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06/16/2023
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization
Data augmentation is known to improve the generalization capabilities of...
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06/14/2023
EPIC Fields: Marrying 3D Geometry and Video Understanding
Neural rendering is fuelling a unification of learning, 3D geometry and ...
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05/31/2023
RaSP: Relation-aware Semantic Prior for Weakly Supervised Incremental Segmentation
Class-incremental semantic image segmentation assumes multiple model upd...
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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...
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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...
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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...
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06/30/2022
Improving the Generalization of Supervised Models
We consider the problem of training a deep neural network on a given cla...
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03/30/2022
On the Road to Online Adaptation for Semantic Image Segmentation
We propose a new problem formulation and a corresponding evaluation fram...
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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...
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01/31/2022
Learning Super-Features for Image Retrieval
Methods that combine local and global features have recently shown excel...
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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...
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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...
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10/18/2021
TLDR: Twin Learning for Dimensionality Reduction
Dimensionality reduction methods are unsupervised approaches which learn...
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01/13/2021
Probabilistic Embeddings for Cross-Modal Retrieval
Cross-modal retrieval methods build a common representation space for sa...
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12/10/2020
Concept Generalization in Visual Representation Learning
Measuring concept generalization, i.e., the extent to which models train...
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12/08/2020
StacMR: Scene-Text Aware Cross-Modal Retrieval
Recent models for cross-modal retrieval have benefited from an increasin...
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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...
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10/02/2020
Hard Negative Mixing for Contrastive Learning
Contrastive learning has become a key component of self-supervised learn...
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08/04/2020
Learning Visual Representations with Caption Annotations
Pretraining general-purpose visual features has become a crucial part of...
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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...
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07/27/2018
Semi-convolutional Operators for Instance Segmentation
Object detection and instance segmentation are dominated by region-based...
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04/04/2018
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
Self-supervision can dramatically cut back the amount of manually-labell...
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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...
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05/10/2017
Learning 3D Object Categories by Looking Around Them
Traditional approaches for learning 3D object categories use either synt...
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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...
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07/05/2016
Learning the semantic structure of objects from Web supervision
While recent research in image understanding has often focused on recogn...
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04/05/2016
Deep Image Retrieval: Learning global representations for image search
We propose a novel approach for instance-level image retrieval. It produ...
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03/03/2016
What is the right way to represent document images?
In this article we study the problem of document image representation ba...
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04/18/2015
Understanding the Fisher Vector: a multimodal part model
Fisher Vectors and related orderless visual statistics have demonstrated...
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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...
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06/24/2014
