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ORCIDJoachim Denzler
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- affiliation: Friedrich Schiller University Jena, Institute of Computer Science
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2020 – today
- 2021
[j31]Maha Shadaydeh
, Lea Müller, Dana Schneider, Martin Thümmel, Thomas Kessler, Joachim Denzler:
Analyzing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study. IEEE Access 9: 73780-73790 (2021)- [j30]Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Markus Reichstein, Joachim Denzler:
A Data-Driven Approach to Partitioning Net Ecosystem Exchange Using a Deep State Space Model. IEEE Access 9: 107873-107883 (2021) - [c197]Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, Joachim Denzler:
EarthNet2021: A Large-Scale Dataset and Challenge for Earth Surface Forecasting as a Guided Video Prediction Task. CVPR Workshops 2021: 1132-1142 - [c196]Christian Reimers, Niklas Penzel, Paul Bodesheim, Jakob Runge, Joachim Denzler:
Conditional Dependence Tests Reveal the Usage of ABCD Rule Features and Bias Variables in Automatic Skin Lesion Classification. CVPR Workshops 2021: 1810-1819 - [c195]Martin Thümmel, Sven Sickert, Joachim Denzler:
Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection. IWBF 2021: 1-6 - [c194]Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Lightweight Filtering of Noisy Web Data: Augmenting Fine-grained Datasets with Selected Internet Images. VISIGRAPP (5: VISAPP) 2021: 466-477 - [i57]Oana-Iuliana Popescu, Maha Shadaydeh, Joachim Denzler:
Counterfactual Generation with Knockoffs. CoRR abs/2102.00951 (2021) - [i56]Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler:
Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing. CoRR abs/2103.06179 (2021) - [i55]Christian Requena-Mesa, Vitus Benson, Markus Reichstein, Jakob Runge, Joachim Denzler:
EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task. CoRR abs/2104.10066 (2021) - [i54]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Self-Supervised Learning from Semantically Imprecise Data. CoRR abs/2104.10901 (2021) - [i53]Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler:
Automatic Plant Cover Estimation with Convolutional Neural Networks. CoRR abs/2106.11154 (2021) - [i52]Björn Barz, Joachim Denzler:
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. CoRR abs/2108.06959 (2021) - [i51]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. CoRR abs/2108.13122 (2021) - [i50]Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. CoRR abs/2109.06562 (2021) - [i49]Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. CoRR abs/2109.10817 (2021) - [i48]Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler:
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. CoRR abs/2109.13561 (2021) - 2020
- [j29]Björn Barz, Joachim Denzler:
Do We Train on Test Data? Purging CIFAR of Near-Duplicates. J. Imaging 6(6): 41 (2020) - [j28]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active and Incremental Learning with Weak Supervision. Künstliche Intell. 34(2): 165-180 (2020) - [j27]Marcel Simon, Erik Rodner, Trevor Darrell, Joachim Denzler:
The Whole Is More Than Its Parts? From Explicit to Implicit Pose Normalization. IEEE Trans. Pattern Anal. Mach. Intell. 42(3): 749-763 (2020) - [j26]Jhonatan Contreras, Sven Sickert, Joachim Denzler:
Region-Based Edge Convolutions With Geometric Attributes for the Semantic Segmentation of Large-Scale 3-D Point Clouds. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 13: 2598-2609 (2020) - [c193]Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Josephine Ulrich, Joachim Denzler:
Towards Confirmable Automated Plant Cover Determination. ECCV Workshops (6) 2020: 312-329 - [c192]Christian Reimers, Jakob Runge, Joachim Denzler:
Determining the Relevance of Features for Deep Neural Networks. ECCV (26) 2020: 330-346 - [c191]Björn Barz, Kai Schröter, Ann-Christin Kra, Joachim Denzler:
Finding Relevant Flood Images on Twitter Using Content-Based Filters. ICPR Workshops (6) 2020: 5-14 - [c190]Björn Barz, Joachim Denzler:
Content-Based Image Retrieval and the Semantic Gap in the Deep Learning Era. ICPR Workshops (2) 2020: 245-260 - [c189]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. ICPR 2020: 6866-6873 - [c188]Nils Gählert, Jun-Jun Wan, Nicolas Jourdan, Jan Finkbeiner, Uwe Franke, Joachim Denzler:
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometrically Constrained Keypoints in Real-Time. IV 2020: 437-444 - [c187]Anish Raj, Oliver Mothes, Sven Sickert, Gerd Fabian Volk, Orlando Guntinas-Lichius, Joachim Denzler:
Automatic and Objective Facial Palsy Grading Index Prediction Using Deep Feature Regression. MIUA 2020: 253-266 - [c186]Björn Barz, Joachim Denzler:
Deep Learning on Small Datasets without Pre-Training using Cosine Loss. WACV 2020: 1360-1369 - [i47]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active and Incremental Learning with Weak Supervision. CoRR abs/2001.07100 (2020) - [i46]Nils Gählert, Nicolas Jourdan, Marius Cordts, Uwe Franke, Joachim Denzler:
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection. CoRR abs/2006.07864 (2020) - [i45]Anko Börner, Heinz-Wilhelm Hübers, Odej Kao, Florian Schmidt, Sören Becker, Joachim Denzler, Daniel Matolin, David Haber, Sergio Lucia, Wojciech Samek, Rudolph Triebel, Sascha Eichstädt, Felix Bießmann, Anna M. Kruspe, Peter Jung, Manon Kok, Guillermo Gallego, Ralf Berger:
Sensor Artificial Intelligence and its Application to Space Systems - A White Paper. CoRR abs/2006.08368 (2020) - [i44]Nils Gählert, Niklas Hanselmann, Uwe Franke, Joachim Denzler:
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes. CoRR abs/2006.08547 (2020) - [i43]Nils Gählert, Jun-Jun Wan, Nicolas Jourdan, Jan Finkbeiner, Uwe Franke, Joachim Denzler:
Single-Shot 3D Detection of Vehicles from Monocular RGB Images via Geometry Constrained Keypoints in Real-Time. CoRR abs/2006.13084 (2020) - [i42]Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition. CoRR abs/2007.02080 (2020) - [i41]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. CoRR abs/2010.06469 (2020) - [i40]Björn Barz, Kai Schröter, Ann-Christin Kra, Joachim Denzler:
Finding Relevant Flood Images on Twitter using Content-based Filters. CoRR abs/2011.05756 (2020) - [i39]Björn Barz, Joachim Denzler:
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era. CoRR abs/2011.06490 (2020) - [i38]Christian Requena-Mesa, Vitus Benson, Joachim Denzler, Jakob Runge, Markus Reichstein:
EarthNet2021: A novel large-scale dataset and challenge for forecasting localized climate impacts. CoRR abs/2012.06246 (2020) - [i37]Maha Shadaydeh, Lea Müller, Dana Schneider, Martin Thümmel, Thomas Kessler, Joachim Denzler:
Analysing the Direction of Emotional Influence in Nonverbal Dyadic Communication: A Facial-Expression Study. CoRR abs/2012.08780 (2020)
2010 – 2019
- 2019
- [j25]Markus Reichstein, Gustau Camps-Valls, Bjorn Stevens, Martin Jung, Joachim Denzler, Nuno Carvalhais, Prabhat:
Deep learning and process understanding for data-driven Earth system science. Nat. 566(7743): 195-204 (2019) - [j24]Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler:
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 41(5): 1088-1101 (2019) - [c185]Clemens-Alexander Brust, Joachim Denzler:
Integrating Domain Knowledge: Using Hierarchies to Improve Deep Classifiers. ACPR (1) 2019: 3-16 - [c184]Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Classification-Specific Parts for Improving Fine-Grained Visual Categorization. GCPR 2019: 62-75 - [c183]Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler:
Predicting Landscapes from Environmental Conditions Using Generative Networks. GCPR 2019: 203-217 - [c182]Violeta Teodora Trifunov, Maha Shadaydeh, Jakob Runge, Veronika Eyring, Markus Reichstein, Joachim Denzler:
Nonlinear Causal Link Estimation Under Hidden Confounding with an Application to Time Series Anomaly Detection. GCPR 2019: 261-273 - [c181]Clemens-Alexander Brust, Joachim Denzler:
Not Just a Matter of Semantics: The Relationship Between Visual and Semantic Similarity. GCPR 2019: 414-427 - [c180]Maha Shadaydeh, Joachim Denzler, Yanira Guanche Garcia, Miguel D. Mahecha:
Time-Frequency Causal Inference Uncovers Anomalous Events in Environmental Systems. GCPR 2019: 499-512 - [c179]Matthias Körschens, Joachim Denzler:
ELPephants: A Fine-Grained Dataset for Elephant Re-Identification. ICCV Workshops 2019: 263-270 - [c178]Stefan Hoffmann, Clemens-Alexander Brust, Maha Shadaydeh, Joachim Denzler:
Registration of High Resolution Sar and Optical Satellite Imagery Using Fully Convolutional Networks. IGARSS 2019: 5152-5155 - [c177]Jhonatan Contreras, Joachim Denzler:
Edge-Convolution Point Net for Semantic Segmentation of Large-Scale Point Clouds. IGARSS 2019: 5236-5239 - [c176]Nils Gählert, Jun-Jun Wan, Michael Weber, J. Marius Zöllner, Uwe Franke, Joachim Denzler:
Beyond Bounding Boxes: Using Bounding Shapes for Real-Time 3D Vehicle Detection from Monocular RGB Images. IV 2019: 675-682 - [c175]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active Learning for Deep Object Detection. VISIGRAPP (5: VISAPP) 2019: 181-190 - [c174]Lea Müller, Maha Shadaydeh, Martin Thümmel, Thomas Kessler, Dana Schneider, Joachim Denzler:
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality. VISIGRAPP (5: VISAPP) 2019: 490-497 - [c173]Björn Barz, Joachim Denzler:
Hierarchy-Based Image Embeddings for Semantic Image Retrieval. WACV 2019: 638-647 - [i36]Björn Barz, Joachim Denzler:
Deep Learning on Small Datasets without Pre-Training using Cosine Loss. CoRR abs/1901.09054 (2019) - [i35]Björn Barz, Joachim Denzler:
Do we train on test data? Purging CIFAR of near-duplicates. CoRR abs/1902.00423 (2019) - [i34]Björn Barz, Kai Schröter, Moritz Münch, Bin Yang, Andrea Unger, Doris Dransch, Joachim Denzler:
Enhancing Flood Impact Analysis using Interactive Retrieval of Social Media Images. CoRR abs/1908.03361 (2019) - [i33]Oliver Mothes, Joachim Denzler:
Self-supervised Data Bootstrapping for Deep Optical Character Recognition of Identity Documents. CoRR abs/1908.04027 (2019) - [i32]Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Classification-Specific Parts for Improving Fine-Grained Visual Categorization. CoRR abs/1909.07075 (2019) - [i31]Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler:
Predicting Landscapes from Environmental Conditions Using Generative Networks. CoRR abs/1909.10296 (2019) - [i30]Martin Thümmel, Joachim Denzler:
Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection. CoRR abs/1910.06056 (2019) - [i29]Jonas Jäger, Gereon Reus, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth:
LOST: A flexible framework for semi-automatic image annotation. CoRR abs/1910.07486 (2019) - 2018
- [c172]Christoph Käding, Erik Rodner, Alexander Freytag, Oliver Mothes, Björn Barz, Joachim Denzler:
Active Learning for Regression Tasks with Expected Model Output Changes. BMVC 2018: 103 - [c171]Björn Barz, Christoph Käding, Joachim Denzler:
Information-Theoretic Active Learning for Content-Based Image Retrieval. GCPR 2018: 650-666 - [c170]Björn Barz, Thomas C. van Dijk, Bert Spaan, Joachim Denzler:
Putting User Reputation on the Map: Unsupervised Quality Control for Crowdsourced Historical Data. GeoHumanities@SIGSPATIAL 2018: 3:1-3:6 - [c169]Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler:
Predicting Landscapes as Seen from Space from Environmental Conditions. IGARSS 2018: 1768-1771 - [c168]Nils Gählert, Marina Mayer, Lukas Schneider, Uwe Franke, Joachim Denzler:
MB-Net: MergeBoxes for Real-Time 3D Vehicles Detection. Intelligent Vehicles Symposium 2018: 2117-2124 - [c167]Björn Barz, Joachim Denzler:
Automatic Query Image Disambiguation for Content-based Image Retrieval. VISIGRAPP (5: VISAPP) 2018: 249-256 - [i28]Björn Barz, Erik Rodner, Yanira Guanche Garcia, Joachim Denzler:
Detecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection. CoRR abs/1804.07091 (2018) - [i27]Björn Barz, Christoph Käding, Joachim Denzler:
Information-Theoretic Active Learning for Content-Based Image Retrieval. CoRR abs/1809.02337 (2018) - [i26]Clemens-Alexander Brust, Christoph Käding, Joachim Denzler:
Active Learning for Deep Object Detection. CoRR abs/1809.09875 (2018) - [i25]Björn Barz, Joachim Denzler:
Hierarchy-based Image Embeddings for Semantic Image Retrieval. CoRR abs/1809.09924 (2018) - [i24]Lea Müller, Maha Shadaydeh, Martin Thümmel, Thomas Kessler, Dana Schneider, Joachim Denzler:
Causal Inference in Nonverbal Dyadic Communication with Relevant Interval Selection and Granger Causality. CoRR abs/1810.12171 (2018) - [i23]Clemens-Alexander Brust, Joachim Denzler:
Not just a matter of semantics: the relationship between visual similarity and semantic similarity. CoRR abs/1811.07120 (2018) - [i22]Clemens-Alexander Brust, Joachim Denzler:
Integrating domain knowledge: using hierarchies to improve deep classifiers. CoRR abs/1811.07125 (2018) - [i21]Matthias Körschens, Björn Barz, Joachim Denzler:
Towards Automatic Identification of Elephants in the Wild. CoRR abs/1812.04418 (2018) - 2017
- [j23]Erik Rodner, Alexander Freytag, Paul Bodesheim, Björn Fröhlich, Joachim Denzler:
Large-Scale Gaussian Process Inference with Generalized Histogram Intersection Kernels for Visual Recognition Tasks. Int. J. Comput. Vis. 121(2): 253-280 (2017) - [j22]Zhijun Fang, Jenq-Neng Hwang, Xiaoming Huo, Hyo Jong Lee, Joachim Denzler:
Emergent Techniques and Applications for Big Visual Data. Int. J. Digit. Multim. Broadcast. 2017: 6468502:1-6468502:2 (2017) - [j21]Xiaoyan Jiang, Marcel Simon, Yuan Yang, Joachim Denzler:
Multi-marker tracking for large-scale X-ray stereo video data. Signal Process. Image Commun. 59: 140-149 (2017) - [c166]Sven Sickert, Joachim Denzler:
Semantic Segmentation of Outdoor Areas Using 3D Moment Invariants and Contextual Cues. GCPR 2017: 165-176 - [c165]Alexander Schultheiss, Christoph Käding, Alexander Freytag, Joachim Denzler:
Finding the Unknown: Novelty Detection with Extreme Value Signatures of Deep Neural Activations. GCPR 2017: 226-238 - [c164]Seyed Ali Amirshahi, Joachim Denzler:
Judging Aesthetic Quality in Paintings Based on Artistic Inspired Color Features. DICTA 2017: 1-8 - [c163]Cornelia Dittmar, Joachim Denzler, Horst-Michael Gross:
A Feedback Estimation Approach for Therapeutic Facial Training. FG 2017: 141-148 - [c162]Oliver Mothes, Joachim Denzler:
One-Shot Learned Priors in Augmented Active Appearance Models for Anatomical Landmark Tracking. VISIGRAPP (Revised Selected Papers) 2017: 85-104 - [c161]Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner:
Generalized Orderless Pooling Performs Implicit Salient Matching. ICCV 2017: 4970-4979 - [c160]Clemens-Alexander Brust, Tilo Burghardt, Milou Groenenberg, Christoph Käding, Hjalmar S. Kühl, Marie L. Manguette, Joachim Denzler:
Towards Automated Visual Monitoring of Individual Gorillas in the Wild. ICCV Workshops 2017: 2820-2830 - [c159]Ali Al-Raziqi, Joachim Denzler:
Unsupervised Group Activity Detection by Hierarchical Dirichlet Processes. ICIAR 2017: 399-407 - [c158]Thomas Wenzel, Ta-Wei Chou, Steffen Brüggert, Joachim Denzler:
From corners to rectangles - Directional road sign detection using learned corner representations. Intelligent Vehicles Symposium 2017: 1039-1044 - [c157]Thomas Wenzel, Steffen Brüggert, Joachim Denzler:
Towards unconstrained content recognition of additional traffic signs. Intelligent Vehicles Symposium 2017: 1421-1427 - [c156]Seyed Ali Amirshahi, Seyed Hossein Amirshahi, Joachim Denzler:
Using Color Difference Equations for Calculating Gradient Images. SITIS 2017: 275-282 - [c155]Oliver Mothes, Joachim Denzler:
Anatomical Landmark Tracking by One-shot Learned Priors for Augmented Active Appearance Models. VISIGRAPP (6: VISAPP) 2017: 246-254 - [i20]Marc Aubreville, Christian Knipfer, Nicolai Oetter, Christian Jaremenko, Erik Rodner, Joachim Denzler, Christopher Bohr, Helmut Neumann, Florian Stelzle, Andreas K. Maier:
Automatic Classification of Cancerous Tissue in Laserendomicroscopy Images of the Oral Cavity using Deep Learning. CoRR abs/1703.01622 (2017) - [i19]Björn Barz, Erik Rodner, Christoph Käding, Joachim Denzler:
Fast Learning and Prediction for Object Detection using Whitened CNN Features. CoRR abs/1704.02930 (2017) - [i18]Marcel Simon, Yang Gao, Trevor Darrell, Joachim Denzler, Erik Rodner:
Generalized orderless pooling performs implicit salient matching. CoRR abs/1705.00487 (2017) - [i17]Talha Qaiser, Abhik Mukherjee, Chaitanya Reddy Pb, Sai Dileep Munugoti, Vamsi Tallam, Tomi Pitkäaho, Taina Lehtimäki, Thomas Naughton, Matt Berseth, Aníbal Pedraza, Ramakrishnan Mukundan, Matthew Smith, Abhir Bhalerao, Erik Rodner, Marcel Simon, Joachim Denzler, Chao-Hui Huang, Gloria Bueno, David R. J. Snead, Ian O. Ellis, Mohammad Ilyas, Nasir M. Rajpoot:
Her2 Challenge Contest: A Detailed Assessment of Automated Her2 Scoring Algorithms in Whole Slide Images of Breast Cancer Tissues. CoRR abs/1705.08369 (2017) - [i16]Björn Barz, Joachim Denzler:
Automatic Query Image Disambiguation for Content-Based Image Retrieval. CoRR abs/1711.00953 (2017) - 2016
- [c154]Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler:
Fine-Tuning Deep Neural Networks in Continuous Learning Scenarios. ACCV Workshops (3) 2016: 588-605 - [c153]Yerania Campos, Erik Rodner, Joachim Denzler, Humberto Sossa, Gonzalo Pajares:
Vegetation Segmentation in Cornfield Images Using Bag of Words. ACIVS 2016: 193-204 - [c152]Manuel Amthor, Erik Rodner, Joachim Denzler:
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. BMVC 2016 - [c151]Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler:
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. BMVC 2016 - [c150]Jonas Jäger, Erik Rodner, Joachim Denzler, Viviane Wolff, Klaus Fricke-Neuderth:
SeaCLEF 2016: Object Proposal Classification for Fish Detection in Underwater Videos. CLEF (Working Notes) 2016: 481-489 - [c149]Alexander Freytag, Erik Rodner, Marcel Simon, Alexander Loos, Hjalmar S. Kühl, Joachim Denzler:
Chimpanzee Faces in the Wild: Log-Euclidean CNNs for Predicting Identities and Attributes of Primates. GCPR 2016: 51-63 - [c148]Christoph Käding, Alexander Freytag, Erik Rodner, Andrea Perino, Joachim Denzler:
Large-Scale Active Learning with Approximations of Expected Model Output Changes. GCPR 2016: 179-191 - [c147]Joachim Denzler, Erik Rodner, Marcel Simon:
Convolutional Neural Networks as a Computational Model for the Underlying Processes of Aesthetics Perception. ECCV Workshops (1) 2016: 871-887 - [c146]Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler:
Watch, Ask, Learn, and Improve: a lifelong learning cycle for visual recognition. ESANN 2016 - [c145]Thomas Wenzel, Steffen Brüggert, Joachim Denzler:
Additional traffic sign detection using learned corner representations. Intelligent Vehicles Symposium 2016: 316-321 - [c144]Luise Modersohn, Joachim Denzler:
Facial Paresis Index Prediction by Exploiting Active Appearance Models for Compact Discriminative Features. VISIGRAPP (4: VISAPP) 2016: 271-278 - [c143]Ali Al-Raziqi, Joachim Denzler:
Unsupervised Framework for Interactions Modeling between Multiple Objects. VISIGRAPP (4: VISAPP) 2016: 509-516 - [i15]Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler:
Neither Quick Nor Proper - Evaluation of QuickProp for Learning Deep Neural Networks. CoRR abs/1606.04333 (2016) - [i14]Seyed Ali Amirshahi, Gregor Uwe Hayn-Leichsenring, Joachim Denzler, Christoph Redies:
Color: A Crucial Factor for Aesthetic Quality Assessment in a Subjective Dataset of Paintings. CoRR abs/1609.05583 (2016) - [i13]Manuel Amthor, Erik Rodner, Joachim Denzler:
Impatient DNNs - Deep Neural Networks with Dynamic Time Budgets. CoRR abs/1610.02850 (2016) - [i12]Erik Rodner, Marcel Simon, Robert B. Fisher, Joachim Denzler:
Fine-grained Recognition in the Noisy Wild: Sensitivity Analysis of Convolutional Neural Networks Approaches. CoRR abs/1610.06756 (2016) - [i11]Erik Rodner, Björn Barz, Yanira Guanche, Milan Flach, Miguel D. Mahecha, Paul Bodesheim, Markus Reichstein, Joachim Denzler:
Maximally Divergent Intervals for Anomaly Detection. CoRR abs/1610.06761 (2016) - [i10]Marcel Simon, Erik Rodner, Joachim Denzler:
ImageNet pre-trained models with batch normalization. CoRR abs/1612.01452 (2016) - [i9]Christoph Käding, Erik Rodner, Alexander Freytag, Joachim Denzler:
Active and Continuous Exploration with Deep Neural Networks and Expected Model Output Changes. CoRR abs/1612.06129 (2016) - 2015
- [c142]Christoph Käding, Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Active learning and discovery of object categories in the presence of unnameable instances. CVPR 2015: 4343-4352 - [c141]Manuel Amthor, Bernd Hartmann, Joachim Denzler:
Road Condition Estimation Based on Spatio-Temporal Reflection Models. GCPR 2015: 3-15 - [c140]Alexander Freytag, Alena Schadt, Joachim Denzler:
Interactive Image Retrieval for Biodiversity Research. GCPR 2015: 129-141 - [c139]Thomas Wenzel, Steffen Brüggert, Joachim Denzler:
Additional Traffic Sign Detection - A Comparative Study. ITSC 2015: 794-799 - [c138]Marcel Simon, Erik Rodner, Joachim Denzler:
Fine-grained classification of identity document types with only one example. MVA 2015: 126-129 - [c137]Johannes Rühle, Erik Rodner, Joachim Denzler:
Beyond thinking in common categories: Predicting obstacle vulnerability using large random codebooks. MVA 2015: 198-201 - [c136]Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler:
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. VISAPP (2) 2015: 510-517 - [c135]Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler:
Local Novelty Detection in Multi-class Recognition Problems. WACV 2015: 813-820 - [i8]Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler:
Convolutional Patch Networks with Spatial Prior for Road Detection and Urban Scene Understanding. CoRR abs/1502.06344 (2015) - [i7]Erik Rodner, Marcel Simon, Gunnar Brehm, Stephanie Pietsch, Johann-Wolfgang Wägele, Joachim Denzler:
Fine-grained Recognition Datasets for Biodiversity Analysis. CoRR abs/1507.00913 (