Arbind Agrahari Baniya

20 papers B 1Journal 18Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
TOTNet: Occlusion-aware temporal tracking for robust ball detection in sports videos.
Comput. Vis. Image Underst.
Hao Xu, Arbind Agrahari Baniya, Sam Wells, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal
2025 J jnl
A Survey of Deep Learning Video Super-Resolution.
CoRR
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
2025 J jnl
Action Spotting and Precise Event Detection in Sports: Datasets, Methods, and Challenges.
CoRR
Hao Xu, Arbind Agrahari Baniya, Sam Well, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal
2025 J jnl
Hyperspectral Anomaly Detection Methods: A Survey and Comparative Study.
CoRR
Aayushma Pant, Arbind Agrahari Baniya, Tsz-Kwan Lee, Sunil Aryal
2025 J jnl
Multi-Scale Attention and Gated Shifting for Fine-Grained Event Spotting in Videos.
CoRR
Hao Xu, Arbind Agrahari Baniya, Sam Wells, Mohamed Reda Bouadjenek, Richard Dazeley, Sunil Aryal
2025 J jnl
Omnidirectional Video Super-Resolution using Deep Learning.
CoRR
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
2025 J jnl
TOTNet: Occlusion-Aware Temporal Tracking for Robust Ball Detection in Sports Videos.
CoRR
Hao Xu, Arbind Agrahari Baniya, Sam Wells, Mohamed Reda Bouadjenek, Richard Dazely, Sunil Aryal
2024 J jnl
A Survey of Deep Learning Video Super-Resolution.
IEEE Trans. Emerg. Top. Comput. Intell.
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
2024 J jnl
Enabling clustering algorithms to detect clusters of varying densities through scale-invariant data preprocessing.
CoRR
Sunil Aryal, Jonathan R. Wells, Arbind Agrahari Baniya, KC Santosh
2024 J jnl
Frame Selection Using Spatiotemporal Dynamics and Key Features as Input Pre-processing for Video Super-Resolution Models.
SN Comput. Sci.
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
2024 J jnl
Omnidirectional Video Super-Resolution Using Deep Learning.
IEEE Trans. Multim.
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
2023 J jnl
Online Video Super-resolution using Information Replenishing Unidirectional Recurrent Model.
Neurocomputing
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal, Antonio Robles-Kelly
2023 J jnl
Requirements Framework for Engineering Human-centered Artificial Intelligence-Based Software Systems.
CoRR
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, Arbind Agrahari Baniya, Muneera Bano, John Grundy
2023 J jnl
Requirements engineering framework for human-centered artificial intelligence software systems.
Appl. Soft Comput.
Khlood Ahmad, Mohamed Abdelrazek, Chetan Arora, Arbind Agrahari Baniya, Muneera Bano, John Grundy
2022 — conf
STIFS: Spatio-Temporal Input Frame Selection for Learning-based Video Super-Resolution Models.
SIGMAP
Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter W. Eklund, Sunil Aryal
2021 J jnl
A Novel Data Pre-processing Technique: Making Data Mining Robust to Different Units and Scales of Measurement.
CoRR
Arbind Agrahari Baniya, Sunil Aryal, KC Santosh
2021 B conf
SPAD+: An Improved Probabilistic Anomaly Detector based on One-dimensional Histograms.
IJCNN
Sunil Aryal, Arbind Agrahari Baniya, Imran Razzak, KC Santosh
2020 J jnl
IRRISENS: An IoT Platform Based on Microservices Applied in Commercial-Scale Crops Working in a Multi-Cloud Environment.
Sensors
Rodrigo Filev Maia, Carlos Ballester Lurbe, Arbind Agrahari Baniya, John Hornbuckle
2019 J jnl
A novel data pre-processing technique robust to units and scales of measurement.
Aust. J. Intell. Inf. Process. Syst.
Arbind Agrahari Baniya, Sunil Aryal, KC Santosh
2019 J jnl
Improved histogram-based anomaly detector with the extended principal component features.
CoRR
Sunil Aryal, Arbind Agrahari Baniya, KC Santosh