Jordi Gonzalez — accepted AI-conference papers

2026

MV-Fashion: Towards Enabling Virtual Try-On and Size Estimation with Multi-View Paired Data

Hunor Laczkó, Libang Jia, Loc-Phat Truong, Diego Hernández, Sergio Escalera, Jordi Gonzalez +1

CVPR 2026

Existing 4D human datasets fall short for fashion-specific research, lacking either realistic garment dynamics or task-specific annotations. Synthetic datasets suffer from a realism gap, whereas real-world captures lack the detailed annotations and paired data required for virtual try-on (VTON) and

Cited by 0 Source ↗code ↗Scholar ↗

2018

Attend and Rectify: a gated attention mechanism for fine-grained recovery

Pau Rodriguez, Josep M. Gonfaus, Guillem Cucurull, F. XavierRoca, Jordi Gonzalez

ECCV 2018poster

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 requiring part annotations and uses these activations to update and rectify the output likelihood distribution. In contrast to…

Cited by 54 Source ↗PDF ↗code ↗Scholar ↗