Organizers


Sergio Escalera

Computer Vision Center (UAB) and University of Barcelona, Spain

sergio.escalera.guerrero@gmail.com

Sergio Escalera obtained the P.h.D. degree on Multi-class visual categorization systems at Computer Vision Center, UAB. He obtained the 2008 best Thesis award on Computer Science at Universitat Autònoma de Barcelona. He is ICREA Academia. He leads the Human Pose Recovery and Behavior Analysis Group. He is Full Professor at the Department of Mathematics and Informatics, Universitat de Barcelona. He is an adjunct professor at Universitat Oberta de Catalunya and Dalhousie University, and Distinguished Professor at Aalborg University. He has been visiting professor at TU Delft and Aalborg Universities. He is a member of the Visual and Computational Learning consolidated research group of Catalonia. He is also a member of the Computer Vision Center at UAB, Mathematics Institut of the Universitat de Barcelona, and the Barcelona Graduate School of Mathematics. He is series editor of The Springer Series on Challenges in Machine Learning. He is vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is co-creator of Codalab open source platform for challenges organization and co-founder of the NeurIPS competition track. He is also Fellow of the ELLIS European Laboratory for Learning and Intelligent Systems working within the Human-centric Machine Learning program, member of the AAAC Association for the Advancement of Affective Computing, AERFAI Spanish Association on Pattern Recognition, ACIA Catalan Association of Artificial Intelligence, AEPIA Artificial Intelligence Spanish Association, INNS International Neural Network Society, IEEE, and Chair of IAPR TC-12: Multimedia and visual information systems. He has different patents and registered models. He participated in several international funded projects and received an Amazon Research Award. He has published more than 300 research papers and participated in the organization of scientific events. He received a CVPR best paper award nominee and a CVPR outstanding reviewer award. He has been guest editor at TPAMI, JMLR, PR, TAC and IJCV, among others. He has been General co-Chair of FG20, Area Chair at CVPR, NeurIPS, FG, ICCV, and BMVC, and Competition and Demo Chair at FG, NeurIPS, and ECMLPKDD, among others. His research interests include automatic analysis of humans from visual and multi-modal data, with special interest in inclusive, transparent, and fair affective computing and people characterization.

Cristina Palmero

Computer Vision Center (UAB) and University of Barcelona, Spain

crpalmec7@alumnes.ub.edu

Cristina Palmero received her Bachelor's degree in Audiovisual Telecommunication Systems Engineering in 2011, obtaining the 2010 Best Bachelor Thesis Award about accessibility and labor integration of people with disabilities. In 2014, she received an M.S. degree in Artificial Intelligence from the Polytechnic University of Catalonia and a partial M.S. degree in Computer Vision from the Autonomous University of Barcelona, Spain. That same year, she was also awarded with a Marie Curie Early Stage Training (ESR) Fellowship for a 3-year program within the ITN iCARE (improving Children’s Auditory REhabilitation). As a computer vision and machine learning researcher, she has worked on several projects devoted to physical rehabilitation, active aging and independent living, as well as face-to-face group and dyadic interaction. She is currently a PhD student at Universitat de Barcelona, Spain, focusing on automatic gaze estimation with remote cameras, and a member of the Human Pose Recovery and Behavior Analysis group (HuPBA). She is also a member of the H2020 EMPATHIC project, which focuses on building empathic and personalized virtual coaches for the elderly . Her main research interests include multi-modal human behavior analysis and social signal processing.

Wei-Wei Tu

4Paradigm Inc., China

Wei-Wei Tu is Vice President, Principal Scientist, 4Paradigm Inc., board member of ChaLearn. He has rich experience in large-scale distributed machine learning system architecture, large-scale machine learning algorithm design and application, and online marketing system. Wei-Wei Tu was engaged in computational advertisment-related work in Baidu Fengchao, and designed and developed Baidu's machine learning computing framework ELF. Currently Wei-Wei Tu is working in 4Paradigm Inc., he is the designer of the core large-scale distributed machine learning framework GDBT for 4Paradigm's Sage platform. He has applied AutoML and transfer learning at over 12,000 real applications and achieved significant results. Wei-Wei Tu has published over 20 papers in AAAI, IJCAI, KDD, ICML, NeurIPS, ICLR and other conferences and workshops. Wei-Wei Tu served as the competition chair of PAKDD 2018/2019, chair of PRICAI 2018 AutoML Workshop, co-chair of KDD 2020 AutoML Workshop, the main organizer of NeurIPS 2018 AutoML competition, organizer of IJCNN 2019 AutoCV competition, main organizer of NeurIPS 2019 AutoDL competition, and main organizer of the first and second KDD Cup AutoML competitions , main organizer of WAIC 2019 AutoNLP competition, main organizer of ACML 2019 / INTERSPEECH 2020 AutoSpeech and AutoWSL competition, guest editor of IEEE TPAMI's first AutoML special issue. Wei-Wei Tu also served as the co-chair of NeurIPS 2019 CiML Workshop, advisor of NeurIPS 2019 / ICML 2020 / NeurIPS 2020 New In ML session, and he is the board member of ChaLearn.

Albert Clapés

Computer Vision Center (UAB)

aclapes@cvc.uab.es

He obtained his Ph.D. degree in action recognition at the University of Barcelona (UB) in 2019. He is currently working on a multimodal fall detection project at Computer Vision Center (CVC), which is part of Universitat Autònoma de Barcelona (UAB). He is also a member of the Human Pose Recovery and Behavior Analysis Group. He participated in the organization "Chalearn joint contest on multimedia challenges beyond visual analysis'' (ECCV16 and ICPR16), which included RGB-D gesture recognition and another track of personality traits recognition from short YouTube clips. His research interests include multimodality, action recognition, and sequential learning models.

Julio C. S. Jacques Junior

Computer Vision Center (CVC), Spain

juliojj@gmail.com

Julio C. S. Jacques Junior received his Ph.D. degree in Computer Science from PUCRS in 2012, Brazil. Currently, he is a postdoctoral researcher at the Computer Vision Center (CVC) at Universitat Autònoma de Barcelona (UAB), as a member of the Human Pose Recovery and Behavior Analysis (HUPBA) group. He collaborates within the University of Barcelona (UB) as a HUPBA member, and within ChaLearn and ChaLearn (LAP) Looking at People. He also has collaborated with the organization of some workshops and challenges organized by ChaLearn LAP (ECCV’16, ICPR’16, CVPR/IJCNN’17, NeurIPS'19, ECCV’20, CVPR’21). His research interests include, among others, computer vision-based applications with a particular focus on visual human behavior analysis.

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