Tilo Burghardt

According to our database1, Tilo Burghardt authored at least 58 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

On csauthors.net:

Bibliography

2024
RBF-PINN: Non-Fourier Positional Embedding in Physics-Informed Neural Networks.
CoRR, 2024

Training dynamics in Physics-Informed Neural Networks with feature mapping.
CoRR, 2024

PanAf20K: A Large Video Dataset for Wild Ape Detection and Behaviour Recognition.
CoRR, 2024

Deep Visual-Genetic Biometrics for Taxonomic Classification of Rare Species.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
Dynamic Curriculum Learning for Great Ape Detection in the Wild.
Int. J. Comput. Vis., May, 2023

Diving with Penguins: Detecting Penguins and their Prey in Animal-borne Underwater Videos via Deep Learning.
CoRR, 2023

Triple-stream Deep Metric Learning of Great Ape Behavioural Actions.
Proceedings of the 18th International Joint Conference on Computer Vision, 2023

Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2023

Use Your Head: Improving Long-Tail Video Recognition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Video-TransUNet: Temporally Blended Vision Transformer for CT VFSS Instance Segmentation.
CoRR, 2022

Inertial Hallucinations - When Wearable Inertial Devices Start Seeing Things.
CoRR, 2022

Towards Individual Grevy's Zebra Identification via Deep 3D Fitting and Metric Learning.
CoRR, 2022

Small or Far Away? Exploiting Deep Super-Resolution and Altitude Data for Aerial Animal Surveillance.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022

Visual Microfossil Identification via Deep Metric Learning.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2022

Label a Herd in Minutes: Individual Holstein-Friesian Cattle Identification.
Proceedings of the Image Analysis and Processing. ICIAP 2022 Workshops, 2022

2021
Visual Microfossil Identificationvia Deep Metric Learning.
CoRR, 2021

Seeing biodiversity: perspectives in machine learning for wildlife conservation.
CoRR, 2021

Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset.
CoRR, 2021

Visual identification of individual Holstein-Friesian cattle via deep metric learning.
Comput. Electron. Agric., 2021

No Need for a Lab: Towards Multi-sensory Fusion for Ambient Assisted Living in Real-world Living Homes.
Proceedings of the 16th International Joint Conference on Computer Vision, 2021

Temporal-Relational CrossTransformers for Few-Shot Action Recognition.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Back to the Future: Cycle Encoding Prediction for Self-supervised Video Representation Learning.
Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020
Person Re-ID by Fusion of Video Silhouettes and Wearable Signals for Home Monitoring Applications.
Sensors, 2020

A Dataset and Application for Facial Recognition of Individual Gorillas in Zoo Environments.
CoRR, 2020

Visual Recognition of Great Ape Behaviours in the Wild.
CoRR, 2020

Back to the Future: Cycle Encoding Prediction for Self-supervised Contrastive Video Representation Learning.
CoRR, 2020

Visual Identification of Individual Holstein Friesian Cattle via Deep Metric Learning.
CoRR, 2020

Fusing Animal Biometrics with Autonomous Robotics: Drone-based Search and Individual ID of Friesian Cattle (Extended Abstract).
Proceedings of the IEEE Winter Applications of Computer Vision Workshops, 2020

Meta-Learning with Context-Agnostic Initialisations.
Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

2019
DS-KCF: a real-time tracker for RGB-D data.
J. Real Time Image Process., 2019

Not a Free Lunch but a Cheap Lunch: Experimental Results for Training Many Neural Nets.
IACR Cryptol. ePrint Arch., 2019

Aerial Animal Biometrics: Individual Friesian Cattle Recovery and Visual Identification via an Autonomous UAV with Onboard Deep Inference.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Sit-to-Stand Analysis in the Wild Using Silhouettes for Longitudinal Health Monitoring.
Proceedings of the Image Analysis and Recognition - 16th International Conference, 2019

Deep Compact Person Re-Identification with Distractor Synthesis via Guided DC-GANs.
Proceedings of the Image Analysis and Processing - ICIAP 2019, 2019

Great Ape Detection in Challenging Jungle Camera Trap Footage via Attention-Based Spatial and Temporal Feature Blending.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Who Goes There? Exploiting Silhouettes and Wearable Signals for Subject Identification in Multi-Person Environments.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Energy expenditure estimation using visual and inertial sensors.
IET Comput. Vis., 2018

A Guide to the SPHERE 100 Homes Study Dataset.
CoRR, 2018

Calorific Expenditure Estimation Using Deep Convolutional Network Features.
Proceedings of the 2018 IEEE Winter Applications of Computer Vision Workshops, 2018

Deep Learning for Exploration and Recovery of Uncharted and Dynamic Targets from UAV-like Vision.
Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Semantically Selective Augmentation for Deep Compact Person Re-Identification.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

DeepKey: Towards End-to-End Physical Key Replication from a Single Photograph.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

CaloriNet: From silhouettes to calorie estimation in private environments.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Automated Visual Fin Identification of Individual Great White Sharks.
Int. J. Comput. Vis., 2017

Multiple human tracking in RGB-depth data: a survey.
IET Comput. Vis., 2017

Towards Automated Visual Monitoring of Individual Gorillas in the Wild.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Visual Localisation and Individual Identification of Holstein Friesian Cattle via Deep Learning.
Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2016
A comparative study of pose representation and dynamics modelling for online motion quality assessment.
Comput. Vis. Image Underst., 2016

Multiple Human Tracking in RGB-D Data: A Survey.
CoRR, 2016

Automatic individual holstein friesian cattle identification via selective local coat pattern matching in RGB-D imagery.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Calorie Counter: RGB-Depth Visual Estimation of Energy Expenditure at Home.
Proceedings of the Computer Vision - ACCV 2016 Workshops, 2016

2015
Correspondence, Matching and Recognition.
Int. J. Comput. Vis., 2015

Contextual Saliency for Nonrigid Landmark Registration and Recognition of Natural Patterns.
Proceedings of the VISAPP 2015, 2015

Towards automating visual in-field monitoring of crop health.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

A multi-modal sensor infrastructure for healthcare in a residential environment.
Proceedings of the IEEE International Conference on Communication, 2015

A comparative home activity monitoring study using visual and inertial sensors.
Proceedings of the 17th International Conference on E-health Networking, 2015

Automated Identification of Individual Great White Sharks from Unrestricted Fin Imagery.
Proceedings of the British Machine Vision Conference 2015, 2015

Real-time RGB-D Tracking with Depth Scaling Kernelised Correlation Filters and Occlusion Handling.
Proceedings of the British Machine Vision Conference 2015, 2015


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