Zhou Feng

Zhou Feng

North China University of Technology

I graduated from the State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, under the supervision of Professors Shen Xukun and Hu Yong. In 2020, he joined the School of Information Science and Technology at North China University of Technology as a lecturer.

My research focuses on 3D computer vision, artificial intelligence, and virtual reality, specifically in the areas of point cloud segmentation, point cloud detection, and digital human modeling and understanding. Additionally, I am actively exploring applications in virtual reality and the protection of intangible cultural heritage, such as choreography for intangible cultural dances and content generation. I have published almost 20 papers in the fields of computer graphics and artificial intelligence. Furthermore, I am a member of various committees, including the Virtual Reality and Visualization Technology Professional Committee of the China Computer Society, the Digital Media Special Committee of the China Graphics Society and so on.

Currently, I collaborate closely with Beihang University, Peng Cheng Laboratory, and Cardiff University. Looking forward to students who are interested in the research direction, and willing to proactively engage with the supervisor’s research, Let’s embark on the academic journey towards “A” together, and have a blast! Let’s go all out and have fun together on this academic journey!

🎓 News

  • 2025.04， Two papers are accepted to CVPR 2025 (CCF A)
  • 2025.01, One paper is accepted to ICASSP 2025(CCF B)
  • 2024.12, One paper is accepted to AAAI 2025(CCF A)
  • 2024.09, One paper is accepted to TVC
  • 2024.05, One paper is accepted to TVC
  • 2024.02, One paper FormationCreator is accepted to LBW CHI2024 (CCF A)
  • 2023.12, One paper AHRNet is accepted to ICASSP2024 (CCF B)
  • 2023.11, One paper KD-Former is accepted to Pattern Recognition (CCF B)

📝 Selected Publications

The Visual Computer
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  • lin, Y., Dai, J., Pan, J., Zhou Feng, & Bai, J. (2024). Free editing of Shape and Texture with Deformable Net for 3D Caricature Generation. The Visual Computer, 1-13. [网页]
Extended Abstracts of the CHI Conference
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  • Rao J, Zhou Feng, Dai J, et al. FormationCreator: Designing A VR Dance Formation System for Intangible Cultural Heritage Dance[C]//Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. 2024: 1-7. [网页]
2024 ICASSP
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  • Zhou Feng, Shen P, Dai J, et al. AHRNet: Attention and heatmap-based regressor for hand pose estimation and mesh recovery[C]//ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2024: 3000-3004. [网页]
Pattern Recognition
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  • Dai, J., Li, H., Zeng, R., Bai, J., Zhou Feng, & Pan, J. (2023). KD-Former: Kinematic and dynamic coupled transformer network for 3D human motion prediction. Pattern Recognition, 143, 109806. [网页]

  • Zhou Feng, J Dai, J Pan, M Zhu, X Cai, B Huang, C Wang, GFENet: Group-Free Enhancement Network for Indoor Scene 3D Object Detection, COMPUTER GRAPHICS INTERNATIONAL 2023 [HEML]

  • Zhou Feng, Junkai Rao, Pei Shen, Qi Zhang, Qianfang Qi, and Yao Li. “REGNet: Ray-Based Enhancement Grouping for 3D Object Detection Based on Point Cloud.” Applied Sciences 13, no. 10 (2023): 6098. [HEML]

  • Zhou Feng, Q Zhang, H Zhu, S Liu, N Jiang, X Cai, Q Qi, Y Hu. “Attentional Keypoint Detection on Point Clouds for 3D Object Part Segmentation.” Applied Sciences, 13(23), p.12537. [HEML]

  • Zhou Feng, P Shen, M Zhu, Q Zhang, C Wang, X Wang, Q Qi, Y Hu “EDANet : Encoder-Decoder Atrous Convolutional Neural Network for Semantic Scene Segmentation based on Synthetic Images.” IEEE International Conference on Virtual Reality and Visualization(ICVRV 2022).

  • Chen, Keng, Zhou Feng, Ju Dai, Pei Shen, Xingquan Cai, and Fengquan Zhang. “MCGNet: Multi-Level Context-aware and Geometric-aware Network for 3D Object Detection.” In 2022 IEEE International Conference on Image Processing (ICIP), pp. 1846-1850. IEEE, 2022.
    [HEML]

  • Zhou Feng, Yu-Kun Lai, Paul L. Rosin, Fengquan Zhang, and Yong Hu. “Scale-aware network with modality-awareness for RGB-D indoor semantic segmentation.” Neurocomputing 492 (2022): 464-473. [HEML]

  • Zhou Feng, Hu Y, Shen X. “Scale-aware spatial pyramid pooling with both encoder-mask and scale-attention for semantic segmentation”. Neurocomputing, 2020, 383: 174-182. [HEML]

  • Dyke R M, Zhou Feng, Lai Y, et al. “SHREC’20: Non-rigid shape correspondence of physically-based deformations”. 2020.
    [HEML]

  • Zhou Feng, Hu Y, Shen X. “MSANet: multimodal self-augmentation and adversarial network for RGB-D object recognition.” The Visual Computer 35 (11), 1583-1594.

🏅 Students awards

  • 2023 Two first prizes in CCVR2023, One two prize in CCVR2023
  • 2022 Two first prizes in CCVR2022, one third prize in CCVR2022

💬 Course

  • Virtual Reality
  • Software Engineering