activity
20142026
most citedLabel-Embedding for Image Classification

805 citations · 849 across the 9 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Task Alignment: A Simple Proxy for Practical Model Merging Across Diverse Vision Tasks

Pau de Jorge, César Roberto de Souza, Björn Michele +5

Efficiently merging several models fine-tuned for different tasks, but stemming from the same pretrained base model, is of great practical interest. Despite extensive prior work, m…

cs.CV2016

Interferences in match kernels

Naila Murray, Hervé Jégou, Florent Perronnin +1

We consider the design of an image representation that embeds and aggregates a set of local descriptors into a single vector. Popular representations of this kind include the bag-o…

cs.CV2016

Polysemous codes

Matthijs Douze, Hervé Jégou, Florent Perronnin

This paper considers the problem of approximate nearest neighbor search in the compressed domain. We introduce polysemous codes, which offer both the distance estimation quality of…

cs.CV2016★ 5 cited

Convolutional Patch Representations for Image Retrieval: an Unsupervised Approach

Mattis Paulin, Julien Mairal, Matthijs Douze +3

Convolutional neural networks (CNNs) have recently received a lot of attention due to their ability to model local stationary structures in natural images in a multi-scale fashion,…

cs.CV2015

Deep Fishing: Gradient Features from Deep Nets

Albert Gordo, Adrien Gaidon, Florent Perronnin

Convolutional Networks (ConvNets) have recently improved image recognition performance thanks to end-to-end learning of deep feed-forward models from raw pixels. Deep learning is a…

cs.CV2015★ 5 cited

Understanding the Fisher Vector: a multimodal part model

David Novotný, Diane Larlus, Florent Perronnin +1

Fisher Vectors and related orderless visual statistics have demonstrated excellent performance in object detection, sometimes superior to established approaches such as the Deforma…