Publications and Code

Highlighted Publications

Elephant Detection from Satellite Imagery

I. Duporge, O. Isupova, S. Reece, D. W. Macdonald, T. Wang. ``Using very high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes’’ Remote Sensing in Ecology and Conservation, 2021

180+ citations Top cited/downloaded paper 2019-2020
📰 BBC Coverage | 📄 Paper | 💾 Data

Mining Environmental Risk Assessment

R. Balaniuk, O. Isupova, S. Reece

Mining and tailings dam detection in satellite imagery using deep learning

Sensors, 2020

80+ citations Discovered 263 unregistered mines
📄 Paper | 💾 Code

Crowdsourced Learning (Best Paper Award 🏆)

O. Isupova, Y. Li, D. Kuzin, S. J. Roberts, K. Willis, S. Reece

BCCNet: Bayesian classifier combination neural network

NeurIPS Workshop on ML for Developing World, 2018

Best Paper Award
📄 Paper | 💾 Code

2025

• Isla Duporge, Xiaomin Lin, Aadi Palnitkar, Arjun Suresh, Olga Isupova, Daniel Rubenstein, and John Yiannis Aloimonos. ``Automated rhinoceros detection in satellite imagery using deep learning’’ Scientific Reports
  Scientific Reports (pdf) Code rhino dataset elephant dataset

• Isla Duporge and Olga Isupova. ``AI-Powered Conservation: Using Deep Learning and Satellite Imagery to Monitor African Elephant Populations’’ Women in Engineering and Science
  Springer Nature

• Danil Kuzin, Olga Isupova, Steven Reece, and Brooke D Simmons. ``Improving Deep Ensembles by Estimating Confusion Matrices’’ arXiv
  arXiv

2024

• Zhi Qin Tan, Olga Isupova, Gustavo Carneiro, Xiatian Zhu, and Yunpeng Li. ``Bayesian Detector Combination for Object Detection with Crowdsourced Annotations’’ European Conference on Computer Vision
  ECCV arXiv Code and data

2023

• Edward Clark, Alan Hunter, Olga Isupova, and Marcus Donnelly. ``Optimising Sensor Path Planning with Reinforcement Learning and Passive Sonar Modelling’’ 7th Underwater Acoustics Conference and Exhibition, UACE 2023
  UACE (pdf)

2022

• Edward Clark, Alan Hunter, Olga Isupova, and Marcus Donnelly. ``Exploring the use of AI in marine acoustic sensor management’’ Meetings on Acoustics ICUA2022
  SCitation (pdf)

• Prasad Nishtala, Neil Mchugh, William Tillett, Sarah Skeoch, Jennifer Humphreys, John Pauling, Olga Isupova, Anita Mcgrogan, Julia Snowball, and Sandipan Roy. ``POS1411 Artificial intelligence for identifying new disease clusters in patients with psoriatic arthritis/pso- riasis: a proof-of-concept study’’ Annals of the Rheumatic Diseases
  BMJ (pdf)

2021

• Danil Kuzin, Olga Isupova, Brooke D Simmons, and Steven Reece. ``Disaster mapping from satellites: damage detection with crowdsourced point labels — Oral’’ NeurIPS 2021 Artificial Intelligence for Humanitarian Assistance and Disaster Response Workshop (AI + HADR)
  arXiv

• Isla Duporge, Olga Isupova, Steven Reece, David W. Macdonald, and Tiejun Wang. ``Using very‐high‐resolution satellite imagery and deep learning to detect and count African elephants in heterogeneous landscapes’’ Remote Sensing in Ecology and Conservation AND CV4Animals Computer Vision for Animal Behavior Tracking and Modeling Workshop at Computer Vision and Pattern Recognition (CVPR) 2021
  ZLS (pdf) elephant dataset

• Allen G. Hart, Kevin R. Olding, A. M. G. Cox, Olga Isupova, and J. H. P. Dawes. ``Using echo state networks to approximate value functions for control’’ Submitted for publication
  arXiv

2020

• Remis Balaniuk, Olga Isupova, and Steven Reece. ``Mining and tailings dam detection in satellite imagery using deep learning’’ Sensors
  MDPI (pdf)

2019

• Olga Isupova, Danil Kuzin, Brooke Simmons, and Steven Reece. ``Rapid post disaster damage mapping with satellite imagery, citizen scientists and machine learning’’ UK Alliance for Disaster Research Annual Conference

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova. ``Baysian neural networks for sparse coding’’ International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
  IEEE pdf

• Olga Isupova, Danil Kuzin, Brooke Simmons, and Steven Reece. ``Disaster response: Leveraging wide area earth observation with machine learning’’ General Assembly 2019 of the European Geosciences Union

2018

• Olga Isupova, Yunpeng Li, Danil Kuzin, Stephen J Roberts, Katherine Willis, and Steven Reece. ``BCCNet: Bayesian classifier combination neural network — Best paper award’’ NeurIPS 2018 Workshop on Machine Learning for the Developing World
  arXiv Code

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova. ``Discovering dynamic topic transitions in topic models’’ NeurIPS 2018 All of Bayesian Nonparametrics (Especially the Useful Bits) Workshop
  pdf

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova. ``Uncertainty propagation in neural networks for sparse coding’’ NeurIPS 2018 Bayesian Deep Learning Workshop
  arXiv

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova. ``Spatio-temporal structured sparse regression with hierarchical Gaussian process priors’’ IEEE Transactions on Signal Processing
  IEEE arXiv Code

• Danil Kuzin, Le Yang, Olga Isupova, and Lyudmila Mihaylova. ``Ensemble Kalman filtering for online Gaussian process regression and learning’’ 21st International Conference on Information Fusion (Fusion)
  IEEE arXiv Code

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova. ``Learning methods for dynamic topic modeling in automated behaviour analysis’’ IEEE Transactions on Neural Networks and Learning Systems
  IEEE arXiv Code

2017

• Zhenglin Li, Olga Isupova, Lyudmila Mihaylova, and Lucile Rossi. ``Autonomous flame detection in videos with a Dirichlet process Gaussian mixture color model’’ IEEE Transactions on Industrial Informatics
  IEEE

• Ruilong Chen, Matthew Hawes, Olga Isupova, Lyudmila Mihaylova, and Hao Zhu. ``Online vehicle logo recognition using Cauchy prior logistic regression’’ 20th International Conference on Information Fusion (Fusion)
  IEEE ResearchGate

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova. ``Structured sparse modelling with hierarchical GP’’ Signal Processing with Adaptive Sparse Structured Representations (SPARS) workshop
  arXiv

2016

• Zhenglin Li, Olga Isupova, Lyudmila Mihaylova, and Lucile Rossi. ``Autonomous flame detection in video based on saliency analysis and optical flow’’ IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
  IEEE ResearchGate

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova. ``Dynamic hierarchical Dirichlet process for abnormal behaviour detection in video’’ 19th International Conference on Information Fusion (Fusion)
  IEEE arXiv Code

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova. ``Anomaly detection in video with Bayesian nonparametrics’’ ICML Anomaly Detection Workshop
  arXiv

2015

• Danil Kuzin, Olga Isupova, and Lyudmila Mihaylova. ``Compressive sensing approaches for autonomous object detection in video sequences’’ 10th Workshop on Sensor Data Fusion: Trends, Solutions, Applications (SDF)
  IEEE ResearchGate

• Olga Isupova, Danil Kuzin, Lyudmila Mihaylova, Garik Markarian, and Francois Septier. ``An expectation maximisation algorithm for behaviour analysis in video’’ 18th International Conference on Information Fusion (Fusion)
  IEEE ResearchGate YouTube

• Olga Isupova, Danil Kuzin, and Lyudmila Mihaylova. ``Abnormal behaviour detection in video using topic modeling’’ University of Sheffield Engineering Symposium
  WhiteRose

2012

• Olga Isupova. ``Matching a hierarchical topic model with external subject authorities’’ International Conference of Students and Young Scientists “Lomonosov-2012”