Snehal Singh Tomar

IIT Madras EE | Resume



I am a final year MS (by Research) student in Electrical Engineering at Indian Institute of Technology Madras. I am a part of the Image Processing and Computer Vision (IPCV) Lab and am grateful for being advised by Prof. A.N. Rajagopalan. My research interests are in Deep Generative Visual Models and Self-Supervised Deep Learning methods for Computer Vision applications. I also enjoy working on problems in Computational Photography. I am supported by Ministry of Education, Govt. of India through a Half Time Research Assistantship (HTRA).

As an undergrad, I did several research internships with Prof. Shubhendu Bhasin at IIT Delhi, working in the domain of Control Systems and Robotics. I was also a part of my university’s AI Robotics Team, where we worked on building an autonomous car.


Nov 21, 2022 I have been awarded the IIT Madras Institute Research Award for excellence in research! I am honored to be selected among the top 3 out of the 746 MS students at IITM, based on research.
Jun 19, 2022 I am presenting at CV4ARVR and attending CVPR 2022 in-person from June 19 to June 24, 2022! Please drop by at our poster (between stands 8b-27b in poster area) during the poster session from 1:00 pm to 2:30 pm on June 20, 2022. Many thanks to the IITM Institute Travel Grant for making this possible!



  1. Poly-INR: Towards Capturing Multiplicative Interactions for Enhanced Implicit Neural Representation of Videos
    More details coming soon.
  2. Latents2Semantics: Localized Style Editing through Latent Space Disentanglement
    Snehal Singh Tomar, and A.N. Rajagopalan
    More details coming soon.

Accepted / Published

  1. Exploring the Effectiveness of Mask-Guided Feature Modulation as a Mechanism for Localized Style Editing of Real Images (Student Abstract)
    Snehal Singh Tomar, Maitreya Suin , and A.N. Rajagopalan
    37 th AAAI Conference on Artificial Intelligence 2023
  2. Hybrid Transformer Based Feature Fusion for Self-Supervised Monocular Depth Estimation (Oral)
    Snehal Singh Tomar, Maitreya Suin , and A.N. Rajagopalan
    ECCV Workshop on Advances in Image Manipulation (AIM), Tel-Aviv 2022
  3. Latents2Segments: Disentangling the Latent Space of Generative Models for Semantic Segmentation of Face Images
    Snehal Singh Tomar and A.N. Rajagopalan
    CVPR Workshop on Computer Vision for Augmented and Virtual Reality, New Orleans, LA 2022
  4. Python-Based Fuzzy Classifier for Cashew Kernels (Best Paper Award)
    Tomar, Snehal Singh, and Narendra, V. G.
    Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 816. Springer, Singapore 2019
© Copyright 2022 Snehal Singh Tomar. Last updated: December 28, 2022.