Amir Zamir

Amir Zamir is a Tenure Track Assistant Professor of computer science at the Swiss Federal Institute of Technology, Lausanne (EPFL). His research interests are broadly in machine learning and AI, particularly in computer vision, multimodal learning, and embodied vision. Before joining EPFL in 2020, he was affiliated with UC Berkeley, Stanford, and UCF. His work has been recognized with paper awards at SIGGRAPH 2022, CVPR 2020, CVPR 2018, CVPR 2016, and the NVIDIA Pioneering Research Award 2018, PAMI Everingham Prize 2022, and ECCV/ECVA Young Researcher Award 2022. His research has been covered by press outlets such as The New York Times and Forbes. He was also the computer vision and machine learning chief scientist of Aurora Solar, a Forbes AI 50 company, from 2015 to 2022 and advises various companies.

Amir Zamir is a Professor of Computer Science at EPFL with expertise in Computer Vision, Multimodal Learning, Machine Learning, and Robotics. His research focuses on advancing understanding and applications in areas such as 3D semantic parsing, embodied navigation, and multi-task learning. He has contributed to significant works including the THUMOS challenge, Gibson environment, and multi-modal masked autoencoders. His publications explore topics like action recognition, image localization, and structural-RNN for spatio-temporal learning. Zamir's work emphasizes the integration of vision and language, as well as the development of scalable datasets for multi-task vision tasks.