Weijie Wei

PhD student @ University of Amsterdam

firstname dot lastname at uva dot nl

About Me

I am a PhD candidate at University of Amsterdam (opens new window), supervised by Prof. dr. Theo Gevers (opens new window) and co-supervised by Dr. ret. nat. Martin R. Oswald (opens new window). Also, I regularly discuss research problems with Dr. Fatemeh Karimi Nejadasl (opens new window). Prior to that, I obtained my Master's degree under the supervision of Prof. dr. Zhi Liu (opens new window) at Shanghai University (opens new window).

My research interests include 3D perception, self-supervised learning and open-ended recognition. I also have experience with visual attention modeling, saliency prediction and gaze-based object segmentation during my master.

News

• [02/2025] One paper got accepted to CVPR.
• [07/2024] One paper got accepted to ECCV.
• [04/2024] One extended abstract got accepted to CVPR Workshop.
• [12/2023] Granted 1M SBUs for the Netherlands national supercomputer, equals to 7.8k A100 GPU hours.
• [08/2023] One paper got accepted to ICCV Workshop.
• [04/2021] Start my PhD at ATLAS Lab (opens new window), which is a collobration between Tomtom (opens new window) and UvA (opens new window).
• [02/2021] One paper got accepted to Signal processing: Image communication.
• [10/2020] Granted the National Scholarship.
• [06/2020] One paper got accepted to Neurocomputing.

Pre-prints

[7] W Wei, FK Nejadasl, T Gevers, MR Oswald, "Open-vocabulary 3D Segmentation with Generative Text as Supervision", Under Review.

Selected Publications

[6] W Wei*, O. Ülger*, FK Nejadasl, T Gevers, MR Oswald, "3D-AVS: LiDAR-based 3D Auto-Vocabulary Segmentation", CVPR, Jun. 2025. | arXiv (coming soon) | 4-page early version on CVPRw 2024 (opens new window) |
[5] W Wei, FK Nejadasl, T Gevers, MR Oswald, "T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning", ECCV, Sep. 2024. | arXiv (opens new window) | Code (opens new window) | 5-min video (opens new window) | Project Webpage (opens new window) |
[4] W Wei, MR Oswald, FK Nejadasl, T Gevers, "APNet: Urban-level Scene Segmentation of Aerial Images and Point Clouds", ICCV Workshop, Oct. 2023. | arXiv (opens new window) | Code (opens new window) |
[3] 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.
[2] 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. | Code (opens new window) |
[1] 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. | Code (opens new window) |

The full publication list can be found in Google Scholar (opens new window).

Service

Reviewer

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)