Diane Larlus

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 67

Top Venues

CoRR

CVPR

ICLR

ICCV

Grenoble Institute of Technology, France (PHD)

Education History

Grenoble Institute of Technology, France

PHD

Publications

Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus
On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models. Trans. Mach. Learn. Res. 2024 (2024)
Yannis Kalantidis, Mert Bülent Sariyildiz, Rafael Sampaio de Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency. CoRR (2024)
Yannis Kalantidis, Mert Bülent Sariyildiz, Rafael S. Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka
Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency. ICLR (2024)
Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus
On Good Practices for Task-Specific Distillation of Large Pretrained Models. CoRR (2024)
Tyler L. Hayes, César R. de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus
PANDAS: Prototype-based Novel Class Discovery and Detection. CoRR (2024)
Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus
RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoLLAs (2023)
Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
EPIC Fields: Marrying 3D Geometry and Video Understanding. CoRR (2023)
Mert Bülent Sariyildiz, Yannis Kalantidis, Karteek Alahari, Diane Larlus
No Reason for No Supervision: Improved Generalization in Supervised Models. ICLR (2023)
Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization. CoRR (2023)
Mert Bülent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis
Fake it Till You Make it: Learning Transferable Representations from Synthetic ImageNet Clones. CVPR (2023)
Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus
RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoRR (2023)
Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
EPIC Fields: Marrying 3D Geometry and Video Understanding. NeurIPS (2023)
Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal
SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization. CVPR (2023)
Ginger Delmas, Rafael Sampaio de Rezende, Gabriela Csurka, Diane Larlus
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity. ICLR (2022)
Ginger Delmas, Rafael Sampaio de Rezende, Gabriela Csurka, Diane Larlus
ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity. CoRR (2022)
Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis
Learning Super-Features for Image Retrieval. ICLR (2022)
Yannis Kalantidis, Carlos Eduardo Rosar Kós Lassance, Jon Almazán, Diane Larlus
TLDR: Twin Learning for Dimensionality Reduction. Trans. Mach. Learn. Res. 2022 (2022)
Mert Bülent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis
Fake it till you make it: Learning(s) from a synthetic ImageNet clone. CoRR (2022)
Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis
Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks. ECCV (14) (2022)
Mert Bülent Sariyildiz, Yannis Kalantidis, Karteek Alahari, Diane Larlus
Improving the Generalization of Supervised Models. CoRR (2022)
Jon Almazán, ByungSoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis
Granularity-aware Adaptation for Image Retrieval over Multiple Tasks. CoRR (2022)
Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis
Learning Super-Features for Image Retrieval. CoRR (2022)
Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
On the Road to Online Adaptation for Semantic Image Segmentation. CoRR (2022)
Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
On the Road to Online Adaptation for Semantic Image Segmentation. CVPR (2022)
Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. CoRR (2022)
Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. 3DV (2022)
Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
Probabilistic Embeddings for Cross-Modal Retrieval. CVPR (2021)
Andrés Mafla, Rafael Sampaio de Rezende, Lluís Gómez, Diane Larlus, Dimosthenis Karatzas
StacMR: Scene-Text Aware Cross-Modal Retrieval. WACV (2021)
Mert Bülent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari
Concept Generalization in Visual Representation Learning. ICCV (2021)
Yannis Kalantidis, Carlos Lassance, Jon Almazán, Diane Larlus
TLDR: Twin Learning for Dimensionality Reduction. CoRR (2021)
Vadim Tschernezki, Diane Larlus, Andrea Vedaldi
NeuralDiff: Segmenting 3D objects that move in egocentric videos. CoRR (2021)
Vadim Tschernezki, Diane Larlus, Andrea Vedaldi
NeuralDiff: Segmenting 3D objects that move in egocentric videos. 3DV (2021)
Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka
Unsupervised Meta-Domain Adaptation for Fashion Retrieval. WACV (2021)
Jonathan Munro, Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen
Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval. CoRR (2021)
Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
Probabilistic Embeddings for Cross-Modal Retrieval. CoRR (2021)
Riccardo Volpi, Diane Larlus, Grégory Rogez
Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning. CVPR (2021)
Riccardo Volpi, Diane Larlus, Grégory Rogez
Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning. CoRR (2020)
David Novotný, Diane Larlus, Andrea Vedaldi
Capturing the Geometry of Object Categories from Video Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Yannis Kalantidis, Mert Bülent Sariyildiz, Noé Pion, Philippe Weinzaepfel, Diane Larlus
Hard Negative Mixing for Contrastive Learning. CoRR (2020)
Mert Bülent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari
Concept Generalization in Visual Representation Learning. CoRR (2020)
Mert Bülent Sariyildiz, Julien Perez, Diane Larlus
Learning Visual Representations with Caption Annotations. ECCV (8) (2020)
Yannis Kalantidis, Mert Bülent Sariyildiz, Noé Pion, Philippe Weinzaepfel, Diane Larlus
Hard Negative Mixing for Contrastive Learning. NeurIPS (2020)
Mert Bülent Sariyildiz, Julien Perez, Diane Larlus
Learning Visual Representations with Caption Annotations. CoRR (2020)
Andrés Mafla, Rafael Sampaio de Rezende, Lluís Gómez, Diane Larlus, Dimosthenis Karatzas
StacMR: Scene-Text Aware Cross-Modal Retrieval. CoRR (2020)
Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. CoRR (2019)
Michael Wray, Gabriela Csurka, Diane Larlus, Dima Damen
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. ICCV (2019)
Jon Almazán, Bojana Gajic, Naila Murray, Diane Larlus
Re-ID done right: towards good practices for person re-identification. CoRR (2018)
David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. CVPR (2018)
David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Semi-convolutional Operators for Instance Segmentation. CoRR (2018)
David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Semi-convolutional Operators for Instance Segmentation. ECCV (1) (2018)
David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. CoRR (2018)
David Novotný, Diane Larlus, Andrea Vedaldi
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching. CoRR (2017)
David Novotný, Diane Larlus, Andrea Vedaldi
Learning 3D Object Categories by Looking Around Them. ICCV (2017)
Albert Gordo, Diane Larlus
Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval. CVPR (2017)
Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus
End-to-End Learning of Deep Visual Representations for Image Retrieval. Int. J. Comput. Vis. 124 (2) (2017)
David Novotný, Diane Larlus, Andrea Vedaldi
Learning 3D Object Categories by Looking Around Them. CoRR (2017)
David Novotný, Diane Larlus, Andrea Vedaldi
AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. CVPR (2017)
Gabriela Csurka, Diane Larlus, Albert Gordo, Jon Almazán
What is the right way to represent document images? CoRR (2016)
José A. Rodríguez-Serrano, Diane Larlus, Zhenwen Dai
Data-Driven Detection of Prominent Objects. IEEE Trans. Pattern Anal. Mach. Intell. 38 (10) (2016)
David Novotný, Diane Larlus, Andrea Vedaldi
I Have Seen Enough: Transferring Parts Across Categories. BMVC (2016)
Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus
Deep Image Retrieval: Learning global representations for image search. CoRR (2016)
David Novotný, Diane Larlus, Andrea Vedaldi
Learning the semantic structure of objects from Web supervision. CoRR (2016)
Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus
End-to-end Learning of Deep Visual Representations for Image Retrieval. CoRR (2016)
David Novotný, Diane Larlus, Andrea Vedaldi
Learning the Structure of Objects from Web Supervision. ECCV Workshops (3) (2016)
Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus
Deep Image Retrieval: Learning Global Representations for Image Search. ECCV (6) (2016)
David Novotný, Diane Larlus, Florent Perronnin, Andrea Vedaldi
Understanding the Fisher Vector: a multimodal part model. CoRR (2015)
Florent Perronnin, Diane Larlus
Fisher vectors meet Neural Networks: A hybrid classification architecture. CVPR (2015)
Neda Salamati, Diane Larlus, Gabriela Csurka, Sabine Süsstrunk
Incorporating Near-Infrared Information into Semantic Image Segmentation. CoRR (2014)
Yangmuzi Zhang, Diane Larlus, Florent Perronnin
What makes an Image Iconic? A Fine-Grained Case Study. CoRR (2014)
Gabriela Csurka, Diane Larlus, Florent Perronnin
What is a good evaluation measure for semantic segmentation?. BMVC (2013)
José A. Rodríguez-Serrano, Diane Larlus
Predicting an Object Location Using a Global Image Representation. ICCV (2013)
Rui Hu, Diane Larlus, Gabriela Csurka
On the use of regions for semantic image segmentation. ICVGIP (2012)
Neda Salamati, Diane Larlus, Gabriela Csurka, Sabine Süsstrunk
Semantic Image Segmentation Using Visible and Near-Infrared Channels. ECCV Workshops (2) (2012)
Neda Salamati, Diane Larlus, Gabriela Csurka
Combining Visible and Near-Infrared Cues for image Categorisation. BMVC (2011)
Luca Marchesotti, Florent Perronnin, Diane Larlus, Gabriela Csurka
Assessing the aesthetic quality of photographs using generic image descriptors. ICCV (2011)
Maja Stikic, Diane Larlus, Sandra Ebert, Bernt Schiele
Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors. IEEE Trans. Pattern Anal. Mach. Intell. 33 (12) (2011)
Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill Triggs, Frédéric Jurie
Manifold Based Local Classifiers: Linear and Nonlinear Approaches. J. Signal Process. Syst. 61 (1) (2010)
Diane Larlus, Jakob J. Verbeek, Frédéric Jurie
Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields. Int. J. Comput. Vis. 88 (2) (2010)
Sandra Ebert, Diane Larlus, Bernt Schiele
Extracting Structures in Image Collections for Object Recognition. ECCV (1) (2010)
Maja Stikic, Diane Larlus, Bernt Schiele
Multi-graph Based Semi-supervised Learning for Activity Recognition. ISWC (2009)
Diane Larlus, Frédéric Jurie
Latent mixture vocabularies for object categorization and segmentation. Image Vis. Comput. 27 (5) (2009)
Joost van de Weijer, Cordelia Schmid, Jakob J. Verbeek, Diane Larlus
Learning Color Names for Real-World Applications. IEEE Trans. Image Process. 18 (7) (2009)
Diane Larlus, Frédéric Jurie
Combining appearance models and Markov Random Fields for category level object segmentation. CVPR (2008)
Diane Larlus, Frédéric Jurie
Category level object segmentation - learning to segment objects with latent aspect models. VISAPP (2) (2007)
Olivier Stasse, Diane Larlus, Baptiste Lagarde, Adrien Escande, François Saïdi, Abderrahmane Kheddar, Kazuhito Yokoi, Frédéric Jurie
Towards autonomous object reconstruction for visual search by the humanoid robot HRP-2. Humanoids (2007)
Diane Larlus, Frédéric Jurie
Latent Mixture Vocabularies for Object Categorization. BMVC (2006)
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, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Thomas L. Griffiths, Frédéric Jurie, Daniel Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos J. Storkey, Sándor Szedmák, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, Jianguo Zhang
The 2005 PASCAL Visual Object Classes Challenge. MLCW (2005)

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Publication Activity (10 Years)

Top Topics

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Diane Larlus