168 citations · 208 across the 16 of their papers we have counts for
14 papers · 1 filter
CARLA-BSP: a simulated dataset with pedestrians
Maciej Wielgosz, Antonio M. López, Muhammad Naveed Riaz
We present a sample dataset featuring pedestrians generated using the ARCANE framework, a new framework for generating datasets in CARLA (0.9.13). We provide use cases for pedestri…
On the Metrics for Evaluating Monocular Depth Estimation
Akhil Gurram, Antonio M. Lopez
Monocular Depth Estimation (MDE) is performed to produce 3D information that can be used in downstream tasks such as those related to on-board perception for Autonomous Vehicles (A…
Unstructured Road Segmentation using Hypercolumn based Random Forests of Local experts
Prassanna Ganesh Ravishankar, Antonio M. Lopez, Gemma M. Sanchez
Monocular vision based road detection methods are mostly based on machine learning methods, relying on classification and feature extraction accuracy, and suffer from appearance, i…
From Virtual to Real World Visual Perception using Domain Adaptation -- The DPM as Example
Antonio M. Lopez, Jiaolong Xu, Jose L. Gomez +2
Supervised learning tends to produce more accurate classifiers than unsupervised learning in general. This implies that training data is preferred with annotations. When addressing…
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez, Jorge Bernal, F. Javier Sánchez +5
Colorectal cancer (CRC) is the third cause of cancer death worldwide. Currently, the standard approach to reduce CRC-related mortality is to perform regular screening in search for…
Node-Adapt, Path-Adapt and Tree-Adapt:Model-Transfer Domain Adaptation for Random Forest
Azadeh S. Mozafari, David Vazquez, Mansour Jamzad +1
Random Forest (RF) is a successful paradigm for learning classifiers due to its ability to learn from large feature spaces and seamlessly integrate multi-class classification, as w…