Arantxa Casanova | DeepAI

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∙ 04/26/2023

Controllable Image Generation via Collage Representations

Recent advances in conditional generative image models have enabled impr...

0 Arantxa Casanova, et al. ∙

∙ 03/16/2023

Instance-Conditioned GAN Data Augmentation for Representation Learning

Data augmentation has become a crucial component to train state-of-the-a...

0 Pietro Astolfi, et al. ∙

∙ 07/20/2022

Revisiting Hotels-50K and Hotel-ID

In this paper, we propose revisited versions for two recent hotel recogn...

0 Aarash Feizi, et al. ∙

∙ 09/10/2021

Instance-Conditioned GAN

Generative Adversarial Networks (GANs) can generate near photo realistic...

1 Arantxa Casanova, et al. ∙

∙ 12/07/2020

Generating unseen complex scenes: are we there yet?

Although recent complex scene conditional generation models generate inc...

0 Arantxa Casanova, et al. ∙

∙ 02/16/2020

Reinforced active learning for image segmentation

Learning-based approaches for semantic segmentation have two inherent ch...

15 Arantxa Casanova, et al. ∙

∙ 04/30/2018

On the iterative refinement of densely connected representation levels for semantic segmentation

State-of-the-art semantic segmentation approaches increase the receptive...

0 Arantxa Casanova, et al. ∙

∙ 10/30/2017

Graph Attention Networks

We present graph attention networks (GATs), novel neural network archite...

0 Petar Veličković, et al. ∙

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