Stefan Duffner

Orcid: 0000-0003-0374-3814

According to our database1, Stefan Duffner authored at least 78 papers between 2005 and 2023.

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Bibliography

2023
Is My Neural Net Driven by the MDL Principle?
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Whole brain radiomics for clustered federated personalization in brain tumor segmentation.
Proceedings of the Medical Imaging with Deep Learning, 2023

SportsVideo: A Multimedia Dataset for Sports Event and Position Detection in Table Tennis and Swimming.
Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023

Long-Range Transformer Architectures for Document Understanding.
Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

2022
Periodicity counting in videos with unsupervised learning of cyclic embeddings.
Pattern Recognit. Lett., 2022

Learning PDE to Model Self-Organization of Matter.
Entropy, 2022

In pursuit of the hidden features of GNN's internal representations.
Data Knowl. Eng., 2022

SwimTrack: Swimmers and Stroke Rate Detection in Elite Race Videos.
Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

What Does My GNN Really Capture? On Exploring Internal GNN Representations.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Efficient One-Shot Sports Field Image Registration with Arbitrary Keypoint Segmentation.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

The Impact of Action in Visual Representation Learning.
Proceedings of the IEEE International Conference on Development and Learning, 2022

Qu'est-ce que mon GNN capture vraiment ? Exploration des représentations internes d'un GNN.
Proceedings of the Extraction et Gestion des Connaissances, 2022

Improving Information Extraction on Business Documents with Specific Pre-training Tasks.
Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

Robust Variational Autoencoders and Normalizing Flows for Unsupervised Network Anomaly Detection.
Proceedings of the Advanced Information Networking and Applications, 2022

RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection.
Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021
Deep Model Compression and Architecture Optimization for Embedded Systems: A Survey.
J. Signal Process. Syst., 2021

2D Wasserstein loss for robust facial landmark detection.
Pattern Recognit., 2021

List-wise learning-to-rank with convolutional neural networks for person re-identification.
Mach. Vis. Appl., 2021

RADON: Robust Autoencoder for Unsupervised Anomaly Detection.
Proceedings of the 14th International Conference on Security of Information and Networks, 2021

Detecting Swimmers in Unconstrained Videos with Few Training Data.
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

Sequence Metric Learning as Synchronization of Recurrent Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021

Novelty detection for unsupervised continual learning in image sequences.
Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Self-supervised Continual Learning for Object Recognition in Image Sequences.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Data-Efficient Information Extraction from Documents with Pre-trained Language Models.
Proceedings of the Document Analysis and Recognition, 2021

Exploiting Visual Context to Identify People in TV Programs.
Proceedings of the Computer Analysis of Images and Patterns, 2021

Similarity Metric Learning.
Proceedings of the Multi-faceted Deep Learning - Models and Data, 2021

2020
Two-stage human hair segmentation in the wild using deep shape prior.
Pattern Recognit. Lett., 2020

Fine-grained facial landmark detection exploiting intermediate feature representations.
Comput. Vis. Image Underst., 2020

Learning Sparse Filters in Deep Convolutional Neural Networks with a l1/l2 Pseudo-Norm.
CoRR, 2020

Learning personalized ADL recognition models from few raw data.
Artif. Intell. Medicine, 2020

Unsupervised learning of co-occurrences for face images retrieval.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Multiple Instance Learning for Training Neural Networks under Label Noise.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning Sparse Filters in Deep Convolutional Neural Networks with a l<sub>1/l<sub>2</sub></sub> Pseudo-Norm.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Network Traffic Modeling For IoT-device Re-identification.
Proceedings of the 2020 International Conference on Omni-layer Intelligent Systems, 2020

2019
Facial Landmark Correlation Analysis.
CoRR, 2019

Routine Modeling with Time Series Metric Learning.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Personalized Posture and Fall Classification with Shallow Gated Recurrent Units.
Proceedings of the 32nd IEEE International Symposium on Computer-Based Medical Systems, 2019

Weakly Supervised and On-line Machine Learning for Object Tracking and Recognition in Images and Videos.
, 2019

2018
Low-Complexity Approximate Convolutional Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2018

Pairwise Identity Verification via Linear Concentrative Metric Learning.
IEEE Trans. Cybern., 2018

Deep and low-level feature based attribute learning for person re-identification.
Image Vis. Comput., 2018

Class-balanced siamese neural networks.
Neurocomputing, 2018

Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations.
Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2018), 2018

Similarity Learning with Listwise Ranking for Person Re-Identification.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Person Re-identification Using Group Context.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

Person Re-Identification with a Body Orientation-Specific Convolutional Neural Network.
Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017
Fast Pixelwise Adaptive Visual Tracking of Non-Rigid Objects.
IEEE Trans. Image Process., 2017

Triplet CNN and pedestrian attribute recognition for improved person re-identification.
Proceedings of the 14th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2017

2016
Visual Focus of Attention Estimation With Unsupervised Incremental Learning.
IEEE Trans. Circuits Syst. Video Technol., 2016

Using Discriminative Motion Context for Online Visual Object Tracking.
IEEE Trans. Circuits Syst. Video Technol., 2016

Siamese multi-layer perceptrons for dimensionality reduction and face identification.
Multim. Tools Appl., 2016

End-to-End Data Visualization by Metric Learning and Coordinate Transformation.
CoRR, 2016

Polar Sine Based Siamese Neural Network for Gesture Recognition.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015
Coherent Selection of Independent Trackers for Real-time Object Tracking.
Proceedings of the VISAPP 2015, 2015

Logistic similarity metric learning for face verification.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Triangular similarity metric learning for face verification.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

The FG 2015 Kinship Verification in the Wild Evaluation.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Siamese neural network based similarity metric for inertial gesture classification and rejection.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Classifying Global Scene Context for On-line Multiple Tracker Selection.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Leveraging colour segmentation for upper-body detection.
Pattern Recognit., 2014

3D gesture classification with convolutional neural networks.
Proceedings of the IEEE International Conference on Acoustics, 2014


Exploiting Contextual Motion Cues for Visual Object Tracking.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013
Track Creation and Deletion Framework for Long-Term Online Multiface Tracking.
IEEE Trans. Image Process., 2013

Real-Time Audio-Visual Analysis for Multiperson Videoconferencing.
Adv. Multim., 2013

PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Unsupervised online learning of visual focus of attention.
Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012
Multimodal Cue Detection Engine for Orchestrated Entertainment.
Proceedings of the Advances in Multimedia Modeling - 18th International Conference, 2012

2011
Just-in-time multimodal association and fusion from home entertainment.
Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, 2011

Exploiting long-term observations for track creation and deletion in online multi-face tracking.
Proceedings of the Ninth IEEE International Conference on Automatic Face and Gesture Recognition (FG 2011), 2011

2009
Dynamic Partitioned Sampling For Tracking With Discriminative Features.
Proceedings of the British Machine Vision Conference, 2009

2008
Face image analysis with convolutional neural networks.
PhD thesis, 2008

Robust Face Alignment Using Convolutional Neural Networks.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

2007
An Online Backpropagation Algorithm with Validation Error-Based Adaptive Learning Rate.
Proceedings of the Artificial Neural Networks, 2007

Face recognition using non-linear image reconstruction.
Proceedings of the Fourth IEEE International Conference on Advanced Video and Signal Based Surveillance, 2007

2006
Segmentation of Vectorial Image Features Using Shape Gradients and Information Measures.
J. Math. Imaging Vis., 2006

A Neural Scheme for Robust Detection of Transparent Logos in TV Programs.
Proceedings of the Artificial Neural Networks, 2006

2005


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