Diane Larlus
Computer Vision & Machine Learning Research Scientist
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.
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
OASIS @CVPR22
A benchmark and a set of baselines for the realistic task of Online Adaptation for Semantic Image Segmentation. CVPR 2022
TLDR @TMLR22
Unsupervised dimensionality reduction using a Barlow Twins loss. TMLR 2022
ARTEMIS @ICLR22
Garnment image retrieval, querying with an example image and a textual modifier. ICLR 2022
SuperFeatures @ICLR22
Mid-level features for image retrieval. ICLR 2022
NeuralDiff @3DV21
Neural rendering as a way to segment out even seldomly moving objects in egocentric videos. Collaboration with VGG, Oxford. 3DV 2021
CoG @ICCV21
A concept generalization benchmark for visual representations, named ImageNet-CoG. Collaboration with Thoth, Inria. ICCV 2021
News
2022
- Co-organizing the Self Supervised Learning: What is Next? workshop at ECCV22
- Keynote speaker at the joint CAp-RFIAP 2022 conference
- Paper accepted at ECCV22: Granularity-aware Adaptation for Image Retrieval over Multiple Retrieval Tasks
- Manuscript accepted to the TMLR journal: TLDR: Twin Learning for Dimensionality Reduction [paper,code]
- Invited talk at the O-DRUM workshop at CVPR22
- Paper accepted at CVPR22: On the Road to Online Adaptation for Semantic Image Segmentation [paper, code and benchmark]
- 2 papers accepted at ICLR22
- Co-organizing the Wiki-M3L workshop at ICLR22
- Area Chair for CVPR22
2021
- Paper accepted at 3DV21: NeuralDiff: Segmenting 3D objects that move in egocentric videos [paper, project page, video]
- Co-organizing the ImageNet Past, Present, Future workshop at NeurIPS21
- Paper accepted at ICCV21: Concept Greneralization in visual representations [project page, video, code]
- Co-organizing of the PAISS Summer School 2021 (organized by MIAI, PRAIRIE and NAVER LABS Europe)
- Invited talk at the Women in Computer Vision (WiCV) Workshop at CVPR21 [Video]
- Invited talk at the ANITI research institute (scientific seminar)
- 2 papers accepted at CVPR21
- Probabilistic Embeddings for Cross-Modal Retrieval [paper, code]
- Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning (oral) [paper, project page]
- 2 papers accepted at WACV21
- Area Chair for CVPR21, MVA21, ICCV21, BMVC21
2020
- Best reviewer award at NeurIPS20
- Keynote speaker at the MIAI DAY 2020 event
- Paper accepted at NeurIPS20: Hard negative mixing for contrastive learning [project page, video]
- Invited talk at the Instance-Level Recognition Workshop at ECCV20 [video]
- Paper accepted at ECCV20: Learning Visual Representations with Caption Annotations [project page, blog]
- Editor for International Journal of Computer Vision
- Industrial chair at ECCV20
- Area Chair for ECCV20, CVPR20
More
- see Older news
- see Full list of publications
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 |