Joachim Denzler

ORCID

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 175

Top Venues

CoRR

GCPR

VISIGRAPP (5: VISAPP)

GI-Jahrestagung

University of Erlangen-Nuremberg (PHD)

Education History

University of Erlangen-Nuremberg

PHD

Publications

Sai Karthikeya Vemuri, Tim Büchner, Joachim Denzler
Estimating Soil Hydraulic Parameters for Unsaturated Flow Using Physics-Informed Neural Networks. ICCS (3) (2024)
Dong Han, Yong Li, Joachim Denzler
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain. CoRR (2024)
Niklas Penzel, Gideon Stein, Joachim Denzler
Reducing Bias in Pre-Trained Models by Tuning While Penalizing Change. VISIGRAPP (2): VISAPP (2024)
Niklas Penzel, Gideon Stein, Joachim Denzler
Reducing Bias in Pre-trained Models by Tuning while Penalizing Change. CoRR (2024)
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
Deep Learning-based Group Causal Inference in Multivariate Time-series. CoRR (2024)
Dong Han, Yufan Jiang, Yong Li, Ricardo Mendes, Joachim Denzler
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing. CoRR (2024)
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)
Tristan Piater, Niklas Penzel, Gideon Stein, Joachim Denzler
When Medical Imaging Met Self-Attention: A Love Story That Didn't Quite Work Out. CoRR (2024)
Tim Büchner, Niklas Penzel, Orlando Guntinas-Lichius, Joachim Denzler
The Power of Properties: Uncovering the Influential Factors in Emotion Classification. CoRR (2024)
Dong Han, Yong Li, Joachim Denzler
Privacy-Preserving Face Recognition in Hybrid Frequency-Color Domain. VISIGRAPP (2): VISAPP (2024)
Gideon Stein, Maha Shadaydeh, Joachim Denzler
Embracing the black box: Heading towards foundation models for causal discovery from time series data. CoRR (2024)
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 (2024)
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 (2024)
Tim Büchner, Oliver Mothes, Orlando Guntinas-Lichius, Joachim Denzler
JeFaPaTo - A joint toolbox for blinking analysis and facial features extraction. CoRR (2024)
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)
Dimitri Korsch, Maha Shadaydeh, Joachim Denzler
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-Grained Classification. DAGM (2023)
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)
Matthias Körschens, Solveig Franziska Bucher, Christine Römermann, Joachim Denzler
Unified Automatic Plant Cover and Phenology Prediction. ICCV (Workshops) (2023)
Dimitri Korsch, Paul Bodesheim, Gunnar Brehm, Joachim Denzler
Automated Visual Monitoring of Nocturnal Insects with Light-based Camera Traps. CoRR (2023)
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 (2023)
Dimitri Korsch, Maha Shadaydeh, Joachim Denzler
Simplified Concrete Dropout - Improving the Generation of Attribution Masks for Fine-grained Classification. CoRR (2023)
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)
Tim Büchner, Orlando Guntinas-Lichius, Joachim Denzler
Improved Obstructed Facial Feature Reconstruction for Emotion Recognition with Minimal Change CycleGANs. ACIVS (2023)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification. CoRR (2023)
Matthias Körschens, Solveig Franziska Bucher, Christine Römermann, Joachim Denzler
Improving Data Efficiency for Plant Cover Prediction with Label Interpolation and Monte-Carlo Cropping. CoRR (2023)
Sai Karthikeya Vemuri, Joachim Denzler
Gradient Statistics-Based Multi-Objective Optimization in Physics-Informed Neural Networks. Sensors 23 (21) (2023)
Niklas Penzel, Jana Kierdorf, Ribana Roscher, Joachim Denzler
Analyzing the Behavior of Cauliflower Harvest-Readiness Models by Investigating Feature Relevances. ICCV (Workshops) (2023)
Niklas Penzel, Joachim Denzler
Interpreting Art by Leveraging Pre-Trained Models. MVA (2023)
Jan Blunk, Niklas Penzel, Paul Bodesheim, Joachim Denzler
Beyond Debiasing: Actively Steering Feature Selection via Loss Regularization. DAGM (2023)
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)
Clemens-Alexander Brust, Björn Barz, Joachim Denzler
Self-supervised Learning from Semantically Imprecise Data. VISIGRAPP (5: VISAPP) (2022)
Matthias Körschens, Paul Bodesheim, Joachim Denzler
Beyond Global Average Pooling: Alternative Feature Aggregations for Weakly Supervised Localization. VISIGRAPP (4: VISAPP) (2022)
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)
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)
Sven Festag, Joachim Denzler, Cord Spreckelsen
Generative adversarial networks for biomedical time series forecasting and imputation. J. Biomed. Informatics 129 (2022)
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)
Niklas Penzel, Christian Reimers, Paul Bodesheim, Joachim Denzler
Investigating Neural Network Training on a Feature Level Using Conditional Independence. ECCV Workshops (6) (2022)
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
Image Classification With Small Datasets: Overview and Benchmark. IEEE Access 10 (2022)
Violeta Teodora Trifunov, Maha Shadaydeh, Joachim Denzler
Sequential Causal Effect Variational Autoencoder: Time Series Causal Link Estimation under Hidden Confounding. CoRR (2022)
Lorenzo Brigato, B. Barz, Luca Iocchi, Joachim Denzler
Image Classification with Small Datasets: Overview and Benchmark. CoRR (2022)
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
Causal Discovery using Model Invariance through Knockoff Interventions. CoRR (2022)
Björn Barz, Joachim Denzler
Weakly-supervised Localization of Multiple Objects in Images using Cosine Loss. VISIGRAPP (5: VISAPP) (2022)
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)
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 (2022)
Matthias Körschens, Paul Bodesheim, Joachim Denzler
Occlusion-Robustness of Convolutional Neural Networks via Inverted Cutout. ICPR (2022)
Björn Barz, Lorenzo Brigato, Luca Iocchi, Joachim Denzler
A Strong Baseline for the VIPriors Data-Efficient Image Classification Challenge. CoRR (2021)
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)
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)
Niklas Penzel, Christian Reimers, Clemens-Alexander Brust, Joachim Denzler
Investigating the Consistency of Uncertainty Sampling in Deep Active Learning. GCPR (2021)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Deep Learning Pipeline for Automated Visual Moth Monitoring: Insect Localization and Species Classification. GI-Jahrestagung (2021)
Bernd Gruner, Matthias Körschens, Björn Barz, Joachim Denzler
Domain Adaptation and Active Learning for Fine-Grained Recognition in the Field of Biodiversity. CoRR (2021)
Martin Thümmel, Sven Sickert, Joachim Denzler
Facial Behavior Analysis using 4D Curvature Statistics for Presentation Attack Detection. IWBF (2021)
Björn Barz, Joachim Denzler
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. NeurIPS Datasets and Benchmarks (2021)
Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. ICMLA (2021)
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 (2021)
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 (2021)
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)
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. ICMLA (2021)
Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler
Conditional Adversarial Debiasing: Towards Learning Unbiased Classifiers from Biased Data. GCPR (2021)
Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Mirco Migliavacca, Josephine Ulrich, Joachim Denzler
Automatic Plant Cover Estimation with Convolutional Neural Networks. CoRR (2021)
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)
Wasim Ahmad, Maha Shadaydeh, Joachim Denzler
Causal Inference in Non-linear Time-series using Deep Networks and Knockoff Counterfactuals. CoRR (2021)
Clemens-Alexander Brust, Björn Barz, Joachim Denzler
Self-Supervised Learning from Semantically Imprecise Data. CoRR (2021)
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. CoRR (2021)
Felix Schneider, Björn Barz, Joachim Denzler
Detecting Scenes in Fiction Using the Embedding Delta Signal. STSS@KONVENS (2021)
Björn Barz, Joachim Denzler
WikiChurches: A Fine-Grained Dataset of Architectural Styles with Real-World Challenges. CoRR (2021)
Lorenzo Brigato, Björn Barz, Luca Iocchi, Joachim Denzler
Tune It or Don't Use It: Benchmarking Data-Efficient Image Classification. ICCVW (2021)
Clemens-Alexander Brust, Björn Barz, Joachim Denzler
Carpe Diem: A Lifelong Learning Tool for Automated Wildlife Surveillance. GI-Jahrestagung (2021)
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)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
End-to-End Learning of Fisher Vector Encodings for Part Features in Fine-Grained Recognition. GCPR (2021)
Christian Reimers, Paul Bodesheim, Jakob Runge, Joachim Denzler
Towards Learning an Unbiased Classifier from Biased Data via Conditional Adversarial Debiasing. CoRR (2021)
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 (2021)
Oana-Iuliana Popescu, Maha Shadaydeh, Joachim Denzler
Counterfactual Generation with Knockoffs. CoRR (2021)
Violeta Teodora Trifunov, Maha Shadaydeh, Björn Barz, Joachim Denzler
Anomaly Attribution of Multivariate Time Series using Counterfactual Reasoning. CoRR (2021)
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)
Julia Böhlke, Dimitri Korsch, Paul Bodesheim, Joachim Denzler
Exploiting Web Images for Moth Species Classification. GI-Jahrestagung (2021)
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)
Dimitri Korsch, Paul Bodesheim, Joachim Denzler
End-to-end Learning of a Fisher Vector Encoding for Part Features in Fine-grained Recognition. CoRR (2020)
Björn Barz, Joachim Denzler
Do We Train on Test Data? Purging CIFAR of Near-Duplicates. J. Imaging 6 (6) (2020)
Björn Barz, Joachim Denzler
Content-based Image Retrieval and the Semantic Gap in the Deep Learning Era. CoRR (2020)
Christian Reimers, Jakob Runge, Joachim Denzler
Determining the Relevance of Features for Deep Neural Networks. ECCV (26) (2020)
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 (2020)
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)
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 (2020)
Nils Gählert, Nicolas Jourdan, Marius Cordts, Uwe Franke, Joachim Denzler
Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection. CoRR (2020)
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 (2020)
Björn Barz, Kai Schröter, Ann-Christin Kra, Joachim Denzler
Finding Relevant Flood Images on Twitter Using Content-Based Filters. ICPR Workshops (6) (2020)
Clemens-Alexander Brust, Björn Barz, Joachim Denzler
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. ICPR (2020)
Björn Barz, Joachim Denzler
Deep Learning on Small Datasets without Pre-Training using Cosine Loss. WACV (2020)
Clemens-Alexander Brust, Christoph Käding, Joachim Denzler
Active and Incremental Learning with Weak Supervision. CoRR (2020)
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 (2020)
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) (2020)
Björn Barz, Kai Schröter, Ann-Christin Kra, Joachim Denzler
Finding Relevant Flood Images on Twitter using Content-based Filters. CoRR (2020)
Clemens-Alexander Brust, Björn Barz, Joachim Denzler
Making Every Label Count: Handling Semantic Imprecision by Integrating Domain Knowledge. CoRR (2020)
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 (2020)
Matthias Körschens, Paul Bodesheim, Christine Römermann, Solveig Franziska Bucher, Josephine Ulrich, Joachim Denzler
Towards Confirmable Automated Plant Cover Determination. ECCV Workshops (6) (2020)
Clemens-Alexander Brust, Christoph Käding, Joachim Denzler
Active and Incremental Learning with Weak Supervision. Künstliche Intell. 34 (2) (2020)
Nils Gählert, Niklas Hanselmann, Uwe Franke, Joachim Denzler
Visibility Guided NMS: Efficient Boosting of Amodal Object Detection in Crowded Traffic Scenes. CoRR (2020)
Björn Barz, Joachim Denzler
Content-Based Image Retrieval and the Semantic Gap in the Deep Learning Era. ICPR Workshops (2) (2020)
Christian Requena-Mesa, Markus Reichstein, Miguel D. Mahecha, Basil Kraft, Joachim Denzler
Predicting Landscapes from Environmental Conditions Using Generative Networks. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Joachim Denzler