Chethan M Parameshwara

I am a Ph.D. student in the Neuroscience and Cognitive Science (NACS) program at the University of Maryland, College Park (UMD) , working with my advisors Prof. Yiannis Aloimonos and Dr. Cornelia Fermüller in Perception & Robotics Group

Prior to joining the Ph.D. program, I received a Master's degree in Robotics Engineering from A. James Clark School of Engineering at UMD and Bachelor's degree in Electronics and Communication Engineering from Visvesvaraya Technological University, India.

Since then I've had the pleasure to work at:

CV /  Email  /  GitHub  /  Google Scholar  /  LinkedIn

News
Research

I am interested in computer vision, machine learning, and robotics. My current focus is to develop novel algorithms for solving visual navigation problems such as Motion Segmentation and Tracking, Simultaneous localization and mapping (SLAM) and Visual odometry in dynamic scenes using Neuromorphic Event-based cameras.

MOMS with Events: Multi-Object Motion Segmentation With Monocular Event Cameras
Chethan M. Parameshwara, Nitin J. Sanket, Arjun Gupta, Cornelia Fermüller, Yiannis Aloimonos
arXiv, 2020
arXiv

We propose a solution to multi-object motion segmentation using a combination of classical optimization methods along with deep learning and does not require prior knowledge of the 3D motion and the number and structure of objects.

EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras
Chethan M. Parameshwara*, Nitin J. Sanket*, Chahat Deep Singh, Ashwin V. Kuruttukulam, Cornelia Fermüller, Davide Scaramuzza, Yiannis Aloimonos (* equal contribution)
ICRA, 2020
project page / code / arXiv / video

We present a deep learning based solution for dodging multiple dynamic obstacles on a quadrotor with a single event camera and onboard computation.

Event-based Moving Object Detection and Tracking
Anton Mitrokhin, Cornelia Fermüller, Chethan M. Parameshwara, Yiannis Aloimonos
IROS, 2018
project page / code / arXiv / video

We present a new approach to moving object tracking with asynchronous event cameras.

Teaching
panoroma CMSC733 : Classical and Deep Learning Approaches for Geometric Computer Vision (Spring 2020)

CMSC426 : Computer Vision (Fall 2020, Fall 2019, Fall 2018)

CMSC434 : Human Computer Interaction (Spring 2019)
Service
gsglogo Reviewer: RAL'20, ICRA'20

NACS Representative, UMD Graduate Student Government (2020-Present)

Co-Chair, NACS Grant Review Committee (2019-Present)

Staff Member, Neuromorphic Cognition Engineering Workshop (July 2018)

Last updated on Aug 31, 2020. Got this minimalist website design from Jon Barron