Diane Larlus
Computer Vision & Machine Learning Research Scientist
Profile
About Me
Researcher at Naver Labs Europe and MIAI Grenoble
Principal research scientist and Team Lead at Naver Labs Europe.
Head of the 'lifelong representation learning' chair, within the MIAI AI research institute.
Research on self-supervised learning, incremental and online learning, continual domain adaptation.
Contributions to instance-level, semantic, cross-modal, and multimodal visual retrieval.
Interested in neural rendering for complex scenes.
Projects
Sunset in the mountains
OASIS @CVPR22

A benchmark and a set of baselines for the realistic task of Online Adaptation for Semantic Image Segmentation. CVPR 2022

Sunset in the mountains
TLDR @TMLR22

Unsupervised dimensionality reduction using a Barlow Twins loss. TMLR 2022

Sunset in the mountains
ARTEMIS @ICLR22

Garnment image retrieval, querying with an example image and a textual modifier. ICLR 2022

Sunset in the mountains
SuperFeatures @ICLR22

Mid-level features for image retrieval. ICLR 2022

Sunset in the mountains
NeuralDiff @3DV21

Neural rendering as a way to segment out even seldomly moving objects in egocentric videos. Collaboration with VGG, Oxford. 3DV 2021

Sunset in the mountains
CoG @ICCV21

A concept generalization benchmark for visual representations, named ImageNet-CoG. Collaboration with Thoth, Inria. ICCV 2021


Older projects

News

2022

2021

2020

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Recent talks
  
Jul 2022   Invited talk at the 1st International Workshop on Pervasive Artificial Intelligence - Lifelong visual representation learning
Jul 2022   Keynote Speaker at CAp-RFIAP 2022 - Lifelong visual representation learning
Jun 2022   Invited talk at the O-DRUM Workshop at CVPR22 - Using Text in Computer Vision
Apr 2022   Invited talk at GDR TAL Day - Learning transferable visual representations
Jan 2022   Invited talk at KUIS AI Meetings - Towards Semantic Understanding in Egocentric Videos
Jun 2021   Invited talk at the Women in Computer Vision (WiCV) Workshop at CVPR21 - Lifelong visual representation learning [Video]
May 2021 Invited talk at the ANITI research institute (scientific seminar) - Learning from weak supervision and mitigating catastrophic forgetting
Oct 2020 Keynote Speaker for MIAI Days - Lifelong visual representation learning
Aug 2020 Invited talk at the ILR Workshop at ECCV20 - From Instance-Level to Semantic Image Retrieval [Video]
Nov 2019 Invited talk at the SOLARIS Workshop - Self-supervised learning for category-level geometry estimation
Apr 2019 Invited talk at the StatLearn 19 conference - Learning Image Representations for Efficient Visual Search
Nov 2018 Invited speaker, AI and Vision session at SophIA Summit - Visual Search
Jul 2018 Lecture at the PRAIRIE Artificial Intelligence summer school (PAISS) [slides] - Visual Search
Older: see CV
Teaching
  
2022 Découvrir l’IA par le jeu (Discover AI with games, a 2 day training session for high school teachers) - Maison pour la Science Alpes-Dauphiné
Jan 2022   Guest lecture on Visual Search - Posts and Telecommunications Institute of Technology (PTIT), Vietnam
2021/2022   Comprendre des données visuelles à grande échelle - ENSIMAG, Grenoble
May 2021   Guest lecture on Visual Search - Hanoi University of Science and Technology (HUST), Vietnam
2020/2021   Comprendre des données visuelles à grande échelle - ENSIMAG, Grenoble
2020 Découvrir l’IA par le jeu (Discover AI with games, a 2 day training session for high school teachers) - Maison pour la Science Alpes-Dauphiné
Nov 2019   Lecture on Visual Search as part of the ‘Deep Learning’ course for the MVA master - ENS Paris
2019/2020   Comprendre des données visuelles à grande échelle - ENSIMAG, Grenoble
Feb 2019 Lecture on Visual Search as part of the ‘Deep Learning in Practice’ course for the MVA master - ENS Paris
2018/2019 Comprendre des données visuelles à grande échelle - ENSIMAG, Grenoble
July 2018 Lecture on Visual Search at the PRAIRIE Artificial Intelligence summer school (PAISS 2018) [slides]
Older: see CV