Guangzhi Cao

According to our database, Guangzhi Cao authored at least 16 papers between 2004 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

S2D: Sparse to Dense Lifting for 3D Reconstruction with Minimal Inputs.

Yuzhou Ji, Qijian Tian, He Zhu, Xiaoqi Jiang, Guangzhi Cao, Lizhuang Ma, Yuan Xie, Xin Tan

CoRR, March, 2026

2024

UniVision: A Unified Framework for Vision-Centric 3D Perception.

Yu Hong, Qian Liu, Huayuan Cheng, Danjiao Ma, Hang Dai, Yu Wang, Guangzhi Cao, Yong Ding

CoRR, 2024

Improving Radial Imbalances with Hybrid Voxelization and RadialMix for LiDAR 3D Semantic Segmentation.

Jiale Li, Hang Dai, Yu Wang, Guangzhi Cao, Chun Luo, Yong Ding

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Large Trajectory Models are Scalable Motion Predictors and Planners.

Qiao Sun, Shiduo Zhang, Danjiao Ma, Jingzhe Shi, Derun Li, Simian Luo, Yu Wang, Ningyi Xu, Guangzhi Cao, Hang Zhao

CoRR, 2023

2011

The Sparse Matrix Transform for Covariance Estimation and Analysis of High Dimensional Signals.

Guangzhi Cao, Leonardo R. Bachega, Charles A. Bouman

IEEE Trans. Image Process., 2011

Sparse Matrix Transform for Hyperspectral Image Processing.

James Theiler, Guangzhi Cao, Leonardo R. Bachega, Charles A. Bouman

IEEE J. Sel. Top. Signal Process., 2011

2010

Sparse matrix transform for fast projection to reduced dimension.

James Theiler, Guangzhi Cao, Charles A. Bouman

Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

High dimensional regression using the sparse matrix transform (SMT).

Guangzhi Cao, Yandong Guo, Charles A. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2010

Fast signal analysis and decomposition on graphs using the Sparse Matrix Transform.

Leonardo R. Bachega, Guangzhi Cao, Charles A. Bouman

Proceedings of the IEEE International Conference on Acoustics, 2010

2009

Noniterative MAP Reconstruction Using Sparse Matrix Representations.

Guangzhi Cao, Charles A. Bouman, Kevin J. Webb

IEEE Trans. Image Process., 2009

Weak signal detection in hyperspectral imagery using sparse matrix transform (smt) covariance estimation.

Guangzhi Cao, Charles A. Bouman, James Theiler

Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Fast space-varying convolution and its application in stray light reduction.

Jianing Wei, Guangzhi Cao, Charles A. Bouman, Jan P. Allebach

Proceedings of the Computational Imaging VII, 2009

2008

Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform.

Guangzhi Cao, Charles A. Bouman

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Results in non-iterative MAP reconstruction for optical tomography.

Guangzhi Cao, Charles A. Bouman, Kevin J. Webb

Proceedings of the Computational Imaging VI, 2008

2007

Fast Reconstruction Algorithms for Optical Tomography Using Sparse Matrix Representations.

Guangzhi Cao, Charles A. Bouman, Kevin J. Webb

Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

2004

A novel local invariant descriptor adapted to mobile robot vision.

Guangzhi Cao, Jiaqian Chen, Jingping Jiang

Proceedings of the 2004 American Control Conference, 2004