Invited Speakers

Wenjun Zeng

Wenjun (Kevin) Zeng is a Sr. Principal Research Manager and a member of the Senior Leadership Team at Microsoft Research Asia. He has been leading the video analytics research powering the Microsoft Cognitive Services, Azure Media Analytics Services, Microsoft Office, Dynamics, and Windows Machine Learning since 2014. He was with the Computer Science Dept. of Univ. of Missouri from 2003 to 2016, most recently as a Full Professor. Prior to that, he worked for PacketVideo Corp, San Diego, CA, Sharp Labs of America, Camas, WA, Bell Labs, Murray Hill, NJ, and Panasonic Technology, Princeton, NJ. He received his B.E., M.S., and Ph.D. degrees from Tsinghua Univ., the Univ. of Notre Dame, and Princeton Univ., respectively. He is on the Editorial Board of International Journal of Computer Vision, and was an Associate Editor and Steering Committee members for a number of IEEE journals. He has served as the General Chair or TPC Chair for several IEEE Conferences (e.g., ICME’2018, ICIP’2017). He is a Fellow of the IEEE.

Dima Damen

Reader (Associate Professor) in Computer Vision at the University of Bristol, United Kingdom. Received her PhD from the University of Leeds, UK (2009). Dima is currently an EPSRC Fellow (2020-2025), focusing on her research interests in the automatic understanding of object interactions, actions and activities using static and wearable visual (and depth) sensors. Dima is a program chair for ICCV 2021 in Montreal, associate editor of IJCV (2020-), IEEE TPAMI (2019-) and Pattern Recognition (2017-). She was selected as a Nokia Research collaborator in 2016, and as an Outstanding Reviewer in CVPR2020, ICCV17, CVPR13 and CVPR12. She currently supervises 6 PhD students, and 4 postdoctoral researchers.

Xavier Alameda-Pineda

Xavier Alameda-Pineda is a (tenured) Research Scientist at Inria, in the Perception Group. He obtained the M.Sc. (equivalent) in Mathematics in 2008, in Telecommunications in 2009 from BarcelonaTech and in Computer Science in 2010 from Université Grenoble-Alpes (UGA). He the worked towards his Ph.D. in Mathematics and Computer Science, and obtained it 2013, from UGA. After a two-year post-doc period at the Multimodal Human Understanding Group, at University of Trento, he was appointed with his current position. Xavier is an active member of SIGMM, and a senior member of IEEE and a member of ELLIS. He is co-chairing the “Audio-visual machine perception and interaction for companion robots” chair of the Multidisciplinary Institute of Artificial Intelligence. Xavier is the Coordinator of the H2020 Project SPRING: Socially Pertinent Robots in Gerontological Healthcare. Xavier’s research interests are in combining machine learning, computer vision and audio processing for scene and behavior analysis and human-robot interaction.

Jiebo Luo

Jiebo Luo joined the University of Rochester in Fall 2011 after over fifteen prolific years at Kodak Research Laboratories, where he was a Senior Principal Scientist leading research and advanced development. He has been involved in numerous technical conferences, including serving as the program co-chair of ACM Multimedia 2010, IEEE CVPR 2012 and IEEE ICIP 2017. He has served on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, ACM Transactions on Intelligent Systems and Technology, Pattern Recognition, Machine Vision and Applications, and Journal of Electronic Imaging. Dr. Luo is the Editor-in-Chief of the IEEE Transactions on Multimedia for the 2020-2022 term. Dr. Luo is a Fellow of ACM, AAAI, IEEE, IAPR, and SPIE.