Automatically discover novel classes from unlabeled images and add the discovered classes to extend an existing detector. CoLLAs 2024
Weatherproofing Retrieval for Localization: universal retrieval model enhanced with synthetic images during training. ICLR 2024
Extension of EPIC KITCHENS dataset with 3D information. Collaboration with VGG, Oxford and MaVi, Bristol. NeurIPS 2023
Weakly Supervised Incremental Segmentation improved by leveraging the semantics underneath class names. CoLLAs 2023
Pretraining only using synthetic images obtained with Stable Diffusion. Collaboration with Thoth, Inria. CVPR 2023
Automatic data-augmentation for classification. Collaboration with Thoth, Inria. CVPR 2023
Supervised pretraining for strong results both on ImageNet and on transfer. Collaboration with Thoth, Inria. ICLR 2023
Unsupervised adaptation of SSL (eg DINO) to multiple retrieval tasks simultaneously. Collaboration with Naver Search. ECCV 2022
Fusing SSL (eg DINO) 2D representations with NeRF-like models using distillation. Collaboration with VGG, Oxford. 3DV 2022
A benchmark and a set of baselines for the realistic task of Online Adaptation for Semantic Image Segmentation. CVPR 2022
Garnment image retrieval, querying with an example image and a textual modifier. ICLR 2022
A concept generalization benchmark for visual representations, named ImageNet-CoG. Collaboration with Thoth, Inria. ICCV 2021
Neural rendering as a way to segment out even seldomly moving objects in egocentric videos. Collaboration with VGG, Oxford. 3DV 2021
Learning Probabilistic Embedding for Cross-Modal Retrieval (PCME). Collaboration with Naver AI, CLOVA. CVPR 2021
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning. CVPR 2021 (oral).
Generating hard negatives in the feature space for improved self-supervised contrastive mearning. NeurIPS 2020.
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