Christoph Feichtenhofer is a Research Scientist Manager at Meta AI (FAIR). He received the BSc, MSc and PhD degree in computer science from TU Graz in 2011, 2013 and 2017, and spent time as a visiting researcher at York University, Toronto as well as the University of Oxford. He is a recipient of a DOC Fellowship of the Austrian Academy of Sciences and was awarded with the Award of Excellence for outstanding doctoral theses in Austria. His main areas of research include the development of effective representations for image and video understanding.

Anelia Angelova is a Principal Scientist at Google DeepMind working in the area of computer vision. She leads the Vision and Language team and previously led the Robot Vision team in Brain Robotics at Google Brain. Her most recent research focuses on vision-language and multimodal models, video understanding, semantic and 3D scene understanding, robotics perception, and real-time algorithms. She has integrated her work in production systems, including in Waymo, Google Maps, Google Cloud, X, Bard and currently contributes to Gemini. Anelia received her MS and PhD degrees in Computer Science from California Institute of Technology.

Matthieu Cord is a professor at Sorbonne University, leading the Machine Learning team (MLIA) at ISIR, and the scientific director at valeo.ai. His research expertise includes computer vision and machine learning. He currently holds a chair in artificial intelligence at Sorbonne University.  

Chunyuan Li is currently a Research Lead at ByteDance, based in the Seattle area. From 2018 to 2023, He worked as a Principal Researcher in the Deep Learning Team at Microsoft Research, Redmond. Before that, Chunyuan obtained his PhD at Duke University, working on probabilistic deep learning. Chunyuan's recent work focuses on developing multimodal foundation models, such as open-source models LLaVA and its series. He has served as an Area Chair for NeurIPS, ICML, ICLR, ACL, EMNLP & AAAI, and a Guest Editor of IJCV. More info: https://chunyuan.li/.

Saining Xie is an Assistant Professor of Computer Science at NYU Courant. He is also affiliated with NYU Center for Data Science. Previously, he was a research scientist at Facebook AI Research (FAIR), Menlo Park. He received his Ph.D. and M.S. degrees from CSE Department at UC San Diego, advised by Zhuowen Tu. During his PhD study, he interned at NEC Labs, Adobe, Facebook, Google, DeepMind. Prior to that, he obtained his bachelor degree from Shanghai Jiao Tong University. His primary research interests are in deep learning and computer vision. His goal is to develop improved representation learning techniques that aid machines in comprehending and utilizing massive amounts of structured information, as well as to push the boundaries of visual recognition by learning better representations at scale.