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20232026
most citedNTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results

3 citations · 3 across the 7 of their papers we have counts for

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10 papers · 1 filter

cs.CV2026

CEM-TUDASR: Computationally efficient multi-modality transformer based unsupervised domain adaptive super-resolution approach

Anjali Sarvaiya, Jay Kadel, Kishor Upla +1

Wireless Capsule Endoscopy (WCE) enables non-invasive visualization of the gastrointestinal tract, but its miniaturized optics, sensor limitations, and wireless transmission constr…

cs.CV2026

MultiAttenGastro: Multi-Dimensional Attention Augmentation for Gastrointestinal Endoscopy Classification

Sadhana Devarajan, Praveen Kumar Chandaliya, Dhruvin Jashvant Kumar Shah +2

Automated gastrointestinal (GI) endoscopy classification requires models that generalize across diverse modalities and class distributions, often far from natural-image pretraining…

cs.CV2026

UnCapsTSR: An Unsupervised Transformer-based Image Super-Resolution Approach for Capsule Endoscopy Images

Anjali Sarvaiya, Shubh Kawa, Lalit Agrawal +3

Wireless Capsule Endoscopy (WCE) captures and streams video while passing through a patient's Gastrointestinal (GI) tract and is used to examine its irregularities. Although advant…

cs.CV2026

WasteAssistant: Regulation-Guided Visual Question Answering Framework for Intelligent Waste Segregation and Sustainable Managemen

Khush Kataruka, Harshit Maurya, Anuja Vats +3

Efficient waste segregation is critical for sustainable urban management and environmental governance. Existing automated systems are limited by single-modality visual processing,…

cs.CV2026

NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results

Xin Li, Yeying Jin, Suhang Yao +95

This paper presents an overview of the NTIRE 2026 Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images. Building upon the success of the first edition, this c…

cs.CV2025

VoD: Learning Volume of Differences for Video-Based Deepfake Detection

Ying Xu, Marius Pedersen, Kiran Raja

The rapid development of deep learning and generative AI technologies has profoundly transformed the digital contact landscape, creating realistic Deepfake that poses substantial c…