Deep metric learning, virtual classes, hard example generation
Deep metric learning, regularizer, high-order pooling
Deep metric learning, dictionary learning, attention model
Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein, "DIABLO: Dictionary-based attention block for deep metric learning", Pattern Recognition Letters 2020. [Paper]
Pierre Jacob, David Picard, Aymeric Histace, "Improving Deep Metric Learning with Virtual Classes and Examples Mining", ICIP 2022. [Paper]
Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein, "Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings", IEEE International Conference on Computer Vision (ICCV) 2019. [Paper] [Code]
Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein, "Efficient Codebook and Factorization for Second Order Representation Learning", IEEE International Conference on Image Processing (ICIP) 2019. [paper]
Gaetan Raynaud, Pierre Jacob, Camille Simon-Chane, Aymeric Histace, "Active Contour Segmentation Based on Histograms and Dictionary Learning for Videocapsule Image Analysis", 14th International Conference on Computer Vision Theory and Applications (VISAPP) 2019. [paper]
Marc Souchaud, Pierre Jacob, Camille Simon-Chane, Aymeric Histace, Olivier Romain, Maurice Tchuenté, Denis Sereno, "Mobile Phones Hematophagous Diptera Surveillance in the field using Deep Learning and Wing Interference Patterns", IFIP/IEEE International Conference on Very Large Scale Integration (VLSI-SoC) 2018. [paper]
Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein, "Leveraging Implicit Spatial Information In Global Features For Image Retrieval", IEEE International Conference on Image Processing (ICIP) 2018. [paper]
Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein, "Metric Learning With HORDE: High-Order Regularizer for Deep Embeddings", WILLOW-ENPC-Berkeley Workshop on Vision and Robotics.
Pierre Jacob, David Picard, Aymeric Histace, Edouard Klein, "Fine Grain Image Annotation for Large Scale Databases", Journée des doctorants (JDD) du laboratoire ETIS 2019. Best Poster Award.[poster]
Arnaud Cannet, Camille Simon-Chane, Mohammad Akhoundi, Aymeric Histace, Olivier Romain, Marc Souchaud, Pierre Jacob, Pascal Delaunay, Darian Sereno, Philippe Bousses, Pascal Grebaut, Anne Geiger, Chantel de Beer, Dramane Kaba, Denis Sereno, "Wing Interferential Patterns (WIPs) and machine learning, a step toward automatized tsetse (Glossina spp.) identification", Nature Scientific Reports 2022. [Paper]
Romain Leenhardt, Pauline Vasseur, Cynthia Li, Jean Christophe Saurin, Gabriel Rahmi, Franck Cholet, Aymeric Becq, Philippe Marteau, Aymeric Histace, Xavier Dray, Sylvie Sacher-Huvelin, Farida Mesli, Chloé Leandri, Isabelle Nion-Larmurier, Stéphane Lecleire, Romain Gerard, Clotilde Duburque, Geoffroy Vanbiervliet, Xavier Amiot, Jean Philippe Le Mouel, Michel Delvaux, Pierre Jacob, Camille Simon-Chane, Olivier Romain, "A neural network algorithm for detection of GI angiectasia during small-bowel capsule endoscopy", Gastrointestinal endoscopy 2019. [paper]