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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
- 2023
[c225]Tim Büchner
, Orlando Guntinas-Lichius, Joachim Denzler:
Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs. ACIVS 2023: 262-274- [c224]Tim Büchner, Sven Sickert, Gerd Fabian Volk, Orlando Guntinas-Lichius, Joachim Denzler:
From Faces to Volumes - Measuring Volumetric Asymmetry in 3D Facial Palsy Scans. ISVC (1) 2023: 121-132 - [c223]Tim Büchner, Sven Sickert, Roland Grassme, Christoph Anders, Orlando Guntinas-Lichius, Joachim Denzler:
Using 2D and 3D Face Representations to Generate Comprehensive Facial Electromyography Intensity Maps. ISVC (2) 2023: 136-147 - [c222]Niklas Penzel, Joachim Denzler:
Interpreting Art by Leveraging Pre-Trained Models. MVA 2023: 1-6 - [c221]Tim Büchner, Sven Sickert, Gerd Fabian Volk, Christoph Anders, Orlando Guntinas-Lichius, Joachim Denzler:
Let's Get the FACS Straight: Reconstructing Obstructed Facial Features. VISIGRAPP (4: VISAPP) 2023: 727-736 - [i67]Matthias Körschens, Solveig Franziska Bucher, Christine Römermann, Joachim Denzler:
Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping. CoRR abs/2307.08559 (2023) - [i66]Dimitri Korsch, Maha Shadaydeh, Joachim Denzler:
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification. CoRR abs/2307.14825 (2023) - [i65]Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification. CoRR abs/2307.15427 (2023) - [i64]Dimitri Korsch, Paul Bodesheim, Gunnar Brehm, Joachim Denzler:
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps. CoRR abs/2307.15433 (2023) - [i63]Tim Büchner, Sven Sickert, Gerd Fabian Volk, Christoph Anders, Orlando Guntinas-Lichius, Joachim Denzler:
Let's Get the FACS Straight - Reconstructing Obstructed Facial Features. CoRR abs/2311.05221 (2023) - 2022
- [j33]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Image Classification With Small Datasets: Overview and Benchmark. IEEE Access 10: 49233-49250 (2022) - [j32]Sven Festag, Joachim Denzler, Cord Spreckelsen:
Generative adversarial networks for biomedical time series forecasting and imputation. J. Biomed. Informatics 129: 104058 (2022) - [c220]Sven Festag, Gideon Stein, Tim Büchner, Maha Shadaydeh, Joachim Denzler, Cord Spreckelsen:
Outcome Prediction and Murmur Detection in Sets of Phonocardiograms by a Deep Learning-Based Ensemble Approach. CinC 2022: 1-4 - [c219]Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler:
Investigating Neural Network Training on a Feature Level Using Conditional Independence. ECCV Workshops (6) 2022: 383-399 - [c218]Matthias Körschens, Paul Bodesheim, Joachim Denzler:
Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout. ICPR 2022: 2829-2835 - [c217]Christoph Theiß, Joachim Denzler:
Towards a Unified Benchmark for Monocular Radial Distortion Correction and the Importance of Testing on Real-World Data. ICPRAI (1) 2022: 59-71 - [c216]Tim Büchner, Sven Sickert, Gerd Fabian Volk, Orlando Guntinas-Lichius, Joachim Denzler:
Automatic Objective Severity Grading of Peripheral Facial Palsy Using 3D Radial Curves Extracted from Point Clouds. MIE 2022: 179-183 - [c215]Felix Schneider, Sven Sickert, Phillip Brandes, Sophie Marshall, Joachim Denzler:
Metaphor Detection for Low Resource Languages: From Zero-Shot to Few-Shot Learning in Middle High German. MWE@LREC2022 2022: 75-80 - [c214]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Self-supervised Learning from Semantically Imprecise Data. VISIGRAPP (5: VISAPP) 2022: 27-35 - [c213]Matthias Körschens, Paul Bodesheim, Joachim Denzler:
Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization. VISIGRAPP (4: VISAPP) 2022: 180-191 - [c212]Björn Barz, Joachim Denzler:
Weakly-supervised Localization of Multiple Objects in Images using Cosine Loss. VISIGRAPP (5: VISAPP) 2022: 287-296 - [i62]Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Discovery using Model Invariance through Knockoff Interventions. CoRR abs/2207.04055 (2022) - [i61]Violeta Teodora Trifunov, Maha Shadaydeh, Joachim Denzler:
Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding. CoRR abs/2209.11497 (2022) - [i60]Ferdinand Rewicki, Joachim Denzler, Julia Niebling:
Is it worth it? An experimental comparison of six deep- and classical machine learning methods for unsupervised anomaly detection in time series. CoRR abs/2212.11080 (2022) - [i59]Lorenzo Brigato, B. Barz, Luca Iocchi, Joachim Denzler:
Image Classification with Small Datasets: Overview and Benchmark. CoRR abs/2212.12478 (2022) - 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) - [c211]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 - [c210]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 - [c209]Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler:
Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data. GCPR 2021: 48-62 - [c208]Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition. GCPR 2021: 142-158 - [c207]Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler:
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning. GCPR 2021: 159-173 - [c206]Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler:
Weakly Supervised Segmentation Pretraining for Plant Cover Prediction. GCPR 2021: 589-603 - [c205]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance. GI-Jahrestagung 2021: 417-423 - [c204]Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification. GI-Jahrestagung 2021: 443-460 - [c203]Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler:
Exploiting Web Images for Moth Species Classification. GI-Jahrestagung 2021: 481-498 - [c202]Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler:
Automatic Plant Cover Estimation with Convolutional Neural Networks. GI-Jahrestagung 2021: 499-516 - [c201]Daphne Auer, Paul Bodesheim, Christian Fiderer, Marco Heurich, Joachim Denzler:
Minimizing the Annotation Effort for Detecting Wildlife in Camera Trap Images with Active Learning. GI-Jahrestagung 2021: 547-564 - [c200]Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler:
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. ICCVW 2021: 1071-1080 - [c199]Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. ICMLA 2021: 166-172 - [c198]Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. ICMLA 2021: 449-454 - [c197]Martin Thümmel, Sven Sickert, Joachim Denzler:
Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection. IWBF 2021: 1-6 - [c196]Felix Schneider, Björn Barz, Joachim Denzler:
Detecting Scenes in Fiction Using the Embedding Delta Signal. STSS@KONVENS 2021: 22-28 - [c195]Björn Barz, Joachim Denzler:
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. NeurIPS Datasets and Benchmarks 2021 - [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 - [i58]Oana-Iuliana Popescu, Maha Shadaydeh, Joachim Denzler:
Counterfactual Generation with Knockoffs. CoRR abs/2102.00951 (2021) - [i57]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) - [i56]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) - [i55]Clemens-Alexander Brust, Björn Barz, Joachim Denzler:
Self-Supervised Learning from Semantically Imprecise Data. CoRR abs/2104.10901 (2021) - [i54]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) - [i53]Björn Barz, Joachim Denzler:
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. CoRR abs/2108.06959 (2021) - [i52]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) - [i51]Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler:
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. CoRR abs/2109.06562 (2021) - [i50]Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. CoRR abs/2109.10817 (2021) - [i49]Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler:
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. CoRR abs/2109.13561 (2021) - [i48]Bernd Gruner, Matthias Körschens, Björn Barz, Joachim Denzler:
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity. CoRR abs/2110.11778 (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, Soeren 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]