Nakul Agarwal

I am a MS student (2017-) in EECS at UC Merced, where I work in the VLLab under the supervision of Prof. Ming-Hsuan Yang. My research interests include Computer Vision, Machine Learning and Robotics. Prior to joining UC Merced as a graduate student, I worked with Prof. C. V. Jawahar and Prof. Vineeth N. Balasubramaniam at Centre for Visual Information Technology in IIIT Hyderabad, India. I received my B.E. (Bachelor of Engineering) degree from Netaji Subhas Institute of Technology, University of Delhi in 2016.

Email / CV / Google Scholar

News

[NEW] 08 / 2018: Our paper on "Connecting Visual Experiences using Max-flow Network with Application to Visual Localization" is out on arXiv!
[NEW] 06 / 2018: Our paper on "Improving Multiclass Classification by Deep Networks using DAGSVM and Triplet Loss" has been accepted at Pattern Recognition Letters 2018!
05 / 2018: Started my internship at Honda Research Institute, Mountain View
08 / 2017: Started my M.S. at UC Merced

Research

Improving Multiclass Classification by Deep Networks using DAGSVM and Triplet Loss
Nakul Agarwal, Vineeth N. Balasubramaniam, C. V. Jawahar
Pattern Recognition Letters, 2018
pdf bibtex

Connecting Visual Experiences using Max-flow Network with Application to Visual Localization
Nakul Agarwal*, A.H. Abdul Hafez*, C. V. Jawahar
arXiv, 2018
* equal contribution
pdf bibtex

Teaching

Software Engineering (CSE 120), UC Merced
Teaching Assistant (TA) with Chi Yan Leung
Fall 2017

Computer Architecture (CSE 140), UC Merced
Teaching Assistant (TA) with Chi Yan Leung
Spring 2018

Intro to Digital Image Processing (CSE 107), UC Merced
Teaching Assistant (TA) with Shawn Newsam
Fall 2018

Thanks to Jon Barron for the webpage design!