Larlus, Diane

41 publications

CVPR 2025 DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers Mert Bülent Sarıyıldız, Philippe Weinzaepfel, Thomas Lucas, Pau de Jorge, Diane Larlus, Yannis Kalantidis

ICCV 2025 Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction Zeren Jiang, Chuanxia Zheng, Iro Laina, Diane Larlus, Andrea Vedaldi

ICCV 2025 LUDVIG: Learning-Free Uplifting of 2D Visual Features to Gaussian Splatting Scenes Juliette Marrie, Romain Menegaux, Michael Arbel, Diane Larlus, Julien Mairal

CVPR 2025 Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos Vadim Tschernezki, Diane Larlus, Iro Laina, Andrea Vedaldi

TMLR 2024 On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus

CoLLAs 2024 PANDAS: Prototype-Based Novel Class Discovery and Detection Tyler L. Hayes, César Roberto de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus

ECCV 2024 UNIC: Universal Classification Models via Multi-Teacher Distillation Yannis Kalantidis, Diane Larlus, Mert Bulent Sariyildiz, Philippe Weinzaepfel, Thomas Lucas

ICLR 2024 Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency Yannis Kalantidis, Mert Bülent Sarıyıldız, Rafael S. Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka

ECCVW 2024 What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi

NeurIPS 2023 EPIC Fields: Marrying 3D Geometry and Video Understanding Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi

CVPR 2023 Fake It till You Make It: Learning Transferable Representations from Synthetic ImageNet Clones Mert Bülent Sarıyıldız, Karteek Alahari, Diane Larlus, Yannis Kalantidis

ICLR 2023 No Reason for No Supervision: Improved Generalization in Supervised Models Mert Bülent Sarıyıldız, Yannis Kalantidis, Karteek Alahari, Diane Larlus

CoLLAs 2023 RaSP: Relation-Aware Semantic Prior for Weakly Supervised Incremental Segmentation Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus

CVPR 2023 SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal

ICLR 2022 ARTEMIS: Attention-Based Retrieval with Text-Explicit Matching and Implicit Similarity Ginger Delmas, Rafael S. Rezende, Gabriela Csurka, Diane Larlus

ECCV 2022 Granularity-Aware Adaptation for Image Retrieval over Multiple Tasks Jon Almazán, Byungsoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis

ICLR 2022 Learning Super-Features for Image Retrieval Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis

CVPR 2022 On the Road to Online Adaptation for Semantic Image Segmentation Riccardo Volpi, Pau De Jorge, Diane Larlus, Gabriela Csurka

TMLR 2022 TLDR: Twin Learning for Dimensionality Reduction Yannis Kalantidis, Carlos Eduardo Rosar Kos Lassance, Jon Almazán, Diane Larlus

ICCV 2021 Concept Generalization in Visual Representation Learning Mert Bulent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari

NeurIPSW 2021 Concept Generalization in Visual Representation Learning Mert Bülent Sarıyıldız, Yannis Kalantidis, Diane Larlus, Karteek Alahari

CVPR 2021 Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning Riccardo Volpi, Diane Larlus, Gregory Rogez

CVPR 2021 Probabilistic Embeddings for Cross-Modal Retrieval Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus

WACV 2021 StacMR: Scene-Text Aware Cross-Modal Retrieval Andres Mafla, Rafael S. Rezende, Lluis Gomez, Diane Larlus, Dimosthenis Karatzas

WACV 2021 Unsupervised Meta-Domain Adaptation for Fashion Retrieval Vivek Sharma, Naila Murray, Diane Larlus, Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka

NeurIPS 2020 Hard Negative Mixing for Contrastive Learning Yannis Kalantidis, Mert Bulent Sariyildiz, Noe Pion, Philippe Weinzaepfel, Diane Larlus

ECCV 2020 Learning Visual Representations with Caption Annotations Mert Bulent Sariyildiz, Julien Perez, Diane Larlus

ECCV 2018 Semi-Convolutional Operators for Instance Segmentation David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi

CVPR 2017 AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching David Novotny, Diane Larlus, Andrea Vedaldi

CVPR 2017 Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval Albert Gordo, Diane Larlus

ICCV 2017 Learning 3D Object Categories by Looking Around Them David Novotny, Diane Larlus, Andrea Vedaldi

ECCV 2016 Deep Image Retrieval: Learning Global Representations for Image Search Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus

ECCV 2016 Learning the Structure of Objects from Web Supervision David Novotný, Diane Larlus, Andrea Vedaldi

ECCVW 2016 Learning the Structure of Objects from Web Supervision David Novotný, Diane Larlus, Andrea Vedaldi

CVPR 2015 Fisher Vectors Meet Neural Networks: A Hybrid Classification Architecture Florent Perronnin, Diane Larlus

ICCV 2013 Predicting an Object Location Using a Global Image Representation Jose A. Rodriguez Serrano, Diane Larlus

ECCV 2012 Semantic Image Segmentation Using Visible and Near-Infrared Channels Neda Salamati, Diane Larlus, Gabriela Csurka, Sabine Süsstrunk

ECCVW 2012 Semantic Image Segmentation Using Visible and Near-Infrared Channels Neda Salamati, Diane Larlus, Gabriela Csurka, Sabine Süsstrunk

ICCV 2011 Assessing the Aesthetic Quality of Photographs Using Generic Image Descriptors Luca Marchesotti, Florent Perronnin, Diane Larlus, Gabriela Csurka

ECCV 2010 Extracting Structures in Image Collections for Object Recognition Sandra Ebert, Diane Larlus, Bernt Schiele

CVPR 2008 Combining Appearance Models and Markov Random Fields for Category Level Object Segmentation Diane Larlus, Frédéric Jurie