Publications
International Journals
- Vision and Structured-Language Pretraining for Cross-Modal Food Retrieval. [pdf].
M. Shukor, N. Thome, M. Cord. Computer Vision and Image Understanding (CVIU), 2024.
- ITEM: Improving Training and Evaluation of Message-Passing based GNNs for top-k recommendation. [pdf].
Y. Karmim, E. Ramzi, R. Fournier, N. Thome. Transactions on Machine Learning Research (TLMLR), 2024.
- VidEdit: Zero-Shot and Spatially Aware Text-Driven Video Editing. [pdf]-[page].
P. Couairon, C. Rambour, J.E. Haugeard, N. Thome. Transactions on Machine Learning Research (TLMLR), 2024.
- Global Registration of Kidneys in 3D Ultrasound and CT images. [pdf].
W. Ndzimbong, N. Thome, C. Fourniol, Y. Keeza, B. Sauer, J. Marescaux, D. George, A. Hostettler, T. Collins. IJCARS (IF: 3), 2024.
- MERLIN-Seg: self-supervised despeckling for label-efficient semantic segmentation. [pdf]
E. Dalsasso, C. Rambour, N. Trouvé, N. Thome. Computer Vision and Image Understanding (CVIU, IF: 4.5), 2024.
- Semantic Augmentation by Mixing Contents for Semi-Supervised Learning. [pdf]
R. Sun, C. Masson, G. Hénaff, N. Thome, M. Cord. Pattern Recognition (IF: 8.5), Vol 145, January 2024.
- Multivariate emulation of kilometer-scale numerical weather predictions with gans. [pdf]
C. Brochet, L. Rayanud, N. Thome, M. Plu, C. Rambour. Artificial Intelligence for the Earth Systems (AIES), 2023, to appear.
- Deep Time Series Forecasting with Shape and Temporal Criteria. [pdf].
V. Le Guen, N. Thome.
IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 24.3), vol. 45, no. 1, pp. 342-355, Jan. 2023.
- Confidence Estimation via Auxiliary Models. [pdf]. C. Corbière, N. Thome, A. Saporta, T-H. Vu, M. Cord, P. Pérez.
IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 24.3), vol. 44, no. 10, pp. 6043-6055, Oct. 2022.
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting. [pdf].
Y. Yin, V. Le Guen, J. Dona, I. Ayed, E. de Bezenac, N. Thome, P. Gallinari.
JSTAT (IF: 2.23), Vol. 12, December 2021.
- 3D Spatial Priors for Semi-Supervised Organ Segmentation with Deep ConvNets. [pdf].
O. Petit, N. Thome, Luc Soler.
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]
O. Petit, N. Thome, L. Soler.
Computerized Medical Imaging and Graphics (IF: 3.75), Volume 91, July 2021.
- End-to-End Learning of Latent Deformable Part-based Representations
for Object Detection. [pdf]
T. Mordan, N. Thome, G. Henaff, M. Cord.
International Journal of Computer Vision (IJCV) (IF: 11.541), Pages 1-21, December 2019.
- Exploiting Negative Evidence for Deep Latent Structured Models. [pdf]
T. Durand, N. Thome, M. Cord. IEEE Transactions on Pattern Analysis and Machine Intelligence (IF: 24.3), Pages 1-14, February 2019.
- Distributed Optimization for Deep Learning with Gossip Exchange. [pdf]
M. Blot, D. Picard, N. Thome, M. Cord.
Neurocomputing (IF: 3.241), Volume 330, Pages 287-296, February 2019.
- SyMIL: MinMax Latent SVM for Weakly Labeled Data. [pdf]
T. Durand, N. Thome, M. Cord.
IEEE Transactions on Neural Networks and Learning Systems (IF: 7.89), Pages 1-14, December 2018.
- Classifying low-resolution images by integrating privileged information in deep CNNs. [pdf]
M. Chevalier, N. Thome, G. Henaff, M. Cord.
Pattern Recognition Letters (PRL) (IF: 1.952), Volume 116, Pages 29-35, December 2018.
- Gaze Latent Support Vector Machine for Image Classification Improved by Weakly Supervised Region Selection. [pdf] X. Wang, N. Thome, M. Cord. 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]
M. Law, N. Thome, M. Cord. 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]
C. Thériault, N. Thome, M. Cord, P. Pérez. 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].
H. Goh, N. Thome, M. Cord, J.H. Lim.
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]
R. Minetto, N. Thome, M. Cord, N. Leite, J. Stolfi. Computer Vision and Image Understanding (IF: 2.4), p. 92-104, vol 122, May 2014.
- JKernelMachines: A simple framework for Kernel Machines. [mloss] [pdf].
D. Picard, N. Thome and M. Cord.
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]
C. Theriault, N. Thome and M. Cord. 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]
S. Avila, N. Thome, M. Cord, E. Valle and A. Araujo. 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]
R. Minetto, N. Thome, M. Cord, N. Leite, J. Stolfi. 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.
N. Thome, A. Vacavant, L. Robinault, S. Miguet. 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]
N. Thome, S. Miguet, Sébastien Ambellouis. 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]
N. Thome, D. Mérad, S. Miguet. Signal Processing: Image Communication
(IF: 2.073) , vol. 23, issue 10,
p.769-787, December 2008.
International Conferences
- Supra-Laplacian Encoding for Transformer on Dynamic Graphs. [pdf]
Y. Karmim, R. Fournier, N. Thome. NeurIPS 2024.
- Zero-Shot Image Segmentation via Recursive Normalized Cut on Diffusion Features. [pdf]
P. Couairon, M. Shukor, J.E. Haugeard, M. Cord, N. Thome. NeurIPS 2024.
- GalLoP: Learning Global and Local Prompts for Vision-Language Models. [pdf]
M. Lafon, E. Ramzi, C. Rambour, N. Audebert, N. Thome. ECCV 2024.
- Physics-Informed Model and Hybrid Planning for Efficient Dyna-Style Reinforcement Learning. [pdf]
Z. El Asri, O. Sigaud, N. Thome. RLC 2024.
- Hybrid Energy Based Model in the Feature Space for Out-of-Distribution Detection. [pdf]
M. Lafon, E. Ramzi, C. Rambour, N. Thome. ICML 2023.
- Large-scale Learning of Turbulent Fluid Dynamics with Mesh Transformers.
[pdf]- [demo-page]
S. Janny, A. Bénéteau, M. Nadri, J. Digne, N. Thome, C. Wolf. ICLR 2023.
- Full Contextual Attention for Multi-resolution Transformers in Semantic Segmentation.
[pdf]
L. Themyr, C. Rambour, N. Thome, T. Collins, A. Hostettler. WACV 2023.
- Complementing Brightness Constancy with Deep Networks for Optical Flow Prediction.
[pdf]
V. Le Guen, C. Rambour, N. Thome. ECCV 2022. GitHub code
- Hierarchical Average Precision Training for Pertinent Image Retrieval.
[pdf]
E. Ramzi, N. Audebert, N. Thome, C. Rambour, X. Bitot. ECCV 2022. GitHub code
- Diverse probabilistic trajectory forecasting with admissibility constraints.
[pdf]
L. Calem, H. Ben Younes, N. Thome, P. Pérez. ICPR 2022.
- Swapping Semantic Contents for Mixing Images.
[pdf]
R. Sun, C. Masson, G. Hénaff, N. Thome, M. Cord. ICPR 2022.
- Robust and Decomposable Average Precision for Image Retrieval.
[pdf]
E. Ramzi, N. Thome, C. Rambour, N. Audebert, X. Bitot.
NeurIPS 2021. GitHub code
- Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting.
[pdf]
Y. Yin, V. Le Guen, J. Dona, I. Ayed, E. de Bezenac, N. Thome, P. Gallinari.
ICLR 2021 (oral). GitHub code
- Probabilistic Time Series Forecasting with Shape and Temporal Diversity.
[pdf]
V. Le Guen, N. Thome. NeurIPS 2020. GitHub code
- Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction.
[pdf]
V. Le Guen, N. Thome. CVPR 2020. GitHub code
- Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models. [pdf]
V. Le Guen, N. Thome. NeurIPS 2019. GitHub code
- Addressing Failure Detection by Learning Model Confidence. [pdf]
C. Corbière, N. Thome, A. Bar-Hen, M. Cord, P. Pérez. NeurIPS 2019. GitHub code
- DiscoNet: Shapes Learning on Disconnected Manifolds for 3D Editing. [pdf]
E. Mehr, A. Jourdan, N. Thome, M. Cord, V. Guitteny. ICCV 2019.
- MUREL: Multimodal Relational Reasoning for Visual Question Answering. [pdf]
H. Ben-younes, R. Cadene, M. Cord, N. Thome.
CVPR 2019. GitHub code
- BLOCK: Bilinear Superdiagonal Fusion for Visual Question Answering and Visual Relationship Detection. [pdf]. H. Ben-younes, R. Cadene, N. Thome, M. Cord.
AAAI 2019. GitHub code
- Revisiting Multi-Task Learning with ROCK: a Deep Residual Auxiliary Block for Visual Detection. [pdf]
T. Mordan, N. Thome, G. Henaff, M. Cord.
NeurIPS 2018.
- HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning. [pdf]
T. Robert, N. Thome, M. Cord. ECCV 2018.
- Manifold Learning in Quotient Spaces. [pdf]
E. Mehr, A. Lieutier, F. Sanchez, N. Thome, M. Cord, V. Guitteny. CVPR 2018.
- SHADE: Information-Based Regularization for Deep Learning. [pdf]
M. Blot, T. Robert, N. Thome, M. Cord. ICIP 2018. ICIP'18 Best Paper Award
- Cross-modal Retrieval in the Cooking Context: Learning Semantic Text-Image Embeddings. [pdf]
M. Carvalho, R. Cadene, D. Picard, L. Soulier, N. Thome, M. Cord. SIGIR 2018.
- MUTAN: Multimodal Tucker Fusion for Visual Question Answering. [pdf]
H. Ben-younes, R. Cadene, M. Cord, N. Thome. ICCV 2017.
- Deformable Part-based Fully Convolutional
Network for Object Detection. [pdf]
T. Mordan, N. Thome, M. Cord, G. Henaff. BMCV 2017 (oral). BMVC'17 Best Science Paper Award
- WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation. [pdf].
T. Durand, T.Mordan, N. Thome, M. Cord. CVPR 2017.
- WELDON: Weakly Supervised Learning of Deep Convolutional Neural Networks. [pdf]
T. Durand, N. Thome, M. Cord. CVPR 2016.
- Gaze Latent Support Vector Machine for Image Classification. [pdf]
X. Wang, N. Thome, M. Cord. ICIP 2016.
- Max-Min convolutional neural networks for image classification. [pdf]
M. Blot, N. Thome, M. Cord. ICIP 2016.
- Deep Neural Netwrks Under Stress. [pdf]
M. Carvalho, M. Cord, S. Avila, N. Thome, E. Valle. ICIP 2016.
- MANTRA: Minimum Maximum Latent Structural SVM for Image Classification and Ranking. [pdf]
T. Durand, N. Thome, M. Cord. ICCV 2015.
- LR-CNN For Fine-grained Classification with Varying Resolution. [pdf].
M. Chevalier, N. Thome, M. Cord, J. Fournier, G. Henaff and E. Dusch. ICIP 2015.
- Exemplar Based Metric Learning For Robust Visual Localization. [pdf].
C. Le Barz, N. Thome, M. Cord, M. Sanfourche and S. Herbin. ICIP 2015.
- Incremental Learning of Latent Structural SVM for Weakly Supervised Image Classification. [pdf].
T. Durand, N. Thome, M. Cord. ICIP 2014, Paris, France, 27-30 Oct 2014.
- Semantic Pooling for Image Categorization using Multiple Kernel Learning. [pdf]
T. Durand, D. Picard, N. Thome, M. Cord. ICIP 2014, Paris, France, 27-30 Oct 2014.
- Fantope Regularization in Metric Learning. [pdf]- [Project Page]
M. Law, N. Thome, M. Cord. CVPR 2014, Columbus, Ohio, USA, 24-27 June 2014.
- Sequentially Generated Instance-Dependent Image Representations for Classification. [pdf]
G. Dulac-Arnold, L. Denoyer, N. Thome, M. Cord, P. Gallinari. ICLR 2014, Banff, Canada, 14-16 April 2014.
- Top-Down Regularization of Deep Belief Networks. [pdf]
H. Goh, N. Thome, M. Cord, J.H. Lim. NIPS 2013, p 1878-1886, Lake Tahoe, Nevada, USA, 5-8 December 2013.
- Quadruplet-wise Image Similarity Learning. [pdf]
[Project Page]
M. Law, N. Thome, M. Cord. ICCV 2013 , Sydney, Australia, 3-6 December 2013.
- Image Classification using Object Detectors. [pdf]
T. Durand, N. Thome, M. Cord, S. Avila. ICIP 2013, p. 4340-4344, Melbourne, Australia, 15-18 Sep 2013.
- Dynamic Scene Classification: Learning Motion Descriptors with Slow Features Analysis. [pdf]
C. Theriault, N. Thome, M. Cord. CVPR 2013, p 2603-2610, Portland, OR, USA, 23-28 June 2013.
- Unsupervised and Supervised Visual Codes with Restricted Boltzmann Machines. [pdf]
H. Goh, N. Thome, M. Cord, J.H. Lim. ECCV 2012, p 298-311, Firenze, Italy, 7-13 Oct 2012.
- Structural and visual comparisons for Web page archiving. [pdf]
M. Law, N. Thome, M. Cord, S. Gancarski. DocEng 2012.
- Contextual Detection of drawn Symbols in old Maps. [pdf]
J. Guyomard, N. Thome, M. Cord, T. Artières. ICIP 2012, p 837-840, Orlando, USA, 2012.
- BossaNova at ImageCLEF 2012 Flickr Photo Annotation Task. [pdf]
S. Avila, N. Thome, M. Cord, E. Valle, A. Araùjo.
CLEF 2012.
- Learning geometric combinations of Gaussian kernels with alternating Quasi-Newton algorithm [pdf]
D. Picard, N. Thome, M. Cord, A. Rakotomamonjy. ESANN 2012.
- Classification of Urban Scenes from Georeferenced Images in Urban Street-View Context
C. Iovan, D. Picard, N. Thome, M. Cord. ICMLA 2012.
- HMAX-S: Deep scale representation for biologically inspired image categorization. [pdf]
C. Theriault, N. Thome, M. Cord. ICIP 2011, p 1261-1264, Brussels, 11-14 Sep 2011.
- BOSSA: extended BoW formalism for image classification. [pdf]
S. Avila, N. Thome, M. Cord, E. Valle, A. de Albuquerque. 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]
R. Minetto, N. Thome, M. Cord, N. Leite, J. Stolfi. 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]
H. Goh, L. Kusmierz, J.H. Lim, N. Thome, M. Cord. ICIP 2011., p 1241-1244, Brussels, 11-14 Sep 2011.
- Efficient Bag-of-Feature kernel representation for image similarity search. [pdf]
F. Precioso, M. Cord, D. Gorisse, N. Thome. 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]
K.E. Aziz, D. Merad, N. Thome,
B. Fertil. MVA 2011.
- People counting using skeleton graph and tracking.
K.E. Aziz, D. Merad, N. Thome,
B. Fertil. SIPA 2011, Crete, Greece, 2011.
- An efficient System for combining complementary kernels in complex visual categorization tasks.
[pdf]
D. Picard, N. Thome, M. Cord. ICIP 2010 , p 3877-3880, Hong-Kong, 26-29 Sep 2010.
- SnooperText: A Multiresolution System for Text Detection in Complex Visual Scenes. [pdf]
R. Minetto, N. Thome, M. Cord, J. Fabrizio, B. Marcotegui. ICIP 2010, p 3861-3864, Hong-Kong, 26-29 Sep 2010.
- Fast People Counting using Head Detection from Skeleton Graph. [pdf]
D. Merad, K.E. Aziz, N. Thome.
AVSS 2010, pp.233-240, Boston, 29 august-1 september 2010.
- A Bottom/Up, View Point Invariant Human Detector. [pdf]
N. Thome and Sébastien Ambellouis. ICPR 2008, p. 1-4,
Tampa, Florida, December 8-11 2008.
- A Combined Statistical-Structural Strategy for Alphanumeric Recognition. [pdf]
N. Thome and Antoine Vacavant. ISVC 2007, p. 529-538
Lake Tahoe, Nevada, California, November 26--28 2007.
- A HHMM-Based Approach for Robust Fall Detection. [pdf]
N. Thome and Serge Miguet. ICARCV 2006, P. 1-8, Singapore, 4-9 december 2006.
- Human Body Part Labeling and Tracking Using Graph Matching Theory. [pdf]
N. Thome, Djamel Mérad and Serge Miguet. AVSS 2006 , p. 38-43, Sydney, 21-24 november 2006.
- A Robust Appearance Model for Tracking Human Motions. [pdf]
N. Thome and Serge Miguet. AVSS 2005, p. 528-533, Como, 15-16 september 2005. Best Paper Award.
International Workshops
- Temporal receptive field in dynamic graph learning: a comprehensive analysis
. [pdf]
Y. Karmim, L. Yang, R. Fournier, N. Thome, C. Chatelain, S. Adam. Workshop on Mining and Learning with Graphs, ECML PKDD 2024.
- Residual Model-Based Reinforcement Learning for Physical Dynamics. [pdf]
Z. El Asri, C. Rambour, V. Le Guen, N. Thome. 3rd Offline RL Workshop: Offline RL as a "Launchpad", NeurIPS 2022.
- Memory transformers for full context and high-resolution 3D Medical Segmentation. [pdf]
L. Themyr, C. Rambour, N. Thome, T. Collins, A. Hostettler. Machine Learning in Medical Imaging (MLMI) workshop, MICCAI 2022.
- Adapting Multi-Input Multi-Output schemes to Vision Transformers. [pdf]
R. Sun,C. Masson, N. Thome, M. Cord. Workshop on Efficient Deep Learning for Computer Vision (ECV), CVPR 2022.
- Towards efficient feature sharing in MIMO architectures. [pdf]
R. Sun, A. Ramé, C. Masson, N. Thome, M. Cord. Workshop on Transformers and Attention for vision (T4V), CVPR 2022.
- U-Net Transformer: Self and Cross Attention for
Medical Image Segmentation. [pdf]
O. Petit, N. Thome, C. Rambour, L. Themyr, T. Collins, L. Soler. Machine Learning in Medical Imaging (MLMI) workshop, MICCAI 2021.
- Beyond First-Order Uncertainty Estimation with Evidential Models for Open-World Recognition. [pdf]
C. Corbière, M. Lafon, N. Thome, M. Cord, P. Pérez. workshop on Uncertainty and Robustness in Deep Learning, ICML 2021.
- Semantic Augmentation with Self-Supervised Content Mixing for Semi-Supervised Learning. [pdf]
R. Sun, C. Masson, G. Hénaff, N. Thome, M. Cord. Workshop on Self-Supervised Learning, Theory and Practice, NeurIPS 2020.
- A Deep Physical Model for Solar Irradiance Forecasting with Fisheye Images. [pdf]
V. Le Guen, N. Thome. CVPR OMNI-CV workshop, 2020.
- Prévision de l'irradiance solaire par réseaux de neurones profonds à l'aide de caméras au sol. [pdf]
V. Le Guen, N. Thome. 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].
O. Petit, N. Thome, L. Soler. Extended abstract in MIDL, London, 8-10 July 2019.
- Multitask Classification and Segmentation for Cancer Diagnosis in Mammograph. [pdf].
T. Le, N. Thome, S. Bernard, V. Bismuth, F. Patoureaux. Extended abstract in MIDL, London, 8-10 July 2019.
- Handling Missing Annotations for Semantic Segmentation with Deep ConvNets. [pdf]
O. Petit, N. Thome, A. Charnoz, A. Hostettler, L. Soler. 4th Workshop on Deep Learning in Medical Image Analysis, MICCAI 2018.
- Fully Convolutional Neural Network for accurate segmentation in CT Data. [pdf]
B. Radharapu, N. Thome. Women in Machine Learning Workshop, NIPS 2017.
- M2CAI Challenge: Convolutional Neural Networks for Video Frames Classification.
[pdf] - [poster]
R. Cadene, T. Robert, N. Thome, M. Cord. . M2CAI Workshop, Workflow Challenge, MICCAI 2016.
- Low resolution convolutional neural network for automatic target recognition.
M. Chevalier, N.home, M. Cord, G. Henaff, and E. Dusch. In 7th International Symposium on Optronics in Defence and Security, 2016.
- Recipe Recognition with Large Multimodal Food Dataset.
[pdf]
X. Wang, D. Kumar, N. Thome, M. Cord, F. Precioso. Workshop on Cooking and Eating Activities, ICME 2015.
- Absolute geo-localization thanks to Hidden Markov Model and exemplar-based
metric learning. [pdf]
C. Le Barz, N. Thome, M. Cord, Martial Sanfourche and S. Herbin. Workshop on Computer Vision in Vehicle Technology, CVPR 2015.
- Hybrid Pooling Fusion in the BoW Pipeline.
[pdf]
M. Law, N. Thome, and M. Cord. Workshop on Information fusion in computer vision for concept recognition, ECCV 2012.
- Structural and Visual Similarity Learning for Web Page Archiving. [pdf]
M. Law, C. Sureda, N. Thome, S. Gancarski and M. Cord. 10th workshop on Content-Based Multimedia Indexing,
CBMI 2012.
- Text Detection and Recognition in Urban Scenes. [pdf]
R. Minetto, N. Thome, M. Cord, J. Stolfi, F. Precioso, J. Guyomard, N.J Leite. CVRS workshop - ICCV 2011.
- Combining complementary kernels in complex visual categorization. [poster][abstract]
N. Thome, M. Cord and D. Picard. KDCV workshop - ICCV 2011, Barcelona, 6-13 Nov 2011.
- Biasing Restricted Boltzmann Machines to Manipulate Latent Selectivity and Sparsity. [pdf] [Supplementary]
H. Goh, N. Thome, M. Cord. NIPS 2010 Workshop on Deep Learning and Unsupervised Feature Learning, p 1-8, Vancouver, Canada, 2010.
Book Chapters