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l0 level1 lfo3;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Camera-ready Submission: Aug. 16, 2021<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l0 level1 lfo3;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Workshop date: Oct. 10-17, 2021 (TBD)<o:p></o:p></span></li></ul><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>Submission Guidelines:</span></b><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal style='text-align:justify'><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>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 lang=EN-US><a href="http://iccv2021.thecvf.com/node/4#submission-guidelines"><span style='font-family:"Arial",sans-serif;color:#1155CC'>ICCV 2021</span></a></span><u><span lang=EN-US style='font-family:"Arial",sans-serif;color:#1155CC'> </span></u><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>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><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt'><span lang=EN-US><o:p> </o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoNormal style='color:black;mso-list:l1 level1 lfo4;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Example submission paper with detailed instructions <a href="http://iccv2021.thecvf.com/sites/default/files/2020-09/egpaper_for_review.pdf"><span style='color:#1155CC'>Download</span></a>;<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l1 level1 lfo4;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>LaTeX Templates (zip): iccv2021AuthorKit.zip <a href="http://iccv2021.thecvf.com/sites/default/files/2020-09/iccv2021AuthorKit.zip"><span style='color:#1155CC'>Download</span></a><o:p></o:p></span></li></ul><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>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 lang=EN-US><a href="https://easychair.org/conferences/?conf=avvision2021"><span style='font-family:"Arial",sans-serif;color:#1155CC'>submission site</span></a></span><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'> is now open.</span><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><b><span lang=EN-US style='font-family:"Arial",sans-serif;color:black'>Organizers:</span></b><span lang=EN-US><o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt'><span lang=EN-US><o:p> </o:p></span></p><ul style='margin-top:0in' type=disc><li class=MsoNormal style='color:black;mso-list:l4 level1 lfo5;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Rui Ranger Fan, UC San Diego<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l4 level1 lfo5;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Nemanja Djuric, Aurora<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l4 level1 lfo5;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Rowan McAllister, Toyota Research Institute<o:p></o:p></span></li><li class=MsoNormal style='color:black;mso-list:l4 level1 lfo5;vertical-align:baseline'><span lang=EN-US style='font-family:"Arial",sans-serif'>Ioannis Pitas, Aristotle University of Thessaloniki <o:p></o:p></span></li></ul><div id=DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><table class=MsoNormalTable border=1 cellpadding=0 style='border:none;border-top:solid #D3D4DE 1.0pt'><tr><td width=55 style='width:41.25pt;border:none;padding:9.75pt .75pt .75pt .75pt'><p class=MsoNormal><a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient" target="_blank"><span style='text-decoration:none'><img border=0 width=46 height=29 style='width:.4791in;height:.302in' id="_x0000_i1025" src="https://ipmcdn.avast.com/images/icons/icon-envelope-tick-round-orange-animated-no-repeat-v1.gif"></span></a><o:p></o:p></p></td><td width=470 style='width:352.5pt;border:none;padding:9.0pt .75pt .75pt .75pt'><p class=MsoNormal style='line-height:13.5pt'><span style='font-size:10.0pt;font-family:"Arial",sans-serif;color:#41424E'>Virus-free. <a href="https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=emailclient" target="_blank"><span style='color:#4453EA'>www.avast.com</span></a> <o:p></o:p></span></p></td></tr></table><p class=MsoNormal><o:p> </o:p></p></div></div></body></html>