Diane Larlus | DeepAI

DeepAI

Featured Co-authors

Andrea Vedaldi
129 publications
Dimosthenis Karatzas
49 publications
Dima Damen
43 publications
Samuel Albanie
42 publications
Lluis Gómez
35 publications
Sabine Süsstrunk
34 publications
Karteek Alahari
33 publications
Seong Joon Oh
33 publications
Sanghyuk Chun
28 publications
Yannis Kalantidis
27 publications
Grégory Rogez
24 publications

∙ 12/16/2022

Fake it till you make it: Learning(s) from a synthetic ImageNet clone

Recent large-scale image generation models such as Stable Diffusion have...

Mert Bülent Sarıyıldız, et al. ∙

∙ 10/05/2022

Granularity-aware Adaptation for Image Retrieval over Multiple Tasks

Strong image search models can be learned for a specific domain, ie. set...

Jon Almazan, et al. ∙

∙ 09/07/2022

Neural Feature Fusion Fields: 3D Distillation of Self-Supervised 2D Image Representations

We present Neural Feature Fusion Fields (N3F), a method that improves de...

Vadim Tschernezki, et al. ∙

∙ 06/30/2022

Improving the Generalization of Supervised Models

We consider the problem of training a deep neural network on a given cla...

Mert Bülent Sarıyıldız, et al. ∙

∙ 03/30/2022

On the Road to Online Adaptation for Semantic Image Segmentation

We propose a new problem formulation and a corresponding evaluation fram...

Riccardo Volpi, et al. ∙

∙ 03/15/2022

ARTEMIS: Attention-based Retrieval with Text-Explicit Matching and Implicit Similarity

An intuitive way to search for images is to use queries composed of an e...

Ginger Delmas, et al. ∙

∙ 01/31/2022

Learning Super-Features for Image Retrieval

Methods that combine local and global features have recently shown excel...

Philippe Weinzaepfel, et al. ∙

∙ 10/25/2021

Domain Adaptation in Multi-View Embedding for Cross-Modal Video Retrieval

Given a gallery of uncaptioned video sequences, this paper considers the...

Jonathan Munro, et al. ∙

∙ 10/19/2021

NeuralDiff: Segmenting 3D objects that move in egocentric videos

Given a raw video sequence taken from a freely-moving camera, we study t...

Vadim Tschernezki, et al. ∙

∙ 10/18/2021

TLDR: Twin Learning for Dimensionality Reduction

Dimensionality reduction methods are unsupervised approaches which learn...

Yannis Kalantidis, et al. ∙

∙ 01/13/2021

Probabilistic Embeddings for Cross-Modal Retrieval

Cross-modal retrieval methods build a common representation space for sa...

Sanghyuk Chun, et al. ∙

∙ 12/10/2020

Concept Generalization in Visual Representation Learning

Measuring concept generalization, i.e., the extent to which models train...

Mert Bülent Sarıyıldız, et al. ∙

∙ 12/08/2020

StacMR: Scene-Text Aware Cross-Modal Retrieval

Recent models for cross-modal retrieval have benefited from an increasin...

Andrés Mafla, et al. ∙

∙ 12/08/2020

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

Most standard learning approaches lead to fragile models which are prone...

Riccardo Volpi, et al. ∙

∙ 10/02/2020

Hard Negative Mixing for Contrastive Learning

Contrastive learning has become a key component of self-supervised learn...

Yannis Kalantidis, et al. ∙

∙ 08/04/2020

Learning Visual Representations with Caption Annotations

Pretraining general-purpose visual features has become a crucial part of...

Mert Bülent Sarıyıldız, et al. ∙

∙ 08/09/2019

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

We address the problem of cross-modal fine-grained action retrieval betw...

Michael Wray, et al. ∙

∙ 07/27/2018

Semi-convolutional Operators for Instance Segmentation

Object detection and instance segmentation are dominated by region-based...

David Novotny, et al. ∙

∙ 04/04/2018

Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Self-supervision can dramatically cut back the amount of manually-labell...

David Novotny, et al. ∙

∙ 01/16/2018

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

Training a deep architecture using a ranking loss has become standard fo...

Jon Almazan, et al. ∙

∙ 05/10/2017

Learning 3D Object Categories by Looking Around Them

Traditional approaches for learning 3D object categories use either synt...

David Novotny, et al. ∙

∙ 10/25/2016

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

While deep learning has become a key ingredient in the top performing me...

Albert Gordo, et al. ∙

∙ 07/05/2016

Learning the semantic structure of objects from Web supervision

While recent research in image understanding has often focused on recogn...

David Novotny, et al. ∙

∙ 04/05/2016

Deep Image Retrieval: Learning global representations for image search

We propose a novel approach for instance-level image retrieval. It produ...

Albert Gordo, et al. ∙

∙ 03/03/2016

What is the right way to represent document images?

In this article we study the problem of document image representation ba...

Gabriela Csurka, et al. ∙

∙ 04/18/2015

Understanding the Fisher Vector: a multimodal part model

Fisher Vectors and related orderless visual statistics have demonstrated...

David Novotny, et al. ∙

∙ 08/19/2014

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

A natural approach to teaching a visual concept, e.g. a bird species, is...

Yangmuzi Zhang, et al. ∙

∙ 06/24/2014

Incorporating Near-Infrared Information into Semantic Image Segmentation

Recent progress in computational photography has shown that we can acqui...

Neda Salamati, et al. ∙