Scholars

Professor

Positions:

Professor, Visualization, School of Architecture

Research Areas:

Image processing, Computer graphics, Forensic anthropology, Computer vision, Virtual reality, Geometrical models--Data processing, Computer-aided design--Computer programs

Single Page Bio

Profile Summary

xinli@tamu.edu

(979)-845-8283

Co-author Network

Map of Science

Co-investigator Network

Websites

Xin Li @ TAMU

ORCID

0000-0002-0144-9489

Research Areas:

Image processing, Computer graphics, Forensic anthropology, Computer vision, Virtual reality, Geometrical models--Data processing, Computer-aided design--Computer programs

overview

AI-assisted visual data processing and analysis;

Computer graphics;

Computer vision;

3D scene reconstruction;

Computer-aided design and engineering;

Computational Forensics;

Medical Image Analysis and Motion Modeling;

Robotic Simultaneous Localization and Mapping (SLAM);

Text-to-Image Synthesis with Deep Learning;

Cross-modality data fusion;

Real-time scene reconstruction and analysis for disaster warning and monitoring.

education and training

Ph.D. in Computer Science, Stony Brook University - (Stony Brook, New York, United States) 2008
M.S. in Computer Science, Stony Brook University - (Stony Brook, New York, United States) 2005
B.E. in Computer Science, University of Science and Technology of China - (Hefei, China) 2003

selected publications

Academic Articles82

Cao, Y., Liang, R., Zhu, W., Zhao, B., Chen, H., Shen, L., ... Li, X. (2023). Dynamic-excitation-based steady-state non-line-of-sight imaging via multi-branch convolutional neural network. OPTICS AND LASERS IN ENGINEERING. 161, 107369-107369.
Liang, Y., Li, X., Tsai, B., Chen, Q., & Jafari, N. (2023). V-FloodNet: A video segmentation system for urban flood detection and quantification. ENVIRONMENTAL MODELLING & SOFTWARE. 160, 105586-105586.
He, Z., Chen, D. u., Cao, Y., Yang, J., Cao, Y., Li, X., ... Lu, Z. (2023). Single image super-resolution based on progressive fusion of orientation-aware features. PATTERN RECOGNITION. 133, 109038-109038.
Nemati, S., Ghadimi, H., Li, X., Butler, L. G., Wen, H., & Guo, S. (2022). Automated Defect Analysis of Additively Fabricated Metallic Parts Using Deep Convolutional Neural Networks. JOURNAL OF MANUFACTURING AND MATERIALS PROCESSING. 6(6), 141-141.
Li, Z., Li, Z., Yao, L., Chen, Q., Zhang, J., Li, X., ... Xu, J. (2022). Multiple-Inputs Convolutional Neural Network for COVID-19 Classification and Critical Region Screening From Chest X-ray Radiographs: Model Development and Performance Evaluation.. JMIR Bioinform Biotech. 3(1), e36660-e36660.

Books2

Yu, W., & Li, X. (2017). Large-scale Geometric Data Processing and Structured Mesh Generation.
Li, X. (2009). Shape Mapping: For Graphics and Visual Computing. VDM Verlag.

Chapters1

Wan, S., Ye, T., Li, M., Zhang, H., & Li, X. (2012). Efficient Spherical Parametrization Using Progressive Optimization. Computational Visual Media. 170-177. Springer Nature.

Conference Papers43

Wu, H., Li, Q., Wen, C., Li, X., Fan, X., & Wang, C. (2021). Tracklet Proposal Network for Multi-Object Tracking on Point Clouds. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence. 1165-1171.
Korban, M., & Li, X. (2020). DDGCN: A Dynamic Directed Graph Convolutional Network for Action Recognition. 12365, 761-776.
Han, W., Wen, C., Wang, C., Li, X., & Li, Q. (2020). Point2Node: Correlation Learning of Dynamic-Node for Point Cloud Feature Modeling. THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE. 34(07), 10925-10932.
Tan, H., Liu, X., Li, X., Zhang, Y. i., & Yin, B. (2019). Semantics-enhanced Adversarial Nets for Text-to-Image Synthesis. 2019 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2019), 2019 IEEE/CVF International Conference on Computer Vision (ICCV). 00, 10500-10509.
Korban, M., Li, X., Miao, K., & Zhu, Y. (2019). 3D Human Body Inpainting using Intrinsic Statistical Shape Models. 14TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND EDUCATION (ICCSE 2019), 2019 14th International Conference on Computer Science & Education (ICCSE). 00, 1105-1110.