activity
20162025
most citedPay attention to the activations: a modular attention mechanism for fine-grained image recognition

94 citations · 185 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 2 cited

EarthView: A Large Scale Remote Sensing Dataset for Self-Supervision

Diego Velazquez, Pau Rodriguez López, Sergio Alonso +6

This paper presents EarthView, a comprehensive dataset specifically designed for self-supervision on remote sensing data, intended to enhance deep learning applications on Earth mo…

cs.CV2019★ 94 cited

Pay attention to the activations: a modular attention mechanism for fine-grained image recognition

Pau Rodríguez López, Diego Velazquez Dorta, Guillem Cucurull Preixens +3

Fine-grained image recognition is central to many multimedia tasks such as search, retrieval and captioning. Unfortunately, these tasks are still challenging since the appearance o…

cs.CV2018

Attend and Rectify: a Gated Attention Mechanism for Fine-Grained Recovery

Pau Rodríguez, Josep M. Gonfaus, Guillem Cucurull +2

We propose a novel attention mechanism to enhance Convolutional Neural Networks for fine-grained recognition. It learns to attend to lower-level feature activations without requiri…

cs.CY2018★ 6 cited

Deep Inference of Personality Traits by Integrating Image and Word Use in Social Networks

Guillem Cucurull, Pau Rodríguez, V. Oguz Yazici +3

Social media, as a major platform for communication and information exchange, is a rich repository of the opinions and sentiments of 2.3 billion users about a vast spectrum of topi…

cs.LG2016★ 83 cited

Regularizing CNNs with Locally Constrained Decorrelations

Pau Rodríguez, Jordi Gonzàlez, Guillem Cucurull +2

Regularization is key for deep learning since it allows training more complex models while keeping lower levels of overfitting. However, the most prevalent regularizations do not l…