Ji Zhao, PhD

Email: zhaoji84 (at) gmail (dot) com

[DBLP] [github]

Publications (selected)

[19] Haoang Li, Ji Zhao, Jean-Charles Bazin, Pyojin Kim, Kyungdon Joo, Zhenjun Zhao, and Yun-Hui Liu. Hong Kong World: Leveraging Structural Regularity for Line-based SLAM. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45(11): 13035 - 13053, 2023.

[18] Banglei Guan, Ji Zhao*, Daniel Barath, and Friedrich Fraundorfer. Minimal Solvers for Relative Pose Estimation of Multi-Camera Systems using Affine Correspondences. International Journal of Computer Vision. 131, 324-345, 2023. [pdf] [code] (extended version of Guan et al. ICCV21)

[17] Banglei Guan, Ji Zhao*, Zhang Li, Fang Sun, and Friedrich Fraundorfer. Relative Pose Estimation with a Single Affine Correspondence. IEEE Transactions on Cybernetics. 52(10): 10111-10122, 2022. [pdf] [code] (extended version of Guan et al. CVPR20)

[16] Ji Zhao. An Efficient Solution to Non-Minimal Case Essential Matrix Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(4): 1777-1792, 2022. [pdf] [code]

[15] Haoang Li, Ji Zhao, Jean-Charles Bazin, and Yun-Hui Liu. Quasi-globally Optimal and Near/True Real-time Vanishing Point Estimation in Manhattan World.  IEEE Transactions on Pattern Analysis and Machine Intelligence. 44(3): 1503-1518, 2022.

[14] Banglei Guan, and Ji Zhao*. Affine Correspondences between Multi-Camera Systems for 6DOF Relative Pose Estimation. European Conference on Computer Vision (ECCV), 2022. [pdf] [code] (oral)

[13] Banglei Guan, and Ji Zhao*. Relative Pose Estimation for Multi-Camera Systems from Point Correspondences with Scale Ratio. ACM Multimedia, 2022. [pdf] [supplementary material] [code]

[12] Hao Li, Liangliang Pan, and Ji Zhao*. LiDAR-Aided Visual-Inertial Localization with Semantic Maps. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022. [pdf] 

[11] Banglei Guan, Ji Zhao*, Daniel Barath, and Friedrich Fraundorfer. Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences. International Conference on Computer Vision (ICCV), 2021. [pdf] [code]

[10] Yu Chen, Ji Zhao, and Laurent Kneip. Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021. [pdf] [code]

[9] Liangliang Pan, Kaijin Ji, and Ji Zhao*. Tightly-Coupled Multi-Sensor Fusion for Localization with LiDAR Feature Maps. IEEE International Conference on Robotics and Automation (ICRA), 2021. [pdf]

[8] Ji Zhao, Wanting Xu, and Laurent Kneip. A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [pdf]

[7] Banglei Guan, Ji Zhao*, Zhang Li, Fang Sun, and Friedrich Fraundorfer. Minimal Solutions for Relative Pose with a Single Affine Correspondence. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020. [pdf] [code]

[6] Ji Zhao, Laurent Kneip, Yijia He, and Jiayi Ma. Minimal Case Relative Pose Computation using Ray-Point-Ray Features. IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(5): 1176 - 1190, 2020. [pdf] [code]

[5] Yijia He, Ji Zhao, Yue Guo, Wenhao He, and Kui Yuan. PL-VIO: Tightly-Coupled Monocular Visual–Inertial Odometry Using Point and Line Features. Sensors, 18(4): 1159, 2018. [pdf] [code]

[4] Ji Zhao, Liantao Wang, Ricardo Cabral, and Fernando De la Torre. Feature and Region Selection for Visual Learning. IEEE Transactions on Image Processing, 25(3): 1084 - 1094, 2016. [pdf] [code]

[3] Ji Zhao, and Deyu Meng. FastMMD: Ensemble of Circular Discrepancy for Efficient Two-Sample Test. Neural Computation, 27(6): 1345 - 1372, MIT Press, 2015. [pdf] [code]

[2] Jiayi Ma, Ji Zhao, et al. Robust Point Matching via Vector Field Consensus. IEEE Transactions on Image Processing, 23(4): 1706 - 1721, 2014. [pdf]

[1] Ji Zhao, Jiayi Ma, et al.  A Robust Method for Vector Field Learning with Application to Mismatch Removing. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2011. [pdf] [code]

Code for other people's papers

Fastfood - Approximate Kernel Expansions in Loglinear Time [code]