David Vazquez

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning

Learning from non-stationary data remains a great challenge for machine ...
03/12/2020 ∙ by Massimo Caccia, et al. ∙ 26 ∙ share

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Learning Data Augmentation with Online Bilevel Optimization for Image Classification

Data augmentation is a key practice in machine learning for improving ge...
06/25/2020 ∙ by Saypraseuth Mounsaveng, et al. ∙ 24 ∙ share

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Slanted Stixels: A way to represent steep streets

This work presents and evaluates a novel compact scene representation ba...
10/02/2019 ∙ by Daniel Hernandez-Juarez, et al. ∙ 15 ∙ share

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Context-Aware Visual Compatibility Prediction

How do we determine whether two or more clothing items are compatible or...
02/10/2019 ∙ by Guillem Cucurull, et al. ∙ 14 ∙ share

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Fourier-CPPNs for Image Synthesis

Compositional Pattern Producing Networks (CPPNs) are differentiable netw...
09/20/2019 ∙ by Mattie Tesfaldet, et al. ∙ 14 ∙ share

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Where are the Blobs: Counting by Localization with Point Supervision

Object counting is an important task in computer vision due to its growi...
07/25/2018 ∙ by Issam H. Laradji, et al. ∙ 2 ∙ share

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Instance Segmentation with Point Supervision

Instance segmentation methods often require costly per-pixel labels. We ...
06/14/2019 ∙ by Issam H. Laradji, et al. ∙ 2 ∙ share

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Where are the Masks: Instance Segmentation with Image-level Supervision

A major obstacle in instance segmentation is that existing methods often...
07/02/2019 ∙ by Issam H. Laradji, et al. ∙ 2 ∙ share

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Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation

We propose a Class-Based Styling method (CBS) that can map different sty...
08/30/2019 ∙ by Lironne Kurzman, et al. ∙ 1 ∙ share

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Slanted Stixels: Representing San Francisco's Steepest Streets

In this work we present a novel compact scene representation based on St...
07/17/2017 ∙ by Daniel Hernandez-Juarez, 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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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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GPU-based Pedestrian Detection for Autonomous Driving

We propose a real-time pedestrian detection system for the embedded Nvid...
11/05/2016 ∙ by Victor Campmany, et al. ∙ 0 ∙ share

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GPU-accelerated real-time stixel computation

The Stixel World is a medium-level, compact representation of road scene...
10/13/2016 ∙ by Daniel Hernandez-Juarez, et al. ∙ 0 ∙ share

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Embedded real-time stereo estimation via Semi-Global Matching on the GPU

Dense, robust and real-time computation of depth information from stereo...
10/13/2016 ∙ by Daniel Hernandez-Juarez, et al. ∙ 0 ∙ share

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Hierarchical Adaptive Structural SVM for Domain Adaptation

A key topic in classification is the accuracy loss produced when the dat...
08/22/2014 ∙ by Jiaolong Xu, et al. ∙ 0 ∙ share

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Spatiotemporal Stacked Sequential Learning for Pedestrian Detection

Pedestrian classifiers decide which image windows contain a pedestrian. ...
07/14/2014 ∙ by Alejandro González, et al. ∙ 0 ∙ share

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Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations

Knowledge graphs store facts using relations between pairs of entities. ...
06/01/2019 ∙ by Bahare Fatemi, et al. ∙ 0 ∙ share

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Adversarial Learning of General Transformations for Data Augmentation

Data augmentation (DA) is fundamental against overfitting in large convo...
09/21/2019 ∙ by Saypraseuth Mounsaveng, et al. ∙ 0 ∙ share

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Pix2Shape – Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation

We infer and generate three-dimensional (3D) scene information from a si...
03/23/2020 ∙ by Sai Rajeswar, et al. ∙ 0 ∙ share

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David Vazquez

Featured Co-authors

Yoshua Bengio

Aaron Courville

Marc Pollefeys

Mark Schmidt

Ismail Ben Ayed

Laurent Charlin

Antonio M. Lopez

Irina Rish

Min Lin

Pedro O. Pinheiro

Michal Drozdzal

Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning

Learning Data Augmentation with Online Bilevel Optimization for Image Classification

Slanted Stixels: A way to represent steep streets

Context-Aware Visual Compatibility Prediction

Fourier-CPPNs for Image Synthesis

Where are the Blobs: Counting by Localization with Point Supervision

Instance Segmentation with Point Supervision

Where are the Masks: Instance Segmentation with Image-level Supervision

Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation

Slanted Stixels: Representing San Francisco's Steepest Streets

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

A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images

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

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

GPU-based Pedestrian Detection for Autonomous Driving

GPU-accelerated real-time stixel computation

Embedded real-time stereo estimation via Semi-Global Matching on the GPU

Hierarchical Adaptive Structural SVM for Domain Adaptation

Spatiotemporal Stacked Sequential Learning for Pedestrian Detection

Knowledge Hypergraphs: Extending Knowledge Graphs Beyond Binary Relations

Adversarial Learning of General Transformations for Data Augmentation

Pix2Shape – Towards Unsupervised Learning of 3D Scenes from Images using a View-based Representation