Search Results for author: David Vázquez

Found 9 papers, 6 papers with code

Spatiotemporal Stacked Sequential Learning for Pedestrian Detection

no code implementations14 Jul 2014 Alejandro González, Sebastian Ramos, David Vázquez, Antonio M. López, Jaume Amores

In particular, we propose to use two-stage classifiers which not only rely on the image descriptors required by the base classifiers but also on the response of such base classifiers in a given spatiotemporal neighborhood.

Pedestrian Detection

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

1 code implementation13 Oct 2016 Daniel Hernandez-Juarez, Alejandro Chacón, Antonio Espinosa, David Vázquez, Juan Carlos Moure, Antonio Manuel López

Dense, robust and real-time computation of depth information from stereo-camera systems is a computationally demanding requirement for robotics, advanced driver assistance systems (ADAS) and autonomous vehicles.

Autonomous Vehicles Disparity Estimation

GPU-accelerated real-time stixel computation

1 code implementation13 Oct 2016 Daniel Hernandez-Juarez, Antonio Espinosa, David Vázquez, Antonio Manuel López, Juan Carlos Moure

The Stixel World is a medium-level, compact representation of road scenes that abstracts millions of disparity pixels into hundreds or thousands of stixels.

Slanted Stixels: Representing San Francisco's Steepest Streets

1 code implementation17 Jul 2017 Daniel Hernandez-Juarez, Lukas Schneider, Antonio Espinosa, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys, Juan C. Moure

In this work we present a novel compact scene representation based on Stixels that infers geometric and semantic information.

Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images

1 code implementation21 Jul 2023 Saypraseuth Mounsaveng, Issam Laradji, David Vázquez, Marco Perdersoli, Ismail Ben Ayed

Experimental results show that our model can learn color and affine transformations that are more helpful to train an image classifier than predefined DA transformations, which are also more expensive as they need to be selected before the training by grid search on a validation set.

Bilevel Optimization Data Augmentation

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