*: Corresponding author

2024

  • [IJCNN] Junkun Jiang, Ho Yin Au, Jie Chen*, Jingyu Xiang and Mingyuan Chen, “Motion Part-Level Interpolation and Manipulation over Automatic Symbolic Labanotation Annotation,” accepted by International Joint Conference on Neural Networks, 2024.
  • [ICASSP] Junkun Jiang, Jie Chen*, “Exploring Latent Cross-Channel Embedding for Accurate 3D Human Pose Reconstruction in a Diffusion Framework,” IEEE International Conference on Acoustics, Speech, & Signal Processing, 2024. (preprint) (DOI)

2023

  • [TVCG] Junkun Jiang, Jie Chen*, Ho Yin Au, Minyuan Chen, Wei Xue, Yike Guo, “Every Angle Is Worth A Second Glance: Mining Kinematic Skeletal Structures from Multi-view Joint Cloud,” manuscript under review major revision in IEEE Transactions on Visualization and Computer Graphics.
  • [MIR] Ho Yin Au, Jie Chen*, Junkun Jiang, and Yi-Ke Guo, “ReChoreoNet: Repertoire-based Dance Re-choreography with Music-conditioned Temporal and Style Clues,” accepted by Machine Intelligence Research.

2022

  • [ACM MM] Ho Yin Au, Jie Chen*, Junkun Jiang, and Yike Guo, “ChoreoGraph: Music-conditioned Automatic Dance Choreography over a Style and Tempo Consistent Dynamic Graph,” accepted by ACM International Conference on Multimedia, 2022. (preprint)
  • [ACM MM] Junkun Jiang, Jie Chen*, and Yike Guo, “A Dual-Masked Auto-Encoder for Robust Motion Capture with Spatial-Temporal Skeletal Token Completion,” accepted by ACM International Conference on Multimedia, 2022. (preprint)
  • [Wirel. Commun. Mob. Comput.] Jianqiang Sheng, Fei Wang, Baoquan Zhao, Junkun Jiang, Yu Yang*, Tie Cai. Sketch-Based Image Retrieval Using Novel Edge Detector and Feature Descriptor[J]. Wireless Communications and Mobile Computing, 2022. OA (DOI)

Before 2021

  • [ICDH] Fei Wang*, Yu Yang, Baoquan Zhao, Junkun Jiang, Teng Zhou, Dazhi Jiang and Tie Cai. Deep 3D Shape Reconstruction from Single-View Sketch Image[C]// 2020 International Conference on Digital Home. IEEE, 2020. (preprint) (DOI)
  • [IJCNN] Junkun Jiang, Ruomei Wang*, Shujin Lin and Fei Wang. SFSegNet: Parse Freehand Sketches using Deep Fully Convolutional Networks[C]// 2019 International Joint Conference on Neural Networks. IEEE, 2019: 1-8. (preprint) (DOI)
  • [Neurocomputing] Fei Wang, Shujin Lin*, Hanhui Li, Hefeng Wu, Junkun Jiang, Ruomei Wang, Xiaonan Luo. Multi-column Point-CNN for Sketch Segmentation[J]. Neurocomputing, 2019. (preprint)
  • [Chinagraph] Ruomei Wang, Junkun Jiang, Shujin Lin* and Fei Wang. An Edge Feature Extraction Algorithm for Sketch Retrieval[C]// The 12th Conference on China Computer Graphics, 2018. (P000108) (preprint)

Patent

  • Sha Guo, Junkun Jiang, Fei Zhu and Lingxiao Du. 2021. A method and device for image defogging. CN113379631A, filed 2021-06-11, and issued 2021-09-10. Google patent
  • Junkun Jiang, Sha Guo, Fei Zhu and Lingxiao Du. 2021. Image definition determination method, device, equipment and storage medium. CN112767392A/WO2022183902A1, filed 2021-03-02, and issued 2021-05-07. Google patent
  • Junkun Jiang, Shujin Lin and Fan Zhou. 2019. An image retrieval method and system based on hand-drawn style recommendation. CN109308324A, filed 2018-09-08, and issued 2019-02-05. Google patent
  • Fei Wang, Shujin Lin, Fan Zhou and Junkun Jiang. 2019. An image retrieval method and system based on hand-drawn contour map matching. CN109145140A, filed 2018-09-08, issued 2019-01-04. Google patent

Awards

  • Best Poster Award, 26th Postgraduate Research Symposium, HKBU COMP, 2022/23
  • Computer Science Department RPg Performance Award, HKBU Scholarship, 2021/22
  • Student Travel Grants, ACM MM’22, 2022