activity
20152021
most citedSmooth Proxy-Anchor Loss for Noisy Metric Learning

3 citations · 8 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 1 cited

Spatio-Temporal Context for Action Detection

Manuel Sarmiento Calderó, David Varas, Elisenda Bou-Balust

Research in action detection has grown in the recentyears, as it plays a key role in video understanding. Modelling the interactions (either spatial or temporal) between actors and…

cs.CV2020★ 3 cited

Smooth Proxy-Anchor Loss for Noisy Metric Learning

Carlos Roig, David Varas, Issey Masuda +2

Many industrial applications use Metric Learning as a way to circumvent scalability issues when designing systems with a high number of classes. Because of this, this field of rese…

cs.CV2020★ 2 cited

Unsupervised Multi-label Dataset Generation from Web Data

Carlos Roig, David Varas, Issey Masuda +2

This paper presents a system towards the generation of multi-label datasets from web data in an unsupervised manner. To achieve this objective, this work comprises two main contrib…

cs.CV2019★ 1 cited

3D hierarchical optimization for Multi-view depth map coding

Marc Maceira, David Varas, Josep-Ramon Morros +2

Depth data has a widespread use since the popularity of high-resolution 3D sensors. In multi-view sequences, depth information is used to supplement the color data of each view. Th…

cs.CV2015★ 1 cited

Multiresolution hierarchy co-clustering for semantic segmentation in sequences with small variations

David Varas, Mónica Alfaro, Ferran Marques

This paper presents a co-clustering technique that, given a collection of images and their hierarchies, clusters nodes from these hierarchies to obtain a coherent multiresolution r…