activity
20172023
most citedScene recognition with CNNs: objects, scales and dataset bias

160 citations · 238 across the 11 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

eess.IV2019

Variable Rate Deep Image Compression with Modulated Autoencoder

Fei Yang, Luis Herranz, Joost van de Weijer +3

Variable rate is a requirement for flexible and adaptable image and video compression. However, deep image compression methods are optimized for a single fixed rate-distortion trad…

cs.CV2019

MineGAN: effective knowledge transfer from GANs to target domains with few images

Yaxing Wang, Abel Gonzalez-Garcia, David Berga +3

One of the attractive characteristics of deep neural networks is their ability to transfer knowledge obtained in one domain to other related domains. As a result, high-quality netw…

cs.CV2019

SDIT: Scalable and Diverse Cross-domain Image Translation

Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer +1

Recently, image-to-image translation research has witnessed remarkable progress. Although current approaches successfully generate diverse outputs or perform scalable image transfe…

cs.CV2019★ 3 cited

Controlling biases and diversity in diverse image-to-image translation

Yaxing Wang, Abel Gonzalez-Garcia, Joost van de Weijer +1

The task of unpaired image-to-image translation is highly challenging due to the lack of explicit cross-domain pairs of instances. We consider here diverse image translation (DIT),…

cs.CV2019

Mix and match networks: cross-modal alignment for zero-pair image-to-image translation

Yaxing Wang, Luis Herranz, Joost van de Weijer

This paper addresses the problem of inferring unseen cross-modal image-to-image translations between multiple modalities. We assume that only some of the pairwise translations have…