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20212026
most citedEvaluating clinical diversity and plausibility of synthetic capsule endoscopic images

13 citations · 43 across the 10 of their papers we have counts for

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5 papers · 1 filter

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.CV2025

Influence of color correction on pathology detection in Capsule Endoscopy

Bidossessi Emmanuel Agossou, Marius Pedersen, Kiran Raja +2

Pathology detection in Wireless Capsule Endoscopy (WCE) using deep learning has been explored in the recent past. However, deep learning models can be influenced by the color quali…

cs.CV2024

Uncertainty-Aware Regularization for Image-to-Image Translation

Anuja Vats, Ivar Farup, Marius Pedersen +1

The importance of quantifying uncertainty in deep networks has become paramount for reliable real-world applications. In this paper, we propose a method to improve uncertainty esti…

cs.CV2023★ 11 cited

Terrain-Informed Self-Supervised Learning: Enhancing Building Footprint Extraction from LiDAR Data with Limited Annotations

Anuja Vats, David Völgyes, Martijn Vermeer +4

Estimating building footprint maps from geospatial data is of paramount importance in urban planning, development, disaster management, and various other applications. Deep learnin…

cs.CV2021★ 1 cited

Learning More for Free - A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy

Anuja Vats, Marius Pedersen, Ahmed Mohammed +1

The progress in Computer Aided Diagnosis (CADx) of Wireless Capsule Endoscopy (WCE) is thwarted by the lack of data. The inadequacy in richly representative healthy and abnormal co…