Amir Zamir

Amir Zamir, an Assistant Professor of Computer Science at the Swiss Federal Institute of Technology, dives into the exciting advancements in computer vision. He discusses how the field has evolved, particularly in 3D vision and self-supervised learning, which reduces reliance on labeled data. The conversation touches on the challenges of navigating unseen spaces for robotics and the significance of multitask learning for improving network robustness. Zamir also explores the practical applications of these technologies, including their potential for autonomous driving and real-world problem-solving.