In this talk we will discuss the state of the art in the field of data structure lower bounds and surprising connections b/t such lower bounds, circuit complexity, and cryptography
Qi will present his research and vision in understanding our perceptual nature and further leveraging it in immersive, interactive, and physics-based scenarios,.
Huaizu will discuss how to use the motion information as supervision to train deep neural networks, avoiding the tedious effort of collecting manual annotations.
Sarah will demonstrate how to address the challenges of low training data, knowledge integration, and interpretability for safety-critical, pervasive applications w/ low tolerance.
DEADLINE: MARCH 29, 2020 - If you are graduating before July 1, 2020 and want
to build a portfolio of professional AR/VR work while getting time to explore
your own creative ideas,