Yuexin Ma
Assistant Professor
Graduated School:Ph.D., University of Hong Kong, China
Tel:(021)20684436
Office:Room 2-402H, SIST Building
Research Interests
Biography
Selected Publications

RESEARCH INTERESTS

  • Computer Vision

  • 3D Perception

  • Artificial Intelligence


BIOGRAPHY

Yuexin Ma is an Assistant Professor in SIST, ShanghaiTech University and has found 4DV Lab. She received the B.Sc. degree from Shandong University in 2015 and the PhD degree from the University of Hong Kong in 2019. After that, she held a Research Assistant Professor position in Hong Kong Baptist University. She visited French Institute for Research in Computer Science and Automation in 2017, the University of North Carolina at Chapel Hill in 2018, and Baidu Research in 2019. Her research interests include computer vision, computer graphics, and autonomous driving.

Particularly, her current research focuses on 3D scene understanding, 3D detection and segmentation, point cloud completion and reconstruction, behavior and trajectory prediction, etc. Her work has been published on several top journals and conferences, including Science Robotics, CVPR, ECCV, IJCV, AAAI, IJCAI, TOG, AAMAS, MICCAI, etc.

SELECTED PUBLICATIONS

  1. Zhu, X., Zhou, H., Wang T., Hong, F., Ma, Y., Li, W., Li, H., Lin, D.. Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral, 2021

  2. He, Y., Pang, A., Chen, X., Liang H., Wu M., Ma, Y., Xu L.. ChallenCap: Monocular 3D Capture of Challenging Human Performances using Multi-Modal References. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Oral, 2021

  3. Yang, W., Li, Q., Liu, W., Yu, Y., Ma, Y., He, S., Pan, J.. Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-view Transformation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021

  4. Ma, Y., Zhu, X., Cheng, X., Yang, R., Liu, J., Manocha, D. AutoTrajectory: Label-free Trajectory Extraction and Prediction from Videos using Dynamic Points. ECCV, 2020.

  5. Zhu, X., Ma, Y., Wang, T., Xu, Y., Shi, J., Lin, D. SSN: Shape Signature Networks for Multi-class Object Detection from Point Clouds. ECCV, 2020.

  6. Ma, Y., Zhu, X., Zhang, S., Yang, R., Wang, W., Manocha, D. Trafficpredict: Trajectory prediction for heterogeneous traffic-agents. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 33, pp. 6120-6127), 2019.

  7. Li, W., Pan, C. W., Zhang, R., Ren, J. P., Ma, Y. X., Fang, J., etc. AADS: Augmented autonomous driving simulation using data-driven algorithms. Science Robotics, 4(28), 2019.

  8. Chen, R., Ma, Y., Chen, N., Lee, D., Wang, W. Cephalometric Landmark Detection by Attentive Feature Pyramid Fusion and Regression-Voting. In International Conference on Medical Image Computing and Computer-Assisted Intervention (pp. 873-881). Springer, 2019.

  9. Yi, Y., Ni, F., Ma, Y., Zhu, X., Qi, Y., Qiu, R., ... Wang, Y. High Performance Gesture Recognition via Effective and Efficient Temporal Modeling. In IJCAI (pp. 1003-1009), 2019.

  10. Ma, Y., Manocha, D., Wang, W. Efficient reciprocal collision avoidance between heterogeneous agents using ctmat. AAMAS, 2018.

  11. Ma, Y., Manocha, D., Wang, W. Autorvo: Local navigation with dynamic constraints in dense heterogeneous traffic. CSCS, 2018.

  12. Ma, Y., Chen, Z., Hu, W., Wang, W. Packing irregular objects in 3D space via hybrid optimization. In Computer Graphics Forum (Vol. 37, No. 5, pp. 49-59), 2018.

  13. Chen, W.*, Ma, Y.*, Lefebvre, S., Xin, S., Martínez, J., Wang, W. (2017). Fabricable tile decors. ACM Transactions on Graphics (TOG), 36(6), 1-15, 2017, (*indicates co-first author).