Abel Gonzalez-Garcia

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Universitat Autònoma de Barcelona

Semi-supervised Learning for Few-shot Image-to-Image Translation

In the last few years, unpaired image-to-image translation has witnessed...
03/30/2020 ∙ by Yaxing Wang, et al. ∙ 5 ∙ share

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

One of the attractive characteristics of deep neural networks is their a...
12/11/2019 ∙ by Yaxing Wang, et al. ∙ 40 ∙ share

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Orderless Recurrent Models for Multi-label Classification

Recurrent neural networks (RNN) are popular for many computer vision tas...
11/22/2019 ∙ by Vacit Oguz Yazici, et al. ∙ 8 ∙ share

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Active Learning for Deep Detection Neural Networks

The cost of drawing object bounding boxes (i.e. labeling) for millions o...
11/20/2019 ∙ by Hamed H. Aghdam, et al. ∙ 19 ∙ share

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Temporal Coherence for Active Learning in Videos

Autonomous driving systems require huge amounts of data to train. Manual...
08/30/2019 ∙ by Javad Zolfaghari Bengar, et al. ∙ 9 ∙ share

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Multi-Modal Fusion for End-to-End RGB-T Tracking

We propose an end-to-end tracking framework for fusing the RGB and TIR m...
08/30/2019 ∙ by Lichao Zhang, et al. ∙ 4 ∙ share

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SDIT: Scalable and Diverse Cross-domain Image Translation

Recently, image-to-image translation research has witnessed remarkable p...
08/19/2019 ∙ by Yaxing Wang, et al. ∙ 5 ∙ share

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Learning the Model Update for Siamese Trackers

Siamese approaches address the visual tracking problem by extracting an ...
08/02/2019 ∙ by Lichao Zhang, et al. ∙ 0 ∙ share

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

The task of unpaired image-to-image translation is highly challenging du...
07/23/2019 ∙ by Yaxing Wang, et al. ∙ 7 ∙ share

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Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data

This paper investigates the role of saliency to improve the classificati...
08/01/2018 ∙ by Carola Figueroa Flores, et al. ∙ 6 ∙ share

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Synthetic data generation for end-to-end thermal infrared tracking

The usage of both off-the-shelf and end-to-end trained deep networks hav...
06/04/2018 ∙ by Lichao Zhang, et al. ∙ 0 ∙ share

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Image-to-image translation for cross-domain disentanglement

Deep image translation methods have recently shown excellent results, ou...
05/24/2018 ∙ by Abel Gonzalez-Garcia, et al. ∙ 2 ∙ share

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Transferring GANs: generating images from limited data

Transferring the knowledge of pretrained networks to new domains by mean...
05/04/2018 ∙ by Yaxing Wang, et al. ∙ 0 ∙ share

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Objects as context for detecting their semantic parts

We present a semantic part detection approach that effectively leverages...
03/28/2017 ∙ by Abel Gonzalez-Garcia, et al. ∙ 0 ∙ share

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Do semantic parts emerge in Convolutional Neural Networks?

Semantic object parts can be useful for several visual recognition tasks...
07/13/2016 ∙ by Abel Gonzalez-Garcia, et al. ∙ 0 ∙ share

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An active search strategy for efficient object class detection

Object class detectors typically apply a window classifier to all the wi...
12/11/2014 ∙ by Abel Gonzalez-Garcia, et al. ∙ 0 ∙ share

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Abel Gonzalez-Garcia

Featured Co-authors

Yoshua Bengio

Fahad Shahbaz Khan

Joost van de Weijer

Vittorio Ferrari

Salman Khan

Martin Danelljan

Antonio M. Lopez

Luis Herranz

Yaxing Wang

Bogdan Raducanu

Davide Modolo

Semi-supervised Learning for Few-shot Image-to-Image Translation

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

Orderless Recurrent Models for Multi-label Classification

Active Learning for Deep Detection Neural Networks

Temporal Coherence for Active Learning in Videos

Multi-Modal Fusion for End-to-End RGB-T Tracking

SDIT: Scalable and Diverse Cross-domain Image Translation

Learning the Model Update for Siamese Trackers

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

Saliency for Fine-grained Object Recognition in Domains with Scarce Training Data

Synthetic data generation for end-to-end thermal infrared tracking

Image-to-image translation for cross-domain disentanglement

Transferring GANs: generating images from limited data

Objects as context for detecting their semantic parts

Do semantic parts emerge in Convolutional Neural Networks?

An active search strategy for efficient object class detection