Xiao Lin

According to our database, Xiao Lin authored at least 16 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Online Self-Supervised Learning for Accurate Pick Assembly Operation Optimization.

Sergio Valdés, Marco Ojer, Xiao Lin

Robotics, January, 2025

Operator as a Service: A New Concept for Remote Supervision of Automated Manufacturing Lines.

Marco Ojer de Andrés, Sergio Valdés, Ander García, Xabier Oregui, Iker Gastesi, Xiao Lin, Iñigo Mendizabal-Arrieta, Jairo R. Sánchez, Elena Lazkano

IEEE Access, 2025

2024

High accuracy hybrid kinematic modeling for serial robotic manipulators.

Marco Ojer de Andrés, Ander Etxezarreta, Gorka Kortaberria, Brahim Ahmed, Jon Flores, Javier Hernandez, Elena Lazkano, Xiao Lin

Robotica, 2024

Acroba Gym: A Unity-Based ROS Compliant Simulator for Robotics.

Marco Ojer, Xiao Lin, Iñigo Mendizabal-Arrieta, Antonio Tammaro

Proceedings of the European Robotics Forum 2024, 2024

2022

Simulation Based Initial Feasibility Analysis Pipeline for Small-sized Part Picking.

Iñigo Mendizabal-Arrieta, Antonio Tammaro, Marco Ojer, Xiao Lin

Proceedings of the XXXI Spanish Computer Graphics Conference, 2022

2019

Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network.

Xiao Lin, Dalila Sánchez-Escobedo, Josep R. Casas, Montse Pardàs

Sensors, 2019

Graph based Dynamic Segmentation of Generic Objects in 3D.

Xiao Lin, Josep R. Casas, Montse Pardàs

CoRR, 2019

One Shot Learning for Generic Instance Segmentation in RGBD Videos.

Xiao Lin, Josep R. Casas, Montse Pardàs

Proceedings of the 14th International Joint Conference on Computer Vision, 2019

2018

Semantic and generic object segmentation for scene analysis using RGB-D Data.

Xiao Lin

PhD thesis, 2018

Temporally Coherent 3D Point Cloud Video Segmentation in Generic Scenes.

Xiao Lin, Josep R. Casas, Montse Pardàs

IEEE Trans. Image Process., 2018

Hybridnet for Depth Estimation and Semantic Segmentation.

Dalila Sánchez-Escobedo, Xiao Lin, Josep R. Casas, Montse Pardàs

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

A closed-loop approach for tracking a humanoid robot using particle filtering and depth data.

Pablo Arturo Martínez, Xiao Lin, Mario Castelán, Josep R. Casas, Gustavo Arechavaleta

Intell. Serv. Robotics, 2017

3D point cloud segmentation using a fully connected conditional random field.

Xiao Lin, Josep R. Casas, Montse Pardàs

Proceedings of the 25th European Signal Processing Conference, 2017

2016

3D point cloud segmentation oriented to the analysis of interactions.

Xiao Lin, Josep R. Casas, Montse Pardàs

Proceedings of the 24th European Signal Processing Conference, 2016

3D Point Cloud Video Segmentation Based on Interaction Analysis.

Xiao Lin, Josep R. Casas, Montse Pardàs

Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015

Time Consistent Estimation of End-Effectors from RGB-D Data.

Xiao Lin, Josep R. Casas, Montse Pardàs

Proceedings of the Image and Video Technology - 7th Pacific-Rim Symposium, 2015