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ORCIDXiao Lin 0003
Person information
- affiliation: Vicomtech Foundation, Donostia-San Sebastian, Spain
- affiliation (PhD 2018): Technical University of Catalonia, Signal Theory and Communication Department, Image Processing Group, Barcelona, Spain
Other persons with the same name
- Xiao Lin — disambiguation page
- Xiao Lin 0001 — Fortemedia (and 1 more)
- Xiao Lin 0002
![[0000-0002-1533-2791]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-1533-2791")
— Tsinghua University, Institute of Interdisciplinary Information Sciences, Beijing, China
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2020 – today
- 2025
[j6]Marco Ojer de Andrés, Sergio Valdés, Ander García, Xabier Oregui, Iker Gastesi, Xiao Lin, Iñigo Mendizabal-Arrieta, Jairo R. Sánchez, Elena Lazkano:
Operator as a Service: A New Concept for Remote Supervision of Automated Manufacturing Lines. IEEE Access 13: 93661-93671 (2025)- [j5]Sergio Valdés, Marco Ojer, Xiao Lin:
Online Self-Supervised Learning for Accurate Pick Assembly Operation Optimization. Robotics 14(1): 4 (2025) - 2024
- [j4]Marco Ojer de Andrés, Ander Etxezarreta, Gorka Kortaberria, Brahim Ahmed, Jon Flores, Javier Hernandez, Elena Lazkano, Xiao Lin:
High accuracy hybrid kinematic modeling for serial robotic manipulators. Robotica 42(9): 3211-3229 (2024) - [c8]Marco Ojer, Xiao Lin, Iñigo Mendizabal-Arrieta, Antonio Tammaro:
Acroba Gym: A Unity-Based ROS Compliant Simulator for Robotics. ERF (1) 2024: 230-235 - [i2]Dalila Sánchez-Escobedo, Xiao Lin, Josep R. Casas, Montse Pardàs:
Hybridnet for depth estimation and semantic segmentation. CoRR abs/2402.06539 (2024) - 2022
- [c7]Iñigo Mendizabal-Arrieta, Antonio Tammaro, Marco Ojer, Xiao Lin:
Simulation Based Initial Feasibility Analysis Pipeline for Small-sized Part Picking. CEIG 2022: 1-10
2010 – 2019
- 2019
- [j3]Xiao Lin, Dalila Sánchez-Escobedo, Josep R. Casas, Montse Pardàs:
Depth Estimation and Semantic Segmentation from a Single RGB Image Using a Hybrid Convolutional Neural Network. Sensors 19(8): 1795 (2019) - [c6]Xiao Lin, Josep R. Casas, Montse Pardàs:
One Shot Learning for Generic Instance Segmentation in RGBD Videos. VISIGRAPP (4: VISAPP) 2019: 233-239 - [i1]Xiao Lin, Josep R. Casas, Montse Pardàs:
Graph based Dynamic Segmentation of Generic Objects in 3D. CoRR abs/1904.08518 (2019) - 2018
- [b1]Xiao Lin:
Semantic and generic object segmentation for scene analysis using RGB-D Data. Polytechnic University of Catalonia, Spain, 2018 - [j2]Xiao Lin, Josep R. Casas, Montse Pardàs:
Temporally Coherent 3D Point Cloud Video Segmentation in Generic Scenes. IEEE Trans. Image Process. 27(6): 3087-3099 (2018) - [c5]Dalila Sánchez-Escobedo, Xiao Lin, Josep R. Casas, Montse Pardàs:
Hybridnet for Depth Estimation and Semantic Segmentation. ICASSP 2018: 1563-1567 - 2017
- [j1]Pablo Arturo Martínez, Xiao Lin, Mario Castelán, Josep R. Casas, Gustavo Arechavaleta:
A closed-loop approach for tracking a humanoid robot using particle filtering and depth data. Intell. Serv. Robotics 10(4): 297-312 (2017) - [c4]Xiao Lin, Josep R. Casas, Montse Pardàs:
3D point cloud segmentation using a fully connected conditional random field. EUSIPCO 2017: 66-70 - 2016
- [c3]Xiao Lin, Josep R. Casas, Montse Pardàs:
3D Point Cloud Video Segmentation Based on Interaction Analysis. ECCV Workshops (3) 2016: 821-835 - [c2]Xiao Lin, Josep R. Casas, Montse Pardàs:
3D point cloud segmentation oriented to the analysis of interactions. EUSIPCO 2016: 903-907 - 2015
- [c1]Xiao Lin, Josep R. Casas, Montse Pardàs:
Time Consistent Estimation of End-Effectors from RGB-D Data. PSIVT 2015: 529-543
Coauthor Index
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