Xiao Lin


Xiao received the degree in Software Engineering in 2010 and the M.Sc. in Research on Computer Vision in 2013, both from the South West Unviersity in China. He is currently doing his Ph.D. under the advisement of Josep Ramon Casas and Montse Pardas in the Image and Video Processing Group at UPC. He holds a scholarship from China Scholarship Council (CSC). His main research field is focused on 3D segmentation and human-object interaction analysis based on depth sensor.

Conference Papers top

X. Lin, Casas, J., and Pardàs, M., One Shot Learning for Generic Instance Segmentation in RGBD Videos, in International Conference on Computer Vision, Theory and Applications, Prague, 2019. (1.64 MB)
D. Sanchez-Escobedo, Lin, X., Casas, J., and Pardàs, M., HybridNet for Depth Estimation and Semantic Segmentation, in ICASSP 2018, Calgary, Alberta, Canada, 2018. (1.14 MB)
X. Lin, Casas, J., and Pardàs, M., 3D Point Cloud Segmentation Using a Fully Connected Conditional Random Field, in The 25th European Signal Processing Conference (EUSIPCO 2017), Kos island, Greece, 2017. (2.34 MB)
X. Lin, Casas, J., and Pardàs, M., Graph based Dynamic Segmentation of Generic Objects in 3D, in CVPR SUNw: Scene Understanding Workshop, Las Vegas, US, 2016. (956.15 KB)
X. Lin, Casas, J., and Pardàs, M., 3D Point Cloud Segmentation Oriented to The Analysis of Interactions, in The 24th European Signal Processing Conference (EUSIPCO 2016), Budapest, Hungary, 2016. (10.54 MB)