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Academic Achievements
1. Chenhui Shi et al., A Super Lightweight Neural Representation for Large-scale 3D Mapping, CVPR, 2025.
2. Chade Li et al., FEAST-Mamba: FEAture and SpaTial Aware Mamba Network with Bidirectional Orthogonal Fusion for Cross-Modal Point Cloud Segmentation, AAAI, 2025.
3. Yidi Zhang et al., CornerVINS: Accurate Localization and Layout Mapping for Structural Environments Leveraging Hierarchical Geometric Representations, IEEE Transactions on Robotics, 2025.
4. Zewen Xu et al., DOGE: An Extrinsic Orientation and Gyroscope Bias Estimation for Visual-Inertial Odometry Initialization, ICRA, 2025.
5. Chenhui Shi et al., Accurate and Complete Neural Implicit Surface Reconstruction in Street Scenes Using Images and LiDAR Point Clouds, ISPRS Journal of Photogrammetry and Remote Sensing, 2025.
6. Yidi Zhang et al., CID-SIMS: Complex Indoor Dataset with Semantic Information and Multi-sensor Data from a Ground Wheeled Robot Viewpoint, The International Journal of Robotics Research, 2024.
7. Bingxi Liu et al., NPR: Nocturnal Place Recognition Using Nighttime Translation in Large-Scale Training Procedures, IEEE Journal of Selected Topics in Signal Processing, 2024.
8. Haolin Wang et al., RSS: Robust Stereo SLAM With Novel Extraction and Full Exploitation of Plane Features, IEEE Robotics and Automation Letters, 2024.
9. Yujie Fu et al., Covariant Peak Constraint for Accurate Keypoint Detection and Keypoint-Specific Descriptor, IEEE Transactions on Multimedia, 2024.
10. Yujie Fu et al., Learning to Reduce Scale Differences for Large-Scale Invariant Image Matching, IEEE Transactions on Circuits and Systems for Video Technology, 2023.
11. Chenhui Shi et al., Accurate Implicit Neural Mapping With More Compact Representation in Large-Scale Scenes Using Ranging Data, IEEE Robotics and Automation Letters, 2023.
12. Shiyi Guo et al., An Accurate Outlier Rejection Network With Higher Generalization Ability for Point Cloud Registration, IEEE Robotics and Automation Letters, 2023.
13. Zewen Xu et al., PLPL-VIO: A Novel Probabilistic.
Research Experience
Professor, Robot Vision Group, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences.
Background
Research Interests: Camera calibration and pose determination, image matching, three-dimensional reconstruction, vision geometry, SLAM, vision on mobile devices; Geometric invariants and applications in computer vision and pattern recognition; Polynomial elimination and applications in computer vision; Robot navigation, AR, VR.