Nakul Agarwal

I am a Machine Learning Research Engineer at Honda Research Institute, USA working on challening problems related to computer vision and machine learning with application to autonomous navigation and Advanced Driver Assistance Systems (ADAS).

I graduated with a M.S. degree in EECS from UC Merced where I was working in the Vision and Learning Lab under the supervision of Prof. Ming-Hsuan Yang. 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.

News

[NEW] 07 / 2020: One paper on Unsupervised Domain Adaptation accepted in BMVC'20!
[NEW] 03 / 2020: One paper accepted in CVPR'20 workshop!
08 / 2018: Our paper on "Connecting Visual Experiences using Max-flow Network with Application to Visual Localization" is out on arXiv!
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

	Unsupervised Domain Adaptation for Spatio-Temporal Action Localization Nakul Agarwal, Yi-Ting Chen, Behzad Dariush, Ming-Hsuan Yang Proceedings of British Machine Vision Conference (BMVC), 2020 project Short Version: VL3 Workshop, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
	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

Course Projects

Exploring Action Recognition without using Deep Learning
Nakul Agarwal, 2019
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Content Based Image Retrieval
Nakul Agarwal, 2018
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Simultaneous Localization and Mapping using Extended Kalmann Filter
Nakul Agarwal, Aditya Ranganath, 2017
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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