• Professor, Visual Computing and Computational Media
  • Courtesy Faculty, Computer Science & Engineering
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Educational Background

  • Ph.D., Computer Science, State University of New York at Stony Brook – 2008
  • M.S., Computer Science, State University of New York at Stony Brook – 2005
  • B.S., Computer Science, University of Science and Technology of China (USTC) – 2003

Research Interests

    • Visual Computing
    • Computer Vision
    • Computer Graphics
    • Real-time AI Algorithms for Virtual/Augmented Reality (VR/AR)
    • Computer-aided Design/Engineering (CAD/CAE)

Awards & Honors

  • Solid Modeling Association (SMA), Young Investigator Award, 2020
  • IBM Faculty Award, December 2011
  • LSU Flagship Faculty, October 2010
  • C.W. Armstrong Jr. Professor of Engineering, LSU, since December 2012
  • Oskar R. Menton Professor of Electrical Engineering, LSU, since December 2013
  • LSU Distinguished Dissertation Award (as supervisor of Dr. Kang Zhang), 2016

Selected Publications

  • C. Zhang, G. Lin, L. Yang, X. Li, T. Komura, S. Schaefer, J. Keyser, and W. Wang, "Surface Extraction from Neural Unsigned Distance Fields," Proc. International Conference on Computer Vision (ICCV), 2023.
  • Q. Xia, J. Deng, C. Wen, H. Wu, S. Shi, X. Li, and C. Wang, "CoIn: Contrastive Instance Feature Mining for 3D Object Detection with Very Limited Annotations," Proc. International Conference on Computer Vision (ICCV), 2023.
  • J. Wang, C. Zhang, P. Wang, X. Li, P. Cobb, C. Theobalt, W. Wang, "Batch-based Model Registration for Fast 3D Sherd Reconstruction," Proc. International Conference on Computer Vision (ICCV), 2023.
  • H. Wu, C. Wen, S. Shi, X. Li, C. Wang, "Virtual Sparse Convolution for Multimodal 3D Object Detection," Proc. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
  • H. Wu, C. Wen, W. Li, X. Li, R. Yang, and C. Wang, "Transformation-Equivariant 3D Object Detection for Autonomous Driving," AAAI Conference on Artificial Intelligence (AAAI), 2023.
  • O. Alaofin, Y. Zhang, J. Sharma, and X. Li, "Cross-modality Super-resolution of Satellite Gravity Data for Geophysical Exploration," IEEE International Geoscience and Remote Sensing Symposium (IGRASS), 2022.
  • H. Wu, Q. Li, C. Wen, X. Li, X. Fan, C. Wang, "Tracklet proposal Network for Multi-Object Tracking on Point Clouds," International Joint Conference on Artificial Intelligence (IJCAI), 2021.
  • Y. Liang, X. Li, N. Jafari, and Q. Chen, "Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement," Neural Information Processing Systems (NeurIPS), 2020.
  • M. Korban, and X. Li, "DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition," European Conference on Computer Vision (ECCV), 2020.
  • W. Han, C. Wen, C. Wang, Q. Li, and X. Li, "Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling," AAAI Conference on Artificial Intelligence (AAAI), Oral, pp. 10925-10932, 2020.
  • H. Tan, X. Liu, X. Li, Y. Zhang, and B. Yin, "Semantics-enhanced Adversarial Nets for Text-to-Image Synthesis," International Conference on Computer Vision (ICCV), pp. 10501 - 10510, 2019.
  • X. Shen, C. Wang, X. Li, M. Cheng, Z. Yu, J. Li, C. Wen, M. Cheng, Z. He, "RF-Net: An End-to-End Image Matching Network based on Receptive Field," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8132 - 8140, 2019.
  • Q. Li, S. Chen, C. Wang, X. Li, C. Wen, M. Cheng, J. Li, "LO-Net: Deep Real-time Lidar Odometry," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 8473 -8482, 2019.
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