Hello

Thanks for visiting my website.

I am an MSCV student at Carnegie Mellon University, advised by Prof. Shubham Tulsiani. Before joining CMU, I worked as a Data Scienist at Couture AI where I deployed AI algorithms at scale for visual, audio and text domains.

I received B. E. (Hons.) in Computer Science from BITS Pilani in 2019. Subsequently, I worked as a Research Assistant with Prof. Venkatesh Babu (VAL, IISc) where I studied data and compute efficient techniques for Knowledge transfer and Robustness across domains and tasks. Here are my publications.

In the past, I have also been fortunate to work with outstanding researchers in India at BITS Pilani, Samsung Research and CEERI.


Highlights

[Nov 2022] Submitted 1 paper to CVPR 2023.

[Nov 2022] Serving as a Reviewer for CVPR 2023. Check out How to write a good review? (CVPR 2020 tutorial)

[Oct 2022] Served as a Reviewer for Neurocomputing journal.

[Aug 2022] Check out Pytorch Boiler a simple boilerplate code for training pytorch models (< 50-lines).

[Jun 2022] Served as a Reviewer for NeurIPS 2022.

[May 2022] Started my summer internship at Cruise LLC. Self-driving cars, yay!

[May 2022] Check out our latest work on MultiGAN-distillation and baseline results on Sparse-View 3D Reconstruction.

[Jan 2022] Working with Prof. Shubham Tulsiani on Sparse-View 3D Reconstruction. Project page.

[Oct 2021] Received the NeurIPS 2021 Outstanding Reviewer award (top 8% of reviewers).

[Aug 2021] Started my MS in Computer Vision at Carnegie Mellon University.

[Jul 2021] Served as a Reviewer for NeurIPS 2021 and Pattern Recognition journal.

[Dec 2020] Check out the overview, Sketch-based image retrieval demo, and code release of SImpAl (NeurIPS).

[Oct 2020] Served as a Reviewer for Pattern Recognition.

[Oct 2020] I have joined Couture AI as a Data Scientist.

[Sep 2020] One paper accepted in NeurIPS 2020. Congrats to my co-authors at VAL and CMU – Jogendra, Durgesh, Ambareesh and Prof. Venkatesh! Paper title: “Your Classifier can Secretly Suffice Multi-Source Domain Adaptation”.

[Aug 2020] Check out the C-Template Library (generic programming in C) and the Back-Blur project (background removal / blurring).

[Jul 2020] One paper accepted in ECCV 2020. Congrats to my co-authors at VAL and CMU – Jogendra, Rahul, Ambareesh and Prof. Venkatesh! Paper title: “Class-Incremental Domain Adaptation”

[Jun 2020] Submitted 1 paper to NeurIPS 2020.

[Jun 2020] I will be attending CVPR ’20. I thank Prof. Venkatesh and IISc, Bangalore for sponsoring my registration!

[Apr 2020] One paper accepted in CVPR 2020 Workshop. Congrats to my co-authors at VAL – Vivek, Ambareesh and Prof. Venkatesh! Paper title: “Plug-and-Pipeline: Efficient Regularization for Single-Step Adversarial Training”

[Apr 2020] Served as a Pre-conference Volunteer for the 8th International Conference on Learning Representations (ICLR ’20).

[Mar 2020] Our paper “Towards Inheritable Models for Open-set Domain Adaptation” has been accepted for Oral presentation at CVPR 2020.

[Mar 2020] Submitted 1 paper to ECCV 2020.

[Feb 2020] Two papers accepted in CVPR 2020. Congrats to my co-authors at VAL – Jogendra, Rahul, Ambareesh and Prof. Venkatesh! Papers Titled: “Towards Inheritable Models for Open-set Domain Adaptation”, and, “Universal Source-Free Domain Adaptation”. Find them here.

[Feb 2020] I will be conducting a DLCV lecture on PyTorch. 11:30 – 1 PM on Wednesday, Feb 12th, 2020. Here’s the Colab Notebook.

[Dec 2019] Check out Deep Learning for Computer Vision – A Beginner’s Checklist and Resources for some Stanford’s AI Courses

[Dec 2019] I will be attending NCVPRIPG ’19. I thank Prof. Venkatesh and IISc, Bangalore for sponsoring my registration, travel & stay!

[Nov 2019] Submitted 2 papers to CVPR 2020.

[Oct 2019] Served as a Reviewer for the 7th National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG ’19).

[Sep 2019] Submitted 1 paper to ICLR 2020.

[Sep 2019] Submitted 1 paper to AAAI 2020.

[Jul 2019] Received my B. E. (with Honors) in Computer Science, from Birla Institute of Technology and Science at Pilani.

[Jun 2019] I am one of the very few Undergraduate students selected for the 3rd workshop on Brain, Computation, and Learning (BCL 2019) hosted at IISc, Bangalore.

[Jun 2019] I have joined Video Analytics Lab, IISc as a Research Assistant.

[May 2019] Submitted 1 paper to NeurIPS 2019.

[May 2019] Submitted my undergraduate thesis on the topic “Unsupervised Domain Adaptation: An Online Learning Scenario”.

[Jan 2019] Pursuing my undergraduate thesis under Prof. Venkatesh Babu, IISc.

[Jul 2019] I will be leading the AI Subsystem at Sally Robotics.

[Aug 2018] I will be pursuing a research project at CEERI, Pilani as an Undergraduate RA under the guidance of Prof. Santanu Chaudhury.

[May 2018] BITS ACM has received the Outstanding Recruitment Program Award by ACM. Congratulations team!

[Apr 2018] I will be joining Samsung Research, Bangalore as a summer intern.

[Jan 2018] I will be pursuing a research project at BITS Pilani as an Undergraduate RA under the guidance of Prof. Vandana Agarwal.

[Aug 2017] I will be pursuing a research project at CEERI, Pilani as an Undergraduate RA under the guidance of Dr. Dhiraj Sangwan.

[Apr 2017] I will be joining CEERI, Chennai as a summer intern.

[Mar 2017] I will be serving as the BITS ACM Design Chair for the session 2018-2019.

[Jan 2017] BITS ACM has received the Best Student Chapter Award by ACM India. Congratulations team!

[Aug 2016] I will be serving as Chief Design Officer for Conquest 2017.

[Feb 2016] Participated in Startup Weekend at BITS Pilani. We presented our startup idea, “Know Your College” – a one-stop solution to explore higher degree programs and faculties using an intuitive UI.

[Jan 2016] Joined Center for Entrepreneurial Leadership, a center of excellence at BITS Pilani promoting Entrepreneurship.

[Jan 2016] Joined BITS-ACM. I will be working on design and publicity for ACM events.

[Aug 2015] Joined NSS-CLP. This semester, I will be conducting classes in programming (C++, Python, HTML/CSS). Join me on Mon-Wed-Fri from 4-6 PM at PRC.

[Aug 2015] Joined the Department of External Affairs, APOGEE. I will be working on Aarohan 2016, an international Science and Math examination.

[May 2015] Received an All-India-Rank under 2500 among 1.3L candidates in JEE (Adv), and a BITSAT score of 391/450. I will be joining BITS Pilani.


A summary of my past work

For details, here are my lists of publications, work experience, and the projects I’ve worked on in the past.


Other Interests

When I’m not working, I usually find myself practicing Carnatic Vocal Music and playing the Venu (Carnatic Flute). I’m a huge fan of Sandbox & Open world games (especially Minecraft!). I started playing Chess during the lockdown.