output
20152021
most citedParticular object retrieval with integral max-pooling of CNN activations

677 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions

9 papers

cs.LG2021★ 9 cited

It Takes Two to Tango: Mixup for Deep Metric Learning

Shashanka Venkataramanan, Bill Psomas, Ewa Kijak +3

Metric learning involves learning a discriminative representation such that embeddings of similar classes are encouraged to be close, while embeddings of dissimilar classes are pus…

cs.CV2019★ 2 cited

Training Object Detectors from Few Weakly-Labeled and Many Unlabeled Images

Zhaohui Yang, Miaojing Shi, Chao Xu +2

Weakly-supervised object detection attempts to limit the amount of supervision by dispensing the need for bounding boxes, but still assumes image-level labels on the entire trainin…

cs.HC2019★ 17 cited

Homo Cyberneticus: The Era of Human-AI Integration

Jun Rekimoto

This article is submitted and accepted as ACM UIST 2019 Visions. UIST Visions is a venue for forward thinking ideas to inspire the community. The goal is not to report research but…

cs.CV2019★ 1 cited

Graph convolutional networks for learning with few clean and many noisy labels

Ahmet Iscen, Giorgos Tolias, Yannis Avrithis +2

In this work we consider the problem of learning a classifier from noisy labels when a few clean labeled examples are given. The structure of clean and noisy data is modeled by a g…

cs.AI2018★ 3 cited

Day-ahead time series forecasting: application to capacity planning

Colin Leverger, Vincent Lemaire, Simon Malinowski +2

In the context of capacity planning, forecasting the evolution of informatics servers usage enables companies to better manage their computational resources. We address this proble…

cs.CV2017★ 5 cited

Fast Spectral Ranking for Similarity Search

Ahmet Iscen, Yannis Avrithis, Giorgos Tolias +2

Despite the success of deep learning on representing images for particular object retrieval, recent studies show that the learned representations still lie on manifolds in a high d…

cs.CG2016★ 2 cited

High-dimensional approximate nearest neighbor: k-d Generalized Randomized Forests

Yannis Avrithis, Ioannis Z. Emiris, Georgios Samaras

We propose a new data-structure, the generalized randomized kd forest, or kgeraf, for approximate nearest neighbor searching in high dimensions. In particular, we introduce new ran…

cs.LG2016★ 5 cited

Dense Bag-of-Temporal-SIFT-Words for Time Series Classification

Adeline Bailly, Simon Malinowski, Romain Tavenard +2

Time series classification is an application of particular interest with the increase of data to monitor. Classical techniques for time series classification rely on point-to-point…

cs.CV2015★ 677 cited

Particular object retrieval with integral max-pooling of CNN activations

Giorgos Tolias, Ronan Sicre, Hervé Jégou

Recently, image representation built upon Convolutional Neural Network (CNN) has been shown to provide effective descriptors for image search, outperforming pre-CNN features as sho…