Diane Larlus
Computer Vision & Machine Learning Research Scientist
All Projects
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UNIC @ECCV24

Building a UNIC classification model that distills from the best. ECCV 2024

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PANDAS @CoLLAs24

Automatically discover novel classes from unlabeled images and add the discovered classes to extend an existing detector. CoLLAs 2024

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Ret4Loc @ICLR24

Weatherproofing Retrieval for Localization: universal retrieval model enhanced with synthetic images during training. ICLR 2024

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EPIC Fields @NeurIPS23

Extension of EPIC KITCHENS dataset with 3D information. Collaboration with VGG, Oxford and MaVi, Bristol. NeurIPS 2023

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RASP @CoLLAs23

Weakly Supervised Incremental Segmentation improved by leveraging the semantics underneath class names. CoLLAs 2023

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A fully synthetic ImageNet @CVPR23

Pretraining only using synthetic images obtained with Stable Diffusion. Collaboration with Thoth, Inria. CVPR 2023

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SLACK @CVPR23

Automatic data-augmentation for classification. Collaboration with Thoth, Inria. CVPR 2023

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t-Rex @ICLR23

Supervised pretraining for strong results both on ImageNet and on transfer. Collaboration with Thoth, Inria. ICLR 2023

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GRAPPA @ECCV22

Unsupervised adaptation of SSL (eg DINO) to multiple retrieval tasks simultaneously. Collaboration with Naver Search. ECCV 2022

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N3F @3DV22

Fusing SSL (eg DINO) 2D representations with NeRF-like models using distillation. Collaboration with VGG, Oxford. 3DV 2022

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OASIS @CVPR22

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

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TLDR @TMLR22

Unsupervised dimensionality reduction using a Barlow Twins loss. TMLR 2022

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SuperFeatures @ICLR22

Mid-level features for image retrieval. ICLR 2022

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ARTEMIS @ICLR22

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

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CoG @ICCV21

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

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NeuralDiff @3DV21

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

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PCME @CVPR21

Learning Probabilistic Embedding for Cross-Modal Retrieval (PCME). Collaboration with Naver AI, CLOVA. CVPR 2021

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Continual DA @CVPR21

Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning. CVPR 2021 (oral).

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MoCHi @NeurIPS20

Generating hard negatives in the feature space for improved self-supervised contrastive mearning. NeurIPS 2020.

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ICMLM @ECCV20

Predicting masked tokens as a proxy task to learn visual representations from scratch using captioned images. ECCV 2020.

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JPoSE @ICCV19

Fine-Grained Action Retrieval through Multiple Parts-of-Speech Embeddings. ICCV 2019.

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SSL for Geometry @CVPR18

Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. CVPR 2018 (spotlight).

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