The computer vision team conducts research in a wide range of areas, including visual search, scene parsing, human sensing, action recognition, pose estimation and lifelong learning.
- The team has 4 papers accepted at ECCV 2020
- Grégory Rogez is co-editor of the IJCV Special Issue on Human Pose, Motion, Activities and Shape in 3D
- 1 paper (oral) accepted at CVPR 2020. See Blog.
- Diane Larlus is serving as Area Chair for CVPR 2020 and ECCV 2020
- The paper by César de Souza et al. on “Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models“, was accepted for publication in IJCV.
- Yannis Kalantidis is organizing the Computer Vision for Agriculture (CV4A) workshop at ICLR 2020.
- Diane Larlus is serving as Industrial Liaison Chair for ECCV 2020
- 2nd in HANDS Challenge Task 3 ‘RGB-Based Hand Pose Estimation During Object Manipulation’ ICCV 2019
- 1 paper (oral) accepted at NeurIPS 2019.
- 3 papers accepted at ICCV 2019.
- Diane Larlus and Naila Murray area chairs for ICCV 2019.
- New feature detector R2D2 wins Visual Localization Challenge at CVPR 2019 (arxiv)
- 3 papers accepted at CVPR 2019.
- Gregory Rogez co-organizing 3D HUMANS workshop at CVPR 2019.
- Diane Larlus co-organizing FFSS-USAD workshop at CVPR 2019.
- Jon Almazán, Claudine Combe, Diane Larlus, and Rafael Sampaio de Rezende conducted a lecture and practical session on visual search as part of the Mathématiques / Vision / Apprentissage (MVA) master programme at ENS.
- Accepted paper for publication at IEEE TPAMI: Gregory Rogez, Philippe Weinzaepfel and Cordelia Schmid: LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images
- Accepted paper for publication in IEEE TPAMI: David Novotny, Diane Larlus and Andrea Vedaldi: Capturing the Geometry of Object Categories from Video Supervision.
- Accepted paper at ECCV 2018: David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi. Semi-Convolutional Operators for Instance Segmentation.
- Demo accepted at ECCV 2018: Philippe Weinzaepfel and Gregory Rogez. LCR-Net++: Multi-person 2D and 3D Pose Detection in Natural Images.
- PAISS, Artificial Intelligence Summer School NAVER LABS Europe speaker from the Computer Vision team: Diane Larlus
- Naila Murray to serve as area chair for ICLR 2019.
- We have 2 papers accepted at CVPR 2018
- Diane Larlus was recognized as an outstanding reviewer for CVPR 2018.
- “Domain Adaptation in Computer Vision Applications” book in the Springer Series Advances in Computer Vision and Pattern Recognition (editor: Gabriela Csurka)
- We have 3 papers accepted at ICCV 2017.
- We won the MediaEval 2017 Retrieving Diverse Social Images Task challenge.
- We have 4 papers accepted at CVPR 2017.
- CVPR Outstanding Reviewer Award for Diane Larlus and Jérôme Revaud.
- Florent Perronnin is co-organizing, with Adrien Gaidon and Antonio Lopez, an IJCV special issue on “synthetic visual data”. This special issue follows the workshop on Virtual/Augmented Reality for Visual Artificial Intelligence (VARVAI) which was held in conjunction with ECCV 2016.
Our work covers the spectrum from unsupervised to supervised approaches, and from very deep architectures to very compact ones. We’re excited about the promise of big data to bring big performance gains to our algorithms but also passionate about the challenge of working in data-scarce and low-power scenarios. Our driving goal is to use our research to deliver ambient visual intelligence to our users in autonomous driving, robotics, via phone cameras and any other visual means to reach people wherever they may be.
Our research combines skills in machine learning, pattern recognition and computer vision, and we work on multi-disciplinary problems with teams specialised in natural language processing, user experience, ethnography, design and more. Our research efforts may be either long-term in focus, or may tackle problems with concrete and immediate relevance to NAVER products and services. We’re very active in the computer vision community and our research is often pursued in collaboration with external partners from government and academia.
Computer Vision team:
- The short memory of artificial neural networks (blog article)
- GanHand: estimating the pose of a hand to enable human-like robot manipulation (blog article)
- Computer vision research scientist (multiple positions) (open position)