Soumen Basu

Contact

Email:	soumen.basu@cse.iitd.ac.in / mail.basu.s@gmail.com
Phone:	+91 905 150 1506
Office:	II-A 405 (Bharti), Graphics and Vision Lab, IIT Delhi, 110016
Social Media:	LinkedIn Google Scholar

About Me

I'm currently in the job market! My CV/ Resume

I am a graduate (Ph.D.) student and Prime Minister's Research Fellow in the Department of Computer Science at Indian Institute of Technology, Delhi. My primary research interest is in Computer Vision and Deep Learning. I am particularly interested in effective deep learning with limited supervision for safety-critical tasks. I work on Un/ Semi/ Weakly Supervised Learning, Contrastive Learning, Curriculum-based Learning, and Explainable AI.

Prior to joining the Ph.D. program at IIT Delhi, I have worked as a Member of Technical Staff at Adobe systems (Bangalore, India) and as a Research Assistant at The Pennsylvania State University (State College, USA). I completed my Masters from IIT Delhi in 2015 and my Bachelors from IIEST Shibpur in 2012. I achieved All India Rank 99 out of 224160 candidates (99.96 percentile) in GATE 2013 (Computer Science).

Schedule a Meeting

Publications

Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning
Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, and Chetan Arora
IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
[ Paper, Webpage ]

Unsupervised Contrastive Learning of Image Representations from Ultrasound Videos using Hard Negative Mining
Soumen Basu, Somanshu Singla, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, and Chetan Arora
25th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), September 2022.
[ Arxiv, Webpage ]

RadFormer: Transformers with Global-Local Attention for Interpretable and Accurate Gallbladder Cancer Detection
Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, and Chetan Arora
Elsevier Medical Image Analysis (Impact Factor: 13.828)
[ Paper, Arxiv, Github ]

Gallbladder Cancer Detection from US Images using only Image Level Labels
Soumen Basu, Ashish Papanai, Mayank Gupta, Pankaj Gupta, and Chetan Arora
26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2023.
[ Arxiv, Webpage ]

How reliable are the metrics used for assessing reliability in medical imaging?
Mayank Gupta, Soumen Basu, and Chetan Arora
26th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), October 2023 (Oral selection).
[ Paper, Github ]

Deep-learning enabled ultrasound based detection of gallbladder cancer in northern India: a prospective diagnostic study
Pankaj Gupta, Soumen Basu, Pratyaksha Rana, Usha Dutta, Raghuraman Soundararajan, Daneshwari Kalage, Manika Chhabra, Shravya Singh, Thakur Deen Yadav, Vikas Gupta, Lileswar Kaman, Chandan Krushna Das, Parikshaa Gupta, Uma Nahar Saikia, Radhika Srinivasan, Manavjit Singh Sandhu, Chetan Arora
The LANCET Regional Health, South-East Asia, 2023.
[ Paper]

Services

Reviewer, CVPR 2024
Reviewer, WACV 2024
Reviewer, ICCV 2023
Reviewer, CVPR 2023
Reviewer, IPCAI 2023
Program Committee Member, AAAI 2023, AAAI 2024

Recent Updates

[11/2023] Serving as Reviewer at CVPR 2024
[11/2023] Paper accepted at Indian Journal of Gastroenterology
[10/2023] Attended MICCAI 2023 in person and presented both Poster and Oral papers
[08/2023] Paper accepted at LANCET Regional Health!
[08/2023] Serving as Reviewer at WACV 2024
[08/2023] Received Outstanding Teaching Assistant Award for Machine Learning course!
[07/2023] Started working as an Applied Scientist Intern at Amazon
[06/2023] Two papers accepted at MICCAI 2023!
[04/2023] Serving as Reviewer in ICCV 2023
[01/2023] Attending Google Research Week 2023 at Bangalore
[11/2022] Serving as Reviewer in CVPR 2023 and IPCAI 2023
[11/2022] Gave a talk at Ph.D. Seminar of Department of CSE, IIT Delhi
[10/2022] RadFormer is Accepted at Elsevier Medical Image Analysis (IF: 13.828)!
[09/2022] Served as Program Committee Member, AAAI 2023
[06/2022] Attended MICCAI 2022 in person and presented our paper.
[06/2022] Received MICCAI student travel award!
[06/2022] Contrastive Learning is accepted for publication in MICCAI 2022! (Acceptance Rate: ~31%)
[06/2022] Attended CVPR 2022 in person and presented GBCNet.
[05/2022] Received CVPR DEI travel grant!
[03/2022] GBCNet is accepted for publication in IEEE/CVF CVPR 2022! (Acceptance Rate: ~25%)
[07/2021] Passed Ph.D. Comprehensive and moved to candidacy.
[07/2021] Attended UCL Medical Image Computing Summer School (MedICSS), London, 2021 (Nominated by the Department, sponsored by IIT Delhi)
[05/2021] Received the Pime Minister's Research Fellowship, Government of India, December 2020
[12/2020] Winner (2^nd Position) in ICVGIP-2020 Object Detection Challenge
[12/2020] Attended ICVGIP, 2020, hosted by IIT Jodhpur
[12/2020] Attended Amazon Research Day, 2020 (Virtual)
[07/2020] Attended ICML, 2020 (Virtual)

Teaching

I have been a Teaching Assistant to the following courses. My responsibilities involved conducting lab sessions, assignment design, grading the assignments and exams.

Machine Learning (COL341)
Cloud Computing Fundamentals (COL 733)
Computer Vision (COL 780)
Intro. to Computing (COL 100)
Artificial Intelligence (COL 671)
Software Engineering (COL 740)
Data Structures and Algorithms (COL 106)