A Web Monitoring Application Based on Java Technologies. - Adrián Peñate Sánchez; Ignacio Solinis-Camalich; Alexis Quesada-Arencibia; José Carlos Rodríguez-Rodríguez (International Conference on Internet Computing, 2008)

A General System for Monitoring and Controlling via Internet. - Adrián Peñate Sánchez; Ignacio Solinis-Camalich; Alexis Quesada-Arencibia; José Carlos Rodríguez-Rodríguez (ICEIS (4), 2008)

A General Purpouse Control System. - Adrián Peñate Sánchez; Alexis Quesada-Arencibia; Roberto Moreno-Díaz Jr. (EUROCAST, 2009)

Real Time Vehicle Recognition: A Novel Method for Road Detection. - Adrián Peñate Sánchez; Alexis Quesada-Arencibia; Carlos Manuel Travieso-González (EUROCAST (2), 2011)

Simultaneous Pose, Focal Length and 2D-to-3D Correspondences from Noisy Observations. - Adrián Peñate Sánchez; Eduard Serradell; Francesc Moreno-Noguer; Juan Andrade-Cetto (BMVC, 2013)

Exhaustive Linearization for Robust Camera Pose and Focal Length Estimation. - Adrián Peñate Sánchez; Juan Andrade-Cetto; Francesc Moreno-Noguer (IEEE Trans. Pattern Anal. Mach. Intell., 2013)

LETHA: Learning from High Quality Inputs for 3D Pose Estimation in Low Quality Images. - Adrián Peñate Sánchez; Francesc Moreno-Noguer; Juan Andrade-Cetto; François Fleuret (3DV, 2014)

Matchability Prediction for Full-Search Template Matching Algorithms. - Adrián Peñate Sánchez; Lorenzo Porzi; Francesc Moreno-Noguer (3DV, 2015)

A dynamic programming approach for fast and robust object pose recognition from range images. - Christopher Zach; Adrián Peñate Sánchez; Minh-Tri Pham (CVPR, 2015)

Efficient monocular pose estimation for complex 3D models. - Antonio Rubio 001; Michael Villamizar; Luis Ferraz; Adrián Peñate Sánchez; Arnau Ramisa; Edgar Simo-Serra; Alberto Sanfeliu; Francesc Moreno-Noguer (ICRA, 2015)

Depth-aware convolutional neural networks for accurate 3D pose estimation in RGB-D images. - Lorenzo Porzi; Adrián Peñate Sánchez; Elisa Ricci 001; Francesc Moreno-Noguer (IROS, 2017)

Learning Depth-Aware Deep Representations for Robotic Perception. - Lorenzo Porzi; Samuel Rota Bulò; Adrián Peñate Sánchez; Elisa Ricci 001; Francesc Moreno-Noguer (IEEE Robotics Autom. Lett., 2017)

3D pose estimation in complex environments. - Adrián Peñate Sánchez (2017)

3D Pick & Mix: Object Part Blending in Joint Shape and Image Manifolds. - Adrián Peñate Sánchez; Lourdes Agapito (ACCV (1), 2018)

Detect Globally, Label Locally: Learning Accurate 6-DOF Object Pose Estimation by Joint Segmentation and Coordinate Regression. - Apurv Nigam; Adrián Peñate Sánchez; Lourdes Agapito (IEEE Robotics Autom. Lett., 2018)

SKD: Unsupervised Keypoint Detecting for Point Clouds using Embedded Saliency Estimation. - Georgi Tinchev; Adrián Peñate Sánchez; Maurice F. Fallon (CoRR, 2019)

Learning to See the Wood for the Trees: Deep Laser Localization in Urban and Natural Environments on a CPU. - Georgi Tinchev; Adrián Peñate Sánchez; Maurice F. Fallon (IEEE Robotics Autom. Lett., 2019)

TGCRBNW: A Dataset for Runner Bib Number Detection (and Recognition) in the Wild. - Pablo Hernández-Carrascosa; Adrián Peñate Sánchez; Javier Lorenzo-Navarro; David Freire-Obregón; Modesto Castrillón Santana (ICPR, 2020)

Joint Image and 3D Shape Part Representation in Large Collections for Object Blending. - Adrián Peñate Sánchez; Lourdes Agapito (IEEE Access, 2020)

TGC20ReId: A dataset for sport event re-identification in the wild. - Adrián Peñate Sánchez; David Freire-Obregón; Adrián Lorenzo-Melián; Javier Lorenzo-Navarro; Modesto Castrillón Santana (Pattern Recognit. Lett., 2020)

Improving user verification in human-robot interaction from audio or image inputs through sample quality assessment. - David Freire-Obregón; Kevin Rosales-Santana; Pedro A. Marín-Reyes; Adrián Peñate Sánchez; Javier Lorenzo-Navarro; Modesto Castrillón Santana (Pattern Recognit. Lett., 2021)

SKD: Keypoint Detection for Point Clouds Using Saliency Estimation. - Georgi Tinchev; Adrián Peñate Sánchez; Maurice F. Fallon (IEEE Robotics Autom. Lett., 2021)

NeRFLight: Fast and Light Neural Radiance Fields using a Shared Feature Grid. - Fernando Rivas-Manzaneque; Jorge Sierra Acosta; Adrián Peñate Sánchez; Francesc Moreno-Noguer; Angela Ribeiro (CVPR, 2023)

Real-time LIDAR localization in natural and urban environments. - Georgi Tinchev; Adrián Peñate Sánchez; Maurice F. Fallon (CoRR, 2023)

A machine learning approach to design a DPSIR model: A real case implementation of evidence-based policy creation using AI. - Adrián Peñate Sánchez; Carolina Peña Alonso; Emma Perez-Chacon Espino; Antonio Falcón-Martel (Adv. Eng. Informatics, 2023)

IReNe: Instant Recoloring of Neural Radiance Fields. - Alessio Mazzucchelli; Adrian Garcia-Garcia; Elena Garces 001; Fernando Rivas-Manzaneque; Francesc Moreno-Noguer; Adrián Peñate Sánchez (CVPR, 2024)

Developing a Reconfigurable Architecture for the Remote Operation of Marine Autonomous Systems. - Alvaro Lorenzo-Lopez; Ashley Morris; Owain Jones; Alexander B. Phillips; Mario Hernández-Tejera; Adrián Peñate Sánchez (IEEE Softw., 2024)

IMASHRIMP: Automatic White Shrimp (Penaeus vannamei) Biometrical Analysis from Laboratory Images Using Computer Vision and Deep Learning. - Abiam Remache González; Meriem Chagour; Timon Bijan Rüth; Raúl Trapiella Cañedo; Marina Martínez Soler; Álvaro Lorenzo Felipe; Hyun-Suk Shin; María-Jesús Zamorano Serrano; Ricardo Torres; Juan-Antonio Castillo Parra; Eduardo Reyes Abad; Miguel-Ángel Ferrer Ballester; et al. (CoRR, 2025)