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Teaching |
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My research lies at the intersection of computer vision, human vision, machine learning, and robotics. Visual perception is not only a fascinating computational challenge, but more importantly, an intelligent solution to large-scale pattern recognition and adaptive decision-making in complex environments. Human vision is a universal sensing system like no other: It serves as a flexible light meter, an instant geometer, a versatile material comparator, and a holistic parser. What fascinates me most is that infants with normal vision all learn to see -- starting from a nebulous blur and shaped by diverse, natural experiences. This developmental process leads to deeply integrated sensing and recognition, such that seeing becomes believing and visual reality the reality. My research explores this phenomenon through four interconnected themes. 1. Actionable Representation Learning from Natural Data
2. Integrative Perception-Action Learning for Embodied Autonomy
3. Efficient Structure-Aware Machine Learning Models
4. Application to Science, Medicine, and Engineering
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Advisees |
Ph.D. Students: Utkarsh Singhal, Alfredo De Goyeneche, Ryan Feng, Zilin Wang, Anna Kay, Jerry Zhengjie Xu, Yixing Wang, Seung Hyun Lee, Andrew Christopher Scheffer, Stanley Cheng-Lin Hsieh, Ye Li, Sihan Xu Postdocs: Iksung Kang, Amir Rahimi, Kwan-Yee Lin, Yan Xu, Seulki Park, Gustavo Perez, Osher Azulay Note: I look for motivated and thoughtful postdocs and Ph.D. students in computer vision, robotics, and machine learning. Strong math / debugging / communication skills are desired. Please read my papers to get a sense if we can develop shared vision. | |||||||||||||||||||||||||||||||||||
Alumni |
Ph.D. Students
Postdocs: Sangwoo Mo, Fei Pan, Sangryul Jeon, Dong-Jin Kim, Nils-Steffen Worzyk, Yunhui Guo, Saeed Seyyedi, Sascha Hornauer, Rudrasis Chakraborty, Qian Yu, Zhirong Wu, Ziwei Liu, Caigui Jiang, Matthias Demant, Seyed Ali Amirshahi, Dimitri Lisin, Christina Pavlopoulou Graduate Students: Brian Wang, Saicharan Bandikallu, Youren Zhang, Oliver Wang, Gaurav Kaul, Daniel Chun-Hsiao Yeh, Tony Long Lian, Girish Chandar Ganesan, Ge Zhang, Qingyi Chen, Frank Xudong Wang, Naren Doraiswamy, Xinlei Pan, Daniel Lin, Haoran Guo, Galen Chuang, Yifei Xing, Arian Ranjbar, Jesper Haahr Christensen, Jianqiao Ni, Michele Winter, Sebastian Palacio, Undergraduate Students: Leon Maksin, Qianqi Yan, Matthew Wang, Tejasvi Kothapalli, Joshua Levine, Daniel Zeng, Ke Li, Runtao Liu, Shuai Liu, Emily Hsiao, Alice Duan, Lu Yu, Pengyuan Chen, Wayne Li, Lucy Yang, Borong Zhang, Vinay Ramasesh, Noah Golmant, Renee Sweeney, Riley Edmunds, William Guss, Asha Anoosheh | |||||||||||||||||||||||||||||||||||
Links |
Wolverine,
HR,
MCommunity,
M-Reports,
Compute Usage,
MIDAS,
MICDE
Faculty Dashboard, CSE Intranet, Student Applications, CSE Courses Enrollment CoE Rooms, Online Purchase System, M-Market, GET, Faculty Meal, Group Meeting UCB EECS, Redwood Seminar CLIMB, CITRIS, Brilliance New Yorker, New York Times, Economist, Adobe Stock, OED Parks and Recreation, Ann Arbor Corridor, Rec & Ed, Art Center, Ann Arbor Family Portal, YMCA, Bluelake, Greenhills schedule, GryphOn, Smash Boom Best, UMS, Michigan Sports Camps, UM Youth Hub, UM PPLP, 2023 I1 I2 I3, 2024 PPLP UM Health, UofM, My Chart, BCBS, Dental, Delta, FSA Native Landscape, Google Calendar Sync |
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