| Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework X Ma, C Qin, H You, H Ran, Y Fu ICLR 2022, 2022 | 725 | 2022 |
| F-cooper: Feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds Q Chen, X Ma, S Tang, J Guo, Q Yang, S Fu SEC 2019, 2019 | 370 | 2019 |
| Spanet: Spatial pyramid attention network for enhanced image recognition J Guo, X Ma, A Sansom, M McGuire, A Kalaani, Q Chen, S Tang, Q Yang, ... ICME 2020, 2020 | 101 | 2020 |
| Rewrite the Stars X Ma, X Dai, Y Bai, Y Wang, Y Fu CVPR 2024, 2024 | 91 | 2024 |
| Image as Set of Points X Ma, Y Zhou, H Wang, C Qin, B Sun, C Liu, Y Fu ICLR 2023, 2023 | 74 | 2023 |
| Towards Layer-wise Image Vectorization X Ma, Y Zhou, X Xu, B Sun, V Filev, N Orlov, Y Fu, H Shi CVPR 2022, 2022 | 67 | 2022 |
| Spatial Pyramid Attention for Deep Convolutional Neural Networks X Ma, J Guo, A Sansom, M McGuire, A Kalaani, Q Chen, S Tang, Q Yang, ... IEEE TMM, 2021 | 37 | 2021 |
| Making Reconstruction-based Method Great Again for Video Anomaly Detection Y Wang, C Qin, Y Bai, Y Xu, X Ma, Y Fu ICDM 2022, 2022 | 30 | 2022 |
| Robust discriminant feature selection via joint L2, 1-norm distance minimization and maximization Z Yang, Q Ye, Q Chen, X Ma, L Fu, G Yang, H Yan, F Liu Knowledge-Based Systems, 2020 | 28 | 2020 |
| DCANet: Learning connected attentions for convolutional neural networks X Ma, J Guo, S Tang, Z Qiao, Q Chen, Q Yang, S Fu arXiv, 2020 | 28 | 2020 |
| L2P-norm distance twin support vector machine X Ma, Q Ye, H Yan IEEE Access 5, 23473-23483, 2017 | 22 | 2017 |
| BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation M Li, Y Zhang, X Ma, Y Qu, Y Fu ICCV 2023, 2023 | 17 | 2023 |
| Efficient Modulation for Vision Networks X Ma, X Dai, J Yang, B Xiao, Y Chen, Y Fu, L Yuan ICLR 2024, 2024 | 14 | 2024 |
| Parameter-Efficient Masking Networks Y Bai, H Wang, X Ma, Y Zhang, Z Tao, Y Fu NeurIPS 2022, 2022 | 13 | 2022 |
| A Close Look at Spatial Modeling: From Attention to Convolution X Ma, H Wang, C Qin, K Li, X Zhao, J Fu, Y Fu arXiv, 2022 | 12 | 2022 |
| Learning Connected Attentions for Convolutional Neural Networks X Ma, J Guo, S Tang, Z Qiao, Q Chen, Q Yang, S Fu, P Palacharla, ... ICME 2020, 2021 | 12 | 2021 |
| Efficient Converted Spiking Neural Network for 3D and 2D Classification Y Lan, Y Zhang, X Ma, Y Qu, Y Fu ICCV 2023, 2023 | 9 | 2023 |
| P-Order L2-Norm Distance Twin Support Vector Machine X Ma, Y Liu, Q Ye ACPR 2017, 617-622, 2017 | 5 | 2017 |
| Position-aware recalibration module: Learning from feature semantics and feature position X Ma, S Fu IJCAI 2020, 2020 | 4 | 2020 |
| Attention meets normalization and beyond X Ma, J Guo, Q Chen, S Tang, Q Yang, S Fu ICME 2020, 2020 | 3 | 2020 |
Song FuProfessor, University of North TexasZweryfikowany adres z unt.edu