Weijie Wei

PhD student @ University of Amsterdam

github
Google scholar

About Me

I am a PhD candidate at University of Amsterdam, supervised by Prof. dr. Theo Gevers. Also, I am so fortunate to have the opportunity of discussing research problems with Dr. Fatemeh Karimi Nejadasl and Deyvid Kochanov from TOMTOM. Before that, I obtained my Master's degree under the supervision of Prof. dr. Zhi Liu.

I focus on point cloud and semantic segmentation. I also have a background in other computer vision fields, including visual attention modeling, saliency prediction and object segmentation.

News

  • [04/2021] I join in the ATLAS Lab and settle in Amsterdam, the Netherlands.
  • [02/2021] One paper got accepted to Signal processing: Image communication.
  • [10/2020] I am granted the National Scholarship.
  • [06/2020] One paper got accepted to Neurocomputing.
  • [07/2019] Won the winner award of Saliency4ASD (Grand Challenge of ICME 2019)

Publications

[10] R. Shi, G. Li, W. Wei, Z. Liu, "Fixations based personal target objects segmentation," *ACM Internation conference on Multimedia in Asia,", Mar. 2021.
[9] R. Shi, G. Li, W. Wei, X. Zhou, Z. Liu, "Personalized image observation behavior learning in fixation based personalized salient object segmentation," Neurocomputing, vol. 445, pp. 255-266, Jul. 2021.
[8] Z. Wang, Z. Liu, W. Wei, H. Duan, "SalED: Saliency Prediction via Encoder-Decoder Neural Networks," Image and Vision Computing, vol. 109, pp. 104149, May, 2021.
[7] W. Wei, Z. Liu, L. Huang, Z. Wang, W. Chen, T. Zhang, J. Wang, and L. Xu, "Identify autism spectrum disorder via dynamic filter and deep spatiotemporal feature extraction," Signal Processing: Image Communication, vol. 94, pp. 116195, May. 2021.
[6] G. Li, Z. Liu, R. Shi, Z. Hu, W. Wei, and H. Ling, "Personal fixations-based object segmentation with object localization and boundary preservation," IEEE Transaction on Image Processing, vol. 30, pp. 1461-1475, Dec. 2020.
[5] L. Huang, W. Wei, Z. Liu, T. Zhang, J. Wang, L. Xu, W. Chen, and O. Le Meur, "Effective schizophrenia recognition using discriminative eye movement features and model-metric based features," Pattern Recognition Letters, vol. 138, pp. 608-616, Oct. 2020.
[4] W. Wei, Z. Liu, L. Huang, A. Nebout, O. Le Meur, T. Zhang, J. Wang, and L. Xu, "Predicting atypical visual saliency for autism spectrum disorder via scale-adaptive inception module and discriminative region enhancement loss," Neurocomputing, Sep. 2020. [Preprint]
[3] G. Li, Z. Liu, R. Shi, and W. Wei, "Constrained fixation point based segmentation via deep neural network," Neurocomputing, vol. 368, pp. 180-187, Nov. 2019.
[2] W. Wei, Z. Liu, L. Huang, A. Nebout, and O. Le Meur, "Saliency prediction via multi-level features and deep supervision for children with autism spectrum disorder," presented at IEEE Int. Conf. on Multimedia & Expo Workshops (ICMEW), Jul. 2019. [Poster].
[1] A. Nebout, W. Wei, Z. Liu, L. Huang, and O. Le Meur, "Predicting saliency maps for ASD People," presented at IEEE Int. Conf. on Multimedia & Expo Workshops (ICMEW), Jul. 2019. [Poster].

Education & Experiences

  • PhD student in Computer Science.
    Apr. 2021 - present. University of Amsterdam

  • M. Eng. in Signals and Information Processing.
    Sep. 2018 - Mar. 2021. Shanghai University

  • B. Eng. in Communication Engineering.
    Sep. 2014 - Jul. 2018. Shanghai University

Awards & Honors

  • [10/2020] National Scholarship. SHU
  • [10/2020] Tier 1 Scholarship. SHU.
  • [10/2019] Tier 1 Scholarship. SHU.
  • [10/2018] Tier 1 Scholarship. SHU.
  • [07/2018] Outstanding Graduate. SHU

Contests

  • [07/2019] Champion of the ICME2019 Grand Challenge -- Saliency4ASD Track 1
  • [12/2018] Our team (Guangjin Pan, Chuxuan Cheng and Weijie Wei) won the second prize of China Post-Graduate Mathematical Contest in Modeling
  • [11/2016] Our team (Jinxue Liu, Zhiming Yi and Weijie Wei) won the first prize of the National Undergraduate Electronic Design Contest (Shanghai division)
Last Updated: 5/14/2021, 12:14:19 PM