Weijie Wei

Orcid: 0000-0002-5952-5341

Affiliations:
  • University of Amsterdam, Atlas Lab, Amsterdam, The Netherlands
  • Shanghai University, Institute for Advanced Communication and Data Science, Shanghai, China


According to our database1, Weijie Wei authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Auto-Vocabulary Segmentation for LiDAR Points.
CoRR, 2024

T-MAE : Temporal Masked Autoencoders for Point Cloud Representation Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Atypical Salient Regions Enhancement Network for visual saliency prediction of individuals with Autism Spectrum Disorder.
Signal Process. Image Commun., July, 2023

APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Few-shot personalized saliency prediction using meta-learning.
Image Vis. Comput., 2022

2021
Personal Fixations-Based Object Segmentation With Object Localization and Boundary Preservation.
IEEE Trans. Image Process., 2021

Identify autism spectrum disorder via dynamic filter and deep spatiotemporal feature extraction.
Signal Process. Image Commun., 2021

SalED: Saliency prediction with a pithy encoder-decoder architecture sensing local and global information.
Image Vis. Comput., 2021

Predicting atypical visual saliency for autism spectrum disorder via scale-adaptive inception module and discriminative region enhancement loss.
Neurocomputing, 2021

Personalized image observation behavior learning in fixation based personalized salient object segmentation.
Neurocomputing, 2021

2020
Effective schizophrenia recognition using discriminative eye movement features and model-metric based features.
Pattern Recognit. Lett., 2020

Fixations based personal target objects segmentation.
Proceedings of the MMAsia 2020: ACM Multimedia Asia, 2020

2019
Constrained fixation point based segmentation via deep neural network.
Neurocomputing, 2019

Saliency Prediction via Multi-Level Features and Deep Supervision for Children with Autism Spectrum Disorder.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

Predicting Saliency Maps for ASD People.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019


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