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<p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt" id="gmail-docs-internal-guid-9d512601-7fff-88b2-d29c-339c93952707"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Dear colleague,</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">We are happy to announce the starting of our </span><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:italic;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">NeurIPS 2020 3D + texture garment reconstruction competition</span><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">.</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">What is the competition about?</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(51,51,51);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Humans are important targets in many applications. Accurately tracking, capturing, reconstructing and animating the human body, face and garments in 3D are critical for human-computer interaction, gaming, special effects and virtual reality. In the past, this has required extensive manual animation. Regardless of the advances in human body and face reconstruction, still modeling, learning and analyzing human dynamics need further attention. In this competition we plan to push the research in this direction, e.g. understanding human dynamics in 2D and 3D, with special attention to </span><span style="font-size:11pt;font-family:Arial;color:rgb(51,51,51);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">garments</span><span style="font-size:11pt;font-family:Arial;color:rgb(51,51,51);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">. We provide a large-scale dataset (more than 2M frames) of animated garments with variable topology and type. The dataset contains paired RGB images with 3D garment vertices in a sequence. We paid special care to garment dynamics and realistic rendering of RGB data, including lighting, fabric type and texture. We designed three tracks so participants can compete to develop the best method to perform 3D garment reconstruction and texture estimation in a sequence from (1) 3D garments and (2) RGB images.</span><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap"> More details are available </span><a href="http://chalearnlap.cvc.uab.es/challenge/40/description/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">here</span></a><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">.</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Why is it important?</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">There has been a growing interest in the topic recently, both from a research or industrial point of view. However, available datasets have been limited in terms of either the number of samples or garment complexity and topology, body shape, pose and garment dynamics (a comparison of available datasets can be seen </span><a href="https://arxiv.org/abs/1912.02792" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">here</span></a><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">). A large-scale benchmark dataset has been a demand to better study the topic. This competition provides a great opportunity to study state-of-the-art and further push the research. Details of the dataset can be seen </span><a href="http://chalearnlap.cvc.uab.es/dataset/38/description/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">here</span></a><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">.</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Why is it interesting to participate?</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">You can test your already available method on our benchmark dataset and compete with other state-of-the-art methods,</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">You can develop new ideas and submit your paper to NeurIPS Workshop/Competition Proceedings or any conference/journal of your choice,</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">You can win the competition, receive a certificate and attend NeurIPS to present your work. We provide travel grants to the top winning teams of each track. Also the best student approach will be awarded by one NVIDIA GPU.</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">All participants are candidates to be invited to write a joint paper along with the organizers. We plan to submit this paper to a top-tier conference/journal. </span></p></li></ul><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Ready to hack?</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">The schedule is available </span><a href="http://chalearnlap.cvc.uab.es/challenge/40/schedule/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">here</span></a><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">. You have around 4 months to finish each track.</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">You can enter the competition by registering at </span><a href="https://competitions.codalab.org/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">Codalab</span></a><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">. Each track is accessible by the following links.</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">- </span><a href="https://competitions.codalab.org/competitions/24767" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">Track 1, 3D to 3D garment reconstruction</span></a></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">- </span><a href="https://competitions.codalab.org/competitions/24768" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">Track 2, RGB to 3D garment reconstruction</span></a></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">- </span><a href="https://competitions.codalab.org/competitions/24769" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">Track 3, RGB to 3D+Texture garment reconstruction</span></a></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">NeurIPS competition event</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">In the competition track (</span><span style="font-size:10.5pt;font-family:Arial;color:rgb(51,51,51);background-color:rgb(255,255,255);font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Fri, Dec 11 - Sat, Dec 12, detailed schedule will be released later</span><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">) we will present challenge results and winning participants can present their approaches. We also have a confirmed list of invited speakers who are experts in the field of the competition:</span></p><ul style="margin-top:0px;margin-bottom:0px"><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Gerard Pons-Moll, Max Planck Institute for Informatics,</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Kristen Grauman, University of Texas at Austin,</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Stefanos Zafeiriou, Imperial College London,</span></p></li><li dir="ltr" style="list-style-type:disc;font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre"><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Yebin Liu, Tsinghua University.</span></p></li></ul><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:700;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Sponsors</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><a href="http://www.chalearn.org/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">ChaLearn</span></a><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">, </span><a href="https://research.fb.com/category/augmented-reality-virtual-reality/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">Facebook Reality Labs</span></a><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">, </span><a href="https://research.nvidia.com/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">NVIDIA</span></a><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">, </span><a href="http://research.baidu.com/" style="text-decoration:none"><span style="font-size:11pt;font-family:Arial;color:rgb(17,85,204);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:underline;vertical-align:baseline;white-space:pre-wrap">Baidu</span></a></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Hope to see you soon in this great event!</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"> </p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">NeurIPS 2020 ChaLearn organizing team</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">Meysam Madadi, Hugo Bertiche, Wafa Bouzouita, Isabelle Guyon, Sergio Escalera</span></p><p dir="ltr" style="line-height:1.38;background-color:rgb(255,255,255);margin-top:0pt;margin-bottom:0pt"><span style="font-size:11pt;font-family:Arial;color:rgb(34,34,34);background-color:transparent;font-weight:400;font-style:normal;font-variant:normal;text-decoration:none;vertical-align:baseline;white-space:pre-wrap">************</span></p>
<br clear="all"><br>-- <br><div dir="ltr" class="gmail_signature" data-smartmail="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div dir="ltr"><div><div><font size="1"><span style="color:rgb(68,68,68)"><b><span style="color:rgb(102,102,102)">Dr. Sergio Escalera Guerrero</span><br></b></span><span style="color:rgb(153,153,153)">Head of Human Pose Recovery and Behavior Analysis group /</span></font><span style="color:rgb(153,153,153)"><font size="1"> ICREA Academia / Project Manager at the Computer Vision Center</font></span><br><span style="color:rgb(153,153,153)"></span></div></div><span style="color:rgb(153,153,153)"><font size="1">Vice-president of ChaLearn Challenges in Machine Learning, Berkeley<br></font></span><span style="color:rgb(153,153,153)"><font size="1"><span><span><span style="color:rgb(153,153,153)"><font size="1">Full Professor</font></span></span></span> at Universitat de Barcelona / Universitat Oberta de Catalunya / Aalborg University / </font></span><br><span style="color:rgb(153,153,153)"><font size="1">Dalhousie University<br></font></span><font size="1"><span style="color:rgb(153,153,153)">Email: <a href="mailto:sergio.escalera.guerrero@gmail.com" target="_blank">sergio.escalera.guerrero@gmail.com</a> / Webpage: <a href="http://www.maia.ub.es/~sergio/" target="_blank">http://www.sergioescalera.com/</a></span></font><span><span style="color:rgb(153,153,153)"><font size="1"> / Phone:+34</font></span><font size="1"><span style="color:rgb(153,153,153)"><font size="1"><span dir="ltr"><span dir="ltr"><span><span>934020853<br></span></span></span></span></font></span></font></span><div><span></span></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>