Yu Cao

Yu Cao 曹宇

PhD Student

Computer Science Department, New York University, New York, NY

I am a second-year PhD student in Computer Science Department, New York University. Before joining NYU, I had my B.E and M.S in Beihang University.

Before coming to NYU, my research interest was in machine vision applying conventional geometry and computer vision using machine learning methods. My master thesis is on the topic of Indoor Navigation Oriented Visual SLAM Technology. I spent a great half year on internship in Face++. Now I am with the NYU system group. You can find my CV here.

Recent

Teaching Assistant of NYU 19Fall Distributed Systems.

Applied Scientist Intern in AWS Rekognition Team, Seattle on multi-lingual text recognition in 2019 summer.

Competition Winner of Atomic Video Action Recognition Challenge with human action recognition mean Average Precision of 0.2108.

Kaggle Challenge Proposed models exceeding STOA performance of Galaxy Zoo Morphological Class Regression with Root Mean Square Error of 0.07484.report code

Publications and tech report

		Human Centric Spatio-Temporal Action Localization Jianwen Jiang, Yu Cao, Lin Song, Shiwei Zhang, Yunkai Li, Ziyao Xu, Qian Wu, Chuang Gan, Chi Zhang, Gang Yu Tech Report of ActivityNet Large Scale Activity Recognition Challenge 2018 (CVPRW), 2018. pdf
		Fast and Resource-efficient Hardware Implementation of Modified Line Segment Detector Fuqiang Zhou^, Yu Cao^, Xinming Wang IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2018 IEEE
		Minimal Non-Linear Camera Pose Estimation Method Using Lines for SLAM Application Yu Cao, Haishu Tan, Fuqiang Zhou IEEE Winter Conference on Applications of Computer Vision (WACV), 2018. IEEE