Advances in Face Presentation Attack Detection / Synthesis Lectures on Computer Vision (PDF)

Information Systems. He co-created the Codalab open-source platform for challenges organization. He is also a Series Editor of The Springer Series on Challenges in Machine Learning. His research interests include automatic analysis of humans from visual and multimodal data, with special interest in inclusive, transparent, and fair affective computing and people characterization. Hugo Jair Escalante is a Senior Researcher Scientist at INAOE, Mexico, a membof the board of directors of ChaLearn USA, and Chair officer of the IAPR Technical Committee 12. er He is a regular member of the Mexican Academy of Sciences (AMC), the Mexican Academy of Computing (AMEXCOMP) and Mexican System of Researchers Level II (SNI). He was editor of the Springer Series on Challenges in Machine Learning 2017-2013 and is Associate Editor of IEEE Transactions on Affective Computing. He has been involved in the organization of several challenges in machine learning and computer vision collocated with top venues. He has served as competition chair of NeurIPS2020, FG2020 and ICPR2020, NeurIPS2019, PAKDD2019-2018, IJCNN2019. His research interests are on machine learning, challenge organization, and its applications on language and vision.
Stan Z. Li (IEEE Fellow, IAPR Fellow) is a Chair Professor of artificial intelligence at Westlake University. He received his Ph.D. degree from Surrey University, UK, in 1991. He was awarded Honorary Doctorate of Oulu University, Finland, in 2013. He was the director of the Center for Biometrics and Security Research (CBSR) , Chinese Academy of Sciences, 2004~2019. He worked at Microsoft Research Asia as a Research Lead, 2000~2004. Prior to that, he was an associate professor (tenure) at Nanyang Technological University, Singapore. He joined Westlake University as a Chair Professor of Artificial Intelligence in February 2019. Stan Z. Li has published over 400 papers in international journals and conferences, authored, and edited 10 books, with over 60,000 Google Scholar citations. Among these are Markov Random Field Models in Image Analysis (Springer), Handbook of Face Recognition (Springer) and Encyclopedia of Biometrics (Springer). He served as an associate editor of IEEE Transactions on Pattern Analysis and Machine Intelligence and organized more than 100 international conferences or workshops. His current research interests include AI fundamental research and AI for sciences.