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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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
Saneem Ahmed Chemmengath, Samarth Bharadwaj, Soumava Paul, Suranjana Samanta, Karthik Sankaranarayanan
arXiv preprint

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)

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)