Stefan Duffner

According to our database, Stefan Duffner authored at least 83 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

On GNN explainability with activation rules.

Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet

Data Min. Knowl. Discov., September, 2024

Federated brain tumor segmentation: An extensive benchmark.

Matthis Manthe, Stefan Duffner, Carole Lartizien

Medical Image Anal., 2024

On GNN explanability with activation rules.

Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet

CoRR, 2024

Deep Domain Isolation and Sample Clustered Federated Learning for Semantic Segmentation.

Matthis Manthe, Carole Lartizien, Stefan Duffner

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

GroCo: Ground Constraint for Metric Self-supervised Monocular Depth.

Aurélien Cecille, Stefan Duffner, Franck Davoine, Thibault Neveu, Rémi Agier

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Is My Neural Net Driven by the MDL Principle?

Eduardo Brandao, Stefan Duffner, Rémi Emonet, Amaury Habrard, François Jacquenet, Marc Sebban

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Whole brain radiomics for clustered federated personalization in brain tumor segmentation.

Matthis Manthe, Stefan Duffner, Carole Lartizien

Proceedings of the Medical Imaging with Deep Learning, 2023

SportsVideo: A Multimedia Dataset for Sports Event and Position Detection in Table Tennis and Swimming.

Aymeric Erades, Pierre-Etienne Martin, Romain Vuillemot, Boris Mansencal, Renaud Péteri, Julien Morlier, Stefan Duffner, Jenny Benois-Pineau

Proceedings of the Working Notes Proceedings of the MediaEval 2023 Workshop, 2023

Long-Range Transformer Architectures for Document Understanding.

Thibault Douzon, Stefan Duffner, Christophe Garcia, Jérémy Espinas

Proceedings of the Document Analysis and Recognition - ICDAR 2023 Workshops, 2023

2022

Periodicity counting in videos with unsupervised learning of cyclic embeddings.

Nicolas Jacquelin, Romain Vuillemot, Stefan Duffner

Pattern Recognit. Lett., 2022

Learning PDE to Model Self-Organization of Matter.

Eduardo Brandao, Jean-Philippe Colombier, Stefan Duffner, Rémi Emonet, Florence Garrelie, Amaury Habrard, François Jacquenet, Anthony Nakhoul, Marc Sebban

Entropy, 2022

In pursuit of the hidden features of GNN's internal representations.

Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet

Data Knowl. Eng., 2022

SwimTrack: Swimmers and Stroke Rate Detection in Elite Race Videos.

Nicolas Jacquelin, Jaunet Théo, Romain Vuillemot, Stefan Duffner

Proceedings of the Working Notes Proceedings of the MediaEval 2022 Workshop, 2022

What Does My GNN Really Capture? On Exploring Internal GNN Representations.

Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Efficient One-Shot Sports Field Image Registration with Arbitrary Keypoint Segmentation.

Nicolas Jacquelin, Romain Vuillemot, Stefan Duffner

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

The Impact of Action in Visual Representation Learning.

Alexandre Devillers, Valentin Chaffraix, Frédéric Armetta, Stefan Duffner, Mathieu Lefort

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.

Luca Veyrin-Forrer, Ataollah Kamal, Stefan Duffner, Marc Plantevit, Céline Robardet

Proceedings of the Extraction et Gestion des Connaissances, 2022

Improving Information Extraction on Business Documents with Specific Pre-training Tasks.

Thibault Douzon, Stefan Duffner, Christophe Garcia, Jérémy Espinas

Proceedings of the Document Analysis Systems - 15th IAPR International Workshop, 2022

Robust Variational Autoencoders and Normalizing Flows for Unsupervised Network Anomaly Detection.

Naji Najari, Samuel Berlemont, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

Proceedings of the Advanced Information Networking and Applications, 2022

RESIST: Robust Transformer for Unsupervised Time Series Anomaly Detection.

Naji Najari, Samuel Berlemont, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

Proceedings of the Advanced Analytics and Learning on Temporal Data, 2022

2021

Deep Model Compression and Architecture Optimization for Embedded Systems: A Survey.

Anthony Berthelier, Thierry Chateau, Stefan Duffner, Christophe Garcia, Christophe Blanc

J. Signal Process. Syst., 2021

2D Wasserstein loss for robust facial landmark detection.

Yongzhe Yan, Stefan Duffner, Priyanka Phutane, Anthony Berthelier, Christophe Blanc, Christophe Garcia, Thierry Chateau

Pattern Recognit., 2021

List-wise learning-to-rank with convolutional neural networks for person re-identification.

Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt

Mach. Vis. Appl., 2021

RADON: Robust Autoencoder for Unsupervised Anomaly Detection.

Naji Najari, Samuel Berlemont, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

Proceedings of the 14th International Conference on Security of Information and Networks, 2021

Detecting Swimmers in Unconstrained Videos with Few Training Data.

Nicolas Jacquelin, Romain Vuillemot, Stefan Duffner

Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2021

Sequence Metric Learning as Synchronization of Recurrent Neural Networks.

Paul Compagnon, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

Proceedings of the International Joint Conference on Neural Networks, 2021

Novelty detection for unsupervised continual learning in image sequences.

Ruiqi Dai, Mathieu Lefort, Frédéric Armetta, Mathieu Guillermin, Stefan Duffner

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Self-supervised Continual Learning for Object Recognition in Image Sequences.

Ruiqi Dai, Mathieu Lefort, Frédéric Armetta, Mathieu Guillermin, Stefan Duffner

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Data-Efficient Information Extraction from Documents with Pre-trained Language Models.

Clément Sage, Thibault Douzon, Alex Aussem, Véronique Eglin, Haytham Elghazel, Stefan Duffner, Christophe Garcia, Jérémy Espinas

Proceedings of the Document Analysis and Recognition, 2021

Exploiting Visual Context to Identify People in TV Programs.

Thomas Petit, Pierre Letessier, Stefan Duffner, Christophe Garcia

Proceedings of the Computer Analysis of Images and Patterns, 2021

Similarity Metric Learning.

Stefan Duffner, Christophe Garcia, Khalid Idrissi, Atilla Baskurt

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

2020

Two-stage human hair segmentation in the wild using deep shape prior.

Yongzhe Yan, Stefan Duffner, Xavier Naturel, Anthony Berthelier, Christophe Garcia, Christophe Blanc, Thierry Chateau

Pattern Recognit. Lett., 2020

Fine-grained facial landmark detection exploiting intermediate feature representations.

Yongzhe Yan, Stefan Duffner, Priyanka Phutane, Anthony Berthelier, Xavier Naturel, Christophe Blanc, Christophe Garcia, Thierry Chateau

Comput. Vis. Image Underst., 2020

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

Anthony Berthelier, Yongzhe Yan, Thierry Chateau, Christophe Blanc, Stefan Duffner, Christophe Garcia

CoRR, 2020

Learning personalized ADL recognition models from few raw data.

Paul Compagnon, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

Artif. Intell. Medicine, 2020

Unsupervised learning of co-occurrences for face images retrieval.

Thomas Petit, Pierre Letessier, Stefan Duffner, Christophe Garcia

Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

Multiple Instance Learning for Training Neural Networks under Label Noise.

Stefan Duffner, Christophe Garcia

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Learning Sparse Filters in Deep Convolutional Neural Networks with a l_1/l₂ Pseudo-Norm.

Anthony Berthelier, Yongzhe Yan, Thierry Chateau, Christophe Blanc, Stefan Duffner, Christophe Garcia

Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Network Traffic Modeling For IoT-device Re-identification.

Naji Najari, Samuel Berlemont, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

Proceedings of the 2020 International Conference on Omni-layer Intelligent Systems, 2020

2019

Facial Landmark Correlation Analysis.

Yongzhe Yan, Stefan Duffner, Priyanka Phutane, Anthony Berthelier, Christophe Blanc, Christophe Garcia, Thierry Chateau

CoRR, 2019

Routine Modeling with Time Series Metric Learning.

Paul Compagnon, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019: Deep Learning, 2019

Personalized Posture and Fall Classification with Shallow Gated Recurrent Units.

Paul Compagnon, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

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.

Stefan Duffner

, 2019

2018

Low-Complexity Approximate Convolutional Neural Networks.

Renato J. Cintra, Stefan Duffner, Christophe Garcia, André Leite

IEEE Trans. Neural Networks Learn. Syst., 2018

Pairwise Identity Verification via Linear Concentrative Metric Learning.

Lilei Zheng, Stefan Duffner, Khalid Idrissi, Christophe Garcia, Atilla Baskurt

IEEE Trans. Cybern., 2018

Deep and low-level feature based attribute learning for person re-identification.

Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt

Image Vis. Comput., 2018

Class-balanced siamese neural networks.

Samuel Berlemont, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

Neurocomputing, 2018

Pedestrian Attribute Recognition with Part-based CNN and Combined Feature Representations.

Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt

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.

Yiqiang Chen, Stefan Duffner, Atilla Baskurt, Andrei Stoian, Jean-Yves Dufour

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Person Re-identification Using Group Context.

Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

Person Re-Identification with a Body Orientation-Specific Convolutional Neural Network.

Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt

Proceedings of the Advanced Concepts for Intelligent Vision Systems, 2018

2017

Fast Pixelwise Adaptive Visual Tracking of Non-Rigid Objects.

Stefan Duffner, Christophe Garcia

IEEE Trans. Image Process., 2017

Triplet CNN and pedestrian attribute recognition for improved person re-identification.

Yiqiang Chen, Stefan Duffner, Andrei Stoian, Jean-Yves Dufour, Atilla Baskurt

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.

Stefan Duffner, Christophe Garcia

IEEE Trans. Circuits Syst. Video Technol., 2016

Using Discriminative Motion Context for Online Visual Object Tracking.

Stefan Duffner, Christophe Garcia

IEEE Trans. Circuits Syst. Video Technol., 2016

Siamese multi-layer perceptrons for dimensionality reduction and face identification.

Lilei Zheng, Stefan Duffner, Khalid Idrissi, Christophe Garcia, Atilla Baskurt

Multim. Tools Appl., 2016

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

Lilei Zheng, Ying Zhang, Stefan Duffner, Khalid Idrissi, Christophe Garcia, Atilla Baskurt

CoRR, 2016

Polar Sine Based Siamese Neural Network for Gesture Recognition.

Samuel Berlemont, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

2015

Coherent Selection of Independent Trackers for Real-time Object Tracking.

Salma Moujtahid, Stefan Duffner, Atilla Baskurt

Proceedings of the VISAPP 2015, 2015

Logistic similarity metric learning for face verification.

Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Triangular similarity metric learning for face verification.

Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt

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.

Jiwen Lu, Junlin Hu, Venice Erin Liong, Xiuzhuang Zhou, Andrea Bottino, Ihtesham Ul Islam, Tiago Figueiredo Vieira, Xiaoqian Qin, Xiaoyang Tan, Songcan Chen, Shahar Mahpod, Yosi Keller, Lilei Zheng, Khalid Idrissi, Christophe Garcia, Stefan Duffner, Atilla Baskurt, Modesto Castrillón Santana, Javier Lorenzo-Navarro

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.

Samuel Berlemont, Grégoire Lefebvre, Stefan Duffner, Christophe Garcia

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.

Salma Moujtahid, Stefan Duffner, Atilla Baskurt

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Leveraging colour segmentation for upper-body detection.

Stefan Duffner, Jean-Marc Odobez

Pattern Recognit., 2014

3D gesture classification with convolutional neural networks.

Stefan Duffner, Samuel Berlemont, Grégoire Lefebvre, Christophe Garcia

Proceedings of the IEEE International Conference on Acoustics, 2014

The Visual Object Tracking VOT2014 Challenge Results.

Matej Kristan, Roman P. Pflugfelder, Ales Leonardis, Jiri Matas, Luka Cehovin, Georg Nebehay, Tomás Vojír, Gustavo Fernández, Alan Lukezic, Aleksandar Dimitriev, Alfredo Petrosino, Amir Saffari, Bo Li, Bohyung Han, Cherkeng Heng, Christophe Garcia, Dominik Pangersic, Gustav Häger, Fahad Shahbaz Khan, Franci Oven, Horst Possegger, Horst Bischof, Hyeonseob Nam, Jianke Zhu, Jijia Li, Jin Young Choi, Jinwoo Choi, João F. Henriques, Joost van de Weijer, Jorge Batista, Karel Lebeda, Kristoffer Öfjäll, Kwang Moo Yi, Lei Qin, Longyin Wen, Mario Edoardo Maresca, Martin Danelljan, Michael Felsberg, Ming-Ming Cheng, Philip H. S. Torr, Qingming Huang, Richard Bowden, Sam Hare, Samantha YueYing Lim, Seunghoon Hong, Shengcai Liao, Simon Hadfield, Stan Z. Li, Stefan Duffner, Stuart Golodetz, Thomas Mauthner, Vibhav Vineet, Weiyao Lin, Yang Li, Yuankai Qi, Zhen Lei, Zhi Heng Niu

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Exploiting Contextual Motion Cues for Visual Object Tracking.

Stefan Duffner, Christophe Garcia

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

2013

Track Creation and Deletion Framework for Long-Term Online Multiface Tracking.

Stefan Duffner, Jean-Marc Odobez

IEEE Trans. Image Process., 2013

Real-Time Audio-Visual Analysis for Multiperson Videoconferencing.

Petr Motlícek, Stefan Duffner, Danil Korchagin, Hervé Bourlard, Carl Scheffler, Jean-Marc Odobez, Giovanni Del Galdo, Markus Kallinger, Oliver Thiergart

Adv. Multim., 2013

PixelTrack: A Fast Adaptive Algorithm for Tracking Non-rigid Objects.

Stefan Duffner, Christophe Garcia

Proceedings of the IEEE International Conference on Computer Vision, 2013

Unsupervised online learning of visual focus of attention.

Stefan Duffner, Christophe Garcia

Proceedings of the 10th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2013

2012

Multimodal Cue Detection Engine for Orchestrated Entertainment.

Danil Korchagin, Stefan Duffner, Petr Motlícek, Carl Scheffler

Proceedings of the Advances in Multimedia Modeling - 18th International Conference, 2012

2011

Just-in-time multimodal association and fusion from home entertainment.

Danil Korchagin, Petr Motlícek, Stefan Duffner, Hervé Bourlard

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.

Stefan Duffner, Jean-Marc Odobez

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.

Stefan Duffner, Jean-Marc Odobez, Elisa Ricci

Proceedings of the British Machine Vision Conference, 2009

2008

Face image analysis with convolutional neural networks.

Stefan Duffner

PhD thesis, 2008

Robust Face Alignment Using Convolutional Neural Networks.

Stefan Duffner, Christophe Garcia

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.

Stefan Duffner, Christophe Garcia

Proceedings of the Artificial Neural Networks, 2007

Face recognition using non-linear image reconstruction.

Stefan Duffner, Christophe Garcia

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.

Ariane Herbulot, Stéphanie Jehan-Besson, Stefan Duffner, Michel Barlaud, Gilles Aubert

J. Math. Imaging Vis., 2006

A Neural Scheme for Robust Detection of Transparent Logos in TV Programs.

Stefan Duffner, Christophe Garcia

Proceedings of the Artificial Neural Networks, 2006

2005

The 2005 PASCAL Visual Object Classes Challenge.

Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang

Proceedings of the Machine Learning Challenges, 2005