Universitat Autònoma de Barcelona

∙ BELLATERRA , Spain ∙ 0 followers

As of 2012, the university consists of 57 departments in the experimental, life, social and human sciences, spread among 13 faculties/schools.

Kornia: an Open Source Differentiable Computer Vision Library for PyTorch

This work presents Kornia -- an open source computer vision library whic...
10/05/2019 ∙ by Edgar Riba, et al. ∙ 93 ∙ share

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Early Screening of SARS-CoV-2 by Intelligent Analysis of X-Ray Images

Future SARS-CoV-2 virus outbreak COVID-XX might possibly occur during th...
05/28/2020 ∙ by D. Gil, et al. ∙ 54 ∙ share

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Exploring Hate Speech Detection in Multimodal Publications

In this work we target the problem of hate speech detection in multimoda...
10/09/2019 ∙ by Raul Gomez, et al. ∙ 37 ∙ share

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Continual Universal Object Detection

Object detection has improved significantly in recent years on multiple ...
02/13/2020 ∙ by Xialei Liu, et al. ∙ 33 ∙ share

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GANwriting: Content-Conditioned Generation of Styled Handwritten Word Images

Although current image generation methods have reached impressive qualit...
03/05/2020 ∙ by Lei Kang, et al. ∙ 30 ∙ share

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Dense Extreme Inception Network: Towards a Robust CNN Model for Edge Detection

This paper proposes a Deep Learning based edge detector, which is inspir...
09/04/2019 ∙ by Xavier Soria, et al. ∙ 27 ∙ share

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TreyNet: A Neural Model for Text Localization, Transcription and Named Entity Recognition in Full Pages

In the last years, the consolidation of deep neural network architecture...
12/20/2019 ∙ by Manuel Carbonell, et al. ∙ 27 ∙ 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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Simple and effective localized attribute representations for zero-shot learning

Zero-shot learning (ZSL) aims to discriminate images from unseen classes...
06/10/2020 ∙ by Shiqi Yang, et al. ∙ 15 ∙ share

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Memory Replay GANs: learning to generate images from new categories without forgetting

Previous works on sequential learning address the problem of forgetting ...
09/06/2018 ∙ by Chenshen Wu, et al. ∙ 12 ∙ share

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Global Planar Convolutions for improved context aggregation in Brain Tumor Segmentation

In this work, we introduce the Global Planar Convolution module as a bui...
08/27/2019 ∙ by Santi Puch, et al. ∙ 9 ∙ 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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Learning Effective RGB-D Representations for Scene Recognition

Deep convolutional networks (CNN) can achieve impressive results on RGB ...
09/17/2018 ∙ by Xinhang Song, et al. ∙ 8 ∙ share

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Mix and match networks: multi-domain alignment for unpaired image-to-image translation

This paper addresses the problem of inferring unseen cross-domain and cr...
03/08/2019 ∙ by Yaxing Wang, et al. ∙ 8 ∙ 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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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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A Neurodynamical model of Saliency prediction in V1

Computations in the primary visual cortex (area V1 or striate cortex) ha...
11/15/2018 ∙ by David Berga, et al. ∙ 6 ∙ share

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Self-Supervised Learning from Web Data for Multimodal Retrieval

Self-Supervised learning from multimodal image and text data allows deep...
01/07/2019 ∙ by Raul Gomez, et al. ∙ 6 ∙ share

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Fine-grained Image Classification and Retrieval by Combining Visual and Locally Pooled Textual Features

Text contained in an image carries high-level semantics that can be expl...
01/14/2020 ∙ by Andrés Mafla, et al. ∙ 6 ∙ 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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Pay Attention to What You Read: Non-recurrent Handwritten Text-Line Recognition

The advent of recurrent neural networks for handwriting recognition mark...
05/26/2020 ∙ by Lei Kang, et al. ∙ 5 ∙ 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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Learning to Learn from Web Data through Deep Semantic Embeddings

In this paper we propose to learn a multimodal image and text embedding ...
08/20/2018 ∙ by Raul Gomez, et al. ∙ 2 ∙ share

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Single Shot Scene Text Retrieval

Textual information found in scene images provides high level semantic i...
08/27/2018 ∙ by Lluis Gómez, et al. ∙ 2 ∙ share

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Date Estimation in the Wild of Scanned Historical Photos: An Image Retrieval Approach

This paper presents a novel method for date estimation of historical pho...
06/10/2021 ∙ by Adrià Molina, et al. ∙ 2 ∙ share

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Distributed Learning and Inference with Compressed Images

Modern computer vision requires processing large amounts of data, both w...
04/22/2020 ∙ by Sudeep Katakol, et al. ∙ 1 ∙ share

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Does Multimodality Help Human and Machine for Translation and Image Captioning?

This paper presents the systems developed by LIUM and CVC for the WMT16 ...
05/30/2016 ∙ by Ozan Caglayan, et al. ∙ 0 ∙ share

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Colour Terms: a Categorisation Model Inspired by Visual Cortex Neurons

Although it seems counter-intuitive, categorical colours do not exist as...
09/19/2017 ∙ by Arash Akbarinia, et al. ∙ 0 ∙ share

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Domain-adaptive deep network compression

Deep Neural Networks trained on large datasets can be easily transferred...
09/04/2017 ∙ by Marc Masana, et al. ∙ 0 ∙ share

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Review on Computer Vision Techniques in Emergency Situation

In emergency situations, actions that save lives and limit the impact of...
08/24/2017 ∙ by Laura Lopez-Fuentes, et al. ∙ 0 ∙ share

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Pay Attention to Those Sets! Learning Quantification from Images

Major advances have recently been made in merging language and vision re...
04/10/2017 ∙ by Ionut Sorodoc, et al. ∙ 0 ∙ share

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RankIQA: Learning from Rankings for No-reference Image Quality Assessment

We propose a no-reference image quality assessment (NR-IQA) approach tha...
07/26/2017 ∙ by Xialei Liu, et al. ∙ 0 ∙ share

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From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example

Supervised learning tends to produce more accurate classifiers than unsu...
12/29/2016 ∙ by Antonio M. Lopez, et al. ∙ 0 ∙ share

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SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification

Offline signature verification is one of the most challenging tasks in b...
07/07/2017 ∙ by Sounak Dey, et al. ∙ 0 ∙ share

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R-PHOC: Segmentation-Free Word Spotting using CNN

This paper proposes a region based convolutional neural network for segm...
07/05/2017 ∙ by Suman Ghosh, et al. ∙ 0 ∙ share

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Visual attention models for scene text recognition

In this paper we propose an approach to lexicon-free recognition of text...
06/05/2017 ∙ by Suman K. Ghosh, et al. ∙ 0 ∙ share

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Self-supervised learning of visual features through embedding images into text topic spaces

End-to-end training from scratch of current deep architectures for new c...
05/24/2017 ∙ by Lluis Gómez, et al. ∙ 0 ∙ share

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R-Clustering for Egocentric Video Segmentation

In this paper, we present a new method for egocentric video temporal seg...
04/10/2017 ∙ by Estefania Talavera, et al. ∙ 0 ∙ share

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SR-Clustering: Semantic Regularized Clustering for Egocentric Photo Streams Segmentation

While wearable cameras are becoming increasingly popular, locating relev...
12/22/2015 ∙ by Mariella Dimiccoli, et al. ∙ 0 ∙ share

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Product Graph-based Higher Order Contextual Similarities for Inexact Subgraph Matching

Many algorithms formulate graph matching as an optimization of an object...
02/01/2017 ∙ by Anjan Dutta, et al. ∙ 0 ∙ share

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Understanding trained CNNs by indexing neuron selectivity

The impressive performance and plasticity of convolutional neural networ...
02/01/2017 ∙ by Ivet Rafegas, et al. ∙ 0 ∙ share

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Bandwidth limited object recognition in high resolution imagery

This paper proposes a novel method to optimize bandwidth usage for objec...
01/16/2017 ∙ by Laura Lopez-Fuentes, et al. ∙ 0 ∙ share

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Ensembles of Generative Adversarial Networks

Ensembles are a popular way to improve results of discriminative CNNs. T...
12/03/2016 ∙ by Yaxing Wang, et al. ∙ 0 ∙ share

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Procedural Generation of Videos to Train Deep Action Recognition Networks

Deep learning for human action recognition in videos is making significa...
12/02/2016 ∙ by César Roberto de Souza, et al. ∙ 0 ∙ share

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A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

Colorectal cancer (CRC) is the third cause of cancer death worldwide. Cu...
12/02/2016 ∙ by David Vazquez, et al. ∙ 0 ∙ share

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The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

State-of-the-art approaches for semantic image segmentation are built on...
11/28/2016 ∙ by Simon Jégou, et al. ∙ 0 ∙ share

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Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest

Random Forest (RF) is a successful paradigm for learning classifiers due...
11/09/2016 ∙ by Azadeh S. Mozafari, et al. ∙ 0 ∙ share

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Redefining Binarization and the Visual Archetype

Although binarization is considered passe, it still remains a highly pop...
09/29/2016 ∙ by Anguelos Nicolaou, et al. ∙ 0 ∙ share

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Sympathy for the Details: Dense Trajectories and Hybrid Classification Architectures for Action Recognition

Action recognition in videos is a challenging task due to the complexity...
08/25/2016 ∙ by César Roberto de Souza, et al. ∙ 0 ∙ share

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