Nakul Agarwal

I am a Research Associate (post-graduate internship) at Honda Research Institute, San Jose. I recently graduated with a M.S. degree in EECS from UC Merced where I was working 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.

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News

•   02 / 2020:   I am actively looking for full-time positions in the field of artificial intelligence (computer vision, machine learning, deep learning, autonomous driving). Feel free to drop me an email!
• [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

SegRPN: Scale Aware Joint Object Detection and Semantic Segmentation
Nakul Agarwal, Wei-Chih Hung, Yi-Hsuan Tsai, Ming-Hsuan Yang
Manuscript, 2019
paper

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

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

Exploring Action Recognition without using Deep Learning
Nakul Agarwal, 2019
report

Content Based Image Retrieval
Nakul Agarwal, 2018
report

Simultaneous Localization and Mapping using Extended Kalmann Filter
Nakul Agarwal, Aditya Ranganath, 2017
report

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