VASC Seminar
Prof. Jia Deng
Assistant Professor
University of Michigan

Toward Deep Geometric Image Understanding

Event Location: Newell Simon Hall 1507Bio: Jia Deng is an Assistant Professor of Computer Science and Engineering at the University of Michigan. His research focus is on computer vision and machine learning, in particular, achieving human-level visual understanding by integrating perception, cognition, and learning. He received his Ph.D. from Princeton University and his B.Eng. from [...]

VASC Seminar
Roozbeh Mottaghi
Research Scientist
Allen Institute for Artificial Intelligence (AI2)

Interactive Scene Understanding

Newell Simon Hall 1507

Abstract Despite recent progress, AI is still far from understanding the physics of the world, and there is a large gap between the abilities of humans and the state-of-the-art AI methods. In this talk, I will focus on physics-based scene understanding and interactive visual reasoning, which are crucial next steps in computer vision and AI. [...]

VASC Seminar
Jose Miguel Buenaposada
Associate Professor
Rey Juan Carlos University, Spain

Multi-class Boosting in Computer Vision

GHC 6501

Abstract: Boosting classifiers have been extensively used for learning multi-view single objects detectors (e.g. faces, cars or pedestrians) or in multiple object categories detectors. Object detection has been evolving from being specific for a given object category to multi-view or even being able to detect multiple categories at the same time. The usual framework for [...]

VASC Seminar
Yoshinori Dobashi
Associate Professor
Hokkaido University, Japan

Fun with Fluids

GHC 6501

  Abstract: Visual simulation of fluids has become an indispensable tool for computer graphics. Many fluid phenomena can be simulated by solving Navier-Stokes equations. In computer graphics, the NS equations are mostly used for simulating smoke, water and fire. However, it is useful for other different purposes. In this talk, we show our usage of [...]