I am a second-year CS Ph.D student at the University of Rochester, supervised by Chenliang Xu.
I got my bechalor degree from the University of Electronic Sience and Techonology of China.
My interest spans deep learning, machine learning, and computer vision.

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Wegmans 2403


Audio-Visual Event Localization in Unconstrained Videos
Yapeng Tian, Jing Shi, Bochen Li, Zhiyao Duan, Chenliang Xu
European Conference on Computer Vision (ECCV), 2018
project page/ code

We introduce audio-visual event localization to understand the interaction of vision and audio.

Boundary Vibration Control of Variable Length Crane Systems in Two Dimensional Space with Output Constraints
Xiuyu He, Wei He, Jing Shi, Changyin Sun
IEEE/ASME Transactions on Mechatronics (TMech), 2017

We demonstrate the lyapunov stability of the boundary control for the moving crane system in 2-D space.

Impact Damage Detection and Characterization using Eddy Current Pulsed Thermography
Yizhe Wang, Han Ke, Jing Shi, Bing Gao, Guiyun Tian
IEEE Far East NDT New Technology & Application Forum (FENDT), 2016

We use eddy current pulse thermography to detect impact damages of torque arm in aircraft brake system.


Differential Network for Video Object Detection
Jing Shi, Chenliang Xu
CSC 577 Advanced Topics in Computer Vision, 2017

For flow based video obejct detection, we propose the differential network to select the key frame. Then we adapt the sequential NMS to an incremental form so that it is both time-efficient and accurate.

Tencent AI Lab ,    Shenzhen,    May - Aug 2018

Advisor: Jia Xu, Boqing Gong
Project: Weakly supervised video grounding.


CSC 400 Problem Seminar CSC 440 Data Mining
CSC 454 Program Language Design and Implementation CSC 577 Advanced Topics in Computer Vision
CSC 446 Machine Learning CSC 484 Advanced Algorithms
CSC 455 Software Analysis and Improvement CSC 453 Dynamic Language and Software Development


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