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Coming Soon

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Past Presentations

• 22/02/2021, Exploiting multi-temporal information for improved speckle reduction of Sentinel-1 SAR images by deep learning, Emanuele Dalsasso and Ines Meraoumia

• 08/02/2021, Synthetic images as a regularity prior for image restoration neural networks, Raphaël Achddou

• 09/11/2020, Automatic size and pose homogenization with spatial transformer network to improve and accelerate pediatric segmentation, Giammarco La Barbera

• 02/11/2020, Image colorization using adversarial learning and semantic information, Lara Raad

• 19/10/2020, Analyzing Convolutional Neural Networks transferred to artistic images, Nicolas Gonthier

• 12/10/2020, Capsule Networks, Riccardo Renzulli

• 05/10/2020, Deep Video Editing, Xu Yao

• 08/06/2020, Feature Visualisation, Nicolas Gonthier

• 25/05/2020, Non local CNN approaches for Image Denoising : a review, Raphaël Achddou

• 11/05/2020, CA-GAN: Weakly Supervised Color Aware GAN for Controllable Makeup Transfer, Robin Kips

• 27/04/2020, CARRADA Dataset: Camera and Automotive Radar with Range-Angle-Doppler Annotations., Arthur Ouaknine

• 06/04/2020, Can Diffeomorphic-Spatial Transformer Networks help in Transfer Learning?, Giammarco La Barbera

• 30/03/2020, Knowledge distillation from multi-modal to mono-modal segmentation networks., Matthis Maillard

• 24/02/2020, River detection through deep learning. PDF1, PDF2, Emanuele Dalsasso

• 10/02/2020, Formal verification of robustness properties in deep learning programs, Julien Girard

• 11/2019, The power of the amount of data you have, Nicolas Gonthier

• 25/11/2019, Nested Learning for Multi-Granular Tasks, Raphaël Achddou

• 26/09/2019, WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation, Nicolas Gonthier

• 20/06/2019, Training CNNs on speckled optical dataset for edge detection in SAR images, Chenguang Liu

• 13/06/2019, Deep Learning Interpretability, Vincent Couteaux

• 23/05/2019, A Primer on Graph Neural Networks, Mateus Riva

• 16/05/2019, Learning and Adapting Robust Features for Satellite Image Segmentation on Heterogeneous Datasets, Sina Ghassemi, Attilio Fiandrotti

• 11/04/2019, Macrocanonical Models for Texture Synthesis, Valentin De Bortoli

• 03/2019, Texture Synthesis with CNN and Long range dependancy, Nicolas Gonthier

• 21/03/2019, PolSAR Image Despeckling: Could We Use SPDNet to Solve It?, Xiangli Yang

• 8/03/2019, SAR Image denoising by Deep Neural Networks, Emanuele Dalsasso

• 21/02/2019, Robust segmentation of corpus callosum in multi-scanner pediatric t1-w mri using transfer learning, Giammarco La Barbera

• 14/02/2019, State of the art Segmentation with Deep Learning, Arthur Ouaknine

• 4/02/2019, Master Thesis presentation : Photorealistic Style Transfer with GANs, Xu Yao

• 24/01/2019, Sales catalog segmentation, Raphaël Barman

• 18/10/2018, 10 A.M., C06, Texture Synthesis with Deep Learning, Nicolas Gonthier

• 5/10/2018, 10 A.M., C45, Classification and Disease Localization in Histopathology Using Only Global Labels: A Weakly-Supervised Approach, Antoine Pirovano

• 27/09/18, Morphological Multi-scale Decomposition and efficient representations with Auto-Encoders, Bastien Ponchon

• 13/09/18, Deep Learning for medical image analysis, Antoine Pirovano

• 5/07/18, Réseaux de neurones 30 ans avant - Journée Recherche IDS 2018, Jean-Marie Nicolas

• 5/07/18, Introduction to Transfer Learning - Research Day IDS, Nicolas Gonthier and Hadrien Bertrand

• 1/05/18, SAR Denoising Using Pre-trained CNN Models, Xiangli Yang

• 26/04/18 , Deep Networks for Multi-temporal Activity Analysis of Earth Observation Data, Rodrigo Daudt

• 8/03/18, Deep Learning and transfert learning in medical imaging, Hadrien Bertrand

• 1/02/18, Deep Learning for Detection task : R-CNN family, Nicolas Gonthier