37 citations · 74 across the 9 of their papers we have counts for
9 papers
TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videos
Hao Xu, Arbind Agrahari Baniya, Sam Wells +3
Robust ball tracking under occlusion remains a key challenge in sports video analysis, affecting tasks like event detection and officiating. We present TOTNet, a Temporal Occlusion…
Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study
Aayushma Pant, Arbind Agrahari Baniya, Tsz-Kwan Lee +1
Hyperspectral images are high-dimensional datasets comprising hundreds of contiguous spectral bands, enabling detailed analysis of materials and surfaces. Hyperspectral anomaly det…
Omnidirectional Video Super-Resolution using Deep Learning
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund +1
Omnidirectional Videos (or 360° videos) are widely used in Virtual Reality (VR) to facilitate immersive and interactive viewing experiences. However, the limited spatial resolution…
A Survey of Deep Learning Video Super-Resolution
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter Eklund +1
Video super-resolution (VSR) is a prominent research topic in low-level computer vision, where deep learning technologies have played a significant role. The rapid progress in deep…
Deep Learning for Sports Video Event Detection: Tasks, Datasets, Methods, and Challenges
Hao Xu, Arbind Agrahari Baniya, Sam Well +3
Video event detection has become a cornerstone of modern sports analytics, powering automated performance evaluation, content generation, and tactical decision-making. Recent advan…
Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing
Sunil Aryal, Jonathan R. Wells, Arbind Agrahari Baniya +1
In this paper, we show that preprocessing data using a variant of rank transformation called 'Average Rank over an Ensemble of Sub-samples (ARES)' makes clustering algorithms robus…
Requirements Engineering Framework for Human-centered Artificial Intelligence Software Systems
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora +3
[Context] Artificial intelligence (AI) components used in building software solutions have substantially increased in recent years. However, many of these solutions focus on techni…
A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement
Arbind Agrahari Baniya, Sunil Aryal, Santosh KC
Many existing data mining algorithms use feature values directly in their model, making them sensitive to units/scales used to measure/represent data. Pre-processing of data based…
Improved histogram-based anomaly detector with the extended principal component features
Sunil Aryal, Arbind Agrahari Baniya, KC Santosh
In this era of big data, databases are growing rapidly in terms of the number of records. Fast automatic detection of anomalous records in these massive databases is a challenging…