| RGB-D SLAM in Dynamic Environments Using Point Correlations W Dai, Y Zhang, P Li, Z Fang, S Scherer IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020 | 144 | 2020 |
| Dynamically adjust word representations using unaligned multimodal information J Guo, J Tang, W Dai, Y Ding, W Kong Proceedings of the 30th ACM International Conference on Multimedia, 3394-3402, 2022 | 17 | 2022 |
| Brain-Machine coupled learning method for facial emotion recognition D Liu, W Dai, H Zhang, X Jin, J Cao, W Kong IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 12 | 2023 |
| Thermal-inertial SLAM for the environments with challenging illumination J Jiang, X Chen, W Dai, Z Gao, Y Zhang IEEE Robotics and Automation Letters 7 (4), 8767-8774, 2022 | 12 | 2022 |
| Direct near-infrared-depth visual slam with active lighting D Kong, Y Zhang, W Dai IEEE robotics and Automation Letters 6 (4), 7057-7064, 2021 | 12 | 2021 |
| Multi-spectral visual odometry without explicit stereo matching W Dai, Y Zhang, D Sun, N Hovakimyan, P Li 2019 International Conference on 3D Vision (3DV), 443-452, 2019 | 12 | 2019 |
| A multi-spectral dataset for evaluating motion estimation systems W Dai, Y Zhang, S Chen, D Sun, D Kong 2021 IEEE International Conference on Robotics and Automation (ICRA), 5560-5566, 2021 | 11* | 2021 |
| RGB‐D SLAM with moving object tracking in dynamic environments W Dai, Y Zhang, Y Zheng, D Sun, P Li IET Cyber‐Systems and Robotics 3 (4), 281-291, 2021 | 7 | 2021 |
| Control design for an aerial manipulator for pick-and-place tasks D Sun, N Wan, W Dai, Y Zhang, N Hovakimyan AIAA Scitech 2019 Forum, 1291, 2019 | 7 | 2019 |
| Feature regions segmentation based RGB-D visual odometry in dynamic environment Y Zhang, W Dai, Z Peng, P Li, Z Fang IECON 2018-44th Annual Conference of the IEEE Industrial Electronics Society …, 2018 | 6 | 2018 |
| LiDAR intensity completion: Fully exploiting the message from LiDAR sensors W Dai, S Chen, Z Huang, Y Xu, D Kong Sensors 22 (19), 7533, 2022 | 5 | 2022 |
| Enhance accuracy: Sensitivity and uncertainty theory in LiDAR odometry and mapping Z Wan, Y Zhang, B He, Z Cui, W Dai, L Zhou, G Huang arXiv preprint arXiv:2111.07723, 2021 | 4 | 2021 |
| Observation contribution theory for pose estimation accuracy Z Wan, Y Zhang, B He, Z Cui, W Dai, L Zhou, G Huang arXiv preprint arXiv:2111.07723, 2021 | 4 | 2021 |
| Thermal-Depth Odometry in Challenging Illumination Conditions X Chen, W Dai, J Jiang, B He, Y Zhang IEEE Robotics and Automation Letters, 2023 | 2 | 2023 |
| Continuous-Time LiDAR-Inertial-Vehicle Odometry Method with Lateral Acceleration Constraint B He, W Dai, Z Wan, H Zhang, Y Zhang 2023 IEEE International Conference on Robotics and Automation (ICRA), 3997-4003, 2023 | 1 | 2023 |
| Error Analysis-Based Map Compression for Efficient 3-D Lidar Localization Y Liu, J Tao, B He, Y Zhang, W Dai IEEE Transactions on Industrial Electronics 70 (10), 10323-10332, 2022 | 1 | 2022 |
| An accurate and efficient monocular mixed match SLAM D Weichen, Z Yu, L Ping 2017 36th Chinese Control Conference (CCC), 6875-6880, 2017 | 1 | 2017 |
| AEGIS-Net: Attention-Guided Multi-Level Feature Aggregation for Indoor Place Recognition Y Ming, J Ma, X Yang, W Dai, Y Peng, W Kong ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | | 2024 |
| HG3-NeRF: Hierarchical Geometric, Semantic, and Photometric Guided Neural Radiance Fields for Sparse View Inputs Z Gao, W Dai, Y Zhang arXiv preprint arXiv:2401.11711, 2024 | | 2024 |
| Drift‐free localisation using prior cross‐source map for indoor low‐light environments J Tao, W Dai, D Kong, J Wan, B He, Y Zhang IET Cyber‐Systems and Robotics 5 (1), e12081, 2023 | | 2023 |
Donglei SunUniversity of Nottingham Ningbo ChinaVerified email at nottingham.edu.cn
