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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
- 2025
[j38]Nathalie Demme, Maha Shadaydeh, Laura Schieder, Claus Doerfel, Stella Jähkel, Knut Holthoff, Hans Proquitté, Joachim Denzler, Jürgen Graf:
Towards unobtrusive sleep stage classification in preterm infants using machine learning. Biomed. Signal Process. Control. 108: 107904 (2025)- [j37]Tim Büchner, Sven Sickert, Gerd Fabian Volk, Orlando Guntinas-Lichius, Joachim Denzler:
Assessing 3D volumetric asymmetry in facial palsy patients via advanced multi-view landmarks and radial curves. Mach. Vis. Appl. 36(1): 1 (2025) - [c243]Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler:
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series. ICLR 2025 - [i88]Ferdinand Rewicki, Joachim Denzler, Julia Niebling:
Anomalous Agreement: How to find the Ideal Number of Anomaly Classes in Correlated, Multivariate Time Series Data. CoRR abs/2501.07172 (2025) - [i87]Niklas Penzel, Joachim Denzler:
Towards Locally Explaining Prediction Behavior via Gradual Interventions and Measuring Property Gradients. CoRR abs/2503.05424 (2025) - [i86]Tim Büchner, Christoph Anders, Orlando Guntinas-Lichius, Joachim Denzler:
Electromyography-Informed Facial Expression Reconstruction for Physiological-Based Synthesis and Analysis. CoRR abs/2503.09556 (2025) - [i85]Ihab Asaad, Maha Shadaydeh, Joachim Denzler:
Gradient Extrapolation for Debiased Representation Learning. CoRR abs/2503.13236 (2025) - [i84]Gideon Stein, Maha Shadaydeh, Jan Blunk, Niklas Penzel, Joachim Denzler:
CausalRivers - Scaling up benchmarking of causal discovery for real-world time-series. CoRR abs/2503.17452 (2025) - [i83]Sai Karthikeya Vemuri, Tim Büchner, Joachim Denzler:
F-INR: Functional Tensor Decomposition for Implicit Neural Representations. CoRR abs/2503.21507 (2025) - [i82]Aishwarya Venkataramanan, Paul Bodesheim, Joachim Denzler:
Probabilistic Embeddings for Frozen Vision-Language Models: Uncertainty Quantification with Gaussian Process Latent Variable Models. CoRR abs/2505.05163 (2025) - [i81]Laines Schmalwasser, Niklas Penzel, Joachim Denzler, Julia Niebling:
FastCAV: Efficient Computation of Concept Activation Vectors for Explaining Deep Neural Networks. CoRR abs/2505.17883 (2025) - 2024
- [j36]Matthias Körschens, Solveig Franziska Bucher, Paul Bodesheim, Josephine Ulrich, Joachim Denzler, Christine Römermann:
Determining the community composition of herbaceous species from images using convolutional neural networks. Ecol. Informatics 80: 102516 (2024) - [j35]Tim Büchner
, Oliver Mothes, Orlando Guntinas-Lichius, Joachim Denzler:
JeFaPaTo - A joint toolbox for blinking analysis and facial features extraction. J. Open Source Softw. 9(97): 6425 (2024) - [c242]Sai Karthikeya Vemuri, Tim Büchner, Joachim Denzler:
Estimating Soil Hydraulic Parameters for Unsaturated Flow Using Physics-Informed Neural Networks. ICCS (3) 2024: 338-351 - [c241]Dong Han, Yufan Jiang, Yong Li, Ricardo Mendes, Joachim Denzler:
Robust Skin Color Driven Privacy-Preserving Face Recognition Via Function Secret Sharing. ICIP 2024: 3965-3971 - [c240]Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler:
Functional Tensor Decompositions for Physics-Informed Neural Networks. ICPR (25) 2024: 32-46 - [c239]Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling:
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. ICPR (33) 2024: 109-125 - [c238]Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler:
The Power of Properties: Uncovering the Influential Factors in Emotion Classification. ICPRAI (2) 2024: 440-448 - [c237]Gideon Stein, Jonas Ziemer, Carolin Wicker, Jannik Jänichen, Gabriele Demisch, Daniel Klöpper, Katja Last, Joachim Denzler, Christiane Schmullius, Maha Shadaydeh, Clémence Dubois:
Data-Driven Prediction Of Large Infrastructure Movements Through Persistent Scatterer Time Series Modeling. IGARSS 2024: 8669-8673 - [c236]Yuxuan Xie, Tim Büchner, Lukas Schuhmann, Orlando Guntinas-Lichius, Joachim Denzler:
Unsupervised Learning of Eye State Prototypes for Semantically Rich Blinking Detection. MIE 2024: 1607-1611 - [c235]Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler:
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry. ECML/PKDD (9) 2024: 207-222 - [c234]Niklas Penzel, Gideon Stein, Joachim Denzler:
Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change. VISIGRAPP (2): VISAPP 2024: 90-101 - [c233]Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler:
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work out. VISIGRAPP (2): VISAPP 2024: 149-158 - [c232]Dong Han, Yong Li, Joachim Denzler:
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain. VISIGRAPP (2): VISAPP 2024: 536-546 - [d2]Tim Büchner, Oliver Mothes, Orlando Guntinas-Lichius, Joachim Denzler:
JeFaPaTo - A joint toolbox for blinking analysis and facial features extraction. Zenodo, 2024
- [i80]Wasim Ahmad, Maha Shadaydeh, Joachim Denzler:
Deep Learning-based Group Causal Inference in Multivariate Time-series. CoRR abs/2401.08386 (2024) - [i79]Dong Han, Yong Li, Joachim Denzler:
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain. CoRR abs/2401.13386 (2024) - [i78]Tim Büchner, Oliver Mothes, Orlando Guntinas-Lichius, Joachim Denzler:
JeFaPaTo - A joint toolbox for blinking analysis and facial features extraction. CoRR abs/2402.08439 (2024) - [i77]Gideon Stein, Maha Shadaydeh, Joachim Denzler:
Embracing the black box: Heading towards foundation models for causal discovery from time series data. CoRR abs/2402.09305 (2024) - [i76]Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler:
The Power of Properties: Uncovering the Influential Factors in Emotion Classification. CoRR abs/2404.07867 (2024) - [i75]Niklas Penzel, Gideon Stein, Joachim Denzler:
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change. CoRR abs/2404.12292 (2024) - [i74]Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler:
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out. CoRR abs/2404.12295 (2024) - [i73]Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler:
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry. CoRR abs/2406.09825 (2024) - [i72]Dong Han, Yufan Jiang, Yong Li, Ricardo Mendes, Joachim Denzler:
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing. CoRR abs/2407.05045 (2024) - [i71]Sai Karthikeya Vemuri, Tim Büchner, Julia Niebling, Joachim Denzler:
Functional Tensor Decompositions for Physics-Informed Neural Networks. CoRR abs/2408.13101 (2024) - [i70]Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler:
Facing Asymmetry - Uncovering the Causal Link between Facial Symmetry and Expression Classifiers using Synthetic Interventions. CoRR abs/2409.15927 (2024) - [i69]Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling:
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. CoRR abs/2410.17832 (2024) - [i68]Dong Han, Yong Li, Joachim Denzler:
KAN See Your Face. CoRR abs/2411.18165 (2024) - 2023
- [j34]Sai Karthikeya Vemuri, Joachim Denzler:
Gradient Statistics-Based Multi-Objective Optimization in Physics-Informed Neural Networks. Sensors 23(21): 8665 (2023) - [c231]Tim Büchner, Orlando Guntinas-Lichius, Joachim Denzler:
Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs. ACIVS 2023: 262-274 - [c230]Matthias Körschens, Solveig Franziska Bucher, Christine Römermann, Joachim Denzler:
Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping. DAGM 2023: 321-334 - [c229]Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler:
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization. DAGM 2023: 394-408 - [c228]Dimitri Korsch, Maha Shadaydeh, Joachim Denzler:
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-Grained Classification. DAGM 2023: 409-424 - [c227]Niklas Penzel, Jana Kierdorf, Ribana Roscher, Joachim Denzler:
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances. ICCV (Workshops) 2023: 572-581 - [c226]Matthias Körschens, Solveig Franziska Bucher, Christine Römermann, Joachim Denzler:
Unified Automatic Plant Cover and Phenology Prediction. ICCV (Workshops) 2023: 685-693 - [c225]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 - [c224]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 - [c223]Niklas Penzel, Joachim Denzler:
Interpreting Art by Leveraging Pre-Trained Models. MVA 2023: 1-6 - [c222]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) - [c221]Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler:
Facing Asymmetry - Uncovering the Causal Link Between Facial Symmetry and Expression Classifiers Using Synthetic Interventions. ACCV (4) 2022: 443-464 - [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, Björn 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 - [d1]Björn Barz, Joachim Denzler:
WikiChurches - A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. Zenodo, 2021 - [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]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 J. 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 (2015) - 2014
- [j20]Marcel Brückner, Ferid Bajramovic, Joachim Denzler:
Intrinsic and extrinsic active self-calibration of multi-camera systems. Mach. Vis. Appl. 25(2): 389-403 (2014) - [c134]Marcel Simon, Erik Rodner, Joachim Denzler:
Part Detector Discovery in Deep Convolutional Neural Networks. ACCV (2) 2014: 162-177 - [c133]Daniel Haase, Erik Rodner, Joachim Denzler:
Instance-Weighted Transfer Learning of Active Appearance Models. CVPR 2014: 1426-1433 - [c132]Christoph Göring, Erik Rodner, Alexander Freytag, Joachim Denzler:
Nonparametric Part Transfer for Fine-Grained Recognition. CVPR 2014: 2489-2496 - [c131]Mahesh Venkata Krishna, Joachim Denzler:
A Hierarchical Bayesian Approach for Unsupervised Cell Phenotype Clustering. GCPR 2014: 69-80 - [c130]Alexander Freytag, Erik Rodner, Trevor Darrell, Joachim Denzler:
Exemplar-Specific Patch Features for Fine-Grained Recognition. GCPR 2014: 144-156 - [c129]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, Matthias Müller-Hannemann, Martin Winter, Wolf Zimmermann:
Explorative Analysis of Heterogeneous, Unstructured, and Uncertain Data - A Computer Science Perspective on Biodiversity Research. DATA 2014: 251-257 - [c128]Seyed Ali Amirshahi, Gregor Uwe Hayn-Leichsenring, Joachim Denzler, Christoph Redies:
JenAesthetics Subjective Dataset: Analyzing Paintings by Subjective Scores. ECCV Workshops (1) 2014: 3-19 - [c127]Alexander Freytag, Erik Rodner, Joachim Denzler:
Selecting Influential Examples: Active Learning with Expected Model Output Changes. ECCV (4) 2014: 562-577 - [c126]Herbert Süße, Wolfgang Ortmann, Janin Lautenschläger, Christian Lautenschläger, Marco Körner, Julian Grosskreutz, Joachim Denzler:
Quantitative Analysis of Pathological Mitochondrial Morphology in Neuronal Cells in Confocal Laser Scanning Microscopy Images. IWBBIO 2014: 1290-1301 - [c125]Marco Körner, Mahesh Venkata Krishna, Herbert Süße, Wolfgang Ortmann, Joachim Denzler:
Regularized Geometric Hulls for Nucleus Segmentation from Microscopy Images. MIUA 2014: 117-122 - [c124]Xiaoyan Jiang, Marco Körner, Daniel Haase, Joachim Denzler:
A Graph-based MAP Solution for Multi-person Tracking using Multi-camera Systems. VISAPP (3) 2014: 343-350 - [c123]Manuel Amthor, Daniel Haase, Joachim Denzler:
Robust Pictorial Structures for X-ray Animal Skeleton Tracking. VISAPP (3) 2014: 351-359 - [c122]Mahesh Venkata Krishna, Joachim Denzler:
A combination of generative and discriminative models for fast unsupervised activity recognition from traffic scene videos. WACV 2014: 640-645 - [i6]Björn Barz, Erik Rodner, Joachim Denzler:
ARTOS - Adaptive Real-Time Object Detection System. CoRR abs/1407.2721 (2014) - [i5]Alexander Freytag, Johannes Rühle, Paul Bodesheim, Erik Rodner, Joachim Denzler:
Seeing through bag-of-visual-word glasses: towards understanding quantization effects in feature extraction methods. CoRR abs/1408.4692 (2014) - [i4]Marcel Simon, Erik Rodner, Joachim Denzler:
Part Detector Discovery in Deep Convolutional Neural Networks. CoRR abs/1411.3159 (2014) - 2013
- [j19]Daniel Haase, Joachim Denzler:
2D and 3D analysis of animal locomotion from biplanar X-ray videos using augmented active appearance models. EURASIP J. Image Video Process. 2013: 45 (2013) - [j18]Björn Fröhlich, Erik Rodner, Michael Kemmler, Joachim Denzler:
Large-scale gaussian process multi-class classification for semantic segmentation and facade recognition. Mach. Vis. Appl. 24(5): 1043-1053 (2013) - [j17]Michael Kemmler, Erik Rodner, Esther-Sabrina Wacker, Joachim Denzler:
One-class classification with Gaussian processes. Pattern Recognit. 46(12): 3507-3518 (2013) - [j16]Esther-Sabrina Wacker, Joachim Denzler:
Enhanced anomaly detection in wire ropes by combining structure and appearance. Pattern Recognit. Lett. 34(8): 942-953 (2013) - [c121]Seyed Ali Amirshahi, Christoph Redies, Joachim Denzler:
How Self-Similar are Artworks at Different Levels of Spatial Resolution?. CAe@Expressive 2013: 93-100 - [c120]Xiaoyan Jiang, Daniel Haase, Marco Körner, Wolfgang Bothe, Joachim Denzler:
Accurate 3D Multi-marker Tracking in X-ray Cardiac Sequences Using a Two-Stage Graph Modeling Approach. CAIP (2) 2013: 117-125 - [c119]Marco Körner, Joachim Denzler:
Temporal Self-Similarity for Appearance-Based Action Recognition in Multi-View Setups. CAIP (1) 2013: 163-171 - [c118]Paul Bodesheim, Alexander Freytag, Erik Rodner, Michael Kemmler, Joachim Denzler:
Kernel Null Space Methods for Novelty Detection. CVPR 2013: 3374-3381 - [c117]Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Labeling Examples That Matter: Relevance-Based Active Learning with Gaussian Processes. GCPR 2013: 282-291 - [c116]Mahesh Venkata Krishna, Marco Körner, Joachim Denzler:
Hierarchical Dirichlet Processes for unsupervised online multi-view action perception using Temporal Self-Similarity features. ICDSC 2013: 1-6 - [c115]Marco Körner, Joachim Denzler:
JAR-Aibo: A Multi-view Dataset for Evaluation of Model-Free Action Recognition Systems. ICIAP Workshops 2013: 527-535 - [c114]Daniel Haase, Michael Kemmler, Orlando Guntinas-Lichius, Joachim Denzler:
Efficient Measuring of Facial Action Unit Activation Intensities using Active Appearance Models. MVA 2013: 141-144 - [c113]Paul Bodesheim, Alexander Freytag, Erik Rodner, Joachim Denzler:
Approximations of Gaussian Process Uncertainties for Visual Recognition Problems. SCIA 2013: 182-194 - [c112]Cornelia Lanz, Birant Sibel Olgay, Joachim Denzler, Horst-Michael Gross:
Facial Landmark Localization and Feature Extraction for Therapeutic Face Exercise Classification. VISIGRAPP (Selected Papers) 2013: 179-194 - [c111]Cornelia Lanz, Birant Sibel Olgay, Joachim Denzler, Horst-Michael Gross:
Automated Classification of Therapeutic Face Exercises using the Kinect. VISAPP (1) 2013: 556-565 - [i3]Christoph Göring, Alexander Freytag, Erik Rodner, Joachim Denzler:
Fine-grained Categorization - Short Summary of our Entry for the ImageNet Challenge 2012. CoRR abs/1310.4759 (2013) - 2012
- [j15]Ferid Bajramovic, Marcel Brückner, Joachim Denzler:
An Efficient Shortest Triangle Paths Algorithm Applied to Multi-camera Self-calibration. J. Math. Imaging Vis. 43(2): 89-102 (2012) - [j14]Olaf Kähler, Joachim Denzler:
Tracking and Reconstruction in a Combined Optimization Approach. IEEE Trans. Pattern Anal. Mach. Intell. 34(2): 387-401 (2012) - [c110]Björn Fröhlich, Erik Rodner, Joachim Denzler:
Semantic Segmentation with Millions of Features: Integrating Multiple Cues in a Combined Random Forest Approach. ACCV (1) 2012: 218-231 - [c109]Alexander Freytag, Erik Rodner, Paul Bodesheim, Joachim Denzler:
Rapid Uncertainty Computation with Gaussian Processes and Histogram Intersection Kernels. ACCV (2) 2012: 511-524 - [c108]Marco Körner, Joachim Denzler:
Analyzing the Subspaces Obtained by Dimensionality Reduction for Human Action Recognition from 3d Data. AVSS 2012: 130-135 - [c107]Paul Bodesheim, Erik Rodner, Alexander Freytag, Joachim Denzler:
Divergence-Based One-Class Classification Using Gaussian Processes. BMVC 2012: 1-11 - [c106]Björn Fröhlich, Erik Rodner, Joachim Denzler:
As Time Goes by - Anytime Semantic Segmentation with Iterative Context Forests. DAGM/OAGM Symposium 2012: 1-10 - [c105]Erik Rodner, Alexander Freytag, Paul Bodesheim, Joachim Denzler:
Large-Scale Gaussian Process Classification with Flexible Adaptive Histogram Kernels. ECCV (4) 2012: 85-98 - [c104]Christoph Redies, Seyed Ali Amirshahi, Michael Koch, Joachim Denzler:
PHOG-Derived Aesthetic Measures Applied to Color Photographs of Artworks, Natural Scenes and Objects. ECCV Workshops (1) 2012: 522-531 - [c103]Seyed Ali Amirshahi, Michael Koch, Joachim Denzler, Christoph Redies:
PHOG analysis of self-similarity in aesthetic images. Human Vision and Electronic Imaging 2012: 82911J - [c102]Xiaoyan Jiang, Erik Rodner, Joachim Denzler:
Multi-person Tracking-by-Detection Based on Calibrated Multi-camera Systems. ICCVG 2012: 743-751 - [c101]Michael Bredereck, Xiaoyan Jiang, Marco Körner, Joachim Denzler:
Data association for multi-object Tracking-by-Detection in multi-camera networks. ICDSC 2012: 1-6 - [c100]Michael Kemmler, Joachim Denzler:
Finding discriminative features for Raman spectroscopy. ICPR 2012: 1823-1826 - [c99]Alexander Freytag, Björn Fröhlich, Erik Rodner, Joachim Denzler:
Efficient semantic segmentation with Gaussian processes and histogram intersection kernels. ICPR 2012: 3313-3316 - [c98]Marco Körner, Daniel Haase, Joachim Denzler:
Scale-independent Spatio-temporal Statistical Shape Representations for 3D Human Action Recognition. ICPRAM (1) 2012: 288-294 - [c97]Christoph Göring, Björn Fröhlich, Joachim Denzler:
Semantic Segmentation using GrabCut. VISAPP (1) 2012: 597-602 - [c96]Manuel Amthor, Daniel Haase, Joachim Denzler:
Fast and Robust Landmark Tracking in X-ray Locomotion Sequences Containing Severe Occlusions. VMV 2012: 15-22 - 2011
- [j13]Erik Rodner, Joachim Denzler:
Learning with few examples for binary and multiclass classification using regularization of randomized trees. Pattern Recognit. Lett. 32(2): 244-251 (2011) - [c95]Esther-Sabrina Wacker, Joachim Denzler:
Combining Structure and Appearance for Anomaly Detection in Wire Ropes. CAIP (2) 2011: 163-170 - [c94]Daniel Haase, John A. Nyakatura, Joachim Denzler:
Multi-view Active Appearance Models for the X-Ray Based Analysis of Avian Bipedal Locomotion. DAGM-Symposium 2011: 11-20 - [c93]Marcel Brückner, Joachim Denzler:
Exploiting the Manhattan-world assumption for extrinsic self-calibration of multi-modal sensor networks. ICCV 2011: 945-950 - [c92]Erik Rodner, Esther-Sabrina Wacker, Michael Kemmler, Joachim Denzler:
One-Class Classification for Anomaly Detection in Wire Ropes with Gaussian Processes in a Few Lines of Code. MVA 2011: 219-222 - [c91]Marco Körner, Herbert Süße, Wolfgang Ortmann, Joachim Denzler:
A Method for Fast Composing of Images Captured from Deformed Documents by a Quadocular Scanner Setup. MVA 2011: 291-294 - [c90]Daniel Haase, Joachim Denzler:
Anatomical Landmark Tracking for the Analysis of Animal Locomotion in X-ray Videos Using Active Appearance Models. SCIA 2011: 604-615 - [c89]Jörn Schmidt, Marcel Brückner, Joachim Denzler:
Extrinsic Self-Calibration of Time-of-Flight Cameras using a Combination of 3D and Intensity Descriptors. VMV 2011: 269-276 - 2010
- [c88]Michael Kemmler, Erik Rodner, Joachim Denzler:
One-Class Classification with Gaussian Processes. ACCV (2) 2010: 489-500 - [c87]Christoph Munkelt, Andreas Breitbarth, Gunther Notni, Joachim Denzler:
Multi-View Planning for Simultaneous Coverage and Accuracy Optimisation. BMVC 2010: 1-11 - [c86]Marcel Brückner, Joachim Denzler:
Active Self-calibration of Multi-camera Systems. DAGM-Symposium 2010: 31-40 - [c85]Michael Kemmler, Joachim Denzler, Petra Rösch, Jürgen Popp:
Classification of Microorganisms via Raman Spectroscopy Using Gaussian Processes. DAGM-Symposium 2010: 81-90 - [c84]Erik Rodner, Joachim Denzler:
One-Shot Learning of Object Categories Using Dependent Gaussian Processes. DAGM-Symposium 2010: 232-241 - [c83]Michael Trummer, Christoph Munkelt, Joachim Denzler:
Online Next-Best-View Planning for Accuracy Optimization Using an Extended E-Criterion. ICPR 2010: 1642-1645 - [c82]Björn Fröhlich, Erik Rodner, Joachim Denzler:
A Fast Approach for Pixelwise Labeling of Facade Images. ICPR 2010: 3029-3032 - [c81]Esther-Sabrina Wacker, Joachim Denzler:
An Analysis-by-Synthesis Approach to Rope Condition Monitoring. ISVC (2) 2010: 459-468 - [c80]Daniel Haase, Esther-Sabrina Wacker, Ernst Günter Schukat-Talamazzini, Joachim Denzler:
Analysis of Structural Dependencies for the Automatic Visual Inspection of Wire Ropes. VMV 2010: 49-56
2000 – 2009
- 2009
- [j12]Frank Deinzer, Christian Derichs, Heinrich Niemann, Joachim Denzler:
A Framework for Actively Selecting Viewpoints in Object Recognition. Int. J. Pattern Recognit. Artif. Intell. 23(4): 765-799 (2009) - [c79]Doaa Hegazy, Joachim Denzler:
Combining Appearance and Range Based Information for Multi-class Generic Object Recognition. CIARP 2009: 741-748 - [c78]Erik Rodner, Joachim Denzler:
Randomized Probabilistic Latent Semantic Analysis for Scene Recognition. CIARP 2009: 945-953 - [c77]Marcel Brückner, Ferid Bajramovic, Joachim Denzler:
Geometric and probabilistic image dissimilarity measures for common field of view detection. CVPR 2009: 2052-2057 - [c76]Martin Rapus, Stefan Munder, Gregory Baratoff, Joachim Denzler:
Pedestrian Detection by Probabilistic Component Assembly. DAGM-Symposium 2009: 91-100 - [c75]Michael Kemmler, Erik Rodner, Joachim Denzler:
Global Context Extraction for Object Recognition Using a Combination of Range and Visual Features. Dyn3D 2009: 96-109 - [c74]Michael Trummer, Christoph Munkelt, Joachim Denzler:
Combined GKLT Feature Tracking and Reconstruction for Next Best View Planning. DAGM-Symposium 2009: 161-170 - [c73]Erik Rodner, Joachim Denzler:
Learning with Few Examples by Transferring Feature Relevance. DAGM-Symposium 2009: 252-261 - [c72]Christoph Munkelt, Michael Trummer, Peter Kühmstedt, Gunther Notni, Joachim Denzler:
View Planning for 3D Reconstruction Using Time-of-Flight Camera Data. DAGM-Symposium 2009: 352-361 - [c71]Esther-Sabrina Platzer, Josef Nägele, Karl-Heinz Wehking, Joachim Denzler:
HMM-Based Defect Localization in Wire Ropes - A New Approach to Unusual Subsequence Recognition. DAGM-Symposium 2009: 442-451 - [c70]Michael Trummer, Herbert Suesse, Joachim Denzler:
Coarse registration of 3D surface triangulations based on moment invariants with applications to object alignment and identification. ICCV 2009: 1273-1279 - [c69]Marcel Brückner, Frank Deinzer, Joachim Denzler:
Temporal Estimation of the 3d Guide-Wire Position Using 2d X-ray Images. MICCAI (1) 2009: 386-393 - [c68]Michael Trummer, Christoph Munkelt, Joachim Denzler:
Extending GKLT Tracking - Feature Tracking for Controlled Environments with Integrated Uncertainty Estimation. SCIA 2009: 460-469 - [c67]Esther-Sabrina Platzer, Joachim Denzler, Herbert Süße, Josef Nägele, Karl-Heinz Wehking:
Robustness of Different Features for One-class Classification and Anomaly Detection in Wire Ropes. VISAPP (1) 2009: 171-178 - [c66]Esther-Sabrina Platzer, Herbert Süße, Josef Nägele, Karl-Heinz Wehking, Joachim Denzler:
On the Suitability of Different Features for Anomaly Detection in Wire Ropes. VISIGRAPP (Selected Papers) 2009: 296-308 - [c65]Doaa Hegazy, Joachim Denzler:
Generic 3D Object Recognition from Time-of-Flight Images using Boosted Combined Shape Features. VISAPP (2) 2009: 321-326 - [c64]Ferid Bajramovic, Michael Koch, Joachim Denzler:
Experimental Comparison of Wide Baseline Correspondence Algorithms for Multi Camera Calibration. VISAPP (2) 2009: 458-463 - [c63]Ferid Bajramovic, Marcel Brückner, Joachim Denzler:
Using Common Field of View Detection for Multi Camera Calibration. VMV 2009: 113-120 - [e2]Joachim Denzler, Gunther Notni, Herbert Süße:
Pattern Recognition, 31st DAGM Symposium, Jena, Germany, September 9-11, 2009. Proceedings. Lecture Notes in Computer Science 5748, Springer 2009, ISBN 978-3-642-03797-9 [contents] - 2008
- [j11]Ferid Bajramovic, Benjamin Deutsch, Christoph Gräßl, Joachim Denzler:
Efficient Adaptive Combination of Histograms for Real-Time Tracking. EURASIP J. Image Video Process. 2008 (2008) - [j10]Olaf Kähler, Erik Rodner, Joachim Denzler:
On fusion of range and intensity information using Graph-Cut for planar patch segmentation. Int. J. Intell. Syst. Technol. Appl. 5(3/4): 365-373 (2008) - [c62]Esther-Sabrina Platzer, Frank Deinzer, Dietrich Paulus, Joachim Denzler:
3D Blood Flow Reconstruction from 2D Angiograms. Bildverarbeitung für die Medizin 2008: 288-292 - [c61]Ferid Bajramovic, Joachim Denzler:
Global Uncertainty-based Selection of Relative Poses for Multi Camera Calibration. BMVC 2008: 1-10 - [c60]Olaf Kähler, Joachim Denzler:
Implicit Feedback between Reconstruction and Tracking in a Combined Optimization Approach. DAGM-Symposium 2008: 274-283 - [c59]Erik Rodner, Herbert Süße, Wolfgang Ortmann, Joachim Denzler:
Difference of Boxes Filters Revisited: Shadow Suppression and Efficient Character Segmentation. Document Analysis Systems 2008: 263-269 - [c58]Doaa Hegazy, Joachim Denzler:
Generic Object Recognition Using Boosted Combined Features. RobVis 2008: 355-366 - [c57]Michael Trummer, Joachim Denzler, Christoph Munkelt:
Guided KLT Tracking Using Camera Parameters in Consideration of Uncertainty. VISIGRAPP (Selected Papers) 2008: 252-261 - [c56]Michael Trummer, Joachim Denzler, Christoph Munkelt:
KLT Tracking Using Intrinsic and Extrinsic Camera Parameters in Consideration of Uncertainty. VISAPP (2) 2008: 346-351 - [c55]Marcel Brückner, Ferid Bajramovic, Joachim Denzler:
Experimental Evaluation of Relative Pose Estimation Algorithms. VISAPP (2) 2008: 431-438 - [c54]Erik Rodner, Joachim Denzler:
Learning with Few Examples using a Constrained Gaussian Prior on Randomized Trees. VMV 2008: 159-168 - [c53]Olaf Kähler, Joachim Denzler:
Robust Real-Time SFM in a Combined Formulation of Tracking and Reconstruction. VMV 2008: 283-292 - [c52]Esther-Sabrina Platzer, Joachim Denzler, Herbert Süße, Josef Nägele, Karl-Heinz Wehking:
Challenging Anomaly Detection in Wire Ropes Using Linear Prediction Combined with One-class Classification. VMV 2008: 343-352 - 2007
- [c51]Ferid Bajramovic, Joachim Denzler:
Self-calibration with Partially Known Rotations. DAGM-Symposium 2007: 1-10 - [c50]Olaf Kähler, Joachim Denzler:
Rigid Motion Constraints for Tracking Planar Objects. DAGM-Symposium 2007: 102-111 - [c49]Christoph Munkelt, Michael Trummer, Joachim Denzler, Stefan Wenhardt:
Benchmarking 3D Reconstructions from Next Best View Planning. MVA 2007: 552-555 - [c48]Olaf Kähler, Joachim Denzler:
Detecting coplanar feature points in handheld image sequences. VISAPP (2) 2007: 447-452 - [e1]Joachim Denzler, Joachim Hornegger, Josef Kittler, Calvin R. Maurer Jr.:
Sensor Data and Information Fusion in Computer Vision and Medicine, 30.07. - 04.08.2006. Dagstuhl Seminar Proceedings 06311, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany 2007 [contents] - 2006
- [c47]Frank Deinzer, Joachim Denzler, Christian Derichs, Heinrich Niemann:
Aspects of Optimal Viewpoint Selection and Viewpoint Fusion. ACCV (2) 2006: 902-912 - [c46]Ferid Bajramovic, Frank Mattern, Nicholas Butko, Joachim Denzler:
A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition. ACIVS 2006: 1186-1197 - [c45]Frank Deinzer, Christian Derichs, Heinrich Niemann, Joachim Denzler:
Integrated Viewpoint Fusion and Viewpoint Selection for Optimal Object Recognition. BMVC 2006: 287-296 - [c44]Stefan Wenhardt, Benjamin Deutsch, Joachim Hornegger, Heinrich Niemann, Joachim Denzler:
An Information Theoretic Approach for Next Best View Planning in 3-D Reconstruction. ICPR (1) 2006: 103-106 - [i2]Joachim Denzler, Joachim Hornegger, Josef Kittler, Calvin R. Maurer Jr.:
06311 Executive Summary -- Sensor Data and Information Fusion in Computer Vision and Medicine. Sensor Data and Information Fusion in Computer Vision and Medicine 2006 - [i1]Joachim Denzler, Joachim Hornegger, Josef Kittler, Calvin R. Maurer Jr.:
06311 Abstracts Collection -- Sensor Data and Information Fusion in Computer Vision and Medicine. Sensor Data and Information Fusion in Computer Vision and Medicine 2006 - 2005
- [j9]Michael Reinhold, Marcin Grzegorzek, Joachim Denzler, Heinrich Niemann:
Appearance-based recognition of 3-D objects by cluttered background and occlusions. Pattern Recognit. 38(5): 739-753 (2005) - [j8]Torsten Rohlfing, Joachim Denzler, Christoph Gräßl, Daniel B. Russakoff, Calvin R. Maurer Jr.:
Markerless real-time 3-D target region tracking by motion backprojection from projection images. IEEE Trans. Medical Imaging 24(11): 1455-1468 (2005) - [c43]Olaf Kähler, Joachim Denzler:
Self-Organizing, Adaptive Data Fusion for 3d Object Tracking. ARCS Workshops 2005: 109-116 - [c42]Ferid Bajramovic, Christoph Gräßl, Joachim Denzler:
Efficient Combination of Histograms for Real-Time Tracking Using Mean-Shift and Trust-Region Optimization. DAGM-Symposium 2005: 254-261 - [c41]Benjamin Deutsch, Christoph Gräßl, Ferid Bajramovic, Joachim Denzler:
A Comparative Evaluation of Template and Histogram Based 2D Tracking Algorithms. DAGM-Symposium 2005: 269-276 - [c40]Benjamin Deutsch, Heinrich Niemann, Joachim Denzler:
Multi-step active object tracking with entropy based optimal actions using the sequential Kalman filter. ICIP (3) 2005: 105-108 - [c39]Ingo Scholz, Christian Vogelgsang, Joachim Denzler, Heinrich Niemann:
Dynamic Light Field Reconstruction and Rendering for Multiple Moving Objects. MVA 2005: 184-188 - 2004
- [j7]Ingo Scholz, Joachim Denzler, Heinrich Niemann:
Calibration of Real Scenes for the Reconstruction of Dynamic Light Fields. IEICE Trans. Inf. Syst. 87-D(1): 42-49 (2004) - [c38]Benjamin Deutsch, Matthias Zobel, Joachim Denzler, Heinrich Niemann:
Multi-step Entropy Based Sensor Control for Visual Object Tracking. DAGM-Symposium 2004: 359-366 - [c37]Benjamin Deutsch, Frank Deinzer, Matthias Zobel, Joachim Denzler:
Active Sensing Strategies for Robotic Platforms, with an Application in Vision-Based Gripping. ICINCO (2) 2004: 169-176 - [c36]Torsten Rohlfing, Daniel B. Russakoff, Joachim Denzler, Calvin R. Maurer Jr.:
Progressive Attenuation Fields: Fast 2D-3D Image Registration Without Precomputation. MICCAI (1) 2004: 631-638 - [c35]Torsten Rohlfing, Joachim Denzler, Daniel B. Russakoff, Christoph Gräßl, Calvin R. Maurer Jr.:
Markerless Real-Time Target Region Tracking: Application to Frameless Sterotactic Radiosurgery. VMV 2004: 5-12 - 2003
- [j6]Joachim Denzler, Benno Heigl, Matthias Zobel, Heinrich Niemann:
Plenoptic Models in Robot Vision. Künstliche Intell. 17(3): 63- (2003) - [j5]Matthias Zobel, Joachim Denzler, Benno Heigl, Elmar Nöth, Dietrich Paulus, Jochen Schmidt, Georg Stemmer:
MOBSY: Integration of vision and dialogue in service robots. Mach. Vis. Appl. 14(1): 26-34 (2003) - [c34]Frank Deinzer, Joachim Denzler, Heinrich Niemann:
Viewpoint Selection - Planning Optimal Sequences of Views for Object Recognition. CAIP 2003: 65-73 - [c33]Joachim Denzler, Matthias Zobel, Heinrich Niemann:
Information Theoretic Focal Length Selection for Real-Time Active 3-D Object Tracking. ICCV 2003: 400-407 - [c32]Rainer Deventer, Joachim Denzler, Heinrich Niemann, Oliver Kreis:
Using Test Plans for Bayesian Modeling. MLDM 2003: 307-316 - [c31]Marcin Grzegorzek, Frank Deinzer, Michael Reinhold, Joachim Denzler, Heinrich Niemann:
How Fusion of Multiple Views Can Improve Object Recognition in Real-World Environments. VMV 2003: 553-560 - 2002
- [j4]Joachim Denzler, Christopher M. Brown:
Information Theoretic Sensor Data Selection for Active Object Recognition and State Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 24(2): 145-157 (2002) - [c30]Joachim Denzler, Matthias Zobel, Heinrich Niemann:
On Optimal Camera Parameter Selection in Kalman Filter Based Object Tracking. DAGM-Symposium 2002: 17-25 - [c29]Christopher Drexler, Friedemann Mattern, Joachim Denzler:
Appearance Based Generic Object Modeling and Recognition Using Probabilistic Principal Component Analysis. DAGM-Symposium 2002: 100-108 - [c28]Joachim Denzler, Matthias Zobel, Heinrich Niemann:
Entropy based camera control for visual object tracking. ICIP (3) 2002: 901-904 - [c27]Frank Deinzer, Joachim Denzler, Heinrich Niemann:
Improving Object Recognition by Fusion of Multiple Views. ICVGIP 2002 - [c26]Ingo Scholz, Joachim Denzler, Heinrich Niemann:
Calibration of Real Scenes for the Reconstruction of Dynamic Light Fields. MVA 2002: 32-35 - [c25]Christopher Drexler, Frank Mattem, Joachim Denzler:
Generic Hierarchic Object Models and Classification Based on Probabilistic PCA. MVA 2002: 435-438 - 2001
- [c24]Matthias Zobel, Joachim Denzler, Benno Heigl, Elmar Nöth, Dietrich Paulus, Jochen Schmidt, Georg Stemmer:
Demonstration von Bildverarbeitung und Sprachverstehen in der Dienstleistungsrobotik. AMS 2001: 141-147 - [c23]Frank Deinzer, Joachim Denzler, Heinrich Niemann:
On Fusion of Multiple Views for Active Object Recognition. DAGM-Symposium 2001: 239-253 - [c22]Joachim Denzler, Christopher M. Brown, Heinrich Niemann:
Optimal Camera Parameter Selection for State Estimation with Applications in Object Recognition. DAGM-Symposium 2001: 305-312 - [c21]Rainer Deventer, Joachim Denzler, Heinrich Niemann:
Application of Bayesian Controllers to Dynamic Systems. HIS 2001: 555-569 - [c20]Matthias Zobel, Joachim Denzler, Benno Heigl, Elmar Nöth, Dietrich Paulus, Jochen Schmidt, Georg Stemmer:
MOBSY: Integration of Vision and Dialogue in Service Robots. ICVS 2001: 50-62 - 2000
- [c19]Dietrich Paulus, Christopher Drexler, Michael Reinhold, Matthias Zobel, Joachim Denzler:
Active Computer Vision System. CAMP 2000: 18- - [c18]Frank Deinzer, Joachim Denzler, Heinrich Niemann:
Classifier Independent Viewpoint Selection for 3-D Object Recognition. DAGM-Symposium 2000: 237-244 - [c17]Matthias Zobel, Arnd Gebhard, Dietrich Paulus, Joachim Denzler, Heinrich Niemann:
Robust Facial Feature Localization by Coupled Features. FG 2000: 2-7 - [c16]Frank Deinzer, Joachim Denzler, Heinrich Niemann:
Viewpoint Selection-A Classifier Independent Learning Approach. SSIAI 2000: 209-215 - [c15]Michael Reinhold, Frank Deinzer, Joachim Denzler, Dietrich Paulus, Josef Pösl:
Active Appearance-Based Object Recognition Using Viewpoint Selection. VMV 2000: 105-112
1990 – 1999
- 1999
- [j3]Joachim Denzler, Heinrich Niemann:
Active Rays: Polar-transformed Active Contours for Real-Time Contour Tracking. Real Time Imaging 5(3): 203-213 (1999) - [c14]Christopher Drexler, Carmen Frank, Joachim Denzler, Heinrich Niemann:
Probabilistisch modellierte Blicksteuerung zur Selbstlokalisation anhand natürlicher Landmarken. AMS 1999: 221-230 - [c13]Benno Heigl, Reinhard Koch, Marc Pollefeys, Joachim Denzler, Luc Van Gool:
Plenoptic Modeling and Rendering from Image Sequences Taken by Hand-Held Camera. DAGM-Symposium 1999: 94-101 - [c12]Dietrich Paulus, Ulrike Ahlrichs, Benno Heigl, Joachim Denzler, Joachim Hornegger, Heinrich Niemann:
Active Knowledge-Based Scene Analysis. ICVS 1999: 180-199 - 1998
- [c11]Joachim Denzler, Benno Heigl, Heinrich Niemann:
An Efficient Combination of 2D and 3D Shape Descriptions for Contour Based Tracking of Moving Objects. ECCV (1) 1998: 843-857 - [c10]Benno Heigl, Joachim Denzler, Heinrich Niemann:
On the application of light field reconstruction for statistical object recognition. EUSIPCO 1998: 1-4 - 1997
- [b1]Joachim Denzler:
Aktives Sehen zur Echtzeitobjektverfolgung. University of Erlangen-Nuremberg, DISKI 163, Infix 1997, ISBN 978-3-89601-163-3, pp. I-XVI, 1-231 - [c9]Joachim Denzler, Heinrich Niemann:
Real-Time Pedestrian Tracking in Natural Scenes. CAIP 1997: 42-49 - [c8]Joachim Denzler, Heinrich Niemann:
COBOLT: Ein System zur datengetriebenen Verfolgung bewegter Objekte in Echtzeit. DAGM-Symposium 1997: 209-216 - [c7]Dorthe Meyer, Joachim Denzler, Heinrich Niemann:
Model Based Extraction of Articulated Objects in Image Sequences for Gait Analysis. ICIP (3) 1997: 78-81 - 1996
- [j2]Joachim Denzler, Heinrich Niemann:
3D data driven prediction for active contour models based on geometric bounding volumes. Pattern Recognit. Lett. 17(11): 1171-1178 (1996) - [c6]Joachim Denzler, Heinrich Niemann:
Echtzeitobjektverfolgung mit Aktiven Strahlen. DAGM-Symposium 1996: 84-91 - [c5]Joachim Denzler, Volker Schless, Dietrich Paulus, Heinrich Niemann:
Statistical approach to classification of flow patterns for motion detection. ICIP (1) 1996: 517-520 - [c4]Joachim Denzler, Heinrich Niemann:
3D Data Driven Prediction for Active Contour Models with Application to Car Tracking. MVA 1996: 204-207 - 1995
- [j1]Joachim Denzler, Heinrich Niemann:
Combination of simple vision modules for robust real-time motion tracking. Eur. Trans. Telecommun. 6(3): 275-286 (1995) - 1994
- [c3]Joachim Denzler, Dietrich Paulus:
Active Motion Detection and Object Tracking. ICIP (3) 1994: 635-639 - [c2]Joachim Denzler, Rüdiger Bess, Joachim Hornegger, Heinrich Niemann, Dietrich Paulus:
Learning, tracking and recognition of 3D objects. IROS 1994: 89-96 - 1993
- [c1]Joachim Denzler, Ralf Kompe, Andreas Kießling, Heinrich Niemann, Elmar Nöth:
Going back to the source: inverse filtering of the speech signal with ANNs. EUROSPEECH 1993: 111-114
Coauthor Index
[j27] [j24] [c172] [i28] [j23] [c161] [i20] [i19] [i18] [i17] [c154] [c153] [c152] [c151] [c150] [c149] [c148] [c147] [c146] [i15] [i13] [i12] [i11] [i10] [i9] [c142] [c138] [c137] [c136] [c135] [i8] [i7] [c134] [c133] [c132] [c130] [c127] [i6] [i5] [i4] [j18] [j17] [c118] [c117] [c113] [i3] [c110] [c109] [c107] [c106] [c105] [c102] [c99] [j13] [c92] [c88] [c84] [c82] [c78] [c75] [c73] [j10] [c59] [c54]
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