Training a Convolutional Neural Network for Appearance-Invariant Place Recognition. - Ruben Gomez-Ojeda; Manuel Lopez-Antequera; Nicolai Petkov; Javier González Jiménez 001 (CoRR, 2015)

Image-based localization using Gaussian Processes. - Manuel Lopez-Antequera; Nicolai Petkov; Javier González Jiménez 001 (IPIN, 2016)

City-scale continuous visual localization. - Manuel Lopez-Antequera; Nicolai Petkov; Javier González Jiménez 001 (ECMR, 2017)

Evaluation of Whole-Image Descriptors for Metric Localization. - Manuel Lopez-Antequera; Javier González Jiménez 001; Nicolai Petkov (EUROCAST (2), 2017)

Appearance-invariant place recognition by discriminatively training a convolutional neural network. - Manuel Lopez-Antequera; Ruben Gomez-Ojeda; Nicolai Petkov; Javier González Jiménez 001 (Pattern Recognit. Lett., 2017)

Robust Planar Odometry Based on Symmetric Range Flow and Multiscan Alignment. - Mariano Jaimez; Javier Gonzalez Monroy; Manuel Lopez-Antequera; Javier González Jiménez 001 (IEEE Trans. Robotics, 2018)

Disentangling Monocular 3D Object Detection. - Andrea Simonelli; Samuel Rota Bulò; Lorenzo Porzi; Manuel Lopez-Antequera; Peter Kontschieder (ICCV, 2019)

TB-Places: A Data Set for Visual Place Recognition in Garden Environments. - Maria Leyva-Vallina; Nicola Strisciuglio; Manuel Lopez-Antequera; Radim Tylecek; Michael Blaich; Nicolai Petkov (IEEE Access, 2019)

Place and Object Recognition by CNN-Based COSFIRE Filters. - Manuel Lopez-Antequera; Maria Leyva-Vallina; Nicola Strisciuglio; Nicolai Petkov (IEEE Access, 2019)

A Push-Pull Layer Improves Robustness of Convolutional Neural Networks. - Nicola Strisciuglio; Manuel Lopez-Antequera; Nicolai Petkov (CoRR, 2019)

Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition. - Frederik Warburg; Søren Hauberg; Manuel López-Antequera; Pau Gargallo; Yubin Kuang; Javier Civera 001 (CVPR, 2020)

Mapillary Planet-Scale Depth Dataset. - Manuel Lopez-Antequera; Pau Gargallo; Markus Hofinger; Samuel Rota Bulò; Yubin Kuang; Peter Kontschieder (ECCV (2), 2020)

Enhanced robustness of convolutional networks with a push-pull inhibition layer. - Nicola Strisciuglio; Manuel Lopez-Antequera; Nicolai Petkov (Neural Comput. Appl., 2020)

CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization. - Ara Jafarzadeh; Manuel López-Antequera; Pau Gargallo; Yubin Kuang; Carl Toft; Fredrik Kahl; Torsten Sattler (ICCV, 2021)

SparseFormer: Attention-based Depth Completion Network. - Frederik Warburg; Michaël Ramamonjisoa; Manuel López-Antequera (CoRR, 2022)

Disentangling Monocular 3D Object Detection: From Single to Multi-Class Recognition. - Andrea Simonelli; Samuel Rota Bulò; Lorenzo Porzi; Manuel López-Antequera; Peter Kontschieder (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Discontinuity-aware Normal Integration for Generic Central Camera Models. - Francesco Milano 001; Manuel López-Antequera; Naina Dhingra; Roland Siegwart; Robert Thiel (CoRR, 2025)