The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization
IEEE Transactions on Pattern Analysis and Machine Intelligence. 42 (3): pages 749-763. 2020. (Pre-print published in 2019.) [bibtex] [pdf] [web] [abstract] |
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence. 41 (5): pages 1088-1101. 2019. (Pre-print published in 2018.) [bibtex] [pdf] [web] [code] [abstract] |
Fully Convolutional Networks in Multimodal Nonlinear Microscopy Images for Automated Detection of Head and Neck Carcinoma: A Pilot Study
Head \& Neck. 41 (1): pages 116-121. 2019. [bibtex] [web] [abstract] |
Active Learning for Regression Tasks with Expected Model Output Changes
British Machine Vision Conference (BMVC). 2018. [bibtex] [pdf] [code] [supplementary] [abstract] |
HER2 challenge contest: a detailed assessment of automated HER2 scoring algorithms in whole slide images of breast cancer tissues
Histopathology. 72 (2): pages 227-238. 2018. [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] |
Generalized orderless pooling performs implicit salient matching
International Conference on Computer Vision (ICCV). Pages 4970-4979. 2017. [bibtex] [pdf] |
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] |
Deep bilinear features for Her2 scoring in digital pathology
Current Directions in Biomedical Engineering. 3 (2): pages 811-814. 2017. [bibtex] [pdf] |
Fast Learning and Prediction for Object Detection using Whitened CNN Features
arXiv preprint arXiv:1704.02930. 2017. [bibtex] [pdf] [web] |
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning
Scientific Reports. 7 (1): pages 41598-017. 2017. [bibtex] [web] |
Maximally Divergent Intervals for Extreme Weather Event Detection
MTS/IEEE OCEANS Conference Aberdeen. Pages 1-9. 2017. [bibtex] [pdf] [abstract] |
Semantic Volume Segmentation with Iterative Context Integration for Bio-medical Image Stacks
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 26 (1): pages 197-204. 2016. [bibtex] [pdf] [abstract] |
Fine-tuning Deep Neural Networks in Continuous Learning Scenarios
ACCV Workshop on Interpretation and Visualization of Deep Neural Nets (ACCV-WS). 2016. [bibtex] [pdf] [web] [supplementary] [abstract] |
Large-scale Active Learning with Approximated Expected Model Output Changes
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 179-191. 2016. [bibtex] [pdf] [web] [code] [supplementary] [abstract] |
Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception
ECCV Workshop on Computer Vision for Art Analysis. 2016. [bibtex] [pdf] [web] |
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] |
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] |
Neither Quick Nor Proper -- Evaluation of QuickProp for Learning Deep Neural Networks
2016. Technical Report TR-FSU-INF-CV-2016-01 [bibtex] [pdf] [abstract] |
ImageNet pre-trained models with batch normalization
arXiv preprint 1612.01452. 2016. [bibtex] [pdf] [web] [abstract] |
Watch, Ask, Learn, and Improve: A Lifelong Learning Cycle for Visual Recognition
European Symposium on Artificial Neural Networks (ESANN). Pages 381-386. 2016. [bibtex] [pdf] [code] [presentation] [abstract] |
Vegetation segmentation in cornfield images using bag of words
Advanced Concepts for Intelligent Vision Systems (Acivs). Pages 193-204. 2016. [bibtex] [pdf] [web] [abstract] |
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches
British Machine Vision Conference (BMVC). 2016. [bibtex] [pdf] [supplementary] |
SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos
Working Notes of CLEF 2016 - Conference and Labs of the Evaluation forum. Pages 481-489. 2016. [bibtex] [pdf] |
Detecting Multivariate Biosphere Extremes
International Workshop on Climate Informatics (CI). Pages 9-12. 2016. [bibtex] [web] [abstract] |
Hot spots of multivariate extreme anomalies in Earth observations
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] |
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets
British Machine Vision Conference (BMVC). 2016. [bibtex] [pdf] |
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes
NIPS Workshop on Continual Learning and Deep Networks (NIPS-WS). 2016. [bibtex] [pdf] [web] [abstract] |
Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 51-63. 2016. [bibtex] [pdf] [web] [supplementary] [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] |
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding
International Conference on Computer Vision Theory and Applications (VISAPP). Pages 510-517. 2015. [bibtex] [pdf] [abstract] |
Neural Activation Constellations: Unsupervised Part Model Discovery with Convolutional Networks
International Conference on Computer Vision (ICCV). Pages 1143-1151. 2015. [bibtex] [pdf] [web] [abstract] |
Automated analysis of confocal laser endomicroscopy images to detect head and neck cancer
Head \& Neck. 38 (1): 2015. [bibtex] [web] |
Beyond Thinking in Common Categories: Predicting Obstacle Vulnerability using Large Random Codebooks
Machine Vision Applications (MVA). Pages 198-201. 2015. [bibtex] [pdf] [web] [abstract] |
Fine-grained Recognition Datasets for Biodiversity Analysis
CVPR Workshop on Fine-grained Visual Classification (CVPR-WS). 2015. [bibtex] [pdf] [web] |
Analysis and Classification of Microscopy Images with Cell Border Distance Statistics
Jahrestagung der Deutschen Gesellschaft für Medizinische Physik (DGMP). 2015. [bibtex] [pdf] |
Efficient Convolutional Patch Networks for Scene Understanding
CVPR Workshop on Scene Understanding (CVPR-WS). 2015. Poster presentation and extended abstract [bibtex] [pdf] [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] |
Fine-grained Classification of Identity Document Types with Only One Example
Machine Vision Applications (MVA). Pages 126-129. 2015. [bibtex] [pdf] [web] [abstract] |
Understanding Object Descriptions in Robotics by Open-vocabulary Object Retrieval and Detection
International Journal of Robotics Research (IJRR). 35 (1-3): pages 265-280. 2015. [bibtex] [pdf] [web] |
Instance-weighted Transfer Learning of Active Appearance Models
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 1426-1433. 2014. [bibtex] [pdf] [abstract] |
Open-vocabulary Object Retrieval
Robotics Science and Systems (RSS). Pages 41, ISBN 978-0-9923747-0-9. 2014. Awarded with an AAAI invited talk [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] |
Interactive Adaptation of Real-Time Object Detectors
International Conference on Robotics and Automation (ICRA). Pages 1282-1289. 2014. [bibtex] [pdf] [web] [abstract] |
Birds of a Feather Flock Together - Local Learning of Mid-level Representations for Fine-grained Recognition
ECCV Workshop on Parts and Attributes (ECCV-WS). 2014. [bibtex] [pdf] [web] [code] [presentation] |
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] |
Nonparametric Part Transfer for Fine-grained Recognition
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 2489-2496. 2014. [bibtex] [pdf] [web] [code] [presentation] [abstract] |
Semantic Volume Segmentation with Iterative Context Integration
Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW). Pages 220-225. 2014. [bibtex] [pdf] [web] [abstract] |
ARTOS -- Adaptive Real-Time Object Detection System
arXiv preprint arXiv:1407.2721. 2014. [bibtex] [pdf] [web] [code] [abstract] |
Selecting Influential Examples: Active Learning with Expected Model Output Changes
European Conference on Computer Vision (ECCV). Pages 562-577. 2014. [bibtex] [pdf] [presentation] [supplementary] [abstract] |
Part Detector Discovery in Deep Convolutional Neural Networks
Asian Conference on Computer Vision (ACCV). Pages 162-177. 2014. [bibtex] [pdf] [code] [abstract] |
Part Localization by Exploiting Deep Convolutional Networks
ECCV Workshop on Parts and Attributes (ECCV-WS). 2014. [bibtex] [pdf] [web] |
Bildverarbeitung und Objekterkennung: Computer Vision in Industrie und Medizin
2014. Neues umfangreiches Lehrbuch im Bereich Bildverarbeitung und maschinelles Lernen [bibtex] [web] [abstract] |
Exemplar-specific Patch Features for Fine-grained Recognition
DAGM German Conference on Pattern Recognition (DAGM-GCPR). Pages 144-156. 2014. [bibtex] [pdf] [code] [supplementary] [abstract] |
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation
International Journal of Computer Vision (IJCV). 109 (1-2): pages 28-41. 2014. [bibtex] [pdf] [web] [abstract] |
Transform-based Domain Adaptation for Big Data
NIPS Workshop on New Directions in Transfer and Multi-Task Learning (NIPS-WS). 2013. abstract version of arXiv:1308.4200 [bibtex] [pdf] [abstract] |
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations
arXiv preprint arXiv:1308.4200. 2013. [bibtex] [pdf] |
Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012
arXiv preprint arXiv:1310.4759. 2013. [bibtex] [pdf] [web] |
Semi-Supervised Domain Adaptation with Instance Constraints
IEEE Conference on Computer Vision and Pattern Recognition (CVPR). Pages 668 - 675. 2013. [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] |
An Efficient Approximation for Gaussian Process Regression
2013. Technical Report TR-FSU-INF-CV-2013-01 [bibtex] [pdf] |
I Want To Know More: Efficient Multi-Class Incremental Learning Using Gaussian Processes
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 23 (3): pages 402-407. 2013. [bibtex] [pdf] |
Automatic Identification of Novel Bacteria using Raman Spectroscopy and Gaussian Processes
Analytica Chimica Acta. 794: pages 29-37. 2013. [bibtex] [pdf] [web] [supplementary] |
Scalable Transform-based Domain Adaptation
ICCV Workshop on Visual Domain Adaptation (ICCV-WS). 2013. [bibtex] [pdf] |
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] |
Efficient Learning of Domain-invariant Image Representations
International Conference on Learning Representations (ICLR). 2013. [bibtex] [pdf] |
One-class Classification with Gaussian Processes
Pattern Recognition. 46 (12): pages 3507-3518. 2013. [bibtex] [pdf] |
Segmentation of Microorganism in Complex Environments
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 23 (4): pages 512-517. 2013. [bibtex] [pdf] |
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] |
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] |
Large-Scale Gaussian Process Multi-Class Classification for Semantic Segmentation and Facade Recognition
Machine Vision and Applications. 24 (5): pages 1043-1053. 2013. [bibtex] [pdf] |
Large-Scale Gaussian Process Classification using Random Decision Forests
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 22 (1): pages 113-120. 2012. [bibtex] [pdf] |
Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach
Asian Conference on Computer Vision (ACCV). Pages 218-231. 2012. [bibtex] [pdf] |
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] |
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] |
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] |
As Time Goes By: Anytime Semantic Segmentation with Iterative Context Forests
Symposium of the German Association for Pattern Recognition (DAGM). Pages 1-10. 2012. [bibtex] [pdf] |
Lernen mit wenigen Beispielen für die visuelle Objekterkennung
Ausgezeichnete Informatikdissertationen 2011. 2012. in german [bibtex] [pdf] [web] |
Efficient Semantic Segmentation with Gaussian Processes and Histogram Intersection Kernels
International Conference on Pattern Recognition (ICPR). Pages 3313-3316. 2012. [bibtex] [pdf] |
Multi-Person Tracking-by-Detection based on Calibrated Multi-Camera Systems
International Conference on Computer Vision and Graphics. Pages 743-751. 2012. [bibtex] [pdf] |
Divergence-Based One-Class Classification Using Gaussian Processes
British Machine Vision Conference (BMVC). Pages 50.1-50.11. 2012. [bibtex] [pdf] [web] [presentation] [abstract] |
Efficient Multi-Class Incremental Learning Using Gaussian Processes
Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW). Pages 182-185. 2011. [bibtex] [pdf] [abstract] |
One-Class Classification for Anomaly Detection in Wire Ropes with Gaussian Processes in a Few Lines of Code
Machine Vision Applications (MVA). Pages 219-222. 2011. [bibtex] [pdf] |
Detection of Microorganisms in Complex Microscopy Images
Open German-Russian Workshop on Pattern Recognition and Image Understanding (OGRW). Pages 115-118. 2011. [bibtex] [pdf] |
Learning with Few Examples for Binary and Multiclass Classification Using Regularization of Randomized Trees
Pattern Recognition Letters. 32 (2): pages 244-251. 2011. [bibtex] [pdf] |
Efficient Gaussian process classification using random decision forests
Pattern Recognition and Image Analysis. Advances in Mathematical Theory and Applications (PRIA). 21: pages 184-187. 2011. 10.1134/S1054661811020337 [bibtex] [pdf] |
Efficient Gaussian Process Classification using Random Decision Forests
International Conference on Pattern Recognition and Image Analysis (PRIA), St. Petersburg, Russia. Pages 93-96. 2010. [bibtex] [pdf] |
A Fast Approach for Pixelwise Labeling of Facade Images
International Conference on Pattern Recognition (ICPR). Pages 3029-3032. 2010. [bibtex] [pdf] |
One-Class Classification with Gaussian Processes
Asian Conference on Computer Vision (ACCV). Pages 489-500. 2010. [bibtex] [pdf] [presentation] |
One-Shot Learning of Object Categories using Dependent Gaussian Processes
Symposium of the German Association for Pattern Recognition (DAGM). Pages 232-241. 2010. [bibtex] [pdf] |
Multiple Kernel Gaussian Process Classification for Generic 3D Object Recognition From Time-of-Flight Images
International Conference on Image and Vision Computing. Pages 1-8. 2010. [bibtex] [pdf] [web] |
Learning with Few Examples by Transferring Feature Relevance
Symposium of the German Association for Pattern Recognition (DAGM). Pages 252-261. 2009. [bibtex] [pdf] |
Randomized Probabilistic Latent Semantic Analysis for Scene Recognition
Iberoamerican Congress on Pattern Recognition (CIARP). Pages 945-953. 2009. [bibtex] [pdf] |
Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features
Dynamic 3D Imaging Workshop. Pages 96-109. 2009. [bibtex] [pdf] |
On Fusion of Range and Intensity Information Using Graph-Cut for Planar Patch Segmentation
International Journal of Intelligent Systems Technologies and Applications. 5 (3/4): pages 365-373. 2008. [bibtex] [pdf] [abstract] |
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees
Vision, Modelling, and Visualization Workshop (VMV). Pages 159-168. 2008. [bibtex] [pdf] |
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation
IAPR Workshop on Document Analysis Systems. Pages 263-269. 2008. [bibtex] [pdf] [presentation] [abstract] |