Archana Swaminathan

Archana Swaminathan

First Year PhD Student

University of Maryland, College Park

About Me

Hi! I am Archana Swaminathan, a first year Computer Science PhD student at the University of Maryland, College Park , and being mentored by Prof. Abhinav Shrivastava. I’m currently exploring self-supervised learning for many different applications in computer vision and I’m incredibly interested in working in 3D computer vision as well.

In the past, I’ve had experience with working with Deep Learning in many projects, some of which are: 3D vision, human shape and pose estimation, dataset benchmarking, predictive modelling for time series data, image encryption and decryption, compressive image sensing and denoising, semantic segmentation and object recognition.

I’m very interested in research in the areas of Image Processing and Computer Vision, and wish to explore different applications in these fields as I motivate and prepare myself for a career as a researcher.

In my free time, I like to read books, play badminton and work out. I love travelling and eating different desserts that mostly comprise of chocolate. I can’t wait to go exploring once this pandemic is done!

Feel free to contact me if you’d like to know more about my work!


  • Computer Vision
  • Machine Learning
  • Image/Video Processing


  • BE in Electronics and Instrumentation, graduated in 2021

    BITS Pilani

  • MSc. in Mathematics, graduated in 2021

    BITS Pilani

  • PhD. in Computer Science, 2022 - present

    University of Maryland, College Park




Graduate Teaching Assistant

University of Maryland, College Park

Aug 2022 – Present College Park, MD, United States
Teaching Assistant for the course CMSC 422: Introduction to Machine Learning at University of Maryland, College Park.

Faculty Research Assistant

University of Maryland, College Park

Sep 2021 – Jul 2022 College Park, MD, United States
Working under the guidance of Prof. Abhinav Shrivastava in his Perception and Intelligence Group.

Visiting Researcher

V-SENSE, Trinity College Dublin

May 2020 – Jul 2021 Dublin, Ireland
Worked under the guidance of Prof. Aljosa Smolic in his team of 20+ researchers in the V-SENSE group, in the domain of 3D Geometry and Deep learning, as part of my undergraduate thesis.

Summer Research Intern

Robert Bosch R&D

May 2019 – Jul 2019 Bengaluru, India
Worked on building Computer Vision algorithms for deployment of an end-to-end solution for product classification using very little training data.

Summer Intern

NTCL Western Regional Office

May 2018 – Jul 2018 Mumbai, India
Developed a forecasting and predicting model for the finance department of the company, as part of Practice School 1.


AI Summer School organised by Google Research

Was one of the top 150 applicants in the country to get selected for attending the Google AI Summer School. Will be taking part in a three-day series of lectures and panel discussions in the Computer Vision track.

Round 3 of Flipkart GRiD

Took part in the Flipkart GRiD Hackathon, a nationwide, prestigious machine learning hackathon.

  • Finished 37th in Round 1 (3rd in our university), out of 15,000 registereed teams, which was an online quiz
  • Got through Round 2, which was a Brief Idea Submission for building a Fashion Intelligence System for E-Commerce products.
  • Our idea got selected for Round 3, where we submitted a demo of the working end-to-end solution. Was one of the final 50 teams.
  • Results for National Finals awaited.

Blog Posts

How Google bowled me over with a Googly

A blog post about my experience at the very first edition of the Google AI Summer School

Summer School Series: Lecture 6 by Arsha Nagrani

This lecture was delivered by Arsha Nagrani, a recent Ph.D. graduate from Oxford University’s VGG group, and an incoming research scientist at Google Research, titled Multimodality for Video Understanding

Summer School Series: Lecture 5 by Rahul Sukthankar

This Lecture was presented by Rahul Sukthankar, a research scientist at Google Research and Adjunct Prof. at CMU. It was titled Deep Learning in Computer Vision

Summer School Series: Lecture 4 by Cristian Sminchisescu

This lecture was presented by Cristian Sminchisescu, a professor at Lund University and working at Google Research. The lecture was titled End-to-end Generative 3D Human Shape and Pose models, and active human sensing

Summer School Series: Lecture 3 by Vineet Gupta

This lecture was delivered by Vineet Gupta, a scientist working in the Machine Learning theory group in Google Brain, on Adaptive Optimization


Structural Damage Detection using ConvNets

Used ConvNets to detect tornado damage done to buildings, using semantic segmentation.

Contactless Gesture Recognition

A contactless gesture recognition system that uses IR Proximity Sensors to classify different hand gestures. Interfaced with VLC Media player to pause and play videos.

Image Encryption and Decryption using Artificial Neural Networks

Developed a novel algorithm for image encryption using Artificial Neural Networks.

Compressive Sensing and Denoising of Images using the Ramanujan Fourier Transform

Used the Ramanujan Fourier Transform to do compressive sensing and denoising of images in the Ramanujan domain