13 citations · 43 across the 10 of their papers we have counts for
10 papers
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,…
Target-confidence Recourse Using tSeTlin machines: TRUST
K. Darshana Abeyrathna, Sara El Mekkaoui, Nils Enric Canut Taugbøl +1
Counterfactual explanations are widely used to provide algorithmic recourse in high-stakes decision-making systems. Most existing methods seek the smallest change to an input that…
Chaotic Map based Compression Approach to Classification
Harikrishnan N B, Anuja Vats, Nithin Nagaraj +1
Modern machine learning approaches often prioritize performance at the cost of increased complexity, computational demands, and reduced interpretability. This paper introduces a no…
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…
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…
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…
Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images
Anuja Vats, Marius Pedersen, Ahmed Mohammed +1
Wireless Capsule Endoscopy (WCE) is being increasingly used as an alternative imaging modality for complete and non-invasive screening of the gastrointestinal tract. Although this…
This changes to that : Combining causal and non-causal explanations to generate disease progression in capsule endoscopy
Anuja Vats, Ahmed Mohammed, Marius Pedersen +1
Due to the unequivocal need for understanding the decision processes of deep learning networks, both modal-dependent and model-agnostic techniques have become very popular. Althoug…
From Labels to Priors in Capsule Endoscopy: A Prior Guided Approach for Improving Generalization with Few Labels
Anuja Vats, Ahmed Mohammed, Marius Pedersen
The lack of generalizability of deep learning approaches for the automated diagnosis of pathologies in Wireless Capsule Endoscopy (WCE) has prevented any significant advantages fro…
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…