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QCIS Seminar: Graphical Models for Visual Perception - Dr Chaohui Wang, Max Planck Institute, Germany

Presenter: Dr Chaohui Wang, Perceiving Systems Dept, Max Planck Institute for Intelligent Systems, Germany (invited by Prof Dacheng Tao).

Abstract: In this talk, I will present our research related to graphical models for visual perception.Part 1 will show our unified models/approaches for a set of fundamental computer vision problems related to 2D, 2.5D and 3D vision. They include 2.5D layered modeling and its application in simultaneous segmentation, tracking and depth ordering from 2D image sequences, pose-invariant statistical shape modeling and its applications in object segmentation from 3D volumes, shape deformation modeling and non-rigid 3D surface registration/tracking, 3D shape reconstruction from 2D images, illumination estimation and shadow detection, etc.. In Part 2, I will introduce a novel higher-order Markov Random Fields framework to integrate non-local statistics within the graphical model (referred to as NC-MRF), as well as state-of-the-art solutions built on such a modeling/inference framework for the challenging problems of class-specic image segmentation and template-based 3D facial expression tracking.

Short Bio: Dr Chaohui Wang is currently a postdoctoral researcher, working with Prof Michael J Black, at the Perceiving Systems Department, the Max Planck Institute for Intelligent Systems (Germany). Previously, he was a postdoctoral researcher, working with Prof Stefano Soatto, at the Vision Lab, University of California, Los Angeles (USA). He received his bachelor's degree from Xi'an Jiaotong University (China) in 2004, his engineer's degree (Diplôme d'Ingénieur) from Université de Technologie de Troyes (France) in 2006, his MSc degree from École Centrale Paris/École Normale Supérieure de Cachan (France) in 2007, and his PhD degree, under the supervision of Prof Nikos Paragios, from Ecole Centrale Paris (France) in 2011. During his PhD studies, he was also a member of the GALEN group, which is a joint research team between Ecole Centrale Paris and INRIA Saclay. More detail about his research work can be found at: http://files.is.tue.mpg.de/chwang/index.php.

 

 

Date:
29 November 2013
Time:
11:00 - 12:00
Location:
City - Broadway CB02 Level 3, Lecture Room 17
Audience:
All Welcome
Contact:
Barbara Munday

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