Matthieu Cord
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| Corbiere C, Thome N, Saporta A, et al. (2021) Confidence Estimation via Auxiliary Models. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Chen Y, Dapogny A, Cord M. (2020) SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss Pattern Recognition. 108: 107557 |
| Blot M, Picard D, Thome N, et al. (2019) Distributed optimization for deep learning with gossip exchange Neurocomputing. 330: 287-296 |
| Mordan T, Thome N, Henaff G, et al. (2019) End-to-End Learning of Latent Deformable Part-Based Representations for Object Detection International Journal of Computer Vision. 127: 1659-1679 |
| Durand T, Thome N, Cord M. (2018) SyMIL: MinMax Latent SVM for Weakly Labeled Data. Ieee Transactions On Neural Networks and Learning Systems |
| Durand T, Thome N, Cord M. (2018) Exploiting Negative Evidence for Deep Latent Structured Models. Ieee Transactions On Pattern Analysis and Machine Intelligence |
| Chevalier M, Thome N, Hénaff G, et al. (2018) Classifying low-resolution images by integrating privileged information in deep CNNs Pattern Recognition Letters. 116: 29-35 |
| Wang X, Thome N, Cord M. (2017) Gaze latent support vector machine for image classification improved by weakly supervised region selection Pattern Recognition. 72: 59-71 |
| Law MT, Thome N, Cord M. (2017) Learning a Distance Metric from Relative Comparisons between Quadruplets of Images International Journal of Computer Vision. 121: 65-94 |
| Goh H, Thome N, Cord M, et al. (2014) Learning deep hierarchical visual feature coding. Ieee Transactions On Neural Networks and Learning Systems. 25: 2212-25 |