Rate My Professor Xin Li

Li's research specializations encompass visual computing, including geometric and spatiotemporal data processing, understanding, and modeling; computer vision and image/video analysis with deep learning; generative modeling for AI-generated images and 3D content; 3D reconstruction; visual simultaneous localization and mapping; real-time AI algorithms for virtual and augmented reality; and applications in computer-aided design, computational forensics, and medical image analysis. He has authored over 120 peer-reviewed papers. Key publications include "Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models" (ECCV 2024), "SO-SMPL: Disentangled Clothed Avatar Generation from Text Descriptions" (ECCV 2024), "Commonsense Prototype for Outdoor Unsupervised 3D Object Detection" (CVPR 2024), "V-FloodNet: A Video Segmentation System for Urban Flood Detection and Quantification" (Environmental Modelling & Software, 2022), and "KT-GAN: Knowledge-Transfer Generative Adversarial Network for Text-to-Image Synthesis" (IEEE Transactions on Image Processing, 2020). His work has garnered over 6,700 citations. Li has received the Solid Modeling Association Young Investigator Award (2020), IBM Faculty Award (2011), LSU Flagship Faculty Award (2010), and supervised the 2016 LSU Distinguished Dissertation Award recipient. He serves as associate editor for Computer-Aided Design, Journal of Computer Science and Technology, and AAAS Research, and is an IEEE Senior Member.