- Deep Time Series Forecasting with Shape and Temporal Criteria. [pdf].

IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 24.3), February 2022. - Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. [pdf].

Journal of Statistical Mechanics: Theory and Experiment (JSTAT) (IF: 2.23), Vol. 12, December 2021. - Confidence Estimation via Auxiliary Models. [pdf].

IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 24.3), vol. 44, no. 10, pp. 6043-6055, June 2021. - 3D Spatial Priors for Semi-Supervised Organ Segmentation with Deep ConvNets. [pdf].

International Journal of Computer Assisted Radiology and Surgery (IJCARS) (IF: 2.94), Springer 2021. - Iterative Confidence Relabeling with Deep ConvNets for Organ Segmentation with Partial Labels. [pdf]

Computerized Medical Imaging and Graphics (IF: 3.75), Volume 91, July 2021. - Distributed Optimization for Deep Learning with Gossip Exchange. [pdf] Neurocomputing (IF: 3.241), Volume 330, Pages 287-296, February 2019.
- Classifying low-resolution images by integrating privileged information in deep CNNs. [pdf] Pattern Recognition Letters (PRL) (IF: 1.952), Volume 116, Pages 29-35, December 2018.
- End-to-End Learning of Latent Deformable Part-based Representations
for Object Detection. [pdf]

International Journal of Computer Vision (IJCV) (IF: 11.541), Pages 1-21, July 2018. - SyMIL: MinMax Latent SVM for Weakly Labeled Data. [pdf]

IEEE Transactions on Neural Networks and Learning Systems (IF: 7.89), Pages 1-14, April 2018. - Exploiting Negative Evidence for Deep Latent Structured Models. [pdf]

IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 24.3), Pages 1-14, January 2018. - Gaze Latent Support Vector Machine for Image Classification Improved by Weakly Supervised Region Selection. [pdf] Pattern Recognition (PR) (IF: 3.96), Volume 72, Pages 59-71, December 2017.
- Learning a Distance Metric from Relative Comparisons between
Quadruplets of Images. [pdf]

International Journal of Computer Vision (IJCV) (IF: 11.541), Volume 121, Issue 1, pp 65-94, January 2017. - Perceptual principles for video classification with Slow Feature Analysis. [Project Page]
[pdf]

IEEE Journal of Selected Topics in Signal Processing (IF: 4.36), p. 428-437, vol 8, Ap 2014. - Learning Deep Hierarchical Visual Feature Coding. [pdf].
.

IEEE Transactions on Neural Networks and Learning Systems (IF: 7.89), p. 2212-2225, vol 12, Dec 2014. - SnooperText: A Text Detection System for Automatic Indexing of Urban Scenes. [Project Page] [pdf]

Computer Vision and Image Understanding (IF: 2.4), p. 92-104, vol 122, May 2014. - JKernelMachines: A simple framework for Kernel Machines. [mloss] [pdf].

Journal of Machine Learning Research (JMLR), track for Machine Learning Open Source Software, p. 1417-1421, vol 14, May 2013. - Extended Coding and Pooling in the HMAX Model. [Project Page] [pdf]

IEEE Transactions on Image Processing (IF: 5.071), vol 22, num 2, p. 764-777, February 2013. - Pooling in Image Representation: the Visual Codeword Point of View. [Project Page]
[pdf]

Computer Vision and Image Understanding (IF: 2.4), Special Issue on Visual Concept Detection, , vol 117, num 5, p. 453-465, May 2013. - T-HOG: an Effective Gradient-Based Descriptor for Single Line Text Regions. [Project Page] [pdf]

Pattern Recognition (PR) (IF: 3.96) , vol 46, num 3, p. 1078-1090, March 2013. - A Cognitive and Video-based Approach for Multinational License Plate Recognition.

Machine Vision and Applications (MVA) (IF: 1.306) ,

vol 22, num 2, p. 389-407, March 2011. - A Real-Time, MultiView Fall Detection System: a LHMM-Based Approach. [pdf]

IEEE Transactions on Circuits and Systems for Video Technology (IF: 3.558) , Special Issue on Event Analysis in Videos, vol 18, Issue 11, p.1522-1532, November 2008. - Learning Articulated Appearance Models for Tracking Humans: a Spectral Graph Matching Approach. [pdf]

- Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation.
[pdf]

WACV 2023. **Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction. [pdf]**

ECCV 2022.**GitHub code****Hierarchical Average Precision Training for Pertinent Image Retrieval. [pdf]**

ECCV 2022.**Diverse probabilistic trajectory forecasting with admissibility constraints. [pdf]**

ICPR 2022.**Swapping Semantic Contents for Mixing Images. [pdf]**

ICPR 2022.**Robust and Decomposable Average Precision for Image Retrieval. [pdf]**

NeurIPS 2021.**GitHub code****Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. [pdf]**

ICLR 2021 (oral).**GitHub code****Probabilistic Time Series Forecasting with Shape and Temporal Diversity. [pdf]**

NeurIPS 2020.**GitHub code****Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction. [pdf]**

CVPR 2020.**GitHub code****Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. [pdf]**

NeurIPS 2019.**GitHub code****Addressing Failure Detection by Learning Model Confidence. [pdf]**

NeurIPS 2019.**GitHub code****DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. [pdf]**

ICCV 2019.**MUREL: Multimodal Relational Reasoning for Visual Question Answering. [pdf]**

CVPR 2019.**GitHub code****BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. [pdf]. AAAI 2019.****GitHub code****Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. [pdf]**

NeurIPS 2018.**HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning. [pdf]**

ECCV 2018.**Manifold Learning in Quotient Spaces. [pdf]**

CVPR 2018.**SHADE: Information-Based Regularization for Deep Learning. [pdf]**

ICIP 2018. ICIP'18 Best Paper Award**Cross-modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. [pdf]**

SIGIR 2018.**MUTAN: Multimodal Tucker Fusion for Visual Question Answering. [pdf]**

ICCV 2017.**Deformable Part-based Fully Convolutional Network for Object Detection. [pdf]**

BMCV 2017 (oral). BMVC'17 Best Science Paper Award**WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. [pdf]. CVPR 2017.****WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. [pdf]**

CVPR 2016.**Gaze Latent Support Vector Machine for Image Classification. [pdf]**

ICIP 2016.**Max-Min convolutional neural networks for image classification. [pdf]**

ICIP 2016.**Deep Neural Netwrks Under Stress. [pdf]**

ICIP 2016.**MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. [pdf]**

ICCV 2015.**LR-CNN For Fine-grained Classification with Varying Resolution. [pdf].**

ICIP 2015.**Exemplar Based Metric Learning For Robust Visual Localization. [pdf].**

ICIP 2015.**Incremental Learning of Latent Structural SVM for Weakly Supervised Image Classification. [pdf]. ICIP 2014, Paris, France, 27-30 Oct 2014.****Semantic Pooling for Image Categorization using Multiple Kernel Learning. [pdf]**

ICIP 2014, Paris, France, 27-30 Oct 2014.**Fantope Regularization in Metric Learning. [pdf]- [Project Page]**

CVPR 2014, Columbus, Ohio, USA, 24-27 June 2014.**Sequentially Generated Instance-Dependent Image Representations for Classification. [pdf]**

ICLR 2014, Banff, Canada, 14-16 April 2014.**Top-Down Regularization of Deep Belief Networks. [pdf]**

NIPS 2013, p 1878-1886, Lake Tahoe, Nevada, USA, 5-8 December 2013.**Quadruplet-wise Image Similarity Learning. [pdf] [Project Page]**

ICCV 2013 , Sydney, Australia, 3-6 December 2013.**Image Classification using Object Detectors. [pdf]**

ICIP 2013, p. 4340-4344, Melbourne, Australia, 15-18 Sep 2013.**Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis. [pdf] CVPR 2013, p 2603-2610, Portland, OR, USA, 23-28 June 2013.****Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. [pdf]**

ECCV 2012, p 298-311, Firenze, Italy, 7-13 Oct 2012.**Structural and visual comparisons for Web page archiving. [pdf]**

DocEng 2012.**Contextual Detection of drawn Symbols in old Maps. [pdf]**

ICIP 2012, p 837-840, Orlando, USA, 2012.**BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task. [pdf]**

CLEF 2012.**Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm [pdf]**

ESANN 2012.**Classification of Urban Scenes from Georeferenced Images in Urban Street-View Context**

ICMLA 2012.**HMAX-S: Deep scale representation for biologically inspired image categorization. [pdf]**

ICIP 2011, p 1261-1264, Brussels, 11-14 Sep 2011.**BOSSA: extended BoW formalism for image classification. [pdf]**

ICIP 2011, p 2909-2912, ISBN: 978-1-4673-0062-9, Brussels, 11-14 Sep 2011.**SnooperTrack: Text Detection and Tracking for Outdoor Videos. [pdf]**

ICIP 2011, p 505-508, ISBN: 978-1-4577-1304-0, Brussels, 11-14 Sep 2011.**Learning Invariant Color Features with Sparse Topographic RBM. [pdf]**

ICIP 2011., p 1241-1244, Brussels, 11-14 Sep 2011.**Efficient Bag-of-Feature kernel representation for image similarity search. [pdf]**

ICIP 2011.p 109-112, Brussels, 11-14 Sep 2011.**Pedestrian head detection and tracking using graph skeleton for people counting in crowded environments. [pdf] MVA 2011.****People counting using skeleton graph and tracking.**

SIPA 2011, Crete, Greece, 2011.**An efficient System for combining complementary kernels in complex visual categorization tasks. [pdf]**

ICIP 2010 , p 3877-3880, Hong-Kong, 26-29 Sep 2010.**SnooperText: A Multiresolution System for Text Detection in Complex Visual Scenes. [pdf]**

ICIP 2010, p 3861-3864, Hong-Kong, 26-29 Sep 2010.**Fast People Counting using Head Detection from Skeleton Graph. [pdf]**

AVSS 2010, pp.233-240, Boston, 29 august-1 september 2010.**A Bottom/Up, View Point Invariant Human Detector. [pdf]**

ICPR 2008, p. 1-4, Tampa, Florida, December 8-11 2008.**A Combined Statistical-Structural Strategy for Alphanumeric Recognition. [pdf]**

ISVC 2007, p. 529-538 Lake Tahoe, Nevada, California, November 26--28 2007.**A HHMM-Based Approach for Robust Fall Detection. [pdf]**

**Human Body Part Labeling and Tracking Using Graph Matching Theory. [pdf]**

**A Robust Appearance Model for Tracking Human Motions. [pdf]**

- Residual Model-Based Reinforcement Learning for Physical Dynamics. [pdf]

3rd Offline RL Workshop: Offline RL as a "Launchpad", NeurIPS 2022. - Memory transformers for full context and high-resolution 3D Medical Segmentation. [pdf]

Machine Learning in Medical Imaging (MLMI) workshop, MICCAI 2022. - Adapting Multi-Input Multi-Output schemes to Vision Transformers. [pdf]

Workshop on Efficient Deep Learning for Computer Vision (ECV), CVPR 2022. - Towards efficient feature sharing in MIMO architectures. [pdf]

Workshop on Transformers and Attention for vision (T4V), CVPR 2022. - U-Net Transformer: Self and Cross Attention for
Medical Image Segmentation. [pdf]

Machine Learning in Medical Imaging (MLMI) workshop, MICCAI 2021. - Beyond First-Order Uncertainty Estimation with Evidential Models for Open-World Recognition. [pdf]

workshop on Uncertainty and Robustness in Deep Learning, ICML 2021. - Semantic Augmentation with Self-Supervised Content Mixing for Semi-Supervised Learning. [pdf]

Workshop on Self-Supervised Learning, Theory and Practice, NeurIPS 2020. - A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. [pdf]

CVPR OMNI-CV workshop, 2020. - Prévision de l'irradiance solaire par réseaux de neurones profonds à l'aide de caméras au sol. [pdf]

GTETSI, XXVIIème Colloque francophonede traitement du signal et des images, Lille, 26-29 Aout 2019. - Biasing Deep ConvNets for Semantic Segmentation of Medical Images with a Prior-driven Prediction Function. [pdf]. Extended abstract in MIDL, London, 8-10 July 2019.
- Multitask Classification and Segmentation for Cancer Diagnosis in Mammograph. [pdf]. Extended abstract in MIDL, London, 8-10 July 2019.
- Handling Missing Annotations for Semantic Segmentation with Deep ConvNets. [pdf]

4th Workshop on Deep Learning in Medical Image Analysis, MICCAI 2018. - Fully Convolutional Neural Network for accurate segmentation in CT Data. [pdf]

Women in Machine Learning Workshop, NIPS 2017. - M2CAI Challenge: Convolutional Neural Networks for Video Frames Classification.
[pdf] - [poster]

. M2CAI Workshop, Workflow Challenge, MICCAI 2016. - Low resolution convolutional neural network for automatic target recognition.

In 7th International Symposium on Optronics in Defence and Security, 2016. - Recipe Recognition with Large Multimodal Food Dataset.
[pdf]

Workshop on Cooking and Eating Activities, ICME 2015. - Absolute geo-localization thanks to Hidden Markov Model and exemplar-based
metric learning. [pdf]

Workshop on Computer Vision in Vehicle Technology, CVPR 2015. - Hybrid Pooling Fusion in the BoW Pipeline.
[pdf]

Workshop on Information fusion in computer vision for concept recognition, ECCV 2012. - Structural and Visual Similarity Learning for Web Page Archiving. [pdf]

10th workshop on Content-Based Multimedia Indexing, CBMI 2012. - Text Detection and Recognition in Urban Scenes. [pdf]

CVRS workshop - ICCV 2011. - Combining complementary kernels in complex visual categorization. [poster][abstract]

KDCV workshop - ICCV 2011, Barcelona, 6-13 Nov 2011. - Biasing Restricted Boltzmann Machines to Manipulate Latent Selectivity and Sparsity. [pdf] [Supplementary] NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, p 1-8, Vancouver, Canada, 2010.

- Beyond full supervision in deep learning [chapter]

Multi-faceted Deep Learning: Models and Data, Springer, 2021. - Cortical Networks of Visual Recognition

Biologically-inspired Computer Vision: Fundamentals and Applications, 2015. - Bag of Words Image Representation: Key Ideas and Further Insight

Fusion in Computer Vision - Understanding Complex Visual Content, 2014.

Representations & Learning for Semantic Annotation of
Visual Data [manuscript] - [slides] , 1st July 2015.

Hierarchical Representations for Shape Recognition,
People Identification and Motion Analysis in Image Sequences, 11 July 2007.