Dr. Yang Wang
Speaker: Yang Wang, University of Illinois at Urbana-Champaign
Title: Discriminative Latent Variable Models for Visual Recognition
Abstract:
Discriminative latent variable models, in particular those involving structured latent variables, are emerging as a class of powerful tools for solving many computer vision problems that involve complex structures. In this talk, I will give an overview of several of our recent work in adapting these models for solving various problems in visual recognition, including part-based models for human action recognition, latent pose for still image action recognition, group activity recognition and image annotation. I will also mention applications in other areas(e.g. NLP) that can be addressed by these models.