Diane Larlus

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University of Oxford ∙ xerox ∙ NAVER LABS Corp.

Probabilistic Embeddings for Cross-Modal Retrieval

Cross-modal retrieval methods build a common representation space for sa...
01/13/2021 ∙ by Sanghyuk Chun, et al. ∙ 3 ∙ share

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Concept Generalization in Visual Representation Learning

Measuring concept generalization, i.e., the extent to which models train...
12/10/2020 ∙ by Mert Bülent Sarıyıldız, et al. ∙ 0 ∙ share

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StacMR: Scene-Text Aware Cross-Modal Retrieval

Recent models for cross-modal retrieval have benefited from an increasin...
12/08/2020 ∙ by Andrés Mafla, et al. ∙ 0 ∙ share

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Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning

Most standard learning approaches lead to fragile models which are prone...
12/08/2020 ∙ by Riccardo Volpi, et al. ∙ 0 ∙ share

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Hard Negative Mixing for Contrastive Learning

Contrastive learning has become a key component of self-supervised learn...
10/02/2020 ∙ by Yannis Kalantidis, et al. ∙ 0 ∙ share

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Learning Visual Representations with Caption Annotations

Pretraining general-purpose visual features has become a crucial part of...
08/04/2020 ∙ by Mert Bülent Sarıyıldız, et al. ∙ 0 ∙ share

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Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

We address the problem of cross-modal fine-grained action retrieval betw...
08/09/2019 ∙ by Michael Wray, et al. ∙ 2 ∙ share

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Semi-convolutional Operators for Instance Segmentation

Object detection and instance segmentation are dominated by region-based...
07/27/2018 ∙ by David Novotny, et al. ∙ 2 ∙ share

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Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Self-supervision can dramatically cut back the amount of manually-labell...
04/04/2018 ∙ by David Novotny, et al. ∙ 0 ∙ share

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Re-ID done right: towards good practices for person re-identification

Training a deep architecture using a ranking loss has become standard fo...
01/16/2018 ∙ by Jon Almazan, et al. ∙ 0 ∙ share

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Learning 3D Object Categories by Looking Around Them

Traditional approaches for learning 3D object categories use either synt...
05/10/2017 ∙ by David Novotny, et al. ∙ 0 ∙ share

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End-to-end Learning of Deep Visual Representations for Image Retrieval

While deep learning has become a key ingredient in the top performing me...
10/25/2016 ∙ by Albert Gordo, et al. ∙ 0 ∙ share

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Learning the semantic structure of objects from Web supervision

While recent research in image understanding has often focused on recogn...
07/05/2016 ∙ by David Novotny, et al. ∙ 0 ∙ share

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Deep Image Retrieval: Learning global representations for image search

We propose a novel approach for instance-level image retrieval. It produ...
04/05/2016 ∙ by Albert Gordo, et al. ∙ 0 ∙ share

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What is the right way to represent document images?

In this article we study the problem of document image representation ba...
03/03/2016 ∙ by Gabriela Csurka, et al. ∙ 0 ∙ share

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Understanding the Fisher Vector: a multimodal part model

Fisher Vectors and related orderless visual statistics have demonstrated...
04/18/2015 ∙ by David Novotny, et al. ∙ 0 ∙ share

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What makes an Image Iconic? A Fine-Grained Case Study

A natural approach to teaching a visual concept, e.g. a bird species, is...
08/19/2014 ∙ by Yangmuzi Zhang, et al. ∙ 0 ∙ share

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Incorporating Near-Infrared Information into Semantic Image Segmentation

Recent progress in computational photography has shown that we can acqui...
06/24/2014 ∙ by Neda Salamati, et al. ∙ 0 ∙ share

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Diane Larlus

Featured Co-authors

Andrea Vedaldi

Dimosthenis Karatzas

Dima Damen

Sabine Süsstrunk

Lluis Gómez

Seong Joon Oh

Samuel Albanie

Yannis Kalantidis

Riccardo Volpi

Grégory Rogez

Karteek Alahari

Probabilistic Embeddings for Cross-Modal Retrieval

Concept Generalization in Visual Representation Learning

StacMR: Scene-Text Aware Cross-Modal Retrieval

Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning

Hard Negative Mixing for Contrastive Learning

Learning Visual Representations with Caption Annotations

Fine-Grained Action Retrieval Through Multiple Parts-of-Speech Embeddings

Semi-convolutional Operators for Instance Segmentation

Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Re-ID done right: towards good practices for person re-identification

Learning 3D Object Categories by Looking Around Them

End-to-end Learning of Deep Visual Representations for Image Retrieval

Learning the semantic structure of objects from Web supervision

Deep Image Retrieval: Learning global representations for image search

What is the right way to represent document images?

Understanding the Fisher Vector: a multimodal part model

What makes an Image Iconic? A Fine-Grained Case Study

Incorporating Near-Infrared Information into Semantic Image Segmentation