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20232026
most citedKvasir-VQA: A Text-Image Pair GI Tract Dataset

13 citations · 48 across the 17 of their papers we have counts for

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8 papers · 1 filter

cs.CV2026

VideoHEDGE: Entropy-Based Hallucination Detection for Video-VLMs via Semantic Clustering and Spatiotemporal Perturbations

Sushant Gautam, Cise Midoglu, Vajira Thambawita +2

Hallucinations in video-capable vision-language models (Video-VLMs) remain frequent and high-confidence, while existing uncertainty metrics often fail to align with correctness. We…

cs.CV2025

HEDGE: Hallucination Estimation via Dense Geometric Entropy for VQA with Vision-Language Models

Sushant Gautam, Michael A. Riegler, Pål Halvorsen

Vision-language models (VLMs) enable open-ended visual question answering but remain prone to hallucinations. We present HEDGE, a unified framework for hallucination detection that…

cs.CV2025

Medico 2025: Visual Question Answering for Gastrointestinal Imaging

Sushant Gautam, Vajira Thambawita, Michael Riegler +2

The Medico 2025 challenge addresses Visual Question Answering (VQA) for Gastrointestinal (GI) imaging, organized as part of the MediaEval task series. The challenge focuses on deve…

cs.CV2025

Kvasir-VQA-x1: A Multimodal Dataset for Medical Reasoning and Robust MedVQA in Gastrointestinal Endoscopy

Sushant Gautam, Michael A. Riegler, Pål Halvorsen

Medical Visual Question Answering (MedVQA) is a promising field for developing clinical decision support systems, yet progress is often limited by the available datasets, which can…

cs.CV2025★ 1 cited

Point, Detect, Count: Multi-Task Medical Image Understanding with Instruction-Tuned Vision-Language Models

Sushant Gautam, Michael A. Riegler, Pål Halvorsen

We investigate fine-tuning Vision-Language Models (VLMs) for multi-task medical image understanding, focusing on detection, localization, and counting of findings in medical images…

cs.CV2025

SoccerChat: Integrating Multimodal Data for Enhanced Soccer Game Understanding

Sushant Gautam, Cise Midoglu, Vajira Thambawita +3

The integration of artificial intelligence in sports analytics has transformed soccer video understanding, enabling real-time, automated insights into complex game dynamics. Tradit…

cs.CV2024★ 13 cited

Kvasir-VQA: A Text-Image Pair GI Tract Dataset

Sushant Gautam, Andrea Storås, Cise Midoglu +4

We introduce Kvasir-VQA, an extended dataset derived from the HyperKvasir and Kvasir-Instrument datasets, augmented with question-and-answer annotations to facilitate advanced mach…

cs.CV2024★ 8 cited

PLayerTV: Advanced Player Tracking and Identification for Automatic Soccer Highlight Clips

Håkon Maric Solberg, Mehdi Houshmand Sarkhoosh, Sushant Gautam +3

In the rapidly evolving field of sports analytics, the automation of targeted video processing is a pivotal advancement. We propose PlayerTV, an innovative framework which harnesse…