| Large margin object tracking with circulant feature maps M Wang, Y Liu, Z Huang Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 787 | 2017 |
| Actionclip: A new paradigm for video action recognition M Wang, J Xing, Y Liu arXiv preprint arXiv:2109.08472, 2021 | 453 | 2021 |
| Extended feature pyramid network for small object detection C Deng, M Wang, L Liu, Y Liu, Y Jiang IEEE Transactions on Multimedia 24, 1968-1979, 2021 | 359 | 2021 |
| Hr-depth: High resolution self-supervised monocular depth estimation X Lyu, L Liu, M Wang, X Kong, L Liu, Y Liu, X Chen, Y Yuan Proceedings of the AAAI conference on artificial intelligence 35 (3), 2294-2301, 2021 | 272 | 2021 |
| Lic-fusion: Lidar-inertial-camera odometry X Zuo, P Geneva, W Lee, Y Liu, G Huang 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 216 | 2019 |
| Learning by analogy: Reliable supervision from transformations for unsupervised optical flow estimation L Liu, J Zhang, R He, Y Liu, Y Wang, Y Tai, D Luo, C Wang, J Li, F Huang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 200 | 2020 |
| Robust visual SLAM with point and line features X Zuo, X Xie, Y Liu, G Huang 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 182 | 2017 |
| 3d point cloud geometry compression on deep learning T Huang, Y Liu Proceedings of the 27th ACM international conference on multimedia, 890-898, 2019 | 181 | 2019 |
| Quick attribute reduct algorithm for neighborhood rough set model L Yong, H Wenliang, J Yunliang, Z Zhiyong Information Sciences 271, 65-81, 2014 | 177 | 2014 |
| Lic-fusion 2.0: Lidar-inertial-camera odometry with sliding-window plane-feature tracking X Zuo, Y Yang, P Geneva, J Lv, Y Liu, G Huang, M Pollefeys 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 140 | 2020 |
| Semantic graph based place recognition for 3d point clouds X Kong, X Yang, G Zhai, X Zhao, X Zeng, M Wang, Y Liu, W Li, F Wen 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 133 | 2020 |
| Understand scene categories by objects: A semantic regularized scene classifier using convolutional neural networks Y Liao, S Kodagoda, Y Wang, L Shi, Y Liu 2016 IEEE international conference on robotics and automation (ICRA), 2318-2325, 2016 | 133 | 2016 |
| Parse geometry from a line: Monocular depth estimation with partial laser observation Y Liao, L Huang, Y Wang, S Kodagoda, Y Yu, Y Liu 2017 IEEE international conference on robotics and automation (ICRA), 5059-5066, 2017 | 132 | 2017 |
| Fcfr-net: Feature fusion based coarse-to-fine residual learning for depth completion L Liu, X Song, X Lyu, J Diao, M Wang, Y Liu, L Zhang Proceedings of the AAAI conference on artificial intelligence 35 (3), 2136-2144, 2021 | 131 | 2021 |
| Freenet: Multi-identity face reenactment J Zhang, X Zeng, M Wang, Y Pan, L Liu, Y Liu, Y Ding, C Fan Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 129 | 2020 |
| Feature selection based on dependency margin Y Liu, F Tang, Z Zeng IEEE Transactions on Cybernetics 45 (6), 1209-1221, 2014 | 114 | 2014 |
| SSC: Semantic scan context for large-scale place recognition L Li, X Kong, X Zhao, T Huang, W Li, F Wen, H Zhang, Y Liu 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 98 | 2021 |
| SA-LOAM: Semantic-aided LiDAR SLAM with loop closure L Li, X Kong, X Zhao, W Li, F Wen, H Zhang, Y Liu 2021 IEEE International Conference on Robotics and Automation (ICRA), 7627-7634, 2021 | 95 | 2021 |
| Targetless calibration of lidar-imu system based on continuous-time batch estimation J Lv, J Xu, K Hu, Y Liu, X Zuo 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020 | 89 | 2020 |
| FDN: Feature decoupling network for head pose estimation H Zhang, M Wang, Y Liu, Y Yuan Proceedings of the AAAI conference on artificial intelligence 34 (07), 12789 …, 2020 | 89 | 2020 |
Mengmeng WangZhejiang UniversityVerified email at zju.edu.cn
