Publications and Code

Highlighted Publications

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

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

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

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

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

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)

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)

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

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

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

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

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

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

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

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