2021 Understanding Social Behavior in Dyadic and Small Group Interactions Workshop at ICCV

Sergio Escalera

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

sergio.escalera.guerrero@gmail.com

Sergio Escalera is Full Professor at the Department of Mathematics and Informatics, Universitat de Barcelona, where he is the head of the Informatics degree. He is ICREA Academia. He leads the Human Pose Recovery and Behavior Analysis Group. He is Distinguished Professor at Aalborg University. He is vice-president of ChaLearn Challenges in Machine Learning, leading ChaLearn Looking at People events. He is also Fellow of the ELLIS European Laboratory for Learning and Intelligent Systems working within the Human-centric Machine Learning program. He participated in several international funded projects and received an Amazon Research Award. He has published more than 300 research papers and received a CVPR best paper award nominee and a CVPR outstanding reviewer award.

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

University of Barcelona (UB), Spain

juliojj@gmail.com

Julio C. S. Jacques Junior is an assistant professor at University of Barcelona (UB) and a research collaborator within Computer Vision Center (CVC). Member of the Human Pose Recovery and Behavior Analysis (HUPBA) group, he also collaborates within within ChaLearn and ChaLearn (LAP) Looking at People. He helped to organize workshops and challenges at high impact conferences (e.g., NeurIPS, CVPR, ECCV, ICCV). His research interests include, among others, computer vision-based applications with a particular focus on visual human behavior analysis.