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Fifteen-minute Competition Overview Video
Kate Saenko · Samarth Mishra · Dina Bashkirova · Vitaly Ablavsky · Sarah Bargal · Rachel Lai · Piotr Teterwak · James Akl · Fadi Alladkani · Donghyun Kim · Berk Calli

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in VisDA 2022 Challenge: Sim2Real Domain Adaptation for Industrial Recycling »

Author Information

Kate Saenko (Boston University & MIT-IBM Watson AI Lab, IBM Research)
Kate Saenko

Kate is an AI Research Scientist at FAIR, Meta and a Full Professor of Computer Science at Boston University (currently on leave) where she leads the Computer Vision and Learning Group. Kate received a PhD in EECS from MIT and did postdoctoral training at UC Berkeley and Harvard. Her research interests are in Artificial Intelligence with a focus on out-of-distribution learning, dataset bias, domain adaptation, vision and language understanding, and other topics in deep learning. Past academic positions Consulting professor at the MIT-IBM Watson AI Lab 2019-2022. Assistant Professor, Computer Science Department at UMass Lowell Postdoctoral Researcher, International Computer Science Institute Visiting Scholar, UC Berkeley EECS Visiting Postdoctoral Fellow, SEAS, Harvard University

Samarth Mishra (Boston University)
Dina Bashkirova (Boston University)
Vitaly Ablavsky (University of Washington)
Sarah Bargal (Boston University)
Rachel Lai (Boston University)
Piotr Teterwak (Boston University)
James Akl (Worcester Polytechnic Institute)
Fadi Alladkani (Worcester Polytechnic Institute)
Donghyun Kim (Boston University)
Berk Calli

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