Our seminars/reading groups usually take place Wednesdays at 11am.
For this year they are organized by Clementin Boittiaux and Raphael Baena.
If you are interested in presenting your work, please contact us [1, 2].
2024
September 18th | Marta López, Arijit Ghosh, Abhishek Kuriyal (IMAGINE) and Lucas Degeorge (IMAGINE & VISTA) : Intern Project
September 11th | Armand Lacombe (Direction Générale des Entreprises) : AI act
2023
September 28th | Zorah Lähner (University of Siegen) : Permutations in Neural Networks and Quantum Annealing
September 20th | Intern projects: Hongyu Zhou, Constantin Aronssohn, and Shiyao Li
September 13th | Juliette Bertrand (Recent collaboration with CTU Prague and NaverLabs Europe) : Limited Data Challenges in Video Understanding
September 6th | Nicolas Dufour, Lucas Ventura, Georgy Ponimatkin and Mathis Petrovich (Imagine) : Tutorial session on Language Models
May 30th | Maxime Oquab (MetaAI) : DINOv2 – Learning Robust Visual Features without Supervision
May 24th | Thomas Capelle (W&B) : Using video demonstrations as guidance for robot learning | Hands-On
May 24th | Kateryna Zorina (CTU) : Using video demonstrations as guidance for robot learning
May 17th | Alaaeldin El-Nouby (MetaAI) : Bringing the power of Transformers to Computer Vision
April 26th | Antoine Guédon (Imagine) : Automated 3D reconstruction of large structures with scalable deep learning strategies
April 26th | Roberto Dessì (UPF, MetaAI) : Cross-Domain Image Captioning with Discriminative Finetuning
April 19th | Frédéric Jurie (ENSICAEN) : Adversarial Counterfactual Visual Explanations
April 12th | Nicolas Dufour (IMAGINE) : Recent advances in diffusion models
April 5th | Bülent Sarıyıldız (NAVER,THOTH) : Learning and evaluating visual representations for transfer learning
March 29th | Emre Akbas (METU) : Imbalance in object detection and ranking-based loss functions to the rescue
March 20th | Efstratios Gavves (UvA) : Computer Vision 3.0: Learning Invariances of Dynamics, Causality, Geometry, and Physics towards a Theory of Foundational and Embodied AI
March 15th | Raoul de Charette (INRIA) : Video, Language, Physics: Computer vision with other means of supervision
March 1st | Georg Martius (MPI) : Towards Model-Based Reinforcement Learning on Real Robots
February 22th | Thomas Müller (NVIDIA) : Instant NGP: Neural Networks in High Performance Graphics
February 15th | Hugo Touvron (FAIR) : Architectures and Training for Visual Understanding
February 8th | Denis Coquenet (CNAM) : Towards End-to-end Handwritten Document Recognition
January 25th | Ruben Villegas (Google Brain) : Visual storytelling with generative models of video.
January 18th | Jurgen Gall (University of Bonn) : Efficient CNNs and Transformers for Video Understanding and Image Synthesis
January 11th | Bill Peebles (BAIR) : Scalable Generative Modeling with Transformers and Diffusion
2022
December 7th | Shizhe Chen (Willow, Inria Paris) : Vision-and-Language Navigation
November 30th | Fatma Guney (Koç University) : Efficient Multi-Agent Trajectory Prediction and Unknown Object Segmentation
November 16th | Veronica Belmega (LIGM) : Handling anxiety when speaking in public.
November 2nd | Georgia Gkioxari (FAIR) : From 2D to 3D Visual Recognition: New Benchmarks, Models and Methods for 3D in the Wild
October 19th | Bernard Ghanem (KAUST) : Beyond Temporal Activity Localization (TAL) in Untrimmed Video
October 12th | Intern Day
September 28th | Yannis Siglidis : Diffusion 101
September 15th | Alyosha Efros (BAIR): TBA
September 21st | Robin Rombach (Heidelberg University, LMU Munich) : High-Resolution Image Synthesis via Two-Stage Generative Models
July 20th | Mathilde Caron (Google) : Self-Supervised Vision Transformers
July 13th | CVPR highlights
July 6th | Jean-Baptiste Alayrac (DeepMind) : Flamingo: a Visual Language Model for Few-Shot Learning
June 29nd | Antonín Vobecký (Czech Technical University) : Drive&Segment: Unsupervised Semantic Segmentation of Urban Scenes via Cross-modal Distillation
June 15th | Damien Robert (ENGIE Lab, Univ. Gustave Eiffel, IGN-ENSG) : Deep View Aggregation in the Wild
June 8th | Sagar Vaze (VGG) : Learning From Images in an Open World
May. 25th | Vincent Lepetit : How to write a research paper
May. 18th | Yangtao Wang (Université Grenoble Alpes): Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut
May. 10th | Katerina Fragkiadaki (Carnegie Mellon University): Modular 3D neural scene representations for visuomotor control and language grounding
May. 4th | Elena Sizikova (NYU): Learning with Incomplete Supervision in Imaging Applications
Apr. 27th | Nanne van Noord (University of Amsterdam): Interdisciplinarity, Computer Vision, and Visual Culture
Apr. 20th | Nicolas Dufour : Perceiver papers presentation
Apr. 13th | Liliane Momeni (University of Oxford) : Computer Vision for Sign Language
March. 30th | Dmitriy Smirnov (MIT) : Deep Learning on Geometry Representations
March. 16th | Nermin Samet : Integrating near and long-range evidence for visual detection
March. 9th | Dimitris Tsipras (Stanford University): Controlling model behavior beyond the training data
Feb. 23rd | Fivos Kalogiannis (National Technical University of Athens): Min-max optimization in two-team zero-sum games
Rahima Djahel: A 3D Segments Based Algortihm For Heterogeneous Data Registration – Detecting Openings To Improve Indoor/Outdoor Registration
Feb. 16th | Stéphane Lathuilière (Télécom Paris): Self-Supervised Representation Learning for Video Generation
Feb. 9th | ECCV submission
Jan. 26th | Oriane Simeoni (Valeo.ia): Localizing Objects with Self-Supervised Transformers and no Labels
Jan. 19th | Thomas Belos: MOD SLAM: Mixed Method for a More Robust SLAM Without Loop Closing
Amanda Duarte: Sign Language Video Retrieval with Free-Form Textual Queries
Jan. 12th | Diogo Luvizon (Max Planck Institute): Novel view synthesis from a single image through multiplane image representation
Jan. 5th | Thibaut Issenhuth and Nicolas Dufour: Tutorial on GAN and Latent reweighting, an almost free improvement for GANs
2021
Dec. 14th | Pierre Alliez (INRIA): Progressive Discrete Domains for Implicit Surface Reconstruction
Dec. 8th | Emanuele Dalsasso (Télécom Paris): As if by magic: self-supervised training of deep despeckling networks with MERLIN
Arthur Oukanine (Télécom Paris and Valeo.ai): Multi-View Radar Semantic Segmentation
Dec. 1st | Van Huy Vo (Ecole Normale Superieure, INRIA and Valeo.ai) – Unsupervised Object Discovery
Nov. 24th | Yannis Kalantidis (NaverLabs): Measuring and Improving the Generalization of Self-supervised Learning
Nov. 17th | –
Nov. 10th | CVPR submission 2
Nov. 3rd | Yuming Du : Brief overview of deep learning based object detection/segmentation & Presentation of Champion Methods for UVO Challenges
Oct. 27th | ICCV 2021 highlights 2
Oct. 20th | ICCV 2021 highlights
Oct. 13th | CVPR submission
Oct. 6th | Intern projects : Nicolas Dufour, Georgy Ponimatkin and Yannis Siglidis
Sep. 29th | Francesc Moreno-Noguer (Institut de Robòtica i Informàtica Industrial): Deep Human Modeling from Single Images
Sep. 20th | Pascal Fua (EPFL): Deep Surface Meshes
Sep. 15th | Vicky Kalogeiton (École Polytechnique): Towards a moving word: The who, what and with whom for video understanding
Sep. 8th | Vivien Sainte-Fare-Garnot (IGN): Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks
Sep. 1st | Mathis Petrovich: Tutorial on Humans modeling, estimation and generation
Jul. 28th | Simon Roburin: Spherical Perspective on Learning with Batch Normalization and
Philippe Chiberre: Detecting Stable Keypoints from Events through Image Gradient Prediction
Jul. 21st | CVPR highlights (part 2)
Jul. 15th | CVPR highlights (part 1)
Jul. 7th | Jia-Bin Huang (University of Maryland): Learning to See the 3D world
Jun. 30th | Yasu Furukawa (Simon Fraser University): Teaching Computers to Design Architecture
Jun. 23rd | Rahima Djahel: Towards Efficient Indoor/Outdoor Registration Using Planar Polygons
Jun. 16th | Welcome seminar
Jun. 9th | Nicolas Gonthier: Convolutional Neural Networks for Art Analysis
Jun. 2nd | Yuki Asano (VGG Oxford University): Self-supervised Learning from Images, Videos, Audio and Text to Representations and Beyond
May. 12th | Victor Besnier: Uncertainty in neural networks
May. 5th | Tutorial on encoders (part 2)
Apr. 28th | Yana Hasson (INRIA): Hand-object reconstruction
Apr. 21st | Tutorial on encoders (part 1)
Apr. 14th | Yann Labbé (Inria)
Apr. 7th | Max Bain, Vincent Lepetit, Van-Nguyen Nguyen
March. 31st | Romain Loiseau: 3D point transformers
March. 3rd | ICCV submissions (part 2) Mathis Petrovich
Feb. 24th | ICCV submissions (part 1)
Feb. 17th | Siyu Tang (ETH Zurich)
Feb. 10th | Zan Gojcic (ETH Zurich): PREDATOR: Registration of 3D Point Clouds with Low Overlap and Weakly Supervised Learning of Rigid 3D Scene Flow
Feb. 3rd | Ahmet Iscen (Google): Memory-Efficient Incremental Learning Through Feature Adaptation
Jan. 27th | Pierre Jacob, Mathis Petrovich and Othman Sbai: Tutorial on Transformers
Jan. 13th | NeurIPS highlights (part 2)
Jan. 6th | NeurIPS highlights (part 1)
2020
Dec. 16th | Nerf
Dec. 9th | Pierre Jacob and Xi Chen: Metric learning
Dec. 2nd | Shangzhe Wu (VGG): Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild
Nov. 25th | Muxingzi Li: Approximating shapes in images with low-complexity polygons
Oct. 28th | Tolga Birdal (Stanford)
Oct. 21st | CVPR submissions
Oct. 14th | Gül Varol: Scaling up sign language recognition
Oct. 7th | Tom Monnier and Elliot
Sep. 23rd | Interns project presentations
Sep. 16th | Helisa Dhamo: Layered Depth Images and Scene Graphs
Sep. 9th | ECCV highlights
Sep. 2nd | Sergey Zakharov
March. 11th | Francois Darmon and Hugo Germain
March. 4th | Thomas Belos: An introduction to Simultaneous Localization and Mapping
Feb. 12th | ECCV submissions
Jan. 30th | Elmar Mair (Google X)
Jan. 29th | Francisco Massa (FAIR)
Jan. 22nd | Jan Bednařík (CVLab): Shape Reconstruction by Learning Differentiable Surface Representation
Jan. 15th | Spyros Gidaris (ValeoAI): Few-Shot Learning
Jan. 8th | Loic Landrieu (IGN)
2019
Dec. 18th | Jan Bednařík (CVLab): Shape Reconstruction by Learning Differentiable Surface Representation
Dec. 18th | Yongchao Xu: Learning the relationship between neighboring pixels for some vision tasks
Dec. 10th | Raphael Groscot: 3D Deep Learning
Dec. 4th | Tom Monnier: Deep Segmentation Overview
Nov. 18th | ICCV highlights
Oct. 23rd | CVPR submissions : Yuming Du – Pierre-Alain Langlois – Othman Sbai – Xi Shen – Michaël Ramamonjisoa
Oct. 16th | Shell Xu Hu and Francois Darmon
Oct. 11th | Antoine Labatie (Graphcore)
Oct. 2nd | Bryan Russell (Adobe)
Sept. 26th | Xi Shen, Yang Xia: Domain Adaptation
May. 9th | Jean Feydy (ENS Cachan): Robust shape matching with Optimal Transport
May. 6th | Xi Shen
Apr. 25th | Othman Sbai, Oumayma Bounou: StyleGAN
Apr. 19th | Emilie Chouzenoux (UMLV-CentraleSupélec): Deep Unfolding of a Proximal Interior Point Method for Image Restoration
Apr. 15th | Ignacio Rocco (INRIA-WILLOW): Neighbourhoud Consensus Networks
Apr. 12th | Simon Roburin: Regularity of Neural Networks
Mar. 25th | Guillaume Charpiat (Inria-TAU – LRI): Deep Learning for Satellite Imagery
Mar. 18th | ICCV submissions
Mar. 11th | David Picard (ENSEA)
Mar. 4th | Corentin Tallec (Inria TAU-LRI): Reinforcement learning
Feb. 27th | Edouard Oyallon (CentraleSupélec): Layerwise learning
Feb. 25th | ICCV plans
Feb. 18th | Xuchong Qiu: Object pose estimation
Feb. 11th | Shell Hu, François Darmon: Bayesian deep learning
Feb. 4th | Gül Varol (Inria Willow): BodyNet – volumetric inference of 3D human body shapes in videos
Jan. 28th | Xuchong Qiu, Yang Xiao: Visual servoing & RL overview
Jan. 21st | Xi Shen: Low shot learning
Jan. 14th | Robin Champenois: Text generation
Jan. 7th | Thibault Groueix, Pierre-Alain Langlois: Solving earth mover’s distance (EMD)
2018
Dec. 20th | Pierre-Alain, Benjamin Dubois: Causality (and beyond)
Nov. 5th | CVPR plans 2
Oct. 29th | CVPR plans 1
Oct. 22nd | Adrien Kaiser (Telecom Paris): A survey of simple geometric primitives detection methods for captured 3D data
Oct. 15th | David Fouhey (UC Berkeley)
Oct. 8th | Théo Deprelle: GroupNorm, InstanceNorm, LayerNorm, BatchNorm…
Oct. 1st | Leman Feng: Curved optimal Delaunay triangulation
Sep. 17th | Othman Sbaï, Thibault Groueix, Théo Deprelle: ECCV highlightsth