activity
20242026
most citedA unified framework for evaluating the robustness of machine-learning interpretability for prospect risking

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

BALD-SAM: Disagreement-based Active Prompting in Interactive Segmentation

Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib

The Segment Anything Model (SAM) has revolutionized interactive segmentation through spatial prompting. While existing work primarily focuses on automating prompts in various setti…

cs.LG2026★ 5 cited

A unified framework for evaluating the robustness of machine-learning interpretability for prospect risking

Prithwijit Chowdhury, Ahmad Mustafa, Mohit Prabhushankar +1

In geophysics, hydrocarbon prospect risking involves assessing the risks associated with hydrocarbon exploration by integrating data from various sources. Machine learning-based cl…

cs.CV2025

A Large-scale Benchmark on Geological Fault Delineation Models: Domain Shift, Training Dynamics, Generalizability, Evaluation and Inferential Behavior

Jorge Quesada, Chen Zhou, Prithwijit Chowdhury +5

Machine learning has taken a critical role in seismic interpretation workflows, especially in fault delineation tasks. However, despite the recent proliferation of pretrained model…

eess.IV2024

Ophthalmic Biomarker Detection: Highlights from the IEEE Video and Image Processing Cup 2023 Student Competition

Ghassan AlRegib, Mohit Prabhushankar, Kiran Kokilepersaud +5

The VIP Cup offers a unique experience to undergraduates, allowing students to work together to solve challenging, real-world problems with video and image processing techniques. I…

cs.CV2024

Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis

Prithwijit Chowdhury, Mohit Prabhushankar, Ghassan AlRegib +1

Explainable AI (XAI) has revolutionized the field of deep learning by empowering users to have more trust in neural network models. The field of XAI allows users to probe the inner…