Diane Larlus - RankMe

102 papers A* 23A 6Misc 1Journal 52Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Mesh4D: 4D Mesh Reconstruction and Tracking from Monocular Video. CoRR Zeren Jiang, Chuanxia Zheng, Iro Laina, Diane Larlus, Andrea Vedaldi
2025	A*	`conf`	DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers. CVPR Mert Bülent Sariyildiz, Philippe Weinzaepfel, Thomas Lucas, Pau de Jorge, Diane Larlus, Yannis Kalantidis
2025	J	`jnl`	DUNE: Distilling a Universal Encoder from Heterogeneous 2D and 3D Teachers. CoRR Mert Bülent Sariyildiz, Philippe Weinzaepfel, Thomas Lucas, Pau de Jorge, Diane Larlus, Yannis Kalantidis
2025	J	`jnl`	Geo4D: Leveraging Video Generators for Geometric 4D Scene Reconstruction. CoRR Zeren Jiang, Chuanxia Zheng, Iro Laina, Diane Larlus, Andrea Vedaldi
2025	A*	`conf`	Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos. CVPR Vadim Tschernezki, Diane Larlus, Iro Laina, Andrea Vedaldi
2025	J	`jnl`	Layered Motion Fusion: Lifting Motion Segmentation to 3D in Egocentric Videos. CoRR Vadim Tschernezki, Diane Larlus, Iro Laina, Andrea Vedaldi
2025	—	`conf`	Lifelong Visual Representation Learning. VISIGRAPP Diane Larlus
2024	J	`jnl`	LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes. CoRR Juliette Marrie, Romain Menegaux, Michael Arbel, Diane Larlus, Julien Mairal
2024	J	`jnl`	On Good Practices for Task-Specific Distillation of Large Pretrained Models. CoRR Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus
2024	J	`jnl`	On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models. Trans. Mach. Learn. Res. Juliette Marrie, Michael Arbel, Julien Mairal, Diane Larlus
2024	—	`conf`	PANDAS: Prototype-based Novel Class Discovery and Detection. CoLLAs Tyler L. Hayes, César Roberto de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus
2024	J	`jnl`	PANDAS: Prototype-based Novel Class Discovery and Detection. CoRR Tyler L. Hayes, César Roberto de Souza, Namil Kim, Jiwon Kim, Riccardo Volpi, Diane Larlus
2024	—	`conf`	UNIC: Universal Classification Models via Multi-teacher Distillation. ECCV (4) Mert Bülent Sariyildiz, Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis
2024	J	`jnl`	UNIC: Universal Classification Models via Multi-teacher Distillation. CoRR Mert Bülent Sariyildiz, Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis
2024	A*	`conf`	Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency. ICLR Yannis Kalantidis, Mert Bülent Sariyildiz, Rafael S. Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka
2024	J	`jnl`	Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency. CoRR Yannis Kalantidis, Mert Bülent Sariyildiz, Rafael Sampaio de Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka
2024	—	`conf`	What Could Go Wrong? Discovering and Describing Failure Modes in Computer Vision. ECCV Workshops (21) Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi
2024	J	`jnl`	What could go wrong? Discovering and describing failure modes in computer vision. CoRR Gabriela Csurka, Tyler L. Hayes, Diane Larlus, Riccardo Volpi
2023	A*	`conf`	EPIC Fields: Marrying 3D Geometry and Video Understanding. NeurIPS Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
2023	J	`jnl`	EPIC Fields: Marrying 3D Geometry and Video Understanding. CoRR Vadim Tschernezki, Ahmad Darkhalil, Zhifan Zhu, David Fouhey, Iro Laina, Diane Larlus, Dima Damen, Andrea Vedaldi
2023	A*	`conf`	Fake it Till You Make it: Learning Transferable Representations from Synthetic ImageNet Clones. CVPR Mert Bülent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis
2023	A*	`conf`	No Reason for No Supervision: Improved Generalization in Supervised Models. ICLR Mert Bülent Sariyildiz, Yannis Kalantidis, Karteek Alahari, Diane Larlus
2023	—	`conf`	RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoLLAs Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus
2023	J	`jnl`	RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation. CoRR Subhankar Roy, Riccardo Volpi, Gabriela Csurka, Diane Larlus
2023	A*	`conf`	SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization. CVPR Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal
2023	J	`jnl`	SLACK: Stable Learning of Augmentations with Cold-start and KL regularization. CoRR Juliette Marrie, Michael Arbel, Diane Larlus, Julien Mairal
2022	A*	`conf`	ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity. ICLR Ginger Delmas, Rafael Sampaio de Rezende, Gabriela Csurka, Diane Larlus
2022	J	`jnl`	ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity. CoRR Ginger Delmas, Rafael Sampaio de Rezende, Gabriela Csurka, Diane Larlus
2022	J	`jnl`	Fake it till you make it: Learning(s) from a synthetic ImageNet clone. CoRR Mert Bülent Sariyildiz, Karteek Alahari, Diane Larlus, Yannis Kalantidis
2022	—	`conf`	Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks. ECCV (14) Jon Almazán, Byungsoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis
2022	J	`jnl`	Granularity-aware Adaptation for Image Retrieval over Multiple Tasks. CoRR Jon Almazán, Byungsoo Ko, Geonmo Gu, Diane Larlus, Yannis Kalantidis
2022	J	`jnl`	Improving the Generalization of Supervised Models. CoRR Mert Bülent Sariyildiz, Yannis Kalantidis, Karteek Alahari, Diane Larlus
2022	A*	`conf`	Learning Super-Features for Image Retrieval. ICLR Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis
2022	J	`jnl`	Learning Super-Features for Image Retrieval. CoRR Philippe Weinzaepfel, Thomas Lucas, Diane Larlus, Yannis Kalantidis
2022	—	`conf`	Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. 3DV Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
2022	J	`jnl`	Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations. CoRR Vadim Tschernezki, Iro Laina, Diane Larlus, Andrea Vedaldi
2022	A*	`conf`	On the Road to Online Adaptation for Semantic Image Segmentation. CVPR Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
2022	J	`jnl`	On the Road to Online Adaptation for Semantic Image Segmentation. CoRR Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka
2022	J	`jnl`	TLDR: Twin Learning for Dimensionality Reduction. Trans. Mach. Learn. Res. Yannis Kalantidis, Carlos Eduardo Rosar Kós Lassance, Jon Almazán, Diane Larlus
2021	A*	`conf`	Concept Generalization in Visual Representation Learning. ICCV Mert Bülent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari
2021	A*	`conf`	Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning. CVPR Riccardo Volpi, Diane Larlus, Grégory Rogez
2021	J	`jnl`	Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval. CoRR Jonathan Munro, Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen
2021	—	`conf`	NeuralDiff: Segmenting 3D objects that move in egocentric videos. 3DV Vadim Tschernezki, Diane Larlus, Andrea Vedaldi
2021	J	`jnl`	NeuralDiff: Segmenting 3D objects that move in egocentric videos. CoRR Vadim Tschernezki, Diane Larlus, Andrea Vedaldi
2021	A*	`conf`	Probabilistic Embeddings for Cross-Modal Retrieval. CVPR Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
2021	J	`jnl`	Probabilistic Embeddings for Cross-Modal Retrieval. CoRR Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus
2021	A	`conf`	StacMR: Scene-Text Aware Cross-Modal Retrieval. WACV Andrés Mafla, Rafael Sampaio de Rezende, Lluís Gómez, Diane Larlus, Dimosthenis Karatzas
2021	J	`jnl`	TLDR: Twin Learning for Dimensionality Reduction. CoRR Yannis Kalantidis, Carlos Lassance, Jon Almazán, Diane Larlus
2021	A	`conf`	Unsupervised Meta-Domain Adaptation for Fashion Retrieval. WACV Vivek Sharma, Naila Murray, Diane Larlus, M. Saquib Sarfraz, Rainer Stiefelhagen, Gabriela Csurka
2020	J	`jnl`	Capturing the Geometry of Object Categories from Video Supervision. IEEE Trans. Pattern Anal. Mach. Intell. David Novotný, Diane Larlus, Andrea Vedaldi
2020	J	`jnl`	Concept Generalization in Visual Representation Learning. CoRR Mert Bülent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari
2020	J	`jnl`	Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning. CoRR Riccardo Volpi, Diane Larlus, Grégory Rogez
2020	A*	`conf`	Hard Negative Mixing for Contrastive Learning. NeurIPS Yannis Kalantidis, Mert Bülent Sariyildiz, Noé Pion, Philippe Weinzaepfel, Diane Larlus
2020	J	`jnl`	Hard Negative Mixing for Contrastive Learning. CoRR Yannis Kalantidis, Mert Bülent Sariyildiz, Noé Pion, Philippe Weinzaepfel, Diane Larlus
2020	—	`conf`	Learning Visual Representations with Caption Annotations. ECCV (8) Mert Bülent Sariyildiz, Julien Perez, Diane Larlus
2020	J	`jnl`	Learning Visual Representations with Caption Annotations. CoRR Mert Bülent Sariyildiz, Julien Perez, Diane Larlus
2020	J	`jnl`	StacMR: Scene-Text Aware Cross-Modal Retrieval. CoRR Andrés Mafla, Rafael Sampaio de Rezende, Lluís Gómez, Diane Larlus, Dimosthenis Karatzas
2019	A*	`conf`	Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. ICCV Michael Wray, Gabriela Csurka, Diane Larlus, Dima Damen
2019	J	`jnl`	Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings. CoRR Michael Wray, Diane Larlus, Gabriela Csurka, Dima Damen
2018	J	`jnl`	Re-ID done right: towards good practices for person re-identification. CoRR Jon Almazán, Bojana Gajic, Naila Murray, Diane Larlus
2018	A*	`conf`	Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. CVPR David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
2018	J	`jnl`	Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection. CoRR David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
2018	—	`conf`	Semi-convolutional Operators for Instance Segmentation. ECCV (1) David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
2018	J	`jnl`	Semi-convolutional Operators for Instance Segmentation. CoRR David Novotný, Samuel Albanie, Diane Larlus, Andrea Vedaldi
2017	A*	`conf`	AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching. CVPR David Novotný, Diane Larlus, Andrea Vedaldi
2017	J	`jnl`	AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching. CoRR David Novotný, Diane Larlus, Andrea Vedaldi
2017	A*	`conf`	Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval. CVPR Albert Gordo, Diane Larlus
2017	J	`jnl`	End-to-End Learning of Deep Visual Representations for Image Retrieval. Int. J. Comput. Vis. Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus
2017	—	`ch.`	Generalizing Semantic Part Detectors Across Domains. Domain Adaptation in Computer Vision Applications David Novotný, Diane Larlus, Andrea Vedaldi
2017	A*	`conf`	Learning 3D Object Categories by Looking Around Them. ICCV David Novotný, Diane Larlus, Andrea Vedaldi
2017	J	`jnl`	Learning 3D Object Categories by Looking Around Them. CoRR David Novotný, Diane Larlus, Andrea Vedaldi
2016	J	`jnl`	Data-Driven Detection of Prominent Objects. IEEE Trans. Pattern Anal. Mach. Intell. José A. Rodríguez-Serrano, Diane Larlus, Zhenwen Dai
2016	—	`conf`	Deep Image Retrieval: Learning Global Representations for Image Search. ECCV (6) Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus
2016	J	`jnl`	Deep Image Retrieval: Learning global representations for image search. CoRR Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus
2016	J	`jnl`	End-to-end Learning of Deep Visual Representations for Image Retrieval. CoRR Albert Gordo, Jon Almazán, Jérôme Revaud, Diane Larlus
2016	A	`conf`	I Have Seen Enough: Transferring Parts Across Categories. BMVC David Novotný, Diane Larlus, Andrea Vedaldi
2016	—	`conf`	Learning the Structure of Objects from Web Supervision. ECCV Workshops (3) David Novotný, Diane Larlus, Andrea Vedaldi
2016	J	`jnl`	Learning the semantic structure of objects from Web supervision. CoRR David Novotný, Diane Larlus, Andrea Vedaldi
2016	J	`jnl`	What is the right way to represent document images? CoRR Gabriela Csurka, Diane Larlus, Albert Gordo, Jon Almazán
2015	A*	`conf`	Fisher vectors meet Neural Networks: A hybrid classification architecture. CVPR Florent Perronnin, Diane Larlus
2015	J	`jnl`	Understanding the Fisher Vector: a multimodal part model. CoRR David Novotný, Diane Larlus, Florent Perronnin, Andrea Vedaldi
2014	J	`jnl`	Incorporating Near-Infrared Information into Semantic Image Segmentation. CoRR Neda Salamati, Diane Larlus, Gabriela Csurka, Sabine Süsstrunk
2014	J	`jnl`	What makes an Image Iconic? A Fine-Grained Case Study. CoRR Yangmuzi Zhang, Diane Larlus, Florent Perronnin
2013	A*	`conf`	Predicting an Object Location Using a Global Image Representation. ICCV José A. Rodríguez-Serrano, Diane Larlus
2013	A	`conf`	What is a good evaluation measure for semantic segmentation?. BMVC Gabriela Csurka, Diane Larlus, Florent Perronnin
2012	—	`conf`	On the use of regions for semantic image segmentation. ICVGIP Rui Hu, Diane Larlus, Gabriela Csurka
2012	—	`conf`	Semantic Image Segmentation Using Visible and Near-Infrared Channels. ECCV Workshops (2) Neda Salamati, Diane Larlus, Gabriela Csurka, Sabine Süsstrunk
2011	A*	`conf`	Assessing the aesthetic quality of photographs using generic image descriptors. ICCV Luca Marchesotti, Florent Perronnin, Diane Larlus, Gabriela Csurka
2011	A	`conf`	Combining Visible and Near-Infrared Cues for image Categorisation. BMVC Neda Salamati, Diane Larlus, Gabriela Csurka
2011	J	`jnl`	Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors. IEEE Trans. Pattern Anal. Mach. Intell. Maja Stikic, Diane Larlus, Sandra Ebert, Bernt Schiele
2010	J	`jnl`	Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields. Int. J. Comput. Vis. Diane Larlus, Jakob Verbeek, Frédéric Jurie
2010	—	`conf`	Extracting Structures in Image Collections for Object Recognition. ECCV (1) Sandra Ebert, Diane Larlus, Bernt Schiele
2010	J	`jnl`	Manifold Based Local Classifiers: Linear and Nonlinear Approaches. J. Signal Process. Syst. Hakan Cevikalp, Diane Larlus, Marian Neamtu, Bill Triggs, Frédéric Jurie
2009	J	`jnl`	Latent mixture vocabularies for object categorization and segmentation. Image Vis. Comput. Diane Larlus, Frédéric Jurie
2009	J	`jnl`	Learning Color Names for Real-World Applications. IEEE Trans. Image Process. Joost van de Weijer, Cordelia Schmid, Jakob Verbeek, Diane Larlus
2009	Misc	`conf`	Multi-graph Based Semi-supervised Learning for Activity Recognition. ISWC Maja Stikic, Diane Larlus, Bernt Schiele
2008	A*	`conf`	Combining appearance models and Markov Random Fields for category level object segmentation. CVPR Diane Larlus, Frédéric Jurie
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
2007	—	`conf`	Category level object segmentation - learning to segment objects with latent aspect models. VISAPP (2) Diane Larlus, Frédéric Jurie
2007	—	`conf`	Towards autonomous object reconstruction for visual search by the humanoid robot HRP-2. Humanoids Olivier Stasse, Diane Larlus, Baptiste Lagarde, Adrien Escande, François Saïdi, Abderrahmane Kheddar, Kazuhito Yokoi, Frédéric Jurie
2006	A	`conf`	Latent Mixture Vocabularies for Object Categorization. BMVC Diane Larlus, Frédéric Jurie
2005	—	`conf`	The 2005 PASCAL Visual Object Classes Challenge. MLCW 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, Tom 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