• ICLR24 - Weatherproofing Retrieval for Localization with Generative AI & Geometric Consistency
• Yannis Kalantidis, Mert Bülent Sarıyıldız, Rafael S. Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka
• └─ project page
• NeurIPS23 - EPIC Fields: Marrying 3D Geometry and Video Understanding
• Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
• └─ project page
• CoLLAs23 - RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation
• Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus
• └─ paper
• CVPR23 - Fake it till you make it: learning transferable representations from synthetic ImageNet clones
• Mert Bulent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis
• └─ paper
• CVPR23 - SLACK: Stable Learning of Augmentations with Cold-start and KL regularization
• Juliette Marrie. Michael Arbel, Diane Larlus, Julien Mairal.
• └─ paper
• ICLR23 - No Reason for No Supervision: Improved Generalization in Supervised Models
• Mert Bulent Sariyildiz, Yannis Kalantidis, Karteek Alahari, Diane Larlus
• └─ paper
• ECCV22 - Granularity-aware Adaptation for Image Retrieval over Multiple Retrieval Tasks
• Jon Almazan, Byungsoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis
• └─ paper
• 3DV22 - Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations
• Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
• └─ project page
• CVPR22 - On the Road to Online Adaptation for Semantic Image Segmentation
• Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
• └─ project page – code
• TMLR22 - TLDR: Twin Learning for Dimensionality Reduction
• Yannis Kalantidis, Jon Alamzan, Carlos Lassance, Diane Larlus, Yannis Kalantidis
• └─ code
• ICLR22 - *ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity
• Ginger Delmas, Rafael Sampaio de Rezende, Gabriela Csurka, Diane Larlus
• └─ code
• ICLR22 - Learning Super-Features for Image Retrieval
• Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis
• └─ code
• ICCV21 - Concept Generalization in Visual Representation Learning
• Mert Bulent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari
• └─ project page - video
• 3DV21 - NeuralDiff: Segmenting 3D objects that move in egocentric videos
• Vadim Tschernezki, Diane Larlus, Andrea Vedaldi
• └─ project page - code
• CVPR21 - Probabilistic Embeddings for Cross-Modal Retrieval
• Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
• └─ paper, code
• WACV21 - Unsupervised Meta-Domain Adaptation for Fashion Retrieval
• Vivek Sharma, Naila Murray, Diane Larlus, Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka
• └─ paper
• WACV21 - StacMR: Scene-Text Aware Cross-Modal Retrieval
• Andres Mafla, Rafael Sampaio de Rezende, Lluis Gomez, Diane Larlus, Dimosthenis Karatzas
• └─ project page
• NeurIPS20 - Hard negative mixing for contrastive learning
• Yannis Kalantidis, Mert Bülent Sariyildiz, Noé Pion, Philippe Weinzaepfel, Diane Larlus.
• └─ project page
• ECCV20 - Learning Visual Representations with Caption Annotations
• Mert Bülent Sariyildiz, Julien Perez, Diane Larlus
• └─ project page
• ICCV19 - Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings
• Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen
• └─ project page - video
• PAMI18 - Capturing the geometry of object categories from video supervision
• David Novotny, Diane Larlus, Andrea Vedaldi
• └─ paper
• ECCV18 - Semi-convolutional Operators for Instance Segmentation
• David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi
• └─ paper
• CVPR18 - Self-supervised learning of geometrically stable features through probabilistic introspection
• David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi.
• └─ project page - video
• ICCV17 - Learning 3D Object Categories by Looking Around Them
• David Novotny, Diane Larlus, Andrea Vedaldi
• └─ paper - video
• IJCV17 - End-to-end learning of deep visual representations for image retrieval
• Albert Gordo, Jon Almaz’an, Jérôme Revaud, Diane Larlus.
• └─ paper - code
• CVPR17 - Beyond instance-level image retrieval: Leveraging captions to learn a global visual representation for semantic retrieval
• Albert Gordo, Diane Larlus
• └─ paper
• CVPR17 - AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching
• David Novotny, Diane Larlus, Andrea Vedaldi.
• └─ paper - code
• Book Chapter 2017 - Generalizing Semantic Part Detectors Across Domains
• David Novotny, Diane Larlus, Andrea Vedaldi
• in Domain Adaptation in Computer Vision Applications
• └─ paper
• ECCV16 - Deep image retrieval: Learning global representations for image search
• Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus
• └─ paper - code
• ECCV Workshop 2016 - Learning the structure of objects from web supervision
• David Novotny, Diane Larlus, Andrea Vedaldi
• └─ paper
• BMVC16 - I Have Seen Enough: Transferring Parts Across Categories
• David Novotny, Diane Larlus, Andrea Vedaldi
• └─ paper
• TPAMI 2015 - Data-driven Detection of Prominent Objects
• Jose Rodriguez-Serrano, Diane Larlus, Zhenwen Dai
• └─ paper
• CVPR15 - Fisher vectors meet neural networks: A hybrid classification architecture
• Florent Perronnin, Diane Larlus
• └─ paper
• ICCV13 - Predicting an Object Location Using a Global Image Representation
• Jose Rodriguez Serrano, Diane Larlus
• └─ paper
• BMVC13 - What is a good evaluation measure for semantic segmentation?
• Gabriela Csurka, Diane Larlus, Florent Perronnin.
• └─ paper
• ICVGIP12 - On the use of regions for semantic image segmentation
• Rui Hu, Diane Larlus, Gabriela Csurka.
• └─ paper
• ECCV Workshop 2012 - Semantic image segmentation using visible and near-infrared channels
• Neda Salamati, Diane Larlus, Gabriela Csurka, Sabine Süsstrunk
• └─ paper
• Book Chapter 2012 - Color naming
• WR Benavente, M Vanrell, C Schmid, R Baldrich, J Verbeek, D Larlus
• in Color in Computer Vision: Fundamentals and Applications
• └─ paper
• ICCV2021 - Assessing the aesthetic quality of photographs using generic image descriptors
• L L Marchesotti, F Perronnin, D Larlus, G Csurka
• └─ paper
• TPAMI 2011 - Weakly supervised recognition of daily life activities with wearable sensors
• M Stikic, D Larlus, S Ebert, B Schiele
• └─ paper
• BMVC11 - Combining Visible and Near-Infrared Cues for Image Categorisation
• N Salamati, D Larlus, G Csurka
• └─ paper
• Journal of Signal Processing Systems 2010 - Manifold based local classifiers: Linear and nonlinear approaches
• H Cevikalp, D Larlus, M Neamtu, B Triggs, F Jurie
• └─ paper
• ECCV10 - Extracting structures in image collections for object recognition
• S Ebert, D Larlus, B Schiele.
• └─ paper
• IJCV10 - Category level object segmentation by combining bag-of-words models with dirichlet processes and random fields
• D Larlus, J Verbeek, F Jurie.
• └─ paper
• Pervasive Workshop 2010 - Standing on the Shoulders of Other Researchers A Position Statement
• U Blanke, D Larlus, K Van Laerhoven, B Schiele
• └─ paper
• WACV09 - Multi-graph based semi-supervised learning for activity recognition - (Best paper award)
• M Stikic, D Larlus, B Schiele
• └─ paper
• TIP09 - Learning color names for real-world applications
• J Van De Weijer, C Schmid, J Verbeek, D Larlus
• └─ paper
• Image and Vision Computing 2009 - Latent mixture vocabularies for object categorization and segmentation
• D Larlus, F Jurie
• └─ paper
• Humanoids 2008 - Treasure hunting for humanoids robot
• O Stasse, T Foissotte, D Larlus, A Kheddar, K Yokoi
• └─ paper
• PhD Thesis 2008 - Création et utilisation de vocabulaires visuels pour la catégorisation d’images et la segmentation de classes d’objets. D Larlus.
• └─ manuscript
• CVPR08 - Combining appearance models and markov random fields for category level object segmentation
• D Larlus, F Jurie
• └─ paper
• Humanoids 2007 - Towards autonomous object reconstruction for visual search by the humanoid robot hrp-2
• O Stasse, D Larlus, B Lagarde, A Escande, F Saidi, A Kheddar, K Yokoi, F Jurie
• └─ paper
• SPCA 2007 - A supervised clustering algorithm for the initialization of rbf neural network classifiers
• H Cevikalp, D Larlus, F Jurie
• └─ paper
• VISAPP 2007 - Category level object segmentation
• D Larlus, F Jurie
• └─ paper
• Workshop on Machine Learning for Signal Processing 2007 - Local subspace Classifiers: Linear and Non Linear Approaches
• H Cevikalp, D Larlus, M Douze, F Jurie
• └─ paper
• BMVC06 - Latent mixture vocabularies for object categorization
• D Larlus, F Jurie.
• └─ paper
• ECCV Workshop 2006 - Learning saliency maps for object categorization
• F Moosmann, D Larlus, F Jurie.
• └─ paper

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