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【学术报告】High Dimensional Data Recovery

发布日期:2024-01-12    点击:

学术报告

High Dimensional Data Recovery

Jun Yang杨骏多伦多大学

报告时间:2024115日星期一下午 1500-1700


报告地点:沙河校区国实E602


报告摘要: Object detection and 6D pose estimation is an important problem in many applications such as robotic manipulation, autonomous driving and augmented reality. In this talk, we present several methods to solve this problem using deep learning techniques and non-linear optimization approaches. We provide our mathematical formulations and solutions for this task. The results and demo are also provided to demonstrate the effectiveness of our methods.


报告人简介:Jun Yang is a Ph.D candidate in Institute for Aerospace Studies (UTIAS) and Robotics Institute, University of Toronto. Before joining University of Toronto, he was a Research Scientist at R&D department, Epson Canada Ltd, Canada. His research interests include computer vision, machine learning, optimization and robotics, with a focus of visual perception for robotic manipulation.


邀请人:杨卓琴


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