3D Scene Cognition and Multi-Modal Learning

Professor Huimin Ma - Associate professor of Department of Electronic Engineering of Tsinghua University
Data Science

Date: -
Location: Eurecom

Title of the talk : 3D Scene Cognition and Multi-Modal Learning Abstract How to extract knowledge of objects in complex environment is a challenging task. This lecture introduces prof. Ma’s work on knowledge based object detection in autonomous driving, which includes cognitive modal, salient object detection, semantic structure model, multi-modal and multi-view learning. The cognitive modal of “thinking in 3D”achieved outstanding performance on KITTI, VOC, and Cityscapes datasets, and published in TPAMI, TIP, PR, CVPR, ICCV, etc. Biography Huimin Ma is an associate professor of Department of Electronic Engineering of Tsinghua University, and the director of 3D Image Lab. She worked as a visiting scholar in University of Pittsburgh in 2011. She is also the vice-chairman and secretary-general of China Society of Image and Graphics. Her research and teaching interests are 3D image cognition theory and visual perception of autonomous driving. She introduces semantic priors of cognitive psychology into machine learning, and puts forward the method of “thinking in 3D”to study object detection and recognition in complex scenes. She achieved the second class prize for the Technical Invention Award of the Ministry of Education of China and silver medal in Geneva International Invention Exhibition in 2017, the highest award of AI of China (Wu Wenjun artificial intelligence science and technology innovation award, First Class) in 2016. Her team achieved top performance in the international evaluation of object detection for autonomous driving on KITTI Benchmark from 2015 to 2017.