Antonio M. López

ORCID

Publication Activity (10 Years)

Years Active: 1996-2024
Publications (10 Years): 85

Top Venues

CoRR

Sensors

Int. J. Comput. Vis.

IEEE Trans. Intell. Transp. Syst.

Publications

Yachan Guo, Yi Xiao, Danna Xue, Jose Luis Gomez Zurita, Antonio M. López
Synth-to-Real Unsupervised Domain Adaptation for Instance Segmentation. CoRR (2024)
Diego Porres, Yi Xiao, Gabriel Villalonga, Alexandre Levy, Antonio M. López
Guiding Attention in End-to-End Driving Models. CoRR (2024)
Yufan Zhu, Chongzhi Ran, Mingtao Feng, Weisheng Dong, Antonio M. López, Guangming Shi
Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation. CoRR (2024)
Muhammad Naveed Riaz, Maciej Wielgosz, Abel Garcia Romera, Antonio M. López
Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction. CoRR (2024)
Tao Lian, Jose L. Gómez, Antonio M. López
Divide, Ensemble and Conquer: The Last Mile on Unsupervised Domain Adaptation for On-Board Semantic Segmentation. CoRR (2024)
Diego Porres, Yi Xiao, Gabriel Villalonga, Alexandre Levy, Antonio M. López
Guiding Attention in End-to-End Driving Models. IV (2024)
Yi Xiao, Felipe Codevilla, Diego Porres, Antonio M. López
Scaling Vision-Based End-to-End Autonomous Driving with Multi-View Attention Learning. IROS (2023)
Muhammad Naveed Riaz, Maciej Wielgosz, Abel Garcia Romera, Antonio M. López
Synthetic Data Generation Framework, Dataset, and Efficient Deep Model for Pedestrian Intention Prediction. ITSC (2023)
Jose Luis Gómez, Gabriel Villalonga, Antonio M. López
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models. Sensors 23 (2) (2023)
Yi Xiao, Felipe Codevilla, Diego Porres, Antonio M. López
Scaling Self-Supervised End-to-End Driving with Multi-View Attention Learning. CoRR (2023)
Jose Luis Gómez, Manuel Silva, Antonio Seoane, Agnès Borràs, Mario Noriega, Germán Ros, José Antonio Iglesias Guitián, Antonio M. López
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes. CoRR (2023)
Maciej Wielgosz, Antonio M. López, Muhammad Naveed Riaz
CARLA-BSP: a simulated dataset with pedestrians. CoRR (2023)
Akhil Gurram, Antonio M. López
On the Metrics for Evaluating Monocular Depth Estimation. CoRR (2023)
Akhil Gurram, Ahmet Faruk Tuna, Fengyi Shen, Onay Urfalioglu, Antonio M. López
Monocular Depth Estimation Through Virtual-World Supervision and Real-World SfM Self-Supervision. IEEE Trans. Intell. Transp. Syst. 23 (8) (2022)
Jose Luis Gómez, Gabriel Villalonga, Antonio M. López
Co-Training for Unsupervised Domain Adaptation of Semantic Segmentation Models. CoRR (2022)
Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López
Multimodal End-to-End Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23 (1) (2022)
Daniel Hernández Juárez, Antonio Espinosa, David Vázquez, Antonio M. López, Juan C. Moure
3D Perception With Slanted Stixels on GPU. IEEE Trans. Parallel Distributed Syst. 32 (10) (2021)
Jose Luis Gómez, Gabriel Villalonga, Antonio M. López
Co-training for Deep Object Detection: Comparing Single-modal and Multi-modal Approaches. CoRR (2021)
Akhil Gurram, Onay Urfalioglu, Ibrahim Halfaoui, Fahd Bouzaraa, Antonio M. López
Semantic Monocular Depth Estimation Based on Artificial Intelligence. IEEE Intell. Transp. Syst. Mag. 13 (4) (2021)
Jose Luis Gómez, Gabriel Villalonga, Antonio M. López
Co-Training for Deep Object Detection: Comparing Single-Modal and Multi-Modal Approaches. Sensors 21 (9) (2021)
Akhil Gurram, Ahmet Faruk Tuna, Fengyi Shen, Onay Urfalioglu, Antonio M. López
Monocular Depth Estimation through Virtual-world Supervision and Real-world SfM Self-Supervision. CoRR (2021)
Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López
Distributed Learning and Inference With Compressed Images. IEEE Trans. Image Process. 30 (2021)
Gabriel Villalonga, Antonio M. López
Co-training for On-board Deep Object Detection. CoRR (2020)
Yi Xiao, Felipe Codevilla, Christopher J. Pal, Antonio M. López
Action-Based Representation Learning for Autonomous Driving. CoRR (2020)
Sudeep Katakol, Basem Elbarashy, Luis Herranz, Joost van de Weijer, Antonio M. López
Distributed Learning and Inference with Compressed Images. CoRR (2020)
Gabriel Villalonga, Joost van de Weijer, Antonio M. López
Recognizing New Classes with Synthetic Data in the Loop: Application to Traffic Sign Recognition. Sensors 20 (3) (2020)
Zhijie Fang, Antonio M. López
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation. IEEE Trans. Intell. Transp. Syst. 21 (11) (2020)
César Roberto de Souza, Adrien Gaidon, Yohann Cabon, Naila Murray, Antonio M. López
Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models. Int. J. Comput. Vis. 128 (5) (2020)
Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov
Variable Rate Deep Image Compression With Modulated Autoencoder. IEEE Signal Process. Lett. 27 (2020)
Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan C. Raducanu, Hamed H. Aghdam, Mikhail Mozerov, Antonio M. López, Joost van de Weijer
Temporal Coherence for Active Learning in Videos. CoRR (2019)
Daniel Hernández Juárez, Lukas Schneider, Pau Cebrian, Antonio Espinosa, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys, Juan C. Moure
Slanted Stixels: A Way to Represent Steep Streets. Int. J. Comput. Vis. 127 (11-12) (2019)
Zhijie Fang, Antonio M. López
Intention Recognition of Pedestrians and Cyclists by 2D Pose Estimation. CoRR (2019)
Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon
Exploring the Limitations of Behavior Cloning for Autonomous Driving. CoRR (2019)
Chris H. Bahnsen, David Vázquez, Antonio M. López, Thomas B. Moeslund
Learning to Remove Rain in Traffic Surveillance by using Synthetic Data. VISIGRAPP (4: VISAPP) (2019)
Javad Zolfaghari Bengar, Abel Gonzalez-Garcia, Gabriel Villalonga, Bogdan C. Raducanu, Hamed Habibi Aghdam, Mikhail Mozerov, Antonio M. López, Joost van de Weijer
Temporal Coherence for Active Learning in Videos. ICCV Workshops (2019)
Hamed H. Aghdam, Abel Gonzalez-Garcia, Antonio M. López, Joost van de Weijer
Active Learning for Deep Detection Neural Networks. ICCV (2019)
Jiaolong Xu, Liang Xiao, Antonio M. López
Self-supervised Domain Adaptation for Computer Vision Tasks. CoRR (2019)
Jiaolong Xu, Liang Xiao, Antonio M. López
Self-Supervised Domain Adaptation for Computer Vision Tasks. IEEE Access 7 (2019)
Jiaolong Xu, Yiming Nie, Peng Wang, Antonio M. López
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving. ICRA (2019)
Fei Yang, Luis Herranz, Joost van de Weijer, José Antonio Iglesias Guitián, Antonio M. López, Mikhail G. Mozerov
Variable Rate Deep Image Compression with Modulated Autoencoder. CoRR (2019)
Yi Xiao, Felipe Codevilla, Akhil Gurram, Onay Urfalioglu, Antonio M. López
Multimodal End-to-End Autonomous Driving. CoRR (2019)
Daniel Hernández Juárez, Lukas Schneider, Pau Cebrian, Antonio Espinosa, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys, Juan C. Moure
Slanted Stixels: A way to represent steep streets. CoRR (2019)
Hamed H. Aghdam, Abel Gonzalez-Garcia, Joost van de Weijer, Antonio M. López
Active Learning for Deep Detection Neural Networks. CoRR (2019)
Felipe Codevilla, Eder Santana, Antonio M. López, Adrien Gaidon
Exploring the Limitations of Behavior Cloning for Autonomous Driving. ICCV (2019)
Zhijie Fang, Antonio M. López
Is the Pedestrian going to Cross? Answering by 2D Pose Estimation. CoRR (2018)
Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. CoRR (2018)
Zhijie Fang, Antonio M. López
Is the Pedestrian going to Cross? Answering by 2D Pose Estimation. Intelligent Vehicles Symposium (2018)
Jiaolong Xu, Peng Wang, Heng Yang, Antonio M. López
Training a Binary Weight Object Detector by Knowledge Transfer for Autonomous Driving. CoRR (2018)
Xialei Liu, Marc Masana, Luis Herranz, Joost van de Weijer, Antonio M. López, Andrew D. Bagdanov
Rotate your Networks: Better Weight Consolidation and Less Catastrophic Forgetting. ICPR (2018)
Victor Vaquero, Germán Ros, Francesc Moreno-Noguer, Antonio M. López, Alberto Sanfeliu
Joint Coarse-And-Fine Reasoning for Deep Optical Flow. CoRR (2018)
Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
On Offline Evaluation of Vision-based Driving Models. CoRR (2018)
Felipe Codevilla, Matthias Müller, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
End-to-End Driving Via Conditional Imitation Learning. ICRA (2018)
Adrien Gaidon, Antonio M. López, Florent Perronnin
The Reasonable Effectiveness of Synthetic Visual Data. Int. J. Comput. Vis. 126 (9) (2018)
Akhil Gurram, Onay Urfalioglu, Ibrahim Halfaoui, Fahd Bouzaraa, Antonio M. López
Monocular Depth Estimation by Learning from Heterogeneous Datasets. Intelligent Vehicles Symposium (2018)
Akhil Gurram, Onay Urfalioglu, Ibrahim Halfaoui, Fahd Bouzaraa, Antonio M. López
Monocular Depth Estimation by Learning from Heterogeneous Datasets. CoRR (2018)
Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López
Metric Learning for Novelty and Anomaly Detection. BMVC (2018)
Marc Masana, Idoia Ruiz, Joan Serrat, Joost van de Weijer, Antonio M. López
Metric Learning for Novelty and Anomaly Detection. CoRR (2018)
Felipe Codevilla, Antonio M. López, Vladlen Koltun, Alexey Dosovitskiy
On Offline Evaluation of Vision-Based Driving Models. ECCV (15) (2018)
Antonio M. López, Gabriel Villalonga, Laura Sellart, Germán Ros, David Vázquez, Jiaolong Xu, Javier Marín, Azadeh Sadat Mozafari
Training my car to see using virtual worlds. Image Vis. Comput. 68 (2017)
Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
CARLA: An Open Urban Driving Simulator. CoRR (2017)
Daniel Hernández Juárez, Lukas Schneider, Antonio Espinosa, Juan C. Moure, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys
Slanted Stixels: Representing San Francisco's Steepest Streets. BMVC (2017)
Felipe Codevilla, Matthias Müller, Alexey Dosovitskiy, Antonio M. López, Vladlen Koltun
End-to-end Driving via Conditional Imitation Learning. CoRR (2017)
Alejandro González, David Vázquez, Antonio M. López, Jaume Amores
On-Board Object Detection: Multicue, Multimodal, and Multiview Random Forest of Local Experts. IEEE Trans. Cybern. 47 (11) (2017)
Zhijie Fang, David Vázquez, Antonio M. López
On-Board Detection of Pedestrian Intentions. Sensors 17 (10) (2017)
Daniel Hernández Juárez, Lukas Schneider, Antonio Espinosa, David Vázquez, Antonio M. López, Uwe Franke, Marc Pollefeys, Juan C. Moure
Slanted Stixels: Representing San Francisco's Steepest Streets. CoRR (2017)
Eugenio Alcalá, Laura Sellart, Vicenç Puig, Joseba Quevedo, Jordi Saludes, David Vázquez, Antonio M. López
Comparison of two non-linear model-based control strategies for autonomous vehicles. CoRR (2017)
Alexey Dosovitskiy, Germán Ros, Felipe Codevilla, Antonio M. López, Vladlen Koltun
CARLA: An Open Urban Driving Simulator. CoRL (2017)
Victor Vaquero, Germán Ros, Francesc Moreno-Noguer, Antonio M. López, Alberto Sanfeliu
Joint coarse-and-fine reasoning for deep optical flow. ICIP (2017)
Victor Campmany, Sergio Silva, Antonio Espinosa, Juan Carlos Moure, David Vázquez, Antonio M. López
GPU-based Pedestrian Detection for Autonomous Driving. ICCS (2016)
Saad Minhas, Aura Hernández-Sabaté, Shoaib Ehsan, Katerine Díaz-Chito, Ales Leonardis, Antonio M. López, Klaus D. McDonald-Maier
LEE: A Photorealistic Virtual Environment for Assessing Driver-Vehicle Interactions in Self-driving Mode. ECCV Workshops (3) (2016)
Victor Campmany, Sergio Silva, Antonio Espinosa, Juan Carlos Moure, David Vázquez, Antonio M. López
GPU-based Pedestrian Detection for Autonomous Driving. CoRR (2016)
Eugenio Alcalá, Laura Sellart, Vicenç Puig, Joseba Quevedo, Jordi Saludes, David Vázquez, Antonio M. López
Comparison of two non-linear model-based control strategies for autonomous vehicles. MED (2016)
Jiaolong Xu, David Vázquez, Krystian Mikolajczyk, Antonio M. López
Hierarchical online domain adaptation of deformable part-based models. ICRA (2016)
Daniel Hernández Juárez, Alejandro Chacón, Antonio Espinosa, David Vázquez, Juan Carlos Moure, Antonio M. López
Embedded Real-time Stereo Estimation via Semi-Global Matching on the GPU. ICCS (2016)
Azadeh Sadat Mozafari, David Vázquez, Mansour Jamzad, Antonio M. López
Node-Adapt, Path-Adapt and Tree-Adapt: Model-Transfer Domain Adaptation for Random Forest. CoRR (2016)
Alejandro González, Zhijie Fang, Yainuvis Socarrás Salas, Joan Serrat, David Vázquez, Jiaolong Xu, Antonio M. López
Pedestrian Detection at Day/Night Time with Visible and FIR Cameras: A Comparison. Sensors 16 (6) (2016)
Germán Ros, Laura Sellart, Joanna Materzynska, David Vázquez, Antonio M. López
The SYNTHIA Dataset: A Large Collection of Synthetic Images for Semantic Segmentation of Urban Scenes. CVPR (2016)
David Vázquez, Jorge Bernal, Francisco Javier Sánchez, Gloria Fernández-Esparrach, Antonio M. López, Adriana Romero, Michal Drozdzal, Aaron C. Courville
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images. CoRR (2016)
Jiaolong Xu, Sebastian Ramos, David Vázquez, Antonio M. López
Hierarchical Adaptive Structural SVM for Domain Adaptation. Int. J. Comput. Vis. 119 (2) (2016)
Antonio M. López, Jiaolong Xu, Jose Luis Gómez, David Vázquez, Germán Ros
From Virtual to Real World Visual Perception using Domain Adaptation - The DPM as Example. CoRR (2016)
Katerine Díaz-Chito, Aura Hernández-Sabaté, Antonio M. López
A reduced feature set for driver head pose estimation. Appl. Soft Comput. 45 (2016)
Fahad Shahbaz Khan, Jiaolong Xu, Joost van de Weijer, Andrew D. Bagdanov, Rao Muhammad Anwer, Antonio M. López
Recognizing Actions Through Action-Specific Person Detection. IEEE Trans. Image Process. 24 (11) (2015)
Alejandro González, Gabriel Villalonga, Germán Ros, David Vázquez, Antonio M. López
3D-Guided Multiscale Sliding Window for Pedestrian Detection. IbPRIA (2015)
Alejandro González, Gabriel Villalonga, Jiaolong Xu, David Vázquez, Jaume Amores, Antonio M. López
Multiview random forest of local experts combining RGB and LIDAR data for pedestrian detection. Intelligent Vehicles Symposium (2015)
Alejandro González, David Vázquez, Sebastian Ramos, Antonio M. López, Jaume Amores
Spatiotemporal Stacked Sequential Learning for Pedestrian Detection. IbPRIA (2015)
Jiaolong Xu, Sebastian Ramos, David Vázquez, Antonio M. López
Incremental Domain Adaptation of Deformable Part-based Models. BMVC (2014)
José Manuel Álvarez, Ferran Diego, Joan Serrat, Antonio M. López
Road Detection via On-line Label Transfer. CoRR (2014)
Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Ludmila I. Kuncheva
Occlusion Handling via Random Subspace Classifiers for Human Detection. IEEE Trans. Cybern. 44 (3) (2014)
Alejandro González, Sebastian Ramos, David Vázquez, Antonio M. López, Jaume Amores
Spatiotemporal Stacked Sequential Learning for Pedestrian Detection. CoRR (2014)
José Manuel Álvarez, Theo Gevers, Antonio M. López
Road Detection by One-Class Color Classification: Dataset and Experiments. CoRR (2014)
José Manuel Álvarez, Antonio M. López, Theo Gevers, Felipe Lumbreras
Combining Priors, Appearance, and Context for Road Detection. IEEE Trans. Intell. Transp. Syst. 15 (3) (2014)
Jiaolong Xu, Sebastian Ramos, David Vázquez, Antonio M. López
Hierarchical Adaptive Structural SVM for Domain Adaptation. CoRR (2014)
Jiaolong Xu, David Vázquez, Sebastian Ramos, Antonio M. López, Daniel Ponsa
Adapting a Pedestrian Detector by Boosting LDA Exemplar Classifiers. CVPR Workshops (2013)
Jiaolong Xu, David Vázquez, Antonio M. López, Javier Marín, Daniel Ponsa
Learning a multiview part-based model in virtual world for pedestrian detection. Intelligent Vehicles Symposium (2013)
José Manuel Álvarez, Theo Gevers, Ferran Diego, Antonio M. López
Road Geometry Classification by Adaptive Shape Models. IEEE Trans. Intell. Transp. Syst. 14 (1) (2013)
Germán Ros, Angel Domingo Sappa, Daniel Ponsa, Antonio M. López, Julio Guerrero
Fast and Robust $ell_1$-averaging-based Pose Estimation for Driving Scenarios. BMVC (2013)
David Vázquez, Jiaolong Xu, Sebastian Ramos, Antonio M. López, Daniel Ponsa
Weakly Supervised Automatic Annotation of Pedestrian Bounding Boxes. CVPR Workshops (2013)
Javier Marín, David Vázquez, Antonio M. López, Jaume Amores, Bastian Leibe
Random Forests of Local Experts for Pedestrian Detection. ICCV (2013)
José Manuel Álvarez, Theo Gevers, Antonio M. López
Evaluating Color Representations for On-Line Road Detection. ICCV Workshops (2013)
Joan Serrat, Felipe Lumbreras, Antonio M. López
Cost estimation of custom hoses from STL files and CAD drawings. Comput. Ind. 64 (3) (2013)

Antonio M. López.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Antonio M. López