Jose M. Alvarez

Scalable Active Learning for Object Detection

Deep Neural Networks trained in a fully supervised fashion are the domin...
04/09/2020 ∙ by Elmar Haussmann, et al. ∙ 13 ∙ share

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Context Based Emotion Recognition using EMOTIC Dataset

In our everyday lives and social interactions we often try to perceive t...
03/30/2020 ∙ by Ronak Kosti, et al. ∙ 2 ∙ share

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Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion

We introduce DeepInversion, a new method for synthesizing images from th...
12/18/2019 ∙ by Hongxu Yin, et al. ∙ 27 ∙ share

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Cost Volume Pyramid Based Depth Inference for Multi-View Stereo

We propose a cost volume based neural network for depth inference from m...
12/18/2019 ∙ by Jiayu Yang, et al. ∙ 18 ∙ share

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VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks

Improving weight sparsity is a common strategy for producing light-weigh...
09/10/2019 ∙ by Shuang Gao, et al. ∙ 0 ∙ share

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Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions

Semantic segmentation with Convolutional Neural Networks is a memory-int...
07/27/2019 ∙ by Kashyap Chitta, et al. ∙ 3 ∙ share

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Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling

Deep Neural Networks (DNNs) often rely on very large datasets for traini...
05/29/2019 ∙ by Kashyap Chitta, et al. ∙ 0 ∙ share

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The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning

One of the main challenges of deep learning tools is their inability to ...
11/29/2018 ∙ by Jiaming Zeng, et al. ∙ 0 ∙ share

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ExpandNets: Exploiting Linear Redundancy to Train Small Networks

While very deep networks can achieve great performance, they are ill-sui...
11/26/2018 ∙ by Shuxuan Guo, et al. ∙ 0 ∙ share

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Large-Scale Visual Active Learning with Deep Probabilistic Ensembles

Annotating the right data for training deep neural networks is an import...
11/08/2018 ∙ by Kashyap Chitta, et al. ∙ 0 ∙ share

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Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization

In this paper, we introduce Deep Probabilistic Ensembles (DPEs), a scala...
11/06/2018 ∙ by Kashyap Chitta, et al. ∙ 0 ∙ share

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Effective Use of Synthetic Data for Urban Scene Semantic Segmentation

Training a deep network to perform semantic segmentation requires large ...
07/16/2018 ∙ by Fatemeh Sadat Saleh, et al. ∙ 0 ∙ share

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Compression-aware Training of Deep Networks

In recent years, great progress has been made in a variety of applicatio...
11/07/2017 ∙ by Jose M. Alvarez, 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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Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation

Pixel-level annotations are expensive and time-consuming to obtain. Henc...
08/15/2017 ∙ by Fatemeh Sadat Saleh, et al. ∙ 0 ∙ share

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Class-Weighted Convolutional Features for Visual Instance Search

Image retrieval in realistic scenarios targets large dynamic datasets of...
07/09/2017 ∙ by Albert Jimenez, et al. ∙ 0 ∙ share

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Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation

Pixel-level annotations are expensive and time consuming to obtain. Henc...
06/06/2017 ∙ by Fatemeh Sadat Saleh, et al. ∙ 0 ∙ share

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Invertible Conditional GANs for image editing

Generative Adversarial Networks (GANs) have recently demonstrated to suc...
11/19/2016 ∙ by Guim Perarnau, et al. ∙ 0 ∙ share

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Learning the Number of Neurons in Deep Networks

Nowadays, the number of layers and of neurons in each layer of a deep ne...
11/19/2016 ∙ by Jose M. Alvarez, et al. ∙ 0 ∙ share

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Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

Pixel-level annotations are expensive and time consuming to obtain. Henc...
09/02/2016 ∙ by Fatemehsadat Saleh, et al. ∙ 0 ∙ share

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Learning Image Matching by Simply Watching Video

This work presents an unsupervised learning based approach to the ubiqui...
03/19/2016 ∙ by Gucan Long, et al. ∙ 0 ∙ share

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Road Detection by One-Class Color Classification: Dataset and Experiments

Detecting traversable road areas ahead a moving vehicle is a key process...
12/11/2014 ∙ by Jose M. Alvarez, et al. ∙ 0 ∙ share

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Road Detection via On--line Label Transfer

Vision-based road detection is an essential functionality for supporting...
12/10/2014 ∙ by Jose M. Alvarez, et al. ∙ 0 ∙ share

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Jose M. Alvarez

Featured Co-authors

Jan Kautz

Mathieu Salzmann

Xin Liu

Hongdong Li

Joost van de Weijer

Xavier Giro-i-Nieto

Martial Hebert

Stephen Gould

Lars Petersson

Antonio M. Lopez

Luis Herranz

Scalable Active Learning for Object Detection

Context Based Emotion Recognition using EMOTIC Dataset

Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion

Cost Volume Pyramid Based Depth Inference for Multi-View Stereo

VACL: Variance-Aware Cross-Layer Regularization for Pruning Deep Residual Networks

Quadtree Generating Networks: Efficient Hierarchical Scene Parsing with Sparse Convolutions

Less is More: An Exploration of Data Redundancy with Active Dataset Subsampling

The Relevance of Bayesian Layer Positioning to Model Uncertainty in Deep Bayesian Active Learning

ExpandNets: Exploiting Linear Redundancy to Train Small Networks

Large-Scale Visual Active Learning with Deep Probabilistic Ensembles

Deep Probabilistic Ensembles: Approximate Variational Inference through KL Regularization

Effective Use of Synthetic Data for Urban Scene Semantic Segmentation

Compression-aware Training of Deep Networks

Domain-adaptive deep network compression

Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation

Class-Weighted Convolutional Features for Visual Instance Search

Incorporating Network Built-in Priors in Weakly-supervised Semantic Segmentation

Invertible Conditional GANs for image editing

Learning the Number of Neurons in Deep Networks

Built-in Foreground/Background Prior for Weakly-Supervised Semantic Segmentation

Learning Image Matching by Simply Watching Video

Road Detection by One-Class Color Classification: Dataset and Experiments

Road Detection via On--line Label Transfer