Organizers
Hongxu (Danny) Yin: Research Scientist at NVIDIA. Hongxu (Danny) Yin obtained his Ph.D. at Princeton University. His research interests mainly include data-/execution-efficient and secure deep learning overseeing CNNs and transformers. He has been the organizer of several tutorial/workshop at CVPR and ICCV. He has been featured as Global Outstanding Chinese Power 100 Award by 36Kr and Top 60 Elite Chinese in North America by Forbes. (primary contact: dannyy at nvidia.com)
Bichen Wu: Research Scientist at Meta. Bichen Wu is a research scientist at Meta working on efficient deep learning algorithms, models, and systems. His research includes efficient computer vision, 3D computer vision, neural architecture search, speech synthesis, and so on. He obtained his Ph.D. from UC Berkeley and his bachelor's degree from Tsinghua University.
Pavlo Molchanov: Distinguished Scientist at NVIDIA. Pavlo Molchanov is a distinguished research scientist and research lead with NVIDIA Research since 2015. His research is focused on efficient deep learning and human-centric computer vision in LPR team lead by Jan Kautz. In the area of network efficiency he is working on methods for model acceleration, inversion, novel architectures and adaptive/conditional inference. In the area of human-centric vision he is working on face/body/hand landmarks and pose estimation, action/gesture recognition and designing novel human-computer interaction systems. He holds a degree in signal processing obtained in Tampere University of Technology, Finland in 2014. He served as a program committee member of IEEE AAAI. He has co-organized the Accelerating Computer Vision with Mixed Precision tutorial in conjunction with ICCV 2019.
Peizhao Zhang: Research Scientist at Meta. Peizhao Zhang is a research scientist at Meta working on efficient deep learning. His work includes efficient model design, automatic architecture search, as well as efficient models for different applications. He holds a Ph.D. in Computer Science from Texas A&M University.
Andrew Howard: Senior Staff Software Engineer at Google Research, Andrew is working on efficient computer vision models for on device applications. He is the originator of Google’s popular MobileNet models.
Chas Leichner: Staff Software Engineer at Google Research. Chas is working on efficient computer vision models for mobile devices with an emphasis on increasing the usability of domain-specific accelerators. He has previously worked on neural network accelerator chip design for datacenter applications.
Xiaoliang Dai: Research Scientist at Meta. Xiaoliang Dai is a research scientist working on the mobile vision team at Meta. His research interests lie in efficient deep neural networks, data-efficient learning, and related applications. He received the B.S. degree from Peking University in 2014, and the Ph.D. degree from Princeton University in 2019.
Ji Hou: Research Scientist at Meta. Ji Hou is a Research Scientist at Meta GenAI, where he works on generative foundation models. Previously, he did his Ph.D. at TUM Visual Computing Group headed by Prof. Matthias Niessner, where he worked on Computer Vision and 3D Scene Understanding. During his Ph.D., he did an internship at Facebook AI Research (FAIR) with Prof. Saining Xie and Dr. Benjamin Graham on 3D representation and data-efficient learning.
Peter Vajda: Research Scientist Manager at Meta. Peter joined Meta in 2014 as a Research Scientist. Currently, he is managing the Mobile Vision team on efficient computer vision algorithms for mobile devices. Before joining Meta, he was Visiting Assistant Professor at Stanford University, Stanford, USA, working on personalized multimedia systems and mobile visual search.
Dilin Wang: Research Scientist at Meta. Dilin’s research interests are primarily in machine learning, with a focus on energy-efficient deep learning and AR/VR. He did his Ph.D. in CS at UT Austin, where he was advised by Qiang Liu.
Jan Kautz: Vice President of Research at NVIDIA. Jan Kautz is the Vice President of Learning and Perception Research at NVIDIA. He and his team pursue fundamental research in the areas of computer vision and deep learning, including visual perception, geometric vision, generative models, and efficient deep learning. Their work has been given various awards and has been regularly featured in the media. Before joining NVIDIA in 2013, Jan was a tenured faculty member at University College London. He holds a degree in Computer Science from the University of Erlangen-Nürnberg (1999), an MMath from the University of Waterloo (1999), received his PhD from the Max-Planck-Institut für Informatik (2003), and worked as a post-doctoral researcher at the Massachusetts Institute of Technology (2003-2006). Jan has chaired numerous conferences and has served on several editorial boards.