Diane Larlus

According to our database1, Diane Larlus authored at least 68 papers between 2005 and 2024.

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Bibliography

2024
On Good Practices for Task-Specific Distillation of Large Pretrained Visual Models.
Trans. Mach. Learn. Res., 2024

LUDVIG: Learning-free Uplifting of 2D Visual features to Gaussian Splatting scenes.
CoRR, 2024

What could go wrong? Discovering and describing failure modes in computer vision.
CoRR, 2024

PANDAS: Prototype-based Novel Class Discovery and Detection.
CoRR, 2024

On Good Practices for Task-Specific Distillation of Large Pretrained Models.
CoRR, 2024

Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

UNIC: Universal Classification Models via Multi-teacher Distillation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
EPIC Fields: Marrying 3D Geometry and Video Understanding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

No Reason for No Supervision: Improved Generalization in Supervised Models.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fake it Till You Make it: Learning Transferable Representations from Synthetic ImageNet Clones.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SLACK: Stable Learning of Augmentations with Cold-Start and KL Regularization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
TLDR: Twin Learning for Dimensionality Reduction.
Trans. Mach. Learn. Res., 2022

Fake it till you make it: Learning(s) from a synthetic ImageNet clone.
CoRR, 2022

Improving the Generalization of Supervised Models.
CoRR, 2022

Learning Super-Features for Image Retrieval.
Proceedings of the Tenth International Conference on Learning Representations, 2022

ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Granularity-Aware Adaptation for Image Retrieval Over Multiple Tasks.
Proceedings of the Computer Vision - ECCV 2022, 2022

On the Road to Online Adaptation for Semantic Image Segmentation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations.
Proceedings of the International Conference on 3D Vision, 2022

2021
Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval.
CoRR, 2021

StacMR: Scene-Text Aware Cross-Modal Retrieval.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Unsupervised Meta-Domain Adaptation for Fashion Retrieval.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Concept Generalization in Visual Representation Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Probabilistic Embeddings for Cross-Modal Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

NeuralDiff: Segmenting 3D objects that move in egocentric videos.
Proceedings of the International Conference on 3D Vision, 2021

2020
Capturing the Geometry of Object Categories from Video Supervision.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Hard Negative Mixing for Contrastive Learning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Learning Visual Representations with Caption Annotations.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018
Re-ID done right: towards good practices for person re-identification.
CoRR, 2018

Semi-convolutional Operators for Instance Segmentation.
Proceedings of the Computer Vision - ECCV 2018, 2018

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Generalizing Semantic Part Detectors Across Domains.
Proceedings of the Domain Adaptation in Computer Vision Applications., 2017

End-to-End Learning of Deep Visual Representations for Image Retrieval.
Int. J. Comput. Vis., 2017

Learning 3D Object Categories by Looking Around Them.
Proceedings of the IEEE International Conference on Computer Vision, 2017

AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Beyond Instance-Level Image Retrieval: Leveraging Captions to Learn a Global Visual Representation for Semantic Retrieval.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016
Data-Driven Detection of Prominent Objects.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Learning the semantic structure of objects from Web supervision.
CoRR, 2016

What is the right way to represent document images?
CoRR, 2016

Learning the Structure of Objects from Web Supervision.
Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

Deep Image Retrieval: Learning Global Representations for Image Search.
Proceedings of the Computer Vision - ECCV 2016, 2016

I Have Seen Enough: Transferring Parts Across Categories.
Proceedings of the British Machine Vision Conference 2016, 2016

2015
Understanding the Fisher Vector: a multimodal part model.
CoRR, 2015

Fisher vectors meet Neural Networks: A hybrid classification architecture.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
What makes an Image Iconic? A Fine-Grained Case Study.
CoRR, 2014

Incorporating Near-Infrared Information into Semantic Image Segmentation.
CoRR, 2014

2013
Predicting an Object Location Using a Global Image Representation.
Proceedings of the IEEE International Conference on Computer Vision, 2013

What is a good evaluation measure for semantic segmentation?.
Proceedings of the British Machine Vision Conference, 2013

2012
On the use of regions for semantic image segmentation.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Semantic Image Segmentation Using Visible and Near-Infrared Channels.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

2011
Weakly Supervised Recognition of Daily Life Activities with Wearable Sensors.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Assessing the aesthetic quality of photographs using generic image descriptors.
Proceedings of the IEEE International Conference on Computer Vision, 2011

Combining Visible and Near-Infrared Cues for image Categorisation.
Proceedings of the British Machine Vision Conference, 2011

2010
Manifold Based Local Classifiers: Linear and Nonlinear Approaches.
J. Signal Process. Syst., 2010

Category Level Object Segmentation by Combining Bag-of-Words Models with Dirichlet Processes and Random Fields.
Int. J. Comput. Vis., 2010

Extracting Structures in Image Collections for Object Recognition.
Proceedings of the Computer Vision, 2010

2009
Learning Color Names for Real-World Applications.
IEEE Trans. Image Process., 2009

Latent mixture vocabularies for object categorization and segmentation.
Image Vis. Comput., 2009

Multi-graph Based Semi-supervised Learning for Activity Recognition.
Proceedings of the 13th IEEE International Symposium on Wearable Computers (ISWC 2009), 2009

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).
PhD thesis, 2008

Combining appearance models and Markov Random Fields for category level object segmentation.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Category level object segmentation - learning to segment objects with latent aspect models.
Proceedings of the VISAPP 2007: Proceedings of the Second International Conference on Computer Vision Theory and Applications, Barcelona, Spain, March 8-11, 2007, 2007

Towards autonomous object reconstruction for visual search by the humanoid robot HRP-2.
Proceedings of the 2007 7th IEEE-RAS International Conference on Humanoid Robots, November 29th, 2007

2006
Latent Mixture Vocabularies for Object Categorization.
Proceedings of the British Machine Vision Conference 2006, 2006

2005


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