Debdoot Sheet

3 papers · 2019–2024 · 2 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🚀 Conference Pioneer

Venues

MIDL (2) NAACL (1)

Top co-authors

Pawan Goyal (1) Sourjyadip Ray (1) Harsh Maheshwari (1) Abhilash Nandy (1) Rachana Sathish (1) Sohan Patnaik (1) Manav Kapadnis (1) Vidit Goel (1) Ramanathan Sethuraman (1) Oindrila Saha (1)

Research topics

Artificial Intelligence (1) Computer Vision (1) Deep Learning (1) Machine Learning (1) Analysis (1) Core AI (1) Domain-Specific (1) Learning Types (1) Models (1)

Keywords

semantic segmentation (1) adversarial learning (1) self-supervised learning (1) weakly supervised learning (1) multimodal large language model (1) hallucination reduction (1) radiology report generation (1) fully convolutional network (1) fundus image (1) retinal image segmentation (1)

Papers

SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models NAACL 2024 Distill DSM: Computationally efficient method for segmentation of medical imaging volumes MIDL 2021 Learning with Multitask Adversaries using Weakly Labelled Data for Semantic Segmentation in Retinal Images MIDL 2019