Guangzhi Cao

16 papers A* 1C 2Misc 2Journal 6Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
S2D: Sparse to Dense Lifting for 3D Reconstruction with Minimal Inputs.
CoRR
Yuzhou Ji, Qijian Tian, He Zhu, Xiaoqi Jiang, Guangzhi Cao, Lizhuang Ma, Yuan Xie, Xin Tan
2024 A* conf
Improving Radial Imbalances with Hybrid Voxelization and RadialMix for LiDAR 3D Semantic Segmentation.
ICRA
Jiale Li, Hang Dai, Yu Wang, Guangzhi Cao, Chun Luo, Yong Ding
2024 J jnl
UniVision: A Unified Framework for Vision-Centric 3D Perception.
CoRR
Yu Hong, Qian Liu, Huayuan Cheng, Danjiao Ma, Hang Dai, Yu Wang, Guangzhi Cao, Yong Ding
2023 J jnl
Large Trajectory Models are Scalable Motion Predictors and Planners.
CoRR
Qiao Sun, Shiduo Zhang, Danjiao Ma, Jingzhe Shi, Derun Li, Simian Luo, Yu Wang, Ningyi Xu, Guangzhi Cao, Hang Zhao
2011 J jnl
Sparse Matrix Transform for Hyperspectral Image Processing.
IEEE J. Sel. Top. Signal Process.
James Theiler, Guangzhi Cao, Leonardo R. Bachega, Charles A. Bouman
2011 J jnl
The Sparse Matrix Transform for Covariance Estimation and Analysis of High Dimensional Signals.
IEEE Trans. Image Process.
Guangzhi Cao, Leonardo R. Bachega, Charles A. Bouman
2010 Misc conf
Fast signal analysis and decomposition on graphs using the Sparse Matrix Transform.
ICASSP
Leonardo R. Bachega, Guangzhi Cao, Charles A. Bouman
2010 Misc conf
High dimensional regression using the sparse matrix transform (SMT).
ICASSP
Guangzhi Cao, Yandong Guo, Charles A. Bouman
2010 C conf
Sparse matrix transform for fast projection to reduced dimension.
IGARSS
James Theiler, Guangzhi Cao, Charles A. Bouman
2009 — conf
Fast space-varying convolution and its application in stray light reduction.
Computational Imaging
Jianing Wei, Guangzhi Cao, Charles A. Bouman, Jan P. Allebach
2009 J jnl
Noniterative MAP Reconstruction Using Sparse Matrix Representations.
IEEE Trans. Image Process.
Guangzhi Cao, Charles A. Bouman, Kevin J. Webb
2009 — conf
Weak signal detection in hyperspectral imagery using sparse matrix transform (smt) covariance estimation.
WHISPERS
Guangzhi Cao, Charles A. Bouman, James Theiler
2008 — conf
Covariance Estimation for High Dimensional Data Vectors Using the Sparse Matrix Transform.
NIPS
Guangzhi Cao, Charles A. Bouman
2008 — conf
Results in non-iterative MAP reconstruction for optical tomography.
Computational Imaging
Guangzhi Cao, Charles A. Bouman, Kevin J. Webb
2007 — conf
Fast Reconstruction Algorithms for Optical Tomography Using Sparse Matrix Representations.
ISBI
Guangzhi Cao, Charles A. Bouman, Kevin J. Webb
2004 C conf
A novel local invariant descriptor adapted to mobile robot vision.
ACC
Guangzhi Cao, Jiaqian Chen, Jingping Jiang