Soumava Paul

Hi! Welcome to my website. I am a final year undergraduate student at Indian Institute of Technology Kharagpur, majoring in Electrical Engineering with a minor in Computer Science and Engineering.

I am interested in problems at the intersection of computer vision and machine learning. In the summer of 2019, I interned at IBM India Research Labs, Bangalore where I worked on novel zero-shot learning algorithms. My Bachelor's Thesis is on Surgical Video Analytics under the supervision of Prof. Debdoot Sheet. Please contact me over email for a more detailed resume.

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Research

Below is a summary of some of my major projects during my undergrad years.

Addressing Target Shift in Zero-shot Learning using Grouped Adversarial Learning
Under review at CVPR 2020

Grouped Adversarial Learning (gAL) can reduce effects of target shift in zero-shot learning algorithms.

Jointly Learning Convolutional Representations to Compress Radiological Images and Classify Thoracic Diseases in the Compressed Domain
Ekagra Ranjan*, Soumava Paul*, Siddharth Kapoor, Aupendu Kar, Ramanathan Sethuraman , Debdoot Sheet
ICVGIP, ACM, 2018   (Oral Presentation)
Code

Downscaling high resolution Chest X-Ray Images using an autoencoder (instead of usual interpolation techniques) leads to superior retention of important pathological features for thoracic disease classification.


(This, is more classy)