Jiachen Li is a final-year PhD candidate at University of California, Berkeley. His current research interests lie at the intersection of machine learning, computer vision, graph neural network, reinforcement learning, control and optimization and their applications to scene understanding, relational reasoning / interaction modeling, motion prediction, sequential decision making for intelligent autonomous systems (e.g. autonomous vehicles, mobile robots). He has spent time as a research intern at Toyota Research Institute and Honda Research Institute US.
Xinshuo Weng is a 3rd-year Ph.D. student at Carnegie Mellon University working on 3D computer vision and graph neural networks. She previously worked at Facebook Reality Lab as a research engineer and completed her master’s degree at CMU. Her recent research is about applying Graph Neural Networks for object interaction modeling in perception (3D object detection and multi-object tracking). She has been awarded a Qualcomm Innovation Fellowship (2020 - 2021).
Chiho Choi is a Scientist at Honda Research Institute working on understanding, reasoning, and prediction of human states and behaviors in highly interactive environments. He was previously an intern at HERE technologies where he was engaged in scene understanding research. He received his Ph.D. from Purdue University focusing on state estimation of human hands and human-object interaction and completed a M.S. from University of Southern California where he conducted research in matching and registration of human body shapes. He has published papers in the field of Computer Vision (CVPR, ICCV), Machine Learning (NeurIPS, ICLR), Robotics (ICRA, IROS, CoRL), and Control (ACC).
Yunzhu Li is a 4th-year Ph.D. student at MIT. He works on the intersection of computer vision, machine learning, and robotics. He is particularly interested in enabling robots to better perceive and interact with the world via learning-based dynamics modeling and multimodal perception. Yunzhu received the Adobe Research Fellowship and is selected as a Finalist of the NVIDIA Graduate Fellowship. His research was published in top journals and conferences, including Nature, NeurIPS, CVPR, ICRA, etc. Before coming to MIT, he received a B.S. degree from Peking University. He has also spent time at Stanford AI Lab and NVIDIA Robotics Research Lab.
Rowan McAllister is a research scientist at Toyota Research Institute working on motion planning for autonomous vehicles. He previously worked with Uber's autonomous vehicle forecasting team, completed his postdoc at UC Berkeley. He holds a PhD at the University of Cambridge on Bayesian reinforcement learning, and a masters in motion planning at the Australian Center for Field Robotics.
Parth Kothari is a 3rd-year PhD student working at the Visual Intelligence for Transport (VITA) lab at EPFL in the field of understanding human motion behavior. He is particularly interested in modeling interactions between multiple agents and tackling challenges of multimodal and interpretable motion forecasting. Before coming to EPFL, he got his undergraduate degree in Electrical Engineering from IIT Bombay.
Alexandre Alahi is currently an Assistant Professor at EPFL. He spent five years at Stanford University as a Postdoc and Research Scientist after obtaining his Ph.D. from EPFL. His research enables machines to perceive the world and make decisions in the context of transportation problems and smart environments. He has worked on the theoretical challenges and practical applications of socially-aware Artificial Intelligence, i.e., systems equipped with perception and social intelligence. He was awarded the Swiss NSF early and advanced researcher grants for his work on predicting human social behavior.
We thank those who help review submissions to this workshop!
Hengbo Ma, UC Berkeley
Jianyu Chen, Tsinghua University
Dequan Wang, UC Berkeley
Alireza Golestaneh, Bosch
Hang Zhao, Tsinghua University
Tianmin Shu, MIT
Colin Graber, UIUC
Thomas Kipf, Google Brain
Raymond Yeh, UIUC
Hyodong Lee, MIT
Zhuo Zheng, Wuhan University
Guyue Hu, Chinese Academy of Sciences
Shan Yu, Chinese Academy of Sciences
Yadong Mu, Peking University
Chenchen Liu, Peking University
Anna Kukleva, MPI-INF
Yuejiang Liu, EPFL
Chengxi Li, Purdue
Hogun Park, Sungkyunkwan University
Zhenjia Xu, Columbia University
Chen Sun, Brown University
Chuang Gan, MIT-IBM Watson AI Lab
Rohan Chandra, UMD
Michael Janner, UC Berkeley
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