| 2025 | CVPR | DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers. | Mert Blent Sariyildiz, Philippe Weinzaepfel, Thomas Lucas, Pau de Jorge, Diane Larlus, Yannis Kalantidis |
| 2025 | CVPR | Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos. | Vadim Tschernezki, Diane Larlus, Iro Laina, Andrea Vedaldi |
| 2025 | ICCV | Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction. | Zeren Jiang, Chuanxia Zheng, Iro Laina, Diane Larlus, Andrea Vedaldi |
| 2025 | ICCV | LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes. | Juliette Marrie, Romain Menegaux, Michael Arbel, Diane Larlus, Julien Mairal |
| 2025 | VISIGRAPP | Lifelong Visual Representation Learning. | Diane Larlus |
| 2024 | ECCV | What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision. | Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi |
| 2024 | ECCV | UNIC: Universal Classification Models via Multi-teacher Distillation. | Mert Blent Sariyildiz, Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis |
| 2024 | ICLR | Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency. | Yannis Kalantidis, Mert Blent Sariyildiz, Rafael S. Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka |
| 2023 | CVPR | SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization. | Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal |
| 2023 | CVPR | Fake it Till You Make it: Learning Transferable Representations from Synthetic ImageNet Clones. | Mert Blent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis |
| 2023 | ICLR | No Reason for No Supervision: Improved Generalization in Supervised Models. | Mert Blent Sariyildiz, Yannis Kalantidis, Karteek Alahari, Diane Larlus |
| 2022 | CVPR | On the Road to Online Adaptation for Semantic Image Segmentation. | Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka |
| 2022 | ECCV | Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks. | Jon Almazn, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis |
| 2022 | ICLR | ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity. | Ginger Delmas, Rafael Sampaio de Rezende, Gabriela Csurka, Diane Larlus |
| 2022 | ICLR | Learning Super-Features for Image Retrieval. | Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis |
| 2021 | CVPR | Probabilistic Embeddings for Cross-Modal Retrieval. | Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus |
| 2021 | CVPR | Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning. | Riccardo Volpi, Diane Larlus, Grgory Rogez |
| 2021 | ICCV | Concept Generalization in Visual Representation Learning. | Mert Blent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari |
| 2021 | WACV | Unsupervised Meta-Domain Adaptation for Fashion Retrieval. | Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka |
| 2021 | WACV | StacMR: Scene-Text Aware Cross-Modal Retrieval. | Andrs Mafla, Rafael Sampaio de Rezende, Llus Gmez, Diane Larlus, Dimosthenis Karatzas |
| 2020 | ECCV | Learning Visual Representations with Caption Annotations. | Mert Blent Sariyildiz, Julien Perez, Diane Larlus |
| 2019 | ICCV | Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. | Michael Wray, Gabriela Csurka, Diane Larlus, Dima Damen |
| 2018 | CVPR | Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. | David Novotn, Samuel Albanie, Diane Larlus, Andrea Vedaldi |
| 2018 | ECCV | Semi-convolutional Operators for Instance Segmentation. | David Novotn, Samuel Albanie, Diane Larlus, Andrea Vedaldi |
| 2017 | CVPR | Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval. | Albert Gordo, Diane Larlus |
| 2017 | CVPR | AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2017 | ICCV | Learning 3D Object Categories by Looking Around Them. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2016 | BMVC | I Have Seen Enough: Transferring Parts Across Categories. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2016 | ECCV | Deep Image Retrieval: Learning Global Representations for Image Search. | Albert Gordo, Jon Almazn, Jrme Revaud, Diane Larlus |
| 2016 | ECCV | Learning the Structure of Objects from Web Supervision. | David Novotn, Diane Larlus, Andrea Vedaldi |
| 2015 | CVPR | Fisher vectors meet Neural Networks: A hybrid classification architecture. | Florent Perronnin, Diane Larlus |
| 2013 | BMVC | What is a good evaluation measure for semantic segmentation?. | Gabriela Csurka, Diane Larlus, Florent Perronnin |
| 2013 | ICCV | Predicting an Object Location Using a Global Image Representation. | Jos A. Rodrguez-Serrano, Diane Larlus |
| 2012 | ECCV | Semantic Image Segmentation Using Visible and Near-Infrared Channels. | Neda Salamati, Diane Larlus, Gabriela Csurka, Sabine Ssstrunk |
| 2011 | BMVC | Combining Visible and Near-Infrared Cues for image Categorisation. | Neda Salamati, Diane Larlus, Gabriela Csurka |
| 2011 | ICCV | Assessing the aesthetic quality of photographs using generic image descriptors. | Luca Marchesotti, Florent Perronnin, Diane Larlus, Gabriela Csurka |
| 2010 | ECCV | Extracting Structures in Image Collections for Object Recognition. | Sandra Ebert, Diane Larlus, Bernt Schiele |
| 2009 | ISWC | Multi-graph Based Semi-supervised Learning for Activity Recognition. | Maja Stikic, Diane Larlus, Bernt Schiele |
| 2008 | CVPR | Combining appearance models and Markov Random Fields for category level object segmentation. | Diane Larlus, Frdric Jurie |
| 2006 | BMVC | Latent Mixture Vocabularies for Object Categorization. | Diane Larlus, Frdric Jurie |