Krishna Kumar Singh

PhD student
Computer Vision and Machine Learning

I am a Computer Science PhD student at the University of California Davis, advised by Prof. Yong Jae Lee.
Previously, I finished my Masters in Robotics at Carnegie Mellon University, advised by Prof. Alexei Efros and Prof. Kayvon Fatahalian . I did undergrad in Computer Science and Engineering at IIIT Hyderabad under supervision of Prof. P J Narayanan .
I was research intern at Intel Labs and was Carnegie Mellon’s Robotics Institute Summer Scholar (RISS) under Prof. Martial Hebert . I will be interning this summer at Allen Institute for Artificial Intelligence (AI2).



Who Will Share My Image? Predicting the Content Diffusion Path in Online Social Networks
Wenjian Hu, Krishna Kumar Singh*, Fanyi Xiao*, Jinyoung Han, Chen-Nee Chuah, Yong Jae Lee
Arxiv, 2017
* equal contribution

Hide-and-Seek: Forcing a Network to be Meticulous for Weakly-supervised Object and Action Localization
Krishna Kumar Singh, Yong Jae Lee
International Conference on Computer Vision (ICCV), 2017

Identifying First-Person Camera Wearers in Third-Person Videos
C. Fan, J. Lee, M. Xu, K. K. Singh , Y. J. Lee, D. J. Crandall, and M. S. Ryoo
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017

End-to-End Localization and Ranking for Relative Attributes
Krishna Kumar Singh, Yong Jae Lee
European Conference on Computer Vision (ECCV), 2016

Track and Transfer: Watching Videos to Simulate Strong Human Supervision for Weakly-Supervised Object Detection
Krishna Kumar Singh, Fanyi Xiao, Yong Jae Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016

KrishnaCam: Using a Longitudinal, Single-Person, Egocentric Dataset for Scene Understanding Tasks
Krishna Kumar Singh, Kayvon Fatahalian, Alexei A. Efros
Winter Conference on Applications of Computer Vision (WACV), 2016

Storytelling Patches: Predicting Tourist Spots in a City
Aayush Bansal, Krishna Kumar Singh
ECCV Workshop on Storytelling with Images and Videos (VisStory), 2014

Geometry Directed Browser for Personal Photographs
Aditya Deshpande, Siddharth Choudhary, P J Narayanan, Krishna Kumar Singh, Kaustav Kundu, Aditya Singh, Apurva Kumar
ACM Indian Conference On Vision, Graphics And Image Processing (ICVGIP), 2012 (oral presentation)

Hybrid Multi-Core Algorithms for Regular Image Filtering Applications
Shrenik Lad, Krishna Kumar Singh, Kishore Kothapalli, P J Narayanan
IEEE International Conference on High Performance Computing (HiPC) Student Research Symposium, 2012 (NVIDIA Best GPU Poster Award) [Poster]

Work Experience

Computer Vision Intern at Intel Labs (Summer 2015)
Worked on Video Summarization and Retrieval. Filed two patents.

Carnegie Mellon’s Robotics Institute Summer Scholar (RISS) under Prof. Martial Hebert (Summer, 2012)
Worked on Object Recognition in Different Illumination Conditions. [Poster]