Akshara Rai

Akshara is a Research Scientist at Facebook AI Research, working at the intersection of machine learning and control. Her research aims at teaching robots to perform novel tasks in very few trials, by utilizing models, simulators, or data from previously learned tasks. She is focussed on bringing mobile robot platforms, in particular legged systems, to the real-world, by utilizing supervised, unsupervised and reinforcement learning along with control theory.

Peter Anderson

I am a Research Scientist in the Language team at Google Research. My research interests include computer vision, natural language processing and AI in general, and problems at the intersection of computer vision and natural language processing in particular. My recent work has focused on grounded language learning, particularly in large-scale visually-realistic 3D environments. I completed my PhD in Computer Science at Australian National University in 2018 where I was advised by Stephen Gould. I was also fortunate to work with Mark Johnson from Macquarie University and Anton van den Hengel from the University of Adelaide. In my previous life I was a sell-side securities analyst with Credit Suisse in Sydney. I have the (fairly rare) distinction of winning two university medals, in Finance (from the University of Sydney) and Computer Engineering (from the University of New South Wales).

Siyu Tang

I’m an assistant professor in the Department of Computer Science at ETH Zürich. I lead the Computer Vision and Learning Group (VLG) at the Institute of Visual Computing. Before joining ETH, I received an early career research grant to start her own research group at the Max Planck Institute for Intelligent Systems in November 2017. I was a postdoctoral researcher in the same institute, advised by Dr. Michael Black. I earned my PhD at the Max Planck Institute for Informatics in 2017, under the supervision of Professor Bernt Schiele. Before that, I received my Master’s degree in Media Informatics at RWTH Aachen University and Bachelor’s degree in Computer Science at Zhejiang University, China.

Zsolt Kira

I am an Assistant Professor at the School of Interactive Computing in the College of Computing. I am also affiliated with the Georgia Tech Research Institute and serve as an Associate Director of ML@GT which is the machine learning center recently created at Georgia Tech. Previously I was a Research Scientist at SRI International Sarnoff in Princeton, and before that received my Ph.D. in 2010 with Professor Ron Arkin as my advisor. I lead the RobotIcs Perception and Learning (RIPL) lab. My areas of research specifically focus on the intersection of learning methods for sensor processing and robotics, developing novel machine learning algorithms and formulations towards solving some of the more difficult perception problems in these areas. I am especially interested in moving beyond supervised learning (un/semi/self-supervised and continual/lifelong learning) as well as distributed perception (multi-modal fusion, learning to incorporate information across a group of robots, etc.).

Aljosa Osep

I am working towards scaling object detection, segmentation, and tracking models to the open world and learning from raw, unlabeled streams of sensory data. I come from the Alpine side of Slovenia. I have obtained my M.Sc. degree at the University of Bonn and Ph.D. at RWTH Aachen University under the supervision of Prof. Dr. Bastian Leibe. Currently, I am working with Prof. Deva Ramanan at the CMU Robotics Institute (visiting postdoc) and Prof. Laura Leal-Taixe (Dynamic Vision and Learning Group) at the Technical University of Munich.