Kai Kang

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INFO

Computer Vision/Machine Learning R&D Engineer, Apple Inc.

Video Engineering Group

Email: myfavouritekk AT gmail DOT com

Site: kangk.ai

Resume

Google Scholar

Publications

RESEARCH INTERESTS

Computer Vision

Crowd Behavior Analysis

Video Object Detection

Deep Learning

EDUCATION

Sep. 2009 - July 2013

University: University of Science and Technology of China (USTC)

School: School of the Gifted Young

Department: Department of Optics and Optical Engineering

Degree: B.S. in Optics

Aug. 2013 - Sept. 2017

University: The Chinese University of Hong Kong (CUHK)

Department: Department of Electronic Engineering

Supervisor: Prof. Xiaogang Wang and Prof. Hongsheng Li

Degree: PhD

EXPERIENCES

Feb. 2012 - Nov. 2012

Team leader of USTC-Software team participating in iGEM competition (International Genetically Engineered Machine Competition)

Project Topic: Reverse Engineering for Biological Regulatory Networks (REBORN)

Medal: Gold Medal

Prize: Best Software Tools Project

The International Genetically Engineered Machine (iGEM) Competition is a worldwide synthetic biology competition aimed at building simple biological system from standard, interchangeable parts and operate them in living cells. This year, 191 teams from 21 countries were registered, and 71 teams advanced to the world championship, in which 12 software team were registered, and 9 of them advanced to world championship.

Visit the official iGEM 2012 page for more details, and be sure to visit our team wiki for more about the project

Aug. 2013 - Sept. 2017

PhD candidate in Electronic Engineering, The Chinese University of Hong Kong

Supervisor: Prof. Xiaogang Wang and Prof. Hongsheng Li

Lab: Multimedia Laboratory, The Chinese University of Hong Kong

Research Areas: Object detection in videos, crowd behavior analysis, computer vision and deep learning

Details see publications.

Oct. 2017 - present

R&D Engineer in Computer vision/Machine learning at Apple Inc.

Group: Video Engineering

TALKS AND PRESENTATIONS

Nov, 2012: Reverse Engineering for Biological Regulatory Networks, iGEM World Jamboree, MIT, Cambridge, MA, USA

Oct, 2012: REBORN: Synthetic Biology Tools for Hackers, iGEM Asia Jamboree, HKUST, Hong Kong

Dec, 2015: Object Detection in Videos with Tubelets and Multi-Context Cues, ImageNet and MS COCO Visual Recognition Challenges Joint Workshop, ICCV 2015, Santiago, Chile. slides poster video

June, 2016: Object Detection from Video Tubelets with Convolutional Neural Networks, Computer Vision and Pattern Recognition (CVPR) Spotlight, Las Vegas, NV, USA. video

AWARDS

2012: Best Software Tools Project (USTC-Software), International Genetically Engineered Machine (iGEM) Competition World Championship, MIT, Massachusetts, USA

2012: Gold Medal (USTC-Software), International Genetically Engineered Machine (iGEM) Competition Asia Jamboree, HKUST, Hong Kong

2015: Winner (CUVideo), ImageNet: Large Scale Visual Recognition Challenge 2015 (ILSVRC2015), Task 3a: Object detection from video with provided training data. Official results page.

2016: Winner (CUVideo), ImageNet: Large Scale Visual Recognition Challenge 2016 (ILSVRC2016), Task 3c: Object detection/tracking from video with provided training data. Official results page.

COMPUTER SKILLS

Programming:

Mathematica, Matlab

C, C++, Python

More projects on GitHub.