Diane Larlus
Computer Vision & Machine Learning Research Scientist
Researcher at Naver Labs Europe and MIAI Grenoble
Principal research scientist at Naver Labs Europe.
Head of the 'lifelong representation learning' chair, within the MIAI AI research institute of Grenoble.
Research on instance-level, semantic, cross-modal, and multimodal visual search.
Contributions in self-supervised learning, lifelong learning, continual domain adaptation, and neural rendering for complex scenes.
Head of the 'lifelong representation learning' chair, within the MIAI AI research institute of Grenoble.
Research on instance-level, semantic, cross-modal, and multimodal visual search.
Contributions in self-supervised learning, lifelong learning, continual domain adaptation, and neural rendering for complex scenes.
Projects
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 Inria. ICCV 2021
PCME @CVPR21
Learning Probabilistic Embedding for Cross-Modal Retrieval (PCME). Collaboration with Naver AI, CLOVA. CVPR 2021
Continual DA @CVPR21
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning. CVPR 2021 (oral).
MoCHi @NeurIPS20
Hard Negative Mixing for Contrastive Learning. NeurIPS 2020.
ICMLM @ECCV20
Image Conditioned Masked Language Modeling as a proxy task to learn visual representations from scratch from captioned images. ECCV 2020.
News
2022
- Paper accepted at CVPR22: On the Road to Online Adaptation for Semantic Image Segmentation
- 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]
- Industrial chair at ECCV20
- Area Chair for ECCV20, CVPR20
More
- see Older news
- see Full list of publications
Recent talks
| 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
| 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 |