Snehal Singh Tomar

CS Ph.D. student at Stony Brook University | Resume

ProfilePhoto.jpeg

stomar@cs.stonybrook.edu

Hello! I am a first-year Ph.D. student in Computer Science at Stony Brook University, working with Prof. Klaus Mueller and Prof. Dimitris Samaras. My research focuses on Interpretable Deep Generative Models for Computer Vision. I also explore Computational Photography and 3D Computer Vision. Additionally, I am an AI evangelist at SolveitNOW, a startup revolutionizing peer learning for K-12 students.

Previously, I was a pre-doctoral fellow with the Visual and Embodied AI group at TCS Research, working on 3D mesh animation using Self-Supervised Graph Neural Networks. I earned my MS in Electrical Engineering from the Indian Institute of Technology Madras, receiving the Institute Research Award. I conducted my research at the IPCV Lab with Prof. A.N. Rajagopalan. During my undergrad, I interned with Prof. Shubhendu Bhasin at IIT Delhi, focusing on Control Systems and Robotics. I was also part of my university’s AI Robotics Team, working on an autonomous car.

News

02.2024 PNeRV has been accepted to the Transactions on Machine Learning Research (TMLR)!
01.2024 I started my Ph.D. in CS @ Stony Brook!
12.2023 Latents2Semantics has been accepted at AAAI-2024: AI for Digital Human Workshop as an oral paper! I have also been selected for the AAAI-24 Travel Scholarship!
11.2023 I will be serving as a reviewer for CVPR 2024!
06.2023 I am excited to be starting at TCS Research as a Pre-doctoral fellow!
11.2022 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.
06.2022 I am presenting at CV4ARVR and attending CVPR 2022 in-person from June 19 to June 24, 2022! Many thanks to the IITM Institute Travel Grant for making this possible!

Peer-Reviewed Publications

  1. PNeRV: A Polynomial Neural Representation for Videos
    Transactions on Machine Learning Research (TMLR) 2024
  2. Latents2Semantics: Leveraging the Latent Space of Generative Models for Localized Style Manipulation of Face Images (Oral)
    Snehal Singh Tomar, and A.N. Rajagopalan
    38 th AAAI Conference on Artificial Intelligence 2024 - Workshop on AI for Digital Human
  3. 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
  4. 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
  5. 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
  6. 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