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ORCIDLipu Zhou
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2020 – today
- 2023
[c20]Lipu Zhou:
Efficient Second-Order Plane Adjustment. CVPR 2023: 13113-13121- [c19]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. ICCV 2023: 17682-17692 - [c18]Lipu Zhou, Jiacheng Liu, Fengguang Zhai, Pan Ai, Kefei Ren, Yinian Mao, Guoquan Huang, Ziyang Meng, Michael Kaess
:
Efficient Bundle Adjustment for Coplanar Points and Lines. ICRA 2023: 8356-8363 - [c17]Jiaxin Hu, Kefei Ren, Xiaoyu Xu, Lipu Zhou, Xiaoming Lang, Yinian Mao, Guoquan Huang:
Efficient Visual-Inertial Navigation with Point-Plane Map. ICRA 2023: 10659-10665 - [i7]Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang:
Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. CoRR abs/2307.08209 (2023) - 2022
- [j7]Lipu Zhou, Guoquan Huang, Yinian Mao, Jincheng Yu, Shengze Wang, Michael Kaess:
$\mathcal {PLC}$-LiSLAM: LiDAR SLAM With Planes, Lines, and Cylinders. IEEE Robotics Autom. Lett. 7(3): 7163-7170 (2022) - [j6]Zihan Lin, Jincheng Yu, Lipu Zhou, Xudong Zhang, Jian Wang, Yu Wang:
Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline. IEEE Robotics Autom. Lett. 7(4): 12443-12450 (2022) - [c16]Lipu Zhou, Guoquan Huang, Yinian Mao, Shengze Wang, Michael Kaess:
EDPLVO: Efficient Direct Point-Line Visual Odometry. ICRA 2022: 7559-7565 - [i6]Zihan Lin, Jincheng Yu, Lipu Zhou, Xudong Zhang, Jian Wang, Yu Wang:
Point Cloud Change Detection With Stereo V-SLAM: Dataset, Metrics and Baseline. CoRR abs/2207.00246 (2022) - [i5]Lipu Zhou:
Efficient Second-Order Plane Adjustment. CoRR abs/2211.11542 (2022) - 2021
- [j5]Lipu Zhou, Daniel Koppel, Michael Kaess:
A Complete, Accurate and Efficient Solution for the Perspective-N-Line Problem. IEEE Robotics Autom. Lett. 6(2): 699-706 (2021) - [j4]Lipu Zhou, Daniel Koppel, Michael Kaess:
LiDAR SLAM With Plane Adjustment for Indoor Environment. IEEE Robotics Autom. Lett. 6(4): 7073-7080 (2021) - [j3]Lipu Zhou, Shengze Wang, Michael Kaess:
DPLVO: Direct Point-Line Monocular Visual Odometry. IEEE Robotics Autom. Lett. 6(4): 7113-7120 (2021) - [c15]Lipu Zhou, Shengze Wang, Michael Kaess:
π-LSAM: LiDAR Smoothing and Mapping With Planes. ICRA 2021: 5751-5757 - [i4]Zeyu Wan, Yu Zhang, Bin He, Zhuofan Cui, Weichen Dai, Lipu Zhou, Guoquan Huang:
Observation Contribution Theory for Pose Estimation Accuracy. CoRR abs/2111.07723 (2021) - 2020
- [j2]Lipu Zhou, Michael Kaess:
Windowed Bundle Adjustment Framework for Unsupervised Learning of Monocular Depth Estimation With U-Net Extension and Clip Loss. IEEE Robotics Autom. Lett. 5(2): 3283-3290 (2020) - [c14]Lipu Zhou, Shengze Wang, Michael Kaess:
A Fast and Accurate Solution for Pose Estimation from 3D Correspondences. ICRA 2020: 1308-1314 - [c13]Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrücker, Michael Kaess:
An Efficient Planar Bundle Adjustment Algorithm. ISMAR 2020: 136-145 - [i3]Lipu Zhou, Daniel Koppel, Hui Ju, Frank Steinbrücker, Michael Kaess:
An Efficient Planar Bundle Adjustment Algorithm. CoRR abs/2006.00187 (2020)
2010 – 2019
- 2019
- [c12]Lipu Zhou, Yi Yang, Montiel Abello, Michael Kaess:
A Robust and Efficient Algorithm for the PnL Problem Using Algebraic Distance to Approximate the Reprojection Distance. AAAI 2019: 9307-9315 - [c11]Lipu Zhou, Michael Kaess:
An Efficient and Accurate Algorithm for the Perspecitve-n-Point Problem. IROS 2019: 6245-6252 - [i2]Lipu Zhou, Shengze Wang, Jiamin Ye, Michael Kaess:
Do not Omit Local Minimizer: a Complete Solution for Pose Estimation from 3D Correspondences. CoRR abs/1904.01759 (2019) - 2018
- [j1]Zhidong Deng, Lipu Zhou:
Detection and Recognition of Traffic Planar Objects Using Colorized Laser Scan and Perspective Distortion Rectification. IEEE Trans. Intell. Transp. Syst. 19(5): 1485-1495 (2018) - [c10]Lipu Zhou, Jiamin Ye, Michael Kaess:
A Stable Algebraic Camera Pose Estimation for Minimal Configurations of 2D/3D Point and Line Correspondences. ACCV (4) 2018: 273-288 - [c9]Lipu Zhou, Zimo Li, Michael Kaess:
Automatic Extrinsic Calibration of a Camera and a 3D LiDAR Using Line and Plane Correspondences. IROS 2018: 5562-5569 - [i1]Lipu Zhou, Jiamin Ye, Montiel Abello, Shengze Wang, Michael Kaess:
Unsupervised Learning of Monocular Depth Estimation with Bundle Adjustment, Super-Resolution and Clip Loss. CoRR abs/1812.03368 (2018) - 2017
- [c8]Lipu Zhou:
Visual Relocalization Using Long-Short Term Memory Fully Convolutional Network. ICTAI 2017: 602-609 - 2015
- [c7]Lipu Zhou, Shuaixiang Dai, Liwei Chen:
Learn to Solve Algebra Word Problems Using Quadratic Programming. EMNLP 2015: 817-822 - 2014
- [c6]Lipu Zhou, Zhidong Deng:
Perspective distortion rectification for planar object based on LIDAR and camera data fusion. ITSC 2014: 270-275 - [c5]Lipu Zhou, Zhidong Deng:
LIDAR and vision-based real-time traffic sign detection and recognition algorithm for intelligent vehicle. ITSC 2014: 578-583 - 2013
- [c4]Lipu Zhou:
Fusing laser point cloud and visual image at data level using a new reconstruction algorithm. Intelligent Vehicles Symposium 2013: 1356-1361 - 2012
- [c3]Lipu Zhou, Zhidong Deng:
A new algorithm for computing the projection matrix between a LIDAR and a camera based on line correspondences. ICUMT 2012: 436-441 - [c2]Lipu Zhou, Zhidong Deng:
Extrinsic calibration of a camera and a lidar based on decoupling the rotation from the translation. Intelligent Vehicles Symposium 2012: 642-648 - [c1]Wentao Yao, Zhidong Deng, Lipu Zhou:
Road curb detection using 3D lidar and integral laser points for intelligent vehicles. SCIS&ISIS 2012: 100-105
Coauthor Index
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