Automatic visual recognition: from pixels to machines that see, reason and act
27 January 2021
Speaker: Josef Sivic
Building machines that can automatically understand complex visual inputs is one of the central problems in artificial intelligence with applications in autonomous robotics, automatic manufacturing or healthcare. The problem is difficult due to the large variability of the visual world. In this talk, I will present some of our contributions to the recent progress in automatic visual recognition and discuss some of the key open challenges. The talk should be accessible to non-specialists in computer vision and will try to make connections to other research areas and groups at CIIRC including robotics, language understanding, and reasoning.
Slides from the seminar here.