| Road segmentation using cnn and distributed lstm Y Lyu, L Bai, X Huang 2019 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2019 | 89* | 2019 |
| ChipNet: Real-time LiDAR processing for drivable region segmentation on an FPGA Y Lyu, L Bai, X Huang IEEE Transactions on Circuits and Systems I: Regular Papers 66 (5), 1769-1779, 2018 | 89 | 2018 |
| Real-time road segmentation using LiDAR data processing on an FPGA Y Lyu, L Bai, X Huang 2018 IEEE international symposium on circuits and systems (ISCAS), 1-5, 2018 | 68 | 2018 |
| Learning to segment 3d point clouds in 2d image space Y Lyu, X Huang, Z Zhang Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 64 | 2020 |
| Lodonet: A deep neural network with 2d keypoint matching for 3d lidar odometry estimation C Zheng, Y Lyu, M Li, Z Zhang Proceedings of the 28th ACM international conference on multimedia, 2391-2399, 2020 | 52 | 2020 |
| Automatic Building and Labeling of HD Maps with Deep Learning M Elhousni, Y Lyu, Z Zhang, X Huang The Thirty-Second Annual Conference on Innovative Applications of Artificial …, 2020 | 38 | 2020 |
| Roadnet-rt: High throughput cnn architecture and soc design for real-time road segmentation L Bai, Y Lyu, X Huang IEEE Transactions on Circuits and Systems I: Regular Papers 68 (2), 704-714, 2020 | 36 | 2020 |
| An Interactive LiDAR to Camera Calibration Y Lyu, L Bai, M Elhousni, X Huang 2019 IEEE High Performance Extreme Computing Conference (HPEC), 1--6, 2019 | 32 | 2019 |
| Camera-based blind spot detection with a general purpose lightweight neural network Y Zhao, L Bai, Y Lyu, X Huang Electronics 8 (2), 233, 2019 | 32 | 2019 |
| Lidar odometry methodologies for autonomous driving: A survey N Jonnavithula, Y Lyu, Z Zhang arXiv preprint arXiv:2109.06120, 2021 | 31 | 2021 |
| PointNet on FPGA for Real-Time LiDAR Point Cloud Processing L Bai, Y Lyu, X Xu, X Huang 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 2020 | 19 | 2020 |
| A Unified Hardware Architecture for Convolutions and Deconvolutions in CNN L Bai, Y Lyu, X Huang 2020 IEEE International Symposium on Circuits and Systems (ISCAS), 1-5, 2020 | 18 | 2020 |
| TreeRNN: Topology-Preserving Deep GraphEmbedding and Learning Y Lyu, M Li, X Huang, Z Zhang Proceedings of the 25th International Conference on Pattern Recognition, 2021 | 12 | 2021 |
| EllipsoidNet: Ellipsoid representation for point cloud classification and segmentation Y Lyu, X Huang, Z Zhang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 10 | 2022 |
| Roadnet: An 80-mw hardware accelerator for road detection Y Zhou, Y Lyu, X Huang IEEE Embedded Systems Letters 11 (1), 21-24, 2018 | 9 | 2018 |
| Revisiting 2D convolutional neural networks for graph-based applications Y Lyu, X Huang, Z Zhang IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (6), 6909-6922, 2021 | 3 | 2021 |
| Enhanced LiDAR-based Localization via Multi-resolution Iterative Closest Point Algorithms and Feature Extraction Y Lyu, X Zhang, F Tao IEEE Transactions on Artificial Intelligence, 2024 | 2* | 2024 |
| Self-Supervised Visual Attention Learning for Vehicle Re-Identification. M Li, Y Zhao, Y Lyu, Z Zhang ArXiv, abs/2010.09221, 2020 | 1 | 2020 |
| 2D Representation Learning of 3D Point Clouds in Segmentation and Localization for Autonomous Driving Y Lyu WORCESTER POLYTECHNIC INSTITUTE, 2021 | | 2021 |
| Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Y Lyu, X Huang, Z Zhang arXiv preprint arXiv:1909.12383, 2019 | | 2019 |
Xinming HuangProfessor, Worcester Polytechnic InstituteZweryfikowany adres z wpi.edu