20160622-20刘小白:From 2D Image Recognition to 3D Scene Reconstruction

报告嘉宾：Xiaobai Liu（San Diego State University）

报告时间：2016年6月22日（星期三）晚21:00~22：00（北京时间）

报告题目：From 2D Image Recognition to 3D Scene Reconstruction: A Restricted Turing Machine 

主持人：  林倞（中山大学）

报告摘要：Computer Vision aims to answer two types of questions ‐ what and where ‐ that involve 2D Image Recognition and 3D Scene Reconstruction, respectively. This talk will cover several studies for solving these two tasks, either separately or jointly. It includes four major parts. Firstly, I will present an attributed grammar model for simultaneous 2D recognition and 3D reconstruction from single view, which achieved state‐of‐the‐art scene reconstruction results on several public benchmarks. Next, I will introduce how this unified framework can be applied to solve a number of novel problems, most of them are based on moving camera platforms (e.g. Robots). Thirdly, I will demonstrate a vision‐based intelligent system, i.e. Turing Machine, which is capable of understanding large‐scale videos, like human beings, and answering written questions. Last, I will discuss a few research directions that are potentially valuable in both academy and industry.

报告人简介：Dr. Xiaobai Liu is an Assistant Professor of Computer Science in the San Diego State University (SDSU) and directs the Computer Vision Lab. Dr. Liu is also an affiliate faculty member of the Center for Vision, Cognition, Learning and Autonomy (VCLA), University of California at Los Angeles (UCLA). From June 2011 to August 2015, he worked as a Postdoctoral Researcher in the Department of Statistics, UCLA. He received his Ph.D from the Hua‐Zhong University of Science and Technology, Wuhan, China. His research interests fall in the fields of computer vision, machine learning and multimedia computing. Dr. Liu has published more than 35 peer‐reviewed articles in top conferences (CVPR, ICCV, etc.) and leading journals (PAMI, TIP etc.), for most of which he was the leading author. He has been recognized by a number of awards, including the Outstanding PhD Thesis Award by the China Computer Federation (CCF), and the Best Paper Award by ACM Computing Review. He is actively working as Technical Committee Member or Reviewer for most of the Conferences and Journals in his fields.