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19942026
most citedThe ATNF Pulsar Catalogue

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123 papers · 1 filter

cs.CV2026★ 52 cited

Learning from synthetic photorealistic raindrop for single image raindrop removal

Zhixiang Hao, Shaodi You, Yu Li +2

Raindrops adhered to camera lens or windshield are inevitable in rainy scenes and can become an issue for many computer vision systems such as autonomous driving. Because raindrop…

cs.CV2025

CMI-MTL: Cross-Mamba interaction based multi-task learning for medical visual question answering

Qiangguo Jin, Xianyao Zheng, Hui Cui +7

Medical visual question answering (Med-VQA) is a crucial multimodal task in clinical decision support and telemedicine. Recent self-attention based methods struggle to effectively…

cs.CV2025★ 12 cited

From Prediction to Explanation: Multimodal, Explainable, and Interactive Deepfake Detection Framework for Non-Expert Users

Shahroz Tariq, Simon S. Woo, Priyanka Singh +3

The proliferation of deepfake technologies poses urgent challenges and serious risks to digital integrity, particularly within critical sectors such as forensics, journalism, and t…

cs.CV2025★ 45 cited

Iterative pseudo-labeling based adaptive copy-paste supervision for semi-supervised tumor segmentation

Qiangguo Jin, Hui Cui, Junbo Wang +7

Semi-supervised learning (SSL) has attracted considerable attention in medical image processing. The latest SSL methods use a combination of consistency regularization and pseudo-l…

cs.CV2024★ 18 cited

HazeSpace2M: A Dataset for Haze Aware Single Image Dehazing

Md Tanvir Islam, Nasir Rahim, Saeed Anwar +3

Reducing the atmospheric haze and enhancing image clarity is crucial for computer vision applications. The lack of real-life hazy ground truth images necessitates synthetic dataset…

cs.CV2024★ 17 cited

Computer Vision for Clinical Gait Analysis: A Gait Abnormality Video Dataset

Rahm Ranjan, David Ahmedt-Aristizabal, Mohammad Ali Armin +1

Clinical gait analysis (CGA) using computer vision is an emerging field in artificial intelligence that faces barriers of accessible, real-world data, and clear task objectives. Th…