Tracking Animals in Wildlife Videos Using Face Detection. - Tilo Burghardt; Janko Calic; Barry T. Thomas (EWIMT, 2004)

Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling. - Massimo Camplani; Sion L. Hannuna; Majid Mirmehdi; Dima Damen; Adeline Paiement; Lili Tao; Tilo Burghardt (BMVC, 2015)

Automated Identification of Individual Great White Sharks from Unrestricted Fin Imagery. - Benjamin Hughes; Tilo Burghardt (BMVC, 2015)

A comparative home activity monitoring study using visual and inertial sensors. - Lili Tao; Tilo Burghardt; Sion L. Hannuna; Massimo Camplani; Adeline Paiement; Dima Damen; Majid Mirmehdi; Ian Craddock (HealthCom, 2015)

A multi-modal sensor infrastructure for healthcare in a residential environment. - Przemyslaw Woznowski; Xenofon Fafoutis; Terence Song; Sion L. Hannuna; Massimo Camplani; Lili Tao; Adeline Paiement; Evangelos Mellios; Mo Haghighi; Ni Zhu; Geoffrey S. Hilton; Dima Damen; et al. (ICC Workshops, 2015)

Towards automating visual in-field monitoring of crop health. - David P. Gibson; Tilo Burghardt; Neill W. Campbell; Nishan Canagarajah (ICIP, 2015)

Contextual Saliency for Nonrigid Landmark Registration and Recognition of Natural Patterns. - Luke Palmer; Tilo Burghardt (VISAPP (1), 2015)

Correspondence, Matching and Recognition. - Tilo Burghardt; Dima Damen; Walterio W. Mayol-Cuevas; Majid Mirmehdi (Int. J. Comput. Vis., 2015)

Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home. - Lili Tao; Tilo Burghardt; Majid Mirmehdi; Dima Damen; Ashley Cooper; Sion L. Hannuna; Massimo Camplani; Adeline Paiement; Ian Craddock (ACCV Workshops (1), 2016)

Automatic individual holstein friesian cattle identification via selective local coat pattern matching in RGB-D imagery. - William Andrew; Sion L. Hannuna; Neill W. Campbell; Tilo Burghardt (ICIP, 2016)

Multiple Human Tracking in RGB-D Data: A Survey. - Massimo Camplani; Adeline Paiement; Majid Mirmehdi; Dima Damen; Sion L. Hannuna; Tilo Burghardt; Lili Tao (CoRR, 2016)

A comparative study of pose representation and dynamics modelling for online motion quality assessment. - Lili Tao; Adeline Paiement; Dima Damen; Majid Mirmehdi; Sion L. Hannuna; Massimo Camplani; Tilo Burghardt; Ian Craddock (Comput. Vis. Image Underst., 2016)

Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning. - William Andrew; Colin Greatwood; Tilo Burghardt (ICCV Workshops, 2017)

Towards Automated Visual Monitoring of Individual Gorillas in the Wild. - Clemens-Alexander Brust; Tilo Burghardt; Milou Groenenberg; Christoph Käding; Hjalmar S. Kühl; Marie L. Manguette; Joachim Denzler (ICCV Workshops, 2017)

Multiple human tracking in RGB-depth data: a survey. - Massimo Camplani; Adeline Paiement; Majid Mirmehdi; Dima Damen; Sion L. Hannuna; Tilo Burghardt; Lili Tao (IET Comput. Vis., 2017)

Automated Visual Fin Identification of Individual Great White Sharks. - Benjamin Hughes; Tilo Burghardt (Int. J. Comput. Vis., 2017)

CaloriNet: From silhouettes to calorie estimation in private environments. - Alessandro Masullo; Tilo Burghardt; Dima Damen; Sion L. Hannuna; Víctor Ponce-López; Majid Mirmehdi (BMVC, 2018)

DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph. - Rory Smith; Tilo Burghardt (GCPR, 2018)

Semantically Selective Augmentation for Deep Compact Person Re-Identification. - Víctor Ponce-López; Tilo Burghardt; Sion L. Hannuna; Dima Damen; Alessandro Masullo; Majid Mirmehdi (ECCV Workshops (2), 2018)

Deep Learning for Exploration and Recovery of Uncharted and Dynamic Targets from UAV-like Vision. - William Andrew; Colin Greatwood; Tilo Burghardt (IROS, 2018)

Calorific Expenditure Estimation Using Deep Convolutional Network Features. - Baodong Wang; Lili Tao; Tilo Burghardt; Majid Mirmehdi (WACV Workshops, 2018)

A Guide to the SPHERE 100 Homes Study Dataset. - Atis Elsts; Tilo Burghardt; Dallan Byrne; Dima Damen; Xenofon Fafoutis; Sion L. Hannuna; Víctor Ponce-López; Alessandro Masullo; Majid Mirmehdi; George Oikonomou; Robert J. Piechocki; Emma Tonkin; et al. (CoRR, 2018)

Energy expenditure estimation using visual and inertial sensors. - Lili Tao; Tilo Burghardt; Majid Mirmehdi; Dima Damen; Ashley Cooper; Massimo Camplani; Sion L. Hannuna; Adeline Paiement; Ian Craddock (IET Comput. Vis., 2018)

Who Goes There? Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person Environments. - Alessandro Masullo; Tilo Burghardt; Dima Damen; Toby Perrett; Majid Mirmehdi (ICCV Workshops, 2019)

Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending. - Xinyu Yang; Majid Mirmehdi; Tilo Burghardt (ICCV Workshops, 2019)

Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs. - Víctor Ponce-López; Tilo Burghardt; Yue Sun; Sion L. Hannuna; Dima Damen; Majid Mirmehdi (ICIAP (1), 2019)

Sit-to-Stand Analysis in the Wild Using Silhouettes for Longitudinal Health Monitoring. - Alessandro Masullo; Tilo Burghardt; Toby Perrett; Dima Damen; Majid Mirmehdi (ICIAR (2), 2019)

Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference. - William Andrew; Colin Greatwood; Tilo Burghardt (IROS, 2019)

Not a Free Lunch but a Cheap Lunch: Experimental Results for Training Many Neural Nets. - Joey Green; Tilo Burghardt; Elisabeth Oswald (IACR Cryptol. ePrint Arch., 2019)

DS-KCF: a real-time tracker for RGB-D data. - Sion L. Hannuna; Massimo Camplani; Jake Hall; Majid Mirmehdi; Dima Damen; Tilo Burghardt; Adeline Paiement; Lili Tao (J. Real Time Image Process., 2019)

Meta-Learning with Context-Agnostic Initialisations. - Toby Perrett; Alessandro Masullo; Tilo Burghardt; Majid Mirmehdi; Dima Damen (ACCV (4), 2020)

Fusing Animal Biometrics with Autonomous Robotics: Drone-based Search and Individual ID of Friesian Cattle (Extended Abstract). - William Andrew; Colin Greatwood; Tilo Burghardt (WACV Workshops, 2020)

Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning. - William Andrew; Jing Gao; Neill W. Campbell; Andrew W. Dowsey; Tilo Burghardt (CoRR, 2020)

Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning. - Xinyu Yang; Majid Mirmehdi; Tilo Burghardt (CoRR, 2020)

Visual Recognition of Great Ape Behaviours in the Wild. - Faizaan Sakib; Tilo Burghardt (CoRR, 2020)

A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments. - Otto Brookes; Tilo Burghardt (CoRR, 2020)

Person Re-ID by Fusion of Video Silhouettes and Wearable Signals for Home Monitoring Applications. - Alessandro Masullo; Tilo Burghardt; Dima Damen; Toby Perrett; Majid Mirmehdi (Sensors, 2020)

Back to the Future: Cycle Encoding Prediction for Self-supervised Video Representation Learning. - Xinyu Yang; Majid Mirmehdi; Tilo Burghardt (BMVC, 2021)

Temporal-Relational CrossTransformers for Few-Shot Action Recognition. - Toby Perrett; Alessandro Masullo; Tilo Burghardt; Majid Mirmehdi; Dima Damen (CVPR, 2021)

No Need for a Lab: Towards Multi-sensory Fusion for Ambient Assisted Living in Real-world Living Homes. - Alessandro Masullo; Toby Perrett; Dima Damen; Tilo Burghardt; Majid Mirmehdi (VISIGRAPP (5: VISAPP), 2021)

Visual identification of individual Holstein-Friesian cattle via deep metric learning. - William Andrew; Jing Gao; Siobhan Mullan; Neill W. Campbell; Andrew W. Dowsey; Tilo Burghardt (Comput. Electron. Agric., 2021)

Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset. - Jing Gao; Tilo Burghardt; William Andrew; Andrew W. Dowsey; Neill W. Campbell (CoRR, 2021)

Seeing biodiversity: perspectives in machine learning for wildlife conservation. - Devis Tuia; Benjamin Kellenberger; Sara Beery; Blair R. Costelloe; Silvia Zuffi; Benjamin Risse; Alexander Mathis; Mackenzie W. Mathis; Frank van Langevelde; Tilo Burghardt; Roland Kays; Holger Klinck; et al. (CoRR, 2021)

Visual Microfossil Identificationvia Deep Metric Learning. - Tayfun Karaderi; Tilo Burghardt; Allison Y. Hsiang; Jacob Ramaer; Daniela N. Schmidt (CoRR, 2021)

Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification. - Jing Gao; Tilo Burghardt; Neill W. Campbell (ICIAP Workshops, 2022)

Video-TransUNet: temporally blended vision transformer for CT VFSS instance segmentation. - Chengxi Zeng; Xinyu Yang 003; Majid Mirmehdi; Alberto M. Gambaruto; Tilo Burghardt (ICMV, 2022)

Visual Microfossil Identification via Deep Metric Learning. - Tayfun Karaderi; Tilo Burghardt; Allison Y. Hsiang; Jacob Ramaer; Daniela N. Schmidt (ICPRAI (1), 2022)

Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance. - Mowen Xue; Theo Greenslade; Majid Mirmehdi; Tilo Burghardt (WACV (Workshops), 2022)

Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric Learning. - Maria Stennett; Daniel I. Rubenstein; Tilo Burghardt (CoRR, 2022)

Inertial Hallucinations - When Wearable Inertial Devices Start Seeing Things. - Alessandro Masullo; Toby Perrett; Tilo Burghardt; Ian Craddock; Dima Damen; Majid Mirmehdi (CoRR, 2022)

Use Your Head: Improving Long-Tail Video Recognition. - Toby Perrett; Saptarshi Sinha; Tilo Burghardt; Majid Mirmehdi; Dima Damen (CVPR, 2023)

Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation. - Chengxi Zeng; Xinyu Yang 003; David Smithard; Majid Mirmehdi; Alberto M. Gambaruto; Tilo Burghardt (ICIP, 2023)

Triple-stream Deep Metric Learning of Great Ape Behavioural Actions. - Otto Brookes; Majid Mirmehdi; Hjalmar S. Kühl; Tilo Burghardt (VISIGRAPP (5: VISAPP), 2023)

Diving with Penguins: Detecting Penguins and their Prey in Animal-borne Underwater Videos via Deep Learning. - Kejia Zhang; Mingyu Yang; Stephen D. J. Lang; Alistair M. McInnes; Richard B. Sherley; Tilo Burghardt (CoRR, 2023)

Dynamic Curriculum Learning for Great Ape Detection in the Wild. - Xinyu Yang; Tilo Burghardt; Majid Mirmehdi (Int. J. Comput. Vis., 2023)

Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species. - Tayfun Karaderi; Tilo Burghardt; Raphael Morard; Daniela N. Schmidt (WACV, 2024)

Training dynamics in Physics-Informed Neural Networks with feature mapping. - Chengxi Zeng; Tilo Burghardt; Alberto M. Gambaruto (CoRR, 2024)

RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks. - Chengxi Zeng; Tilo Burghardt; Alberto M. Gambaruto (CoRR, 2024)

ChimpVLM: Ethogram-Enhanced Chimpanzee Behaviour Recognition. - Otto Brookes; Majid Mirmehdi; Hjalmar S. Kühl; Tilo Burghardt (CoRR, 2024)

MultiCamCows2024 - A Multi-view Image Dataset for AI-driven Holstein-Friesian Cattle Re-Identification on a Working Farm. - Phoenix Yu; Tilo Burghardt; Andrew W. Dowsey; Neill W. Campbell (CoRR, 2024)

PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition. - Otto Brookes; Majid Mirmehdi; Colleen Stephens; Samuel Angedakin; Katherine Corogenes; Dervla Dowd; Paula Dieguez; Thurston C. Hicks; Sorrel Jones; Kevin Lee; Vera Leinert; Juan Lapuente; et al. (Int. J. Comput. Vis., 2024)

The PanAf-FGBG Dataset: Understanding the Impact of Backgrounds in Wildlife Behaviour Recognition. - Otto Brookes; Maksim Kukushkin; Majid Mirmehdi; Colleen Stephens; Paula Dieguez; Thurston C. Hicks; Sorrel Jones; Kevin Lee; Maureen S. McCarthy; Amelia Meier; Emmanuelle Normand; Erin G. Wessling; et al. (CVPR, 2025)

Universal bovine identification via depth data and deep metric learning. - Asheesh Sharma; Lucy Randewich; William Andrew; Sion L. Hannuna; Neill W. Campbell; Siobhan Mullan; Andrew W. Dowsey; Melvyn L. Smith; Mark F. Hansen; Tilo Burghardt (Comput. Electron. Agric., 2025)

Holstein-Friesian re-identification using multiple cameras and self-supervision on a working farm. - Phoenix Yu; Tilo Burghardt; Andrew W. Dowsey; Neill W. Campbell (Comput. Electron. Agric., 2025)

Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations. - Chengxi Zeng; David Smithard; Alberto M. Gambaruto; Tilo Burghardt (CoRR, 2025)

Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation. - Chengxi Zeng; Yuxuan Jiang; Fan Zhang 017; Alberto M. Gambaruto; Tilo Burghardt (CoRR, 2025)

MMLA: Multi-Environment, Multi-Species, Low-Altitude Aerial Footage Dataset. - Jenna Kline; Samuel Stevens 001; Guy Maalouf; Camille Rondeau Saint-Jean; Dat Nguyen Ngoc; Majid Mirmehdi; David Guérin; Tilo Burghardt; Elzbieta Pastucha; Blair Costelloe; Matthew Watson; Thomas Richardson; et al. (CoRR, 2025)

WildLive: Near Real-time Visual Wildlife Tracking onboard UAVs. - Nguyen Ngoc Dat; Tom Richardson 002; Matthew Watson; Kilian Meier; Jenna Kline; Sid Reid; Guy Maalouf; Duncan Hine; Majid Mirmehdi; Tilo Burghardt (CoRR, 2025)

Towards Application-Specific Evaluation of Vision Models: Case Studies in Ecology and Biology. - Alex Hoi Hang Chan; Otto Brookes; Urs Waldmann; Hemal Naik; Iain D. Couzin; Majid Mirmehdi; Noël Adiko Houa; Emmanuelle Normand; Christophe Boesch; Lukas Boesch; Mimi Arandjelovic; Hjalmar S. Kühl; et al. (CoRR, 2025)

Deep dive into KABR: a dataset for understanding ungulate behavior from in-situ drone video. - Maksim Kholiavchenko; Jenna Kline; Maksim Kukushkin; Otto Brookes; Sam Stevens 001; Isla Duporge; Alec Sheets; Reshma Ramesh Babu; Namrata Banerji; Elizabeth G. Campolongo; Matthew Thompson; Nina Van Tiel; et al. (Multim. Tools Appl., 2025)