Determining the Community Composition of Herbaceous Species from Images using Convolutional Neural Networks
Ecological Informatics. pages 102516. 2024. (in press) [bibtex] [web] [abstract] |
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization
DAGM German Conference on Pattern Recognition (DAGM-GCPR). 2023. [bibtex] [pdf] [abstract] |
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps
CVPR Workshop on Fine-grained Visual Classification (CVPR-WS). 2022. [bibtex] [pdf] [web] [code] [abstract] |
Towards a multisensor station for automated biodiversity monitoring
Basic and Applied Ecology. 59: pages 105-138. 2022. [bibtex] [web] [abstract] |
Investigating Neural Network Training on a Feature Level using Conditional Independence
ECCV Workshop on Causality in Vision (ECCV-WS). Pages 383-399. 2022. [bibtex] [pdf] [abstract] |
Pre-trained models are not enough: active and lifelong learning is important for long-term visual monitoring of mammals in biodiversity research. Individual identification and attribute prediction with image features from deep neural networks and decoupled decision models applied to elephants and great apes
Mammalian Biology. 102: pages 875-897. 2022. [bibtex] [web] [abstract] |
Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout
International Conference on Pattern Recognition (ICPR). Pages 2829-2835. 2022. [bibtex] [pdf] [supplementary] [abstract] |
Emerging technologies revolutionise insect ecology and monitoring
Trends in Ecology \& Evolution. 37 (10): pages 872-885. 2022. [bibtex] [abstract] |
Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 180-191. 2022. [bibtex] [pdf] [abstract] |
Predicting spatiotemporal variability in radial tree growth at the continental scale with machine learning
Environmental Data Science. 1: pages E9. 2022. [bibtex] [abstract] |
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification
INFORMATIK 2021, Computer Science for Biodiversity Workshop (CS4Biodiversity). Pages 443-460. 2021. [bibtex] [pdf] [web] [code] [abstract] |
Weakly Supervised Segmentation Pretraining for Plant Cover Prediction
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 589-603. 2021. [bibtex] [pdf] [supplementary] [abstract] |
Exploiting Web Images for Moth Species Classification
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 481-498. 2021. [bibtex] [pdf] [web] [abstract] |
Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 547-564. 2021. [bibtex] [pdf] [abstract] |
Automatic Plant Cover Estimation with Convolutional Neural Networks
Computer Science for Biodiversity Workshop (CS4Biodiversity), INFORMATIK 2021. Pages 499-516. 2021. [bibtex] [pdf] [abstract] |
Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 466-477. 2021. [bibtex] [pdf] [web] [abstract] |
Automated Visual Large Scale Monitoring of Faunal Biodiversity
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 31 (3): pages 477-488. 2021. [bibtex] [pdf] [web] [abstract] |
Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification
CVPR ISIC Skin Image Analysis Workshop (CVPR-WS). Pages 1810-1819. 2021. [bibtex] [pdf] [web] [abstract] |
Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 48-62. 2021. [bibtex] [pdf] [abstract] |
End-to-end Learning of Fisher Vector Encodings for Part Features in Fine-grained Recognition
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 142-158. 2021. [bibtex] [pdf] [web] [code] [abstract] |
Earth system data cubes unravel global multivariate dynamics
Earth System Dynamics. 11 (1): pages 201-234. 2020. [bibtex] [pdf] [web] [abstract] |
Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach
Biogeosciences. 17 (5): pages 1343-1365. 2020. [bibtex] [pdf] [web] [abstract] |
Towards Confirmable Automated Plant Cover Determination
ECCV Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP). 2020. [bibtex] [pdf] [web] [supplementary] [abstract] |
Classification-Specific Parts for Improving Fine-Grained Visual Categorization
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 62-75. 2019. [bibtex] [pdf] [web] [code] [abstract] |
When tree rings go global: challenges and opportunities for retro-and prospective insight
Quaternary Science Reviews. 197: pages 1-20. 2018. [bibtex] [pdf] [web] [abstract] |
SMOS Vegetation Optical Depth and Ecosystem Functional Properties: Exploring Their Relationships in Tropical Forests
IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Pages 5891-5894. 2018. [bibtex] [pdf] [web] [abstract] |
Upscaled diurnal cycles of land-atmosphere fluxes: a new global half-hourly data product
Earth System Science Data. 10 (3): pages 1327-1365. 2018. [bibtex] [pdf] [web] [abstract] |
Discovering unknown visual objects with novelty detection techniques
2018. Dissertation. ISBN: 978-3-8439-3546-3 [bibtex] [web] [abstract] |
Multivariate anomaly detection for Earth observations: a comparison of algorithms and feature extraction techniques
Earth System Dynamics. 8 (3): pages 677-696. 2017. [bibtex] [pdf] [web] [abstract] |
Improved tree-ring archives will support earth-system science
Nature Ecology \& Evolution. 1 (2): 2017. [bibtex] [pdf] [web] [abstract] |
When tree rings go global: challenges and opportunities for retro- andprospective insights
European Geosciences Union General Assembly (EGU): Abstract + Oral Presentation. 2017. [bibtex] [pdf] [web] [abstract] |
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks
International Journal of Computer Vision (IJCV). 121 (2): pages 253-280. 2017. [bibtex] [pdf] [web] [abstract] |
Upscaling diurnal cycles of carbon fluxes
European Geosciences Union General Assembly (EGU): Abstract + Poster Presentation. 2017. [bibtex] [pdf] [web] [abstract] |
Using Statistical Process Control for detecting anomalies in multivariate spatiotemporal Earth Observations
European Geosciences Union General Assembly (EGU): Abstract + Oral Presentation. 2016. [bibtex] [pdf] [web] [abstract] |
Hot spots of multivariate extreme anomalies in Earth observations
American Geophysical Union Fall Meeting (AGU): Abstract + Oral Presentation. 2016. [bibtex] [web] [abstract] |
Diagnosing the Dynamics of Observed and Simulated Ecosystem Gross Primary Productivity with Time Causal Information Theory Quantifiers
PLOS ONE. 11 (10): pages 1-29. 2016. [bibtex] [pdf] [web] [abstract] |
Potential of new machine learning methods for understanding long-term interannual variability of carbon and energy fluxes and states from site to global scale
American Geophysical Union Fall Meeting (AGU): Abstract + Oral Presentation. 2016. [bibtex] [web] [abstract] |
Maximally Divergent Intervals for Anomaly Detection
Workshop on Anomaly Detection (ICML-WS). 2016. Best Paper Award [bibtex] [pdf] [web] [code] [abstract] |
Active Learning and Discovery of Object Categories in the Presence of Unnameable Instances
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 4343-4352. 2015. [bibtex] [pdf] [web] [code] [presentation] [supplementary] [abstract] |
Local Novelty Detection in Multi-class Recognition Problems
IEEE Winter Conference on Applications of Computer Vision (WACV). Pages 813-820. 2015. [bibtex] [pdf] [web] [supplementary] [abstract] |
Ranking drivers of global carbon and energy fluxes over land
IEEE International Geoscience and Remote Sensing Symposium (IGARSS). Pages 4416-4419. 2015. [bibtex] [pdf] [web] [abstract] |
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods
ICPR Workshop on Features and Structures (FEAST): Extended Abstract + Poster Presentation. 2014. Best Poster Award [bibtex] [pdf] [code] [presentation] |
Temporal Video Segmentation by Event Detection: A Novelty Detection Approach
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 24 (2): pages 243-255. 2014. [bibtex] [pdf] [web] [abstract] |
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods
2014. Technical Report TR-FSU-INF-CV-2014-01 [bibtex] [pdf] [code] [abstract] |
Kernel Null Space Methods for Novelty Detection
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 3374-3381. 2013. [bibtex] [pdf] [web] [code] [presentation] [abstract] |
Video Segmentation by Event Detection: A Novel One-class Classification Approach
4th International Workshop on Image Mining. Theory and Applications (IMTA-4). 2013. [bibtex] [pdf] [abstract] |
An Efficient Approximation for Gaussian Process Regression
2013. Technical Report TR-FSU-INF-CV-2013-01 [bibtex] [pdf] |
Approximations of Gaussian Process Uncertainties for Visual Recognition Problems
Scandinavian Conference on Image Analysis (SCIA). Pages 182-194. 2013. [bibtex] [pdf] [web] [abstract] |
Beyond the closed-world assumption: The importance of novelty detection and open set recognition
GCPR/DAGM Workshop on Unsolved Problems in Pattern Recognition and Computer Vision (GCPR-WS): Extended Abstract + Oral Presentation. 2013. [bibtex] [pdf] [web] |
Labeling examples that matter: Relevance-Based Active Learning with Gaussian Processes
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 282-291. 2013. [bibtex] [pdf] [web] [code] [supplementary] [abstract] |
Beyond Classification - Large-scale Gaussian Process Inference and Uncertainty Prediction
Big Data Meets Computer Vision: First International Workshop on Large Scale Visual Recognition and Retrieval (NIPS-WS). 2012. This workshop article is a short version of our ACCV 2012 paper. [bibtex] [pdf] [abstract] |
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels
European Conference on Computer Vision (ECCV). Pages 85-98. 2012. [bibtex] [pdf] [web] [supplementary] [abstract] |
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels
Asian Conference on Computer Vision (ACCV). Pages 511-524. 2012. Best Paper Honorable Mention Award [bibtex] [pdf] [web] [presentation] [abstract] |
Divergence-Based One-Class Classification Using Gaussian Processes
British Machine Vision Conference (BMVC). Pages 50.1-50.11. 2012. [bibtex] [pdf] [web] [presentation] [abstract] |
Spectral Clustering of ROIs for Object Discovery
Symposium of the German Association for Pattern Recognition (DAGM). Pages 450-455. 2011. [bibtex] [pdf] [web] [abstract] |