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 [...]

VASC Seminar
Assistant Research Professor
Robotics Institute,
Carnegie Mellon University

Challenges Facing Computational Face

GHC 6501

Abstract: Recent advances in computational face research make possible a growing range of scientific, behavioral, and commercial applications. Many companies are focusing on the future of computational face products and services, but number of critical research questions remain to be solved. These include 3D face alignment from 2D image, face analysis under extreme pose variation [...]