Going back to the source: inverse filtering of the speech signal with ANNs. - Joachim Denzler; Ralf Kompe; Andreas Kießling 001; Heinrich Niemann; Elmar Nöth (EUROSPEECH, 1993)

Active Motion Detection and Object Tracking. - Joachim Denzler; Dietrich Paulus (ICIP (3), 1994)

Learning, tracking and recognition of 3D objects. - Joachim Denzler; Rüdiger Bess; Joachim Hornegger; Heinrich Niemann; Dietrich Paulus (IROS, 1994)

Combination of simple vision modules for robust real-time motion tracking. - Joachim Denzler; Heinrich Niemann (Eur. Trans. Telecommun., 1995)

Echtzeitobjektverfolgung mit Aktiven Strahlen. - Joachim Denzler; Heinrich Niemann (DAGM-Symposium, 1996)

Statistical approach to classification of flow patterns for motion detection. - Joachim Denzler; Volker Schless; Dietrich Paulus; Heinrich Niemann (ICIP (1), 1996)

3D Data Driven Prediction for Active Contour Models with Application to Car Tracking. - Joachim Denzler; Heinrich Niemann (MVA, 1996)

3D data driven prediction for active contour models based on geometric bounding volumes. - Joachim Denzler; Heinrich Niemann (Pattern Recognit. Lett., 1996)

Aktives Sehen zur Echtzeitobjektverfolgung. - Joachim Denzler (Infix, 1997)

Real-Time Pedestrian Tracking in Natural Scenes. - Joachim Denzler; Heinrich Niemann (CAIP, 1997)

COBOLT: Ein System zur datengetriebenen Verfolgung bewegter Objekte in Echtzeit. - Joachim Denzler; Heinrich Niemann (DAGM-Symposium, 1997)

Model Based Extraction of Articulated Objects in Image Sequences for Gait Analysis. - Dorthe Meyer; Joachim Denzler; Heinrich Niemann (ICIP (3), 1997)

An Efficient Combination of 2D and 3D Shape Descriptions for Contour Based Tracking of Moving Objects. - Joachim Denzler; Benno Heigl; Heinrich Niemann (ECCV (1), 1998)

On the application of light field reconstruction for statistical object recognition. - Benno Heigl; Joachim Denzler; Heinrich Niemann (EUSIPCO, 1998)

Probabilistisch modellierte Blicksteuerung zur Selbstlokalisation anhand natürlicher Landmarken. - Christopher Drexler; Carmen Frank; Joachim Denzler; Heinrich Niemann (AMS, 1999)

Plenoptic Modeling and Rendering from Image Sequences Taken by Hand-Held Camera. - Benno Heigl; Reinhard Koch; Marc Pollefeys; Joachim Denzler; Luc Van Gool (DAGM-Symposium, 1999)

Active Knowledge-Based Scene Analysis. - Dietrich Paulus; Ulrike Ahlrichs; Benno Heigl; Joachim Denzler; Joachim Hornegger; Heinrich Niemann (ICVS, 1999)

Active Rays: Polar-transformed Active Contours for Real-Time Contour Tracking. - Joachim Denzler; Heinrich Niemann (Real Time Imaging, 1999)

Active Computer Vision System. - Dietrich Paulus; Christopher Drexler; Michael Reinhold; Matthias Zobel; Joachim Denzler (CAMP, 2000)

Classifier Independent Viewpoint Selection for 3-D Object Recognition. - Frank Deinzer; Joachim Denzler; Heinrich Niemann (DAGM-Symposium, 2000)

Robust Facial Feature Localization by Coupled Features. - Matthias Zobel; Arnd Gebhard; Dietrich Paulus; Joachim Denzler; Heinrich Niemann (FG, 2000)

Viewpoint Selection-A Classifier Independent Learning Approach. - Frank Deinzer; Joachim Denzler; Heinrich Niemann (SSIAI, 2000)

Active Appearance-Based Object Recognition Using Viewpoint Selection. - Michael Reinhold; Frank Deinzer; Joachim Denzler; Dietrich Paulus; Josef Pösl (VMV, 2000)

Demonstration von Bildverarbeitung und Sprachverstehen in der Dienstleistungsrobotik. - Matthias Zobel; Joachim Denzler; Benno Heigl; Elmar Nöth; Dietrich Paulus; Jochen Schmidt; Georg Stemmer (AMS, 2001)

On Fusion of Multiple Views for Active Object Recognition. - Frank Deinzer; Joachim Denzler; Heinrich Niemann (DAGM-Symposium, 2001)

Optimal Camera Parameter Selection for State Estimation with Applications in Object Recognition. - Joachim Denzler; Christopher M. Brown; Heinrich Niemann (DAGM-Symposium, 2001)

Application of Bayesian Controllers to Dynamic Systems. - Rainer Deventer; Joachim Denzler; Heinrich Niemann (HIS, 2001)

On Optimal Camera Parameter Selection in Kalman Filter Based Object Tracking. - Joachim Denzler; Matthias Zobel; Heinrich Niemann (DAGM-Symposium, 2002)

Appearance Based Generic Object Modeling and Recognition Using Probabilistic Principal Component Analysis. - Christopher Drexler; Friedemann Mattern; Joachim Denzler (DAGM-Symposium, 2002)

Entropy based camera control for visual object tracking. - Joachim Denzler; Matthias Zobel; Heinrich Niemann (ICIP (3), 2002)

Improving Object Recognition by Fusion of Multiple Views. - Frank Deinzer; Joachim Denzler; Heinrich Niemann (ICVGIP, 2002)

Generic Hierarchic Object Models and Classification Based on Probabilistic PCA. - Christopher Drexler; Frank Mattem; Joachim Denzler (MVA, 2002)

Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation. - Joachim Denzler; Christopher M. Brown (IEEE Trans. Pattern Anal. Mach. Intell., 2002)

Viewpoint Selection - Planning Optimal Sequences of Views for Object Recognition. - Frank Deinzer; Joachim Denzler; Heinrich Niemann (CAIP, 2003)

Information Theoretic Focal Length Selection for Real-Time Active 3-D Object Tracking. - Joachim Denzler; Matthias Zobel; Heinrich Niemann (ICCV, 2003)

Using Test Plans for Bayesian Modeling. - Rainer Deventer; Joachim Denzler; Heinrich Niemann; Oliver Kreis (MLDM, 2003)

How Fusion of Multiple Views Can Improve Object Recognition in Real-World Environments. - Marcin Grzegorzek; Frank Deinzer; Michael Reinhold; Joachim Denzler; Heinrich Niemann (VMV, 2003)

Plenoptic Models in Robot Vision. - Joachim Denzler; Benno Heigl; Matthias Zobel; Heinrich Niemann (Künstliche Intell., 2003)

MOBSY: Integration of vision and dialogue in service robots. - Matthias Zobel; Joachim Denzler; Benno Heigl; Elmar Nöth; Dietrich Paulus; Jochen Schmidt; Georg Stemmer (Mach. Vis. Appl., 2003)

Multi-step Entropy Based Sensor Control for Visual Object Tracking. - Benjamin Deutsch; Matthias Zobel; Joachim Denzler; Heinrich Niemann (DAGM-Symposium, 2004)

Active Sensing Strategies for Robotic Platforms, with an Application in Vision-Based Gripping. - Benjamin Deutsch; Frank Deinzer; Matthias Zobel; Joachim Denzler (ICINCO (2), 2004)

Progressive Attenuation Fields: Fast 2D-3D Image Registration Without Precomputation. - Torsten Rohlfing; Daniel B. Russakoff; Joachim Denzler; Calvin R. Maurer Jr. (MICCAI (1), 2004)

Markerless Real-Time Target Region Tracking: Application to Frameless Sterotactic Radiosurgery. - Torsten Rohlfing; Joachim Denzler; Daniel B. Russakoff; Christoph Gräßl; Calvin R. Maurer Jr. (VMV, 2004)

Calibration of Real Scenes for the Reconstruction of Dynamic Light Fields. - Ingo Scholz; Joachim Denzler; Heinrich Niemann (IEICE Trans. Inf. Syst., 2004)

Self-Organizing, Adaptive Data Fusion for 3d Object Tracking. - Olaf Kähler; Joachim Denzler (ARCS Workshops, 2005)

Efficient Combination of Histograms for Real-Time Tracking Using Mean-Shift and Trust-Region Optimization. - Ferid Bajramovic; Christoph Gräßl; Joachim Denzler (DAGM-Symposium, 2005)

A Comparative Evaluation of Template and Histogram Based 2D Tracking Algorithms. - Benjamin Deutsch; Christoph Gräßl; Ferid Bajramovic; Joachim Denzler (DAGM-Symposium, 2005)

Multi-step active object tracking with entropy based optimal actions using the sequential Kalman filter. - Benjamin Deutsch; Heinrich Niemann; Joachim Denzler (ICIP (3), 2005)

Dynamic Light Field Reconstruction and Rendering for Multiple Moving Objects. - Ingo Scholz; Christian Vogelgsang; Joachim Denzler; Heinrich Niemann (MVA, 2005)

Appearance-based recognition of 3-D objects by cluttered background and occlusions. - Michael Reinhold; Marcin Grzegorzek; Joachim Denzler; Heinrich Niemann (Pattern Recognit., 2005)

Markerless real-time 3-D target region tracking by motion backprojection from projection images. - Torsten Rohlfing; Joachim Denzler; Christoph Gräßl; Daniel B. Russakoff; Calvin R. Maurer Jr. (IEEE Trans. Medical Imaging, 2005)

Aspects of Optimal Viewpoint Selection and Viewpoint Fusion. - Frank Deinzer; Joachim Denzler; Christian Derichs; Heinrich Niemann (ACCV (2), 2006)

A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition. - Ferid Bajramovic; Frank Mattern; Nicholas Butko; Joachim Denzler (ACIVS, 2006)

Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition. - Frank Deinzer; Christian Derichs; Heinrich Niemann; Joachim Denzler (BMVC, 2006)

06311 Executive Summary – Sensor Data and Information Fusion in Computer Vision and Medicine. - Joachim Denzler; Joachim Hornegger; Josef Kittler; Calvin R. Maurer Jr. (Sensor Data and Information Fusion in Computer Vision and Medicine, 2006)

06311 Abstracts Collection – Sensor Data and Information Fusion in Computer Vision and Medicine. - Joachim Denzler; Joachim Hornegger; Josef Kittler; Calvin R. Maurer Jr. (Sensor Data and Information Fusion in Computer Vision and Medicine, 2006)

An Information Theoretic Approach for Next Best View Planning in 3-D Reconstruction. - Stefan Wenhardt; Benjamin Deutsch; Joachim Hornegger; Heinrich Niemann; Joachim Denzler (ICPR (1), 2006)

Self-calibration with Partially Known Rotations. - Ferid Bajramovic; Joachim Denzler (DAGM-Symposium, 2007)

Rigid Motion Constraints for Tracking Planar Objects. - Olaf Kähler; Joachim Denzler (DAGM-Symposium, 2007)

Benchmarking 3D Reconstructions from Next Best View Planning. - Christoph Munkelt; Michael Trummer; Joachim Denzler; Stefan Wenhardt (MVA, 2007)

Detecting coplanar feature points in handheld image sequences. - Olaf Kähler; Joachim Denzler (VISAPP (2), 2007)

3D Blood Flow Reconstruction from 2D Angiograms. - Esther-Sabrina Platzer; Frank Deinzer; Dietrich Paulus; Joachim Denzler (Bildverarbeitung für die Medizin, 2008)

Global Uncertainty-based Selection of Relative Poses for Multi Camera Calibration. - Ferid Bajramovic; Joachim Denzler (BMVC, 2008)

Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach. - Olaf Kähler; Joachim Denzler (DAGM-Symposium, 2008)

Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation. - Erik Rodner; Herbert Süße; Wolfgang Ortmann; Joachim Denzler (Document Analysis Systems, 2008)

Generic Object Recognition Using Boosted Combined Features. - Doaa Hegazy; Joachim Denzler (RobVis, 2008)

Experimental Evaluation of Relative Pose Estimation Algorithms. - Marcel Brückner; Ferid Bajramovic; Joachim Denzler (VISAPP (2), 2008)

KLT Tracking Using Intrinsic and Extrinsic Camera Parameters in Consideration of Uncertainty. - Michael Trummer; Joachim Denzler; Christoph Munkelt (VISAPP (2), 2008)

Guided KLT Tracking Using Camera Parameters in Consideration of Uncertainty. - Michael Trummer; Joachim Denzler; Christoph Munkelt (VISIGRAPP (Selected Papers), 2008)

Robust Real-Time SFM in a Combined Formulation of Tracking and Reconstruction. - Olaf Kähler; Joachim Denzler (VMV, 2008)

Challenging Anomaly Detection in Wire Ropes Using Linear Prediction Combined with One-class Classification. - Esther-Sabrina Platzer; Joachim Denzler; Herbert Süße; Josef Nägele; Karl-Heinz Wehking (VMV, 2008)

Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees. - Erik Rodner; Joachim Denzler (VMV, 2008)

Efficient Adaptive Combination of Histograms for Real-Time Tracking. - Ferid Bajramovic; Benjamin Deutsch; Christoph Gräßl; Joachim Denzler (EURASIP J. Image Video Process., 2008)

On fusion of range and intensity information using Graph-Cut for planar patch segmentation. - Olaf Kähler; Erik Rodner; Joachim Denzler (Int. J. Intell. Syst. Technol. Appl., 2008)

Combining Appearance and Range Based Information for Multi-class Generic Object Recognition. - Doaa Hegazy; Joachim Denzler (CIARP, 2009)

Randomized Probabilistic Latent Semantic Analysis for Scene Recognition. - Erik Rodner; Joachim Denzler (CIARP, 2009)

Geometric and probabilistic image dissimilarity measures for common field of view detection. - Marcel Brückner; Ferid Bajramovic; Joachim Denzler (CVPR, 2009)

Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features. - Michael Kemmler; Erik Rodner; Joachim Denzler (Dyn3D, 2009)

View Planning for 3D Reconstruction Using Time-of-Flight Camera Data. - Christoph Munkelt; Michael Trummer; Peter Kühmstedt; Gunther Notni; Joachim Denzler (DAGM-Symposium, 2009)

HMM-Based Defect Localization in Wire Ropes - A New Approach to Unusual Subsequence Recognition. - Esther-Sabrina Platzer; Josef Nägele; Karl-Heinz Wehking; Joachim Denzler (DAGM-Symposium, 2009)

Pedestrian Detection by Probabilistic Component Assembly. - Martin Rapus; Stefan Munder; Gregory Baratoff; Joachim Denzler (DAGM-Symposium, 2009)

Learning with Few Examples by Transferring Feature Relevance. - Erik Rodner; Joachim Denzler (DAGM-Symposium, 2009)

Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning. - Michael Trummer; Christoph Munkelt; Joachim Denzler (DAGM-Symposium, 2009)

Coarse registration of 3D surface triangulations based on moment invariants with applications to object alignment and identification. - Michael Trummer; Herbert Suesse; Joachim Denzler (ICCV, 2009)

Temporal Estimation of the 3d Guide-Wire Position Using 2d X-ray Images. - Marcel Brückner; Frank Deinzer; Joachim Denzler (MICCAI (1), 2009)

Extending GKLT Tracking - Feature Tracking for Controlled Environments with Integrated Uncertainty Estimation. - Michael Trummer; Christoph Munkelt; Joachim Denzler (SCIA, 2009)

Experimental Comparison of Wide Baseline Correspondence Algorithms for Multi Camera Calibration. - Ferid Bajramovic; Michael Koch 003; Joachim Denzler (VISAPP (2), 2009)

Generic 3D Object Recognition from Time-of-Flight Images using Boosted Combined Shape Features. - Doaa Hegazy; Joachim Denzler (VISAPP (2), 2009)

Robustness of Different Features for One-class Classification and Anomaly Detection in Wire Ropes. - Esther-Sabrina Platzer; Joachim Denzler; Herbert Süße; Josef Nägele; Karl-Heinz Wehking (VISAPP (1), 2009)

On the Suitability of Different Features for Anomaly Detection in Wire Ropes. - Esther-Sabrina Platzer; Herbert Süße; Josef Nägele; Karl-Heinz Wehking; Joachim Denzler (VISIGRAPP (Selected Papers), 2009)

Using Common Field of View Detection for Multi Camera Calibration. - Ferid Bajramovic; Marcel Brückner; Joachim Denzler (VMV, 2009)

A Framework for Actively Selecting Viewpoints in Object Recognition. - Frank Deinzer; Christian Derichs; Heinrich Niemann; Joachim Denzler (Int. J. Pattern Recognit. Artif. Intell., 2009)

One-Class Classification with Gaussian Processes. - Michael Kemmler; Erik Rodner; Joachim Denzler (ACCV (2), 2010)

Multi-View Planning for Simultaneous Coverage and Accuracy Optimisation. - Christoph Munkelt; Andreas Breitbarth; Gunther Notni; Joachim Denzler (BMVC, 2010)

Active Self-calibration of Multi-camera Systems. - Marcel Brückner; Joachim Denzler (DAGM-Symposium, 2010)

Classification of Microorganisms via Raman Spectroscopy Using Gaussian Processes. - Michael Kemmler; Joachim Denzler; Petra Rösch; Jürgen Popp (DAGM-Symposium, 2010)

One-Shot Learning of Object Categories Using Dependent Gaussian Processes. - Erik Rodner; Joachim Denzler (DAGM-Symposium, 2010)

A Fast Approach for Pixelwise Labeling of Facade Images. - Björn Fröhlich; Erik Rodner; Joachim Denzler (ICPR, 2010)

Online Next-Best-View Planning for Accuracy Optimization Using an Extended E-Criterion. - Michael Trummer; Christoph Munkelt; Joachim Denzler (ICPR, 2010)

An Analysis-by-Synthesis Approach to Rope Condition Monitoring. - Esther-Sabrina Wacker; Joachim Denzler (ISVC (2), 2010)

Analysis of Structural Dependencies for the Automatic Visual Inspection of Wire Ropes. - Daniel Haase; Esther-Sabrina Wacker; Ernst Günter Schukat-Talamazzini; Joachim Denzler (VMV, 2010)

Combining Structure and Appearance for Anomaly Detection in Wire Ropes. - Esther-Sabrina Wacker; Joachim Denzler (CAIP (2), 2011)

Multi-view Active Appearance Models for the X-Ray Based Analysis of Avian Bipedal Locomotion. - Daniel Haase; John A. Nyakatura; Joachim Denzler (DAGM-Symposium, 2011)

Exploiting the Manhattan-world assumption for extrinsic self-calibration of multi-modal sensor networks. - Marcel Brückner; Joachim Denzler (ICCV, 2011)

A Method for Fast Composing of Images Captured from Deformed Documents by a Quadocular Scanner Setup. - Marco Körner 001; Herbert Süße; Wolfgang Ortmann; Joachim Denzler (MVA, 2011)

One-Class Classification for Anomaly Detection in Wire Ropes with Gaussian Processes in a Few Lines of Code. - Erik Rodner; Esther-Sabrina Wacker; Michael Kemmler; Joachim Denzler (MVA, 2011)

Anatomical Landmark Tracking for the Analysis of Animal Locomotion in X-ray Videos Using Active Appearance Models. - Daniel Haase; Joachim Denzler (SCIA, 2011)

Extrinsic Self-Calibration of Time-of-Flight Cameras using a Combination of 3D and Intensity Descriptors. - Jörn Schmidt; Marcel Brückner; Joachim Denzler (VMV, 2011)

Learning with few examples for binary and multiclass classification using regularization of randomized trees. - Erik Rodner; Joachim Denzler (Pattern Recognit. Lett., 2011)

Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. - Alexander Freytag; Erik Rodner; Paul Bodesheim; Joachim Denzler (ACCV (2), 2012)

Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach. - Björn Fröhlich; Erik Rodner; Joachim Denzler (ACCV (1), 2012)

Analyzing the Subspaces Obtained by Dimensionality Reduction for Human Action Recognition from 3d Data. - Marco Körner 001; Joachim Denzler (AVSS, 2012)

Divergence-Based One-Class Classification Using Gaussian Processes. - Paul Bodesheim; Erik Rodner; Alexander Freytag; Joachim Denzler (BMVC, 2012)

As Time Goes by - Anytime Semantic Segmentation with Iterative Context Forests. - Björn Fröhlich; Erik Rodner; Joachim Denzler (DAGM/OAGM Symposium, 2012)

PHOG-Derived Aesthetic Measures Applied to Color Photographs of Artworks, Natural Scenes and Objects. - Christoph Redies; Seyed Ali Amirshahi; Michael Koch 003; Joachim Denzler (ECCV Workshops (1), 2012)

Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. - Erik Rodner; Alexander Freytag; Paul Bodesheim; Joachim Denzler (ECCV (4), 2012)

PHOG analysis of self-similarity in aesthetic images. - Seyed Ali Amirshahi; Michael Koch 003; Joachim Denzler; Christoph Redies (Human Vision and Electronic Imaging, 2012)

Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems. - Xiaoyan Jiang; Erik Rodner; Joachim Denzler (ICCVG, 2012)

Data association for multi-object Tracking-by-Detection in multi-camera networks. - Michael Bredereck; Xiaoyan Jiang; Marco Körner 001; Joachim Denzler (ICDSC, 2012)

Efficient semantic segmentation with Gaussian processes and histogram intersection kernels. - Alexander Freytag; Björn Fröhlich; Erik Rodner; Joachim Denzler (ICPR, 2012)

Finding discriminative features for Raman spectroscopy. - Michael Kemmler; Joachim Denzler (ICPR, 2012)

Scale-independent Spatio-temporal Statistical Shape Representations for 3D Human Action Recognition. - Marco Körner 001; Daniel Haase; Joachim Denzler (ICPRAM (1), 2012)

Semantic Segmentation using GrabCut. - Christoph Göring; Björn Fröhlich; Joachim Denzler (VISAPP (1), 2012)

Fast and Robust Landmark Tracking in X-ray Locomotion Sequences Containing Severe Occlusions. - Manuel Amthor; Daniel Haase; Joachim Denzler (VMV, 2012)

An Efficient Shortest Triangle Paths Algorithm Applied to Multi-camera Self-calibration. - Ferid Bajramovic; Marcel Brückner; Joachim Denzler (J. Math. Imaging Vis., 2012)

Tracking and Reconstruction in a Combined Optimization Approach. - Olaf Kähler; Joachim Denzler (IEEE Trans. Pattern Anal. Mach. Intell., 2012)

How Self-Similar are Artworks at Different Levels of Spatial Resolution?. - Seyed Ali Amirshahi; Christoph Redies; Joachim Denzler (CAe@Expressive, 2013)

Accurate 3D Multi-marker Tracking in X-ray Cardiac Sequences Using a Two-Stage Graph Modeling Approach. - Xiaoyan Jiang; Daniel Haase; Marco Körner 001; Wolfgang Bothe; Joachim Denzler (CAIP (2), 2013)

Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups. - Marco Körner 001; Joachim Denzler (CAIP (1), 2013)

Kernel Null Space Methods for Novelty Detection. - Paul Bodesheim; Alexander Freytag; Erik Rodner; Michael Kemmler; Joachim Denzler (CVPR, 2013)

Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. - Alexander Freytag; Erik Rodner; Paul Bodesheim; Joachim Denzler (GCPR, 2013)

Hierarchical Dirichlet Processes for unsupervised online multi-view action perception using Temporal Self-Similarity features. - Mahesh Venkata Krishna; Marco Körner 001; Joachim Denzler (ICDSC, 2013)

JAR-Aibo: A Multi-view Dataset for Evaluation of Model-Free Action Recognition Systems. - Marco Körner 001; Joachim Denzler (ICIAP Workshops, 2013)

Efficient Measuring of Facial Action Unit Activation Intensities using Active Appearance Models. - Daniel Haase; Michael Kemmler; Orlando Guntinas-Lichius; Joachim Denzler (MVA, 2013)

Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. - Paul Bodesheim; Alexander Freytag; Erik Rodner; Joachim Denzler (SCIA, 2013)

Automated Classification of Therapeutic Face Exercises using the Kinect. - Cornelia Lanz; Birant Sibel Olgay; Joachim Denzler; Horst-Michael Gross (VISAPP (1), 2013)

Facial Landmark Localization and Feature Extraction for Therapeutic Face Exercise Classification. - Cornelia Lanz; Birant Sibel Olgay; Joachim Denzler; Horst-Michael Gross (VISIGRAPP (Selected Papers), 2013)

Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. - Christoph Göring; Alexander Freytag; Erik Rodner; Joachim Denzler (CoRR, 2013)

2D and 3D analysis of animal locomotion from biplanar X-ray videos using augmented active appearance models. - Daniel Haase; Joachim Denzler (EURASIP J. Image Video Process., 2013)

Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition. - Björn Fröhlich; Erik Rodner; Michael Kemmler; Joachim Denzler (Mach. Vis. Appl., 2013)

One-class classification with Gaussian processes. - Michael Kemmler; Erik Rodner; Esther-Sabrina Wacker; Joachim Denzler (Pattern Recognit., 2013)

Enhanced anomaly detection in wire ropes by combining structure and appearance. - Esther-Sabrina Wacker; Joachim Denzler (Pattern Recognit. Lett., 2013)

Part Detector Discovery in Deep Convolutional Neural Networks. - Marcel Simon; Erik Rodner; Joachim Denzler (ACCV (2), 2014)

Nonparametric Part Transfer for Fine-Grained Recognition. - Christoph Göring; Erik Rodner; Alexander Freytag; Joachim Denzler (CVPR, 2014)

Instance-Weighted Transfer Learning of Active Appearance Models. - Daniel Haase; Erik Rodner; Joachim Denzler (CVPR, 2014)

Exemplar-Specific Patch Features for Fine-Grained Recognition. - Alexander Freytag; Erik Rodner; Trevor Darrell; Joachim Denzler (GCPR, 2014)

A Hierarchical Bayesian Approach for Unsupervised Cell Phenotype Clustering. - Mahesh Venkata Krishna; Joachim Denzler (GCPR, 2014)

Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research. - Clemens Beckstein; Sebastian Böcker; Martin Bogdan; Helge Bruelheide; H. Martin Bücker; Joachim Denzler; Peter Dittrich; Ivo Grosse; Alexander Hinneburg; Birgitta König-Ries; Felicitas Löffler; Manja Marz; et al. (DATA, 2014)

JenAesthetics Subjective Dataset: Analyzing Paintings by Subjective Scores. - Seyed Ali Amirshahi; Gregor Uwe Hayn-Leichsenring; Joachim Denzler; Christoph Redies (ECCV Workshops (1), 2014)

Selecting Influential Examples: Active Learning with Expected Model Output Changes. - Alexander Freytag; Erik Rodner; Joachim Denzler (ECCV (4), 2014)

Quantitative Analysis of Pathological Mitochondrial Morphology in Neuronal Cells in Confocal Laser Scanning Microscopy Images. - Herbert Süße; Wolfgang Ortmann; Janin Lautenschläger; Christian Lautenschläger; Marco Körner 001; Julian Grosskreutz; Joachim Denzler (IWBBIO, 2014)

Regularized Geometric Hulls for Nucleus Segmentation from Microscopy Images. - Marco Körner 001; Mahesh Venkata Krishna; Herbert Süße; Wolfgang Ortmann; Joachim Denzler (MIUA, 2014)

Robust Pictorial Structures for X-ray Animal Skeleton Tracking. - Manuel Amthor; Daniel Haase; Joachim Denzler (VISAPP (3), 2014)

A Graph-based MAP Solution for Multi-person Tracking using Multi-camera Systems. - Xiaoyan Jiang; Marco Körner 001; Daniel Haase; Joachim Denzler (VISAPP (3), 2014)

A combination of generative and discriminative models for fast unsupervised activity recognition from traffic scene videos. - Mahesh Venkata Krishna; Joachim Denzler (WACV, 2014)

ARTOS - Adaptive Real-Time Object Detection System. - Björn Barz; Erik Rodner; Joachim Denzler (CoRR, 2014)

Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods. - Alexander Freytag; Johannes Rühle; Paul Bodesheim; Erik Rodner; Joachim Denzler (CoRR, 2014)

Intrinsic and extrinsic active self-calibration of multi-camera systems. - Marcel Brückner; Ferid Bajramovic; Joachim Denzler (Mach. Vis. Appl., 2014)

Active learning and discovery of object categories in the presence of unnameable instances. - Christoph Käding; Alexander Freytag; Erik Rodner; Paul Bodesheim; Joachim Denzler (CVPR, 2015)

Road Condition Estimation Based on Spatio-Temporal Reflection Models. - Manuel Amthor; Bernd Hartmann; Joachim Denzler (GCPR, 2015)

Interactive Image Retrieval for Biodiversity Research. - Alexander Freytag; Alena Schadt; Joachim Denzler (GCPR, 2015)

Additional Traffic Sign Detection - A Comparative Study. - Thomas Wenzel; Steffen Brüggert; Joachim Denzler (ITSC, 2015)

Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks. - Johannes Rühle; Erik Rodner; Joachim Denzler (MVA, 2015)

Fine-grained classification of identity document types with only one example. - Marcel Simon; Erik Rodner; Joachim Denzler (MVA, 2015)

Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. - Clemens-Alexander Brust; Sven Sickert; Marcel Simon; Erik Rodner; Joachim Denzler (VISAPP (2), 2015)

Local Novelty Detection in Multi-class Recognition Problems. - Paul Bodesheim; Alexander Freytag; Erik Rodner; Joachim Denzler (WACV, 2015)

Fine-grained Recognition Datasets for Biodiversity Analysis. - Erik Rodner; Marcel Simon; Gunnar Brehm; Stephanie Pietsch; Johann-Wolfgang Wägele; Joachim Denzler (CoRR, 2015)

Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. - Christoph Käding; Erik Rodner; Alexander Freytag; Joachim Denzler (ACCV Workshops (3), 2016)

Vegetation Segmentation in Cornfield Images Using Bag of Words. - Yerania Campos; Erik Rodner; Joachim Denzler; Humberto Sossa; Gonzalo Pajares (ACIVS, 2016)

Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. - Manuel Amthor; Erik Rodner; Joachim Denzler (BMVC, 2016)

Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. - Erik Rodner; Marcel Simon; Robert B. Fisher; Joachim Denzler (BMVC, 2016)

SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos. - Jonas Jäger; Erik Rodner; Joachim Denzler; Viviane Wolff; Klaus Fricke-Neuderth (CLEF (Working Notes), 2016)

Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. - Alexander Freytag; Erik Rodner; Marcel Simon; Alexander Loos; Hjalmar S. Kühl; Joachim Denzler (GCPR, 2016)

Large-Scale Active Learning with Approximations of Expected Model Output Changes. - Christoph Käding; Alexander Freytag; Erik Rodner; Andrea Perino; Joachim Denzler (GCPR, 2016)

Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception. - Joachim Denzler; Erik Rodner; Marcel Simon (ECCV Workshops (1), 2016)

Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. - Christoph Käding; Erik Rodner; Alexander Freytag; Joachim Denzler (ESANN, 2016)

Additional traffic sign detection using learned corner representations. - Thomas Wenzel; Steffen Brüggert; Joachim Denzler (Intelligent Vehicles Symposium, 2016)

Unsupervised Framework for Interactions Modeling between Multiple Objects. - Ali Al-Raziqi; Joachim Denzler (VISIGRAPP (4: VISAPP), 2016)

Facial Paresis Index Prediction by Exploiting Active Appearance Models for Compact Discriminative Features. - Luise Modersohn; Joachim Denzler (VISIGRAPP (4: VISAPP), 2016)

Color: A Crucial Factor for Aesthetic Quality Assessment in a Subjective Dataset of Paintings. - Seyed Ali Amirshahi; Gregor Uwe Hayn-Leichsenring; Joachim Denzler; Christoph Redies (CoRR, 2016)

Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks. - Clemens-Alexander Brust; Sven Sickert; Marcel Simon; Erik Rodner; Joachim Denzler (CoRR, 2016)

Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. - Christoph Käding; Erik Rodner; Alexander Freytag; Joachim Denzler (CoRR, 2016)

Maximally Divergent Intervals for Anomaly Detection. - Erik Rodner; Björn Barz; Yanira Guanche; Milan Flach; Miguel D. Mahecha; Paul Bodesheim; Markus Reichstein; Joachim Denzler (CoRR, 2016)

ImageNet pre-trained models with batch normalization. - Marcel Simon; Erik Rodner; Joachim Denzler (CoRR, 2016)

Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. - Alexander Schultheiß; Christoph Käding; Alexander Freytag; Joachim Denzler (GCPR, 2017)

Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues. - Sven Sickert; Joachim Denzler (GCPR, 2017)

Judging Aesthetic Quality in Paintings Based on Artistic Inspired Color Features. - Seyed Ali Amirshahi; Joachim Denzler (DICTA, 2017)

A Feedback Estimation Approach for Therapeutic Facial Training. - Cornelia Dittmar; Joachim Denzler; Horst-Michael Gross (FG, 2017)

One-Shot Learned Priors in Augmented Active Appearance Models for Anatomical Landmark Tracking. - Oliver Mothes; Joachim Denzler (VISIGRAPP (Revised Selected Papers), 2017)

Generalized Orderless Pooling Performs Implicit Salient Matching. - Marcel Simon; Yang Gao 029; Trevor Darrell; Joachim Denzler; Erik Rodner (ICCV, 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)

Unsupervised Group Activity Detection by Hierarchical Dirichlet Processes. - Ali Al-Raziqi; Joachim Denzler (ICIAR, 2017)

Towards unconstrained content recognition of additional traffic signs. - Thomas Wenzel; Steffen Brüggert; Joachim Denzler (Intelligent Vehicles Symposium, 2017)

From corners to rectangles - Directional road sign detection using learned corner representations. - Thomas Wenzel; Ta-Wei Chou; Steffen Brüggert; Joachim Denzler (Intelligent Vehicles Symposium, 2017)

Using Color Difference Equations for Calculating Gradient Images. - Seyed Ali Amirshahi; Seyed Hossein Amirshahi; Joachim Denzler (SITIS, 2017)

Anatomical Landmark Tracking by One-shot Learned Priors for Augmented Active Appearance Models. - Oliver Mothes; Joachim Denzler (VISIGRAPP (6: VISAPP), 2017)

Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. - Marc Aubreville; Christian Knipfer; Nicolai Oetter; Christian Jaremenko; Erik Rodner; Joachim Denzler; Christopher Bohr; Helmut Neumann; Florian Stelzle; Andreas K. Maier (CoRR, 2017)

Fast Learning and Prediction for Object Detection using Whitened CNN Features. - Björn Barz; Erik Rodner; Christoph Käding; Joachim Denzler (CoRR, 2017)

Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. - Talha Qaiser; Abhik Mukherjee; Chaitanya Reddy Pb; Sai Dileep Munugoti; Vamsi Tallam; Tomi Pitkäaho; Taina Lehtimäki; Thomas J. Naughton; Matt Berseth; Aníbal Pedraza; Ramakrishnan Mukundan; Matthew Smith 007; et al. (CoRR, 2017)

Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks. - Erik Rodner; Alexander Freytag; Paul Bodesheim; Björn Fröhlich; Joachim Denzler (Int. J. Comput. Vis., 2017)

Emergent Techniques and Applications for Big Visual Data. - Zhijun Fang; Jenq-Neng Hwang; Xiaoming Huo; Hyo Jong Lee; Joachim Denzler (Int. J. Digit. Multim. Broadcast., 2017)

Multi-marker tracking for large-scale X-ray stereo video data. - Xiaoyan Jiang; Marcel Simon; Yuan Yang; Joachim Denzler (Signal Process. Image Commun., 2017)

Active Learning for Regression Tasks with Expected Model Output Changes. - Christoph Käding; Erik Rodner; Alexander Freytag; Oliver Mothes; Björn Barz; Joachim Denzler (BMVC, 2018)

Information-Theoretic Active Learning for Content-Based Image Retrieval. - Björn Barz; Christoph Käding; Joachim Denzler (GCPR, 2018)

Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data. - Björn Barz; Thomas C. van Dijk; Bert Spaan; Joachim Denzler (GeoHumanities@SIGSPATIAL, 2018)

Predicting Landscapes as Seen from Space from Environmental Conditions. - Christian Requena-Mesa; Markus Reichstein; Miguel D. Mahecha; Basil Kraft; Joachim Denzler (IGARSS, 2018)

MB-Net: MergeBoxes for Real-Time 3D Vehicles Detection. - Nils Gählert; Marina Mayer; Lukas Schneider; Uwe Franke; Joachim Denzler (Intelligent Vehicles Symposium, 2018)

Automatic Query Image Disambiguation for Content-based Image Retrieval. - Björn Barz; Joachim Denzler (VISIGRAPP (5: VISAPP), 2018)

Not just a matter of semantics: the relationship between visual similarity and semantic similarity. - Clemens-Alexander Brust; Joachim Denzler (CoRR, 2018)

Towards Automatic Identification of Elephants in the Wild. - Matthias Körschens; Björn Barz; Joachim Denzler (CoRR, 2018)

Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers. - Clemens-Alexander Brust; Joachim Denzler (ACPR (1), 2019)

Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity. - Clemens-Alexander Brust; Joachim Denzler (GCPR, 2019)

Classification-Specific Parts for Improving Fine-Grained Visual Categorization. - Dimitri Korsch; Paul Bodesheim; Joachim Denzler (GCPR, 2019)

Predicting Landscapes from Environmental Conditions Using Generative Networks. - Christian Requena-Mesa; Markus Reichstein; Miguel D. Mahecha; Basil Kraft; Joachim Denzler (GCPR, 2019)

Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems. - Maha Shadaydeh; Joachim Denzler; Yanira Guanche Garcia; Miguel D. Mahecha (GCPR, 2019)

Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection. - Violeta Teodora Trifunov; Maha Shadaydeh; Jakob Runge; Veronika Eyring; Markus Reichstein; Joachim Denzler (GCPR, 2019)

ELPephants: A Fine-Grained Dataset for Elephant Re-Identification. - Matthias Körschens; Joachim Denzler (ICCV Workshops, 2019)

Edge-Convolution Point Net for Semantic Segmentation of Large-Scale Point Clouds. - Jhonatan Contreras; Joachim Denzler (IGARSS, 2019)

Registration of High Resolution Sar and Optical Satellite Imagery Using Fully Convolutional Networks. - Stefan Hoffmann 007; Clemens-Alexander Brust; Maha Shadaydeh; Joachim Denzler (IGARSS, 2019)

Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images. - Nils Gählert; Jun-Jun Wan; Michael Weber 009; J. Marius Zöllner; Uwe Franke; Joachim Denzler (IV, 2019)

Active Learning for Deep Object Detection. - Clemens-Alexander Brust; Christoph Käding; Joachim Denzler (VISIGRAPP (5: VISAPP), 2019)

Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality. - Lea Müller; Maha Shadaydeh; Martin Thümmel; Thomas Kessler; Dana Schneider; Joachim Denzler (VISIGRAPP (5: VISAPP), 2019)

Hierarchy-Based Image Embeddings for Semantic Image Retrieval. - Björn Barz; Joachim Denzler (WACV, 2019)

Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images. - Björn Barz; Kai Schröter; Moritz Münch; Bin Yang; Andrea Unger; Doris Dransch; Joachim Denzler (CoRR, 2019)

Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents. - Oliver Mothes; Joachim Denzler (CoRR, 2019)

Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection. - Martin Thümmel; Joachim Denzler (CoRR, 2019)

LOST: A flexible framework for semi-automatic image annotation. - Jonas Jäger; Gereon Reus; Joachim Denzler; Viviane Wolff; Klaus Fricke-Neuderth (CoRR, 2019)

Deep learning and process understanding for data-driven Earth system science. - Markus Reichstein; Gustau Camps-Valls; Bjorn Stevens; Martin Jung 002; Joachim Denzler; Nuno Carvalhais; Prabhat (Nat., 2019)

Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. - Björn Barz; Erik Rodner; Yanira Guanche Garcia; Joachim Denzler (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Towards Confirmable Automated Plant Cover Determination. - Matthias Körschens; Paul Bodesheim; Christine Römermann; Solveig Franziska Bucher; Josephine Ulrich; Joachim Denzler (ECCV Workshops (6), 2020)

Determining the Relevance of Features for Deep Neural Networks. - Christian Reimers; Jakob Runge; Joachim Denzler (ECCV (26), 2020)

Content-Based Image Retrieval and the Semantic Gap in the Deep Learning Era. - Björn Barz; Joachim Denzler (ICPR Workshops (2), 2020)

Finding Relevant Flood Images on Twitter Using Content-Based Filters. - Björn Barz; Kai Schröter; Ann-Christin Kra; Joachim Denzler (ICPR Workshops (6), 2020)

Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. - Clemens-Alexander Brust; Björn Barz; Joachim Denzler (ICPR, 2020)

Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time. - Nils Gählert; Jun-Jun Wan; Nicolas Jourdan 001; Jan Finkbeiner; Uwe Franke; Joachim Denzler (IV, 2020)

Automatic and Objective Facial Palsy Grading Index Prediction Using Deep Feature Regression. - Anish Raj; Oliver Mothes; Sven Sickert; Gerd Fabian Volk; Orlando Guntinas-Lichius; Joachim Denzler (MIUA, 2020)

Deep Learning on Small Datasets without Pre-Training using Cosine Loss. - Björn Barz; Joachim Denzler (WACV, 2020)

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection. - Nils Gählert; Nicolas Jourdan 001; Marius Cordts; Uwe Franke; Joachim Denzler (CoRR, 2020)

Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. - Anko Börner; Heinz-Wilhelm Hübers; Odej Kao; Florian Schmidt 006; Soeren Becker 001; Joachim Denzler; Daniel Matolin; David Haber; Sergio Lucia; Wojciech Samek; Rudolph Triebel; Sascha Eichstädt; et al. (CoRR, 2020)

Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes. - Nils Gählert; Niklas Hanselmann; Uwe Franke; Joachim Denzler (CoRR, 2020)

Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time. - Nils Gählert; Jun-Jun Wan; Nicolas Jourdan 001; Jan Finkbeiner; Uwe Franke; Joachim Denzler (CoRR, 2020)

End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition. - Dimitri Korsch; Paul Bodesheim; Joachim Denzler (CoRR, 2020)

EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts. - Christian Requena-Mesa; Vitus Benson; Joachim Denzler; Jakob Runge; Markus Reichstein (CoRR, 2020)

Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study. - Maha Shadaydeh; Lea Müller; Dana Schneider; Martin Thümmel; Thomas Kessler; Joachim Denzler (CoRR, 2020)

Do We Train on Test Data? Purging CIFAR of Near-Duplicates. - Björn Barz; Joachim Denzler (J. Imaging, 2020)

Active and Incremental Learning with Weak Supervision. - Clemens-Alexander Brust; Christoph Käding; Joachim Denzler (Künstliche Intell., 2020)

The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization. - Marcel Simon; Erik Rodner; Trevor Darrell; Joachim Denzler (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Region-Based Edge Convolutions With Geometric Attributes for the Semantic Segmentation of Large-Scale 3-D Point Clouds. - Jhonatan Contreras; Sven Sickert; Joachim Denzler (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020)

Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification. - Christian Reimers; Niklas Penzel; Paul Bodesheim; Jakob Runge; Joachim Denzler (CVPR Workshops, 2021)

EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task. - Christian Requena-Mesa; Vitus Benson; Markus Reichstein; Jakob Runge; Joachim Denzler (CVPR Workshops, 2021)

End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition. - Dimitri Korsch; Paul Bodesheim; Joachim Denzler (GCPR, 2021)

Weakly Supervised Segmentation Pretraining for Plant Cover Prediction. - Matthias Körschens; Paul Bodesheim; Christine Römermann; Solveig Franziska Bucher; Mirco Migliavacca; Josephine Ulrich; Joachim Denzler (GCPR, 2021)

Investigating the Consistency of Uncertainty Sampling in Deep Active Learning. - Niklas Penzel; Christian Reimers; Clemens-Alexander Brust; Joachim Denzler (GCPR, 2021)

Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data. - Christian Reimers; Paul Bodesheim; Jakob Runge; Joachim Denzler (GCPR, 2021)

Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning. - Daphne Auer; Paul Bodesheim; Christian Fiderer; Marco Heurich; Joachim Denzler (GI-Jahrestagung, 2021)

Exploiting Web Images for Moth Species Classification. - Julia Böhlke; Dimitri Korsch; Paul Bodesheim; Joachim Denzler (GI-Jahrestagung, 2021)

Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance. - Clemens-Alexander Brust; Björn Barz; Joachim Denzler (GI-Jahrestagung, 2021)

Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification. - Dimitri Korsch; Paul Bodesheim; Joachim Denzler (GI-Jahrestagung, 2021)

Automatic Plant Cover Estimation with Convolutional Neural Networks. - Matthias Körschens; Paul Bodesheim; Christine Römermann; Solveig Franziska Bucher; Mirco Migliavacca; Josephine Ulrich; Joachim Denzler (GI-Jahrestagung, 2021)

Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. - Lorenzo Brigato; Björn Barz; Luca Iocchi; Joachim Denzler (ICCVW, 2021)

Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. - Wasim Ahmad; Maha Shadaydeh; Joachim Denzler (ICMLA, 2021)

Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. - Violeta Teodora Trifunov; Maha Shadaydeh; Björn Barz; Joachim Denzler (ICMLA, 2021)

Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection. - Martin Thümmel; Sven Sickert; Joachim Denzler (IWBF, 2021)

Detecting Scenes in Fiction Using the Embedding Delta Signal. - Felix Schneider; Björn Barz; Joachim Denzler (STSS@KONVENS, 2021)

WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. - Björn Barz; Joachim Denzler (NeurIPS Datasets and Benchmarks, 2021)

Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images. - Julia Böhlke; Dimitri Korsch; Paul Bodesheim; Joachim Denzler (VISIGRAPP (5: VISAPP), 2021)

Analyzing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study. - Maha Shadaydeh; Lea Müller; Dana Schneider; Martin Thümmel; Thomas Kessler; Joachim Denzler (IEEE Access, 2021)

A Data-Driven Approach to Partitioning Net Ecosystem Exchange Using a Deep State Space Model. - Violeta Teodora Trifunov; Maha Shadaydeh; Jakob Runge; Markus Reichstein; Joachim Denzler (IEEE Access, 2021)

Counterfactual Generation with Knockoffs. - Oana-Iuliana Popescu; Maha Shadaydeh; Joachim Denzler (CoRR, 2021)

Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing. - Christian Reimers; Paul Bodesheim; Jakob Runge; Joachim Denzler (CoRR, 2021)

A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. - Björn Barz; Lorenzo Brigato; Luca Iocchi; Joachim Denzler (CoRR, 2021)

Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity. - Bernd Gruner; Matthias Körschens; Björn Barz; Joachim Denzler (CoRR, 2021)

WikiChurches - A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. - Björn Barz; Joachim Denzler (Zenodo, 2021)

Facing Asymmetry - Uncovering the Causal Link Between Facial Symmetry and Expression Classifiers Using Synthetic Interventions. - Tim Büchner; Niklas Penzel; Orlando Guntinas-Lichius; Joachim Denzler (ACCV (4), 2022)

Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach. - Sven Festag; Gideon Stein; Tim Büchner; Maha Shadaydeh; Joachim Denzler; Cord Spreckelsen (CinC, 2022)

Investigating Neural Network Training on a Feature Level Using Conditional Independence. - Niklas Penzel; Christian Reimers; Paul Bodesheim; Joachim Denzler (ECCV Workshops (6), 2022)

Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout. - Matthias Körschens; Paul Bodesheim; Joachim Denzler (ICPR, 2022)

Towards a Unified Benchmark for Monocular Radial Distortion Correction and the Importance of Testing on Real-World Data. - Christoph Theiß; Joachim Denzler (ICPRAI (1), 2022)

Automatic Objective Severity Grading of Peripheral Facial Palsy Using 3D Radial Curves Extracted from Point Clouds. - Tim Büchner; Sven Sickert; Gerd Fabian Volk; Orlando Guntinas-Lichius; Joachim Denzler (MIE, 2022)

Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High German. - Felix Schneider; Sven Sickert; Phillip Brandes; Sophie Marshall; Joachim Denzler (MWE@LREC2022, 2022)

Weakly-supervised Localization of Multiple Objects in Images using Cosine Loss. - Björn Barz; Joachim Denzler (VISIGRAPP (5: VISAPP), 2022)

Self-supervised Learning from Semantically Imprecise Data. - Clemens-Alexander Brust; Björn Barz; Joachim Denzler (VISIGRAPP (5: VISAPP), 2022)

Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization. - Matthias Körschens; Paul Bodesheim; Joachim Denzler (VISIGRAPP (4: VISAPP), 2022)

Image Classification With Small Datasets: Overview and Benchmark. - Lorenzo Brigato; Björn Barz; Luca Iocchi; Joachim Denzler (IEEE Access, 2022)

Causal Discovery using Model Invariance through Knockoff Interventions. - Wasim Ahmad; Maha Shadaydeh; Joachim Denzler (CoRR, 2022)

Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding. - Violeta Teodora Trifunov; Maha Shadaydeh; Joachim Denzler (CoRR, 2022)

Is it worth it? An experimental comparison of six deep- and classical machine learning methods for unsupervised anomaly detection in time series. - Ferdinand Rewicki; Joachim Denzler; Julia Niebling (CoRR, 2022)

Generative adversarial networks for biomedical time series forecasting and imputation. - Sven Festag; Joachim Denzler; Cord Spreckelsen (J. Biomed. Informatics, 2022)

Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs. - Tim Büchner; Orlando Guntinas-Lichius; Joachim Denzler (ACIVS, 2023)

Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization. - Jan Blunk; Niklas Penzel; Paul Bodesheim; Joachim Denzler (DAGM, 2023)

Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping. - Matthias Körschens; Solveig Franziska Bucher; Christine Römermann; Joachim Denzler (DAGM, 2023)

Unified Automatic Plant Cover and Phenology Prediction. - Matthias Körschens; Solveig Franziska Bucher; Christine Römermann; Joachim Denzler (ICCV (Workshops), 2023)

Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances. - Niklas Penzel; Jana Kierdorf; Ribana Roscher; Joachim Denzler (ICCV (Workshops), 2023)

Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps. - Tim Büchner; Sven Sickert; Roland Grassme; Christoph Anders 001; Orlando Guntinas-Lichius; Joachim Denzler (ISVC (2), 2023)

From Faces to Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans. - Tim Büchner; Sven Sickert; Gerd Fabian Volk; Orlando Guntinas-Lichius; Joachim Denzler (ISVC (1), 2023)

Interpreting Art by Leveraging Pre-Trained Models. - Niklas Penzel; Joachim Denzler (MVA, 2023)

Let's Get the FACS Straight: Reconstructing Obstructed Facial Features. - Tim Büchner; Sven Sickert; Gerd Fabian Volk; Christoph Anders 001; Orlando Guntinas-Lichius; Joachim Denzler (VISIGRAPP (4: VISAPP), 2023)

Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps. - Dimitri Korsch; Paul Bodesheim; Gunnar Brehm; Joachim Denzler (CoRR, 2023)

Gradient Statistics-Based Multi-Objective Optimization in Physics-Informed Neural Networks. - Sai Karthikeya Vemuri; Joachim Denzler (Sensors, 2023)

Estimating Soil Hydraulic Parameters for Unsaturated Flow Using Physics-Informed Neural Networks. - Sai Karthikeya Vemuri; Tim Büchner; Joachim Denzler (ICCS (3), 2024)

Robust Skin Color Driven Privacy-Preserving Face Recognition Via Function Secret Sharing. - Dong Han; Yufan Jiang; Yong Li 021; Ricardo Mendes; Joachim Denzler (ICIP, 2024)

Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. - Laines Schmalwasser; Jakob Gawlikowski; Joachim Denzler; Julia Niebling (ICPR (33), 2024)

Functional Tensor Decompositions for Physics-Informed Neural Networks. - Sai Karthikeya Vemuri; Tim Büchner; Julia Niebling; Joachim Denzler (ICPR (25), 2024)

The Power of Properties: Uncovering the Influential Factors in Emotion Classification. - Tim Büchner; Niklas Penzel; Orlando Guntinas-Lichius; Joachim Denzler (ICPRAI (2), 2024)

Data-Driven Prediction Of Large Infrastructure Movements Through Persistent Scatterer Time Series Modeling. - Gideon Stein; Jonas Ziemer; Carolin Wicker; Jannik Jänichen; Gabriele Demisch; Daniel Klöpper; Katja Last; Joachim Denzler; Christiane Schmullius; Maha Shadaydeh; Clémence Dubois (IGARSS, 2024)

Unsupervised Learning of Eye State Prototypes for Semantically Rich Blinking Detection. - Yuxuan Xie; Tim Büchner; Lukas Schuhmann; Orlando Guntinas-Lichius; Joachim Denzler (MIE, 2024)

Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry. - Ferdinand Rewicki; Jakob Gawlikowski; Julia Niebling; Joachim Denzler (ECML/PKDD (9), 2024)

Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain. - Dong Han; Yong Li 021; Joachim Denzler (VISIGRAPP (2): VISAPP, 2024)

Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change. - Niklas Penzel; Gideon Stein; Joachim Denzler (VISIGRAPP (2): VISAPP, 2024)

When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work out. - Tristan Piater; Niklas Penzel; Gideon Stein; Joachim Denzler (VISIGRAPP (2): VISAPP, 2024)

Deep Learning-based Group Causal Inference in Multivariate Time-series. - Wasim Ahmad; Maha Shadaydeh; Joachim Denzler (CoRR, 2024)

Embracing the black box: Heading towards foundation models for causal discovery from time series data. - Gideon Stein; Maha Shadaydeh; Joachim Denzler (CoRR, 2024)

KAN See Your Face. - Dong Han; Yong Li 021; Joachim Denzler (CoRR, 2024)

Determining the community composition of herbaceous species from images using convolutional neural networks. - Matthias Körschens; Solveig Franziska Bucher; Paul Bodesheim; Josephine Ulrich; Joachim Denzler; Christine Römermann (Ecol. Informatics, 2024)

JeFaPaTo - A joint toolbox for blinking analysis and facial features extraction. - Tim Büchner; Oliver Mothes; Orlando Guntinas-Lichius; Joachim Denzler (J. Open Source Softw., 2024)

JeFaPaTo - A joint toolbox for blinking analysis and facial features extraction. - Tim Büchner; Oliver Mothes; Orlando Guntinas-Lichius; Joachim Denzler (Zenodo, 2024)

Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis. - Tim Büchner; Christoph Anders 001; Orlando Guntinas-Lichius; Joachim Denzler (CVPR, 2025)

Diffusion-based Identity-Preserving Facial Privacy Protection. - Dong Han; Salaheldin Mohamed; Yong Li 021; Joachim Denzler (ICASSP, 2025)

CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series. - Gideon Stein; Maha Shadaydeh; Jan Blunk; Niklas Penzel; Joachim Denzler (ICLR, 2025)

Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models. - Aishwarya Venkataramanan; Paul Bodesheim; Joachim Denzler (UAI, 2025)

Towards unobtrusive sleep stage classification in preterm infants using machine learning. - Nathalie Demme; Maha Shadaydeh; Laura Schieder; Claus Doerfel; Stella Jähkel; Knut Holthoff; Hans Proquitté; Joachim Denzler; Jürgen Graf 004 (Biomed. Signal Process. Control., 2025)

Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data. - Ferdinand Rewicki; Joachim Denzler; Julia Niebling (CoRR, 2025)

Assessing 3D volumetric asymmetry in facial palsy patients via advanced multi-view landmarks and radial curves. - Tim Büchner; Sven Sickert; Gerd Fabian Volk; Orlando Guntinas-Lichius; Joachim Denzler (Mach. Vis. Appl., 2025)

Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients. - Niklas Penzel; Joachim Denzler (CoRR, 2025)

Gradient Extrapolation for Debiased Representation Learning. - Ihab Asaad; Maha Shadaydeh; Joachim Denzler (CoRR, 2025)

F-INR: Functional Tensor Decomposition for Implicit Neural Representations. - Sai Karthikeya Vemuri; Tim Büchner; Joachim Denzler (CoRR, 2025)

FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks. - Laines Schmalwasser; Niklas Penzel; Joachim Denzler; Julia Niebling (CoRR, 2025)

Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification. - Dimitri Korsch; Maha Shadaydeh; Joachim Denzler (Int. J. Comput. Vis., 2025)