Address: 64 Greens Radius Developers, Santacruz, Mumbai, India
Hi! I completed my undergrad in Mechanical Engineering at Vellore Institute of Technology.
My research areas are generative models, medical imaging and autonomous driving.
More broadly, I am interested in deep learning and computer vision.
The communities I follow are NeurIPS, CVPR, ICCV, ECCV, BMVC, WACV and MICCAI.
If you are interested in doing a research collaboration, please contact me.
My hobbies are travelling, playing guitar and cooking (also eating).
1. Efficient neural network architectures
2. Uncertainty quantification
3. Generative models
4. Semantic/Instance segmentation
5. Attention mechanism
6. Drug discovery
[6th June 2021] 1 paper accepted at Distribution-Free Uncertainty Quantification workshop (ICML 2021).
[31st May 2021] 1 paper accepted at Artificial Intelligence for Autonomous Driving workshop (IJCAI 2021).
[23th May 2020] Successfully defended my bachelors thesis.
[5th Dec 2019] Will be assisting Professor Madhu Viswanatham as teaching assistant for course CSE1002 (Object Oriented Programming).
[14th Sep 2019] Speaking on Automated Machine Learning at RMZ Millenia Business Park in Chennai, India.
[2nd Dec 2018] Will be assisting Professor Gayathri P as teaching assistant for course CSE2003 (Data Structures and Algorithm).
[6th Oct 2018] Speaking on Ethics of Artificial Intelligence at Channa Reddy Auditorium in Vellore, India.
Research Papers and Preprints
Uncertainty Quantification using Variational
Inference for Biomedical Image Segmentation
Semantic Segmentation With Multi Scale Spatial
Attention For Self Driving Cars
Bayesian Multi Scale Neural Network for Crowd
Monocular Depth Estimation Using Multi Scale
Neural Network And Feature Fusion
Generate Novel Molecules With Target Properties
Using Conditional Generative Models
DMSANet: Dual Multi Scale Attention Network