The 2005 PASCAL Visual Object Classes Challenge. - Mark Everingham; Andrew Zisserman; Christopher K. I. Williams; Luc Van Gool; Moray Allan; Christopher M. Bishop; Olivier Chapelle; Navneet Dalal; Thomas Deselaers; Gyuri Dorkó; Stefan Duffner; Jan Eichhorn; et al. (MLCW, 2005)

Latent Mixture Vocabularies for Object Categorization. - Diane Larlus; Frédéric Jurie (BMVC, 2006)

Towards autonomous object reconstruction for visual search by the humanoid robot HRP-2. - Olivier Stasse; Diane Larlus; Baptiste Lagarde; Adrien Escande; François Saïdi; Abderrahmane Kheddar; Kazuhito Yokoi; Frédéric Jurie (Humanoids, 2007)

Category level object segmentation - learning to segment objects with latent aspect models. - Diane Larlus; Frédéric Jurie (VISAPP (2), 2007)

Combining appearance models and Markov Random Fields for category level object segmentation. - Diane Larlus; Frédéric Jurie (CVPR, 2008)

Création et utilisation de vocabulaires visuels pour la catégorisation d'images et la segmentation de classes d'objets. (Creating and using visual vocabularies for image categorization and object class segmentation). - Diane Larlus (2008)

Multi-graph Based Semi-supervised Learning for Activity Recognition. - Maja Stikic; Diane Larlus; Bernt Schiele (ISWC, 2009)

Latent mixture vocabularies for object categorization and segmentation. - Diane Larlus; Frédéric Jurie (Image Vis. Comput., 2009)

Learning Color Names for Real-World Applications. - Joost van de Weijer 001; Cordelia Schmid; Jakob Verbeek; Diane Larlus (IEEE Trans. Image Process., 2009)

Extracting Structures in Image Collections for Object Recognition. - Sandra Ebert; Diane Larlus; Bernt Schiele (ECCV (1), 2010)

Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields. - Diane Larlus; Jakob Verbeek; Frédéric Jurie (Int. J. Comput. Vis., 2010)

Manifold Based Local Classifiers: Linear and Nonlinear Approaches. - Hakan Cevikalp; Diane Larlus; Marian Neamtu; Bill Triggs; Frédéric Jurie (J. Signal Process. Syst., 2010)

Combining Visible and Near-Infrared Cues for image Categorisation. - Neda Salamati; Diane Larlus; Gabriela Csurka (BMVC, 2011)

Assessing the aesthetic quality of photographs using generic image descriptors. - Luca Marchesotti; Florent Perronnin; Diane Larlus; Gabriela Csurka (ICCV, 2011)

Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors. - Maja Stikic; Diane Larlus; Sandra Ebert; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Semantic Image Segmentation Using Visible and Near-Infrared Channels. - Neda Salamati; Diane Larlus; Gabriela Csurka; Sabine Süsstrunk (ECCV Workshops (2), 2012)

On the use of regions for semantic image segmentation. - Rui Hu 007; Diane Larlus; Gabriela Csurka (ICVGIP, 2012)

What is a good evaluation measure for semantic segmentation?. - Gabriela Csurka; Diane Larlus; Florent Perronnin (BMVC, 2013)

Predicting an Object Location Using a Global Image Representation. - José A. Rodríguez-Serrano; Diane Larlus (ICCV, 2013)

Incorporating Near-Infrared Information into Semantic Image Segmentation. - Neda Salamati; Diane Larlus; Gabriela Csurka; Sabine Süsstrunk (CoRR, 2014)

What makes an Image Iconic? A Fine-Grained Case Study. - Yangmuzi Zhang; Diane Larlus; Florent Perronnin (CoRR, 2014)

Fisher vectors meet Neural Networks: A hybrid classification architecture. - Florent Perronnin; Diane Larlus (CVPR, 2015)

Understanding the Fisher Vector: a multimodal part model. - David Novotný; Diane Larlus; Florent Perronnin; Andrea Vedaldi (CoRR, 2015)

I Have Seen Enough: Transferring Parts Across Categories. - David Novotný; Diane Larlus; Andrea Vedaldi (BMVC, 2016)

Deep Image Retrieval: Learning Global Representations for Image Search. - Albert Gordo; Jon Almazán; Jérôme Revaud; Diane Larlus (ECCV (6), 2016)

Learning the Structure of Objects from Web Supervision. - David Novotný; Diane Larlus; Andrea Vedaldi (ECCV Workshops (3), 2016)

What is the right way to represent document images? - Gabriela Csurka; Diane Larlus; Albert Gordo; Jon Almazán (CoRR, 2016)

Learning the semantic structure of objects from Web supervision. - David Novotný; Diane Larlus; Andrea Vedaldi (CoRR, 2016)

Data-Driven Detection of Prominent Objects. - José A. Rodríguez-Serrano; Diane Larlus; Zhenwen Dai (IEEE Trans. Pattern Anal. Mach. Intell., 2016)

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

AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. - David Novotný; Diane Larlus; Andrea Vedaldi (CVPR, 2017)

Learning 3D Object Categories by Looking Around Them. - David Novotný; Diane Larlus; Andrea Vedaldi (ICCV, 2017)

End-to-End Learning of Deep Visual Representations for Image Retrieval. - Albert Gordo; Jon Almazán; Jérôme Revaud; Diane Larlus (Int. J. Comput. Vis., 2017)

Generalizing Semantic Part Detectors Across Domains. - David Novotný; Diane Larlus; Andrea Vedaldi (Domain Adaptation in Computer Vision Applications, 2017)

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. - David Novotný; Samuel Albanie; Diane Larlus; Andrea Vedaldi (CVPR, 2018)

Semi-convolutional Operators for Instance Segmentation. - David Novotný; Samuel Albanie; Diane Larlus; Andrea Vedaldi (ECCV (1), 2018)

Re-ID done right: towards good practices for person re-identification. - Jon Almazán; Bojana Gajic; Naila Murray; Diane Larlus (CoRR, 2018)

Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. - Michael Wray; Gabriela Csurka; Diane Larlus; Dima Damen (ICCV, 2019)

Learning Visual Representations with Caption Annotations. - Mert Bülent Sariyildiz; Julien Perez; Diane Larlus (ECCV (8), 2020)

Hard Negative Mixing for Contrastive Learning. - Yannis Kalantidis; Mert Bülent Sariyildiz; Noé Pion; Philippe Weinzaepfel; Diane Larlus (NeurIPS, 2020)

Capturing the Geometry of Object Categories from Video Supervision. - David Novotný; Diane Larlus; Andrea Vedaldi (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

NeuralDiff: Segmenting 3D objects that move in egocentric videos. - Vadim Tschernezki; Diane Larlus; Andrea Vedaldi (3DV, 2021)

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

Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning. - Riccardo Volpi; Diane Larlus; Grégory Rogez (CVPR, 2021)

Concept Generalization in Visual Representation Learning. - Mert Bülent Sariyildiz; Yannis Kalantidis; Diane Larlus; Karteek Alahari (ICCV, 2021)

Unsupervised Meta-Domain Adaptation for Fashion Retrieval. - Vivek Sharma 001; Naila Murray; Diane Larlus; M. Saquib Sarfraz; Rainer Stiefelhagen; Gabriela Csurka (WACV, 2021)

StacMR: Scene-Text Aware Cross-Modal Retrieval. - Andrés Mafla; Rafael Sampaio de Rezende; Lluís Gómez; Diane Larlus; Dimosthenis Karatzas (WACV, 2021)

Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval. - Jonathan Munro; Michael Wray; Diane Larlus; Gabriela Csurka; Dima Damen (CoRR, 2021)

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. - Vadim Tschernezki; Iro Laina; Diane Larlus; Andrea Vedaldi (3DV, 2022)

On the Road to Online Adaptation for Semantic Image Segmentation. - Riccardo Volpi; Pau de Jorge; Diane Larlus; Gabriela Csurka (CVPR, 2022)

Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks. - Jon Almazán; ByungSoo Ko; Geonmo Gu; Diane Larlus; Yannis Kalantidis (ECCV (14), 2022)

ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity. - Ginger Delmas; Rafael Sampaio de Rezende; Gabriela Csurka; Diane Larlus (ICLR, 2022)

Learning Super-Features for Image Retrieval. - Philippe Weinzaepfel; Thomas Lucas 002; Diane Larlus; Yannis Kalantidis (ICLR, 2022)

Improving the Generalization of Supervised Models. - Mert Bülent Sariyildiz; Yannis Kalantidis; Karteek Alahari; Diane Larlus (CoRR, 2022)

Fake it till you make it: Learning(s) from a synthetic ImageNet clone. - Mert Bülent Sariyildiz; Karteek Alahari; Diane Larlus; Yannis Kalantidis (CoRR, 2022)

TLDR: Twin Learning for Dimensionality Reduction. - Yannis Kalantidis; Carlos Eduardo Rosar Kós Lassance; Jon Almazán; Diane Larlus (Trans. Mach. Learn. Res., 2022)

RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. - Subhankar Roy; Riccardo Volpi; Gabriela Csurka; Diane Larlus (CoLLAs, 2023)

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

Fake it Till You Make it: Learning Transferable Representations from Synthetic ImageNet Clones. - Mert Bülent Sariyildiz; Karteek Alahari; Diane Larlus; Yannis Kalantidis (CVPR, 2023)

No Reason for No Supervision: Improved Generalization in Supervised Models. - Mert Bülent Sariyildiz; Yannis Kalantidis; Karteek Alahari; Diane Larlus (ICLR, 2023)

EPIC Fields: Marrying 3D Geometry and Video Understanding. - Vadim Tschernezki; Ahmad Darkhalil; Zhifan Zhu 001; David Fouhey; Iro Laina; Diane Larlus; Dima Damen; Andrea Vedaldi (NeurIPS, 2023)

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

What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision. - Gabriela Csurka; Tyler L. Hayes; Diane Larlus; Riccardo Volpi (ECCV Workshops (21), 2024)

UNIC: Universal Classification Models via Multi-teacher Distillation. - Mert Bülent Sariyildiz; Philippe Weinzaepfel; Thomas Lucas 002; Diane Larlus; Yannis Kalantidis (ECCV (4), 2024)

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

On Good Practices for Task-Specific Distillation of Large Pretrained Models. - Juliette Marrie; Michael Arbel; Julien Mairal; Diane Larlus (CoRR, 2024)

LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes. - Juliette Marrie; Romain Menegaux; Michael Arbel; Diane Larlus; Julien Mairal (CoRR, 2024)

On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models. - Juliette Marrie; Michael Arbel; Julien Mairal; Diane Larlus (Trans. Mach. Learn. Res., 2024)

DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers. - Mert Bülent Sariyildiz; Philippe Weinzaepfel; Thomas Lucas 002; Pau de Jorge; Diane Larlus; Yannis Kalantidis (CVPR, 2025)

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

Lifelong Visual Representation Learning. - Diane Larlus (VISIGRAPP, 2025)

Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction. - Zeren Jiang; Chuanxia Zheng; Iro Laina; Diane Larlus; Andrea Vedaldi (CoRR, 2025)