Xu Ma

According to our database, Xu Ma authored at least 27 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Accessing Vision Foundation Models at ImageNet-level Costs.

Yitian Zhang, Xu Ma, Yue Bai, Huan Wang, Yun Fu

CoRR, 2024

Efficient Modulation for Vision Networks.

Xu Ma, Xiyang Dai, Jianwei Yang, Bin Xiao, Yinpeng Chen, Yun Fu, Lu Yuan

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Rewrite the Stars.

Xu Ma, Xiyang Dai, Yue Bai, Yizhou Wang, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Image as Set of Points.

Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation.

Miaoyu Li, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Efficient Converted Spiking Neural Network for 3D and 2D Classification.

Yuxiang Lan, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

A Close Look at Spatial Modeling: From Attention to Convolution.

Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu

CoRR, 2022

Online Self-Evolving Anomaly Detection for Reliable Cloud Computing.

Tianyu Bai, Haili Wang, Jingda Guo, Xu Ma, Mahendra Talasila, Sihai Tang, Song Fu, Qing Yang

Proceedings of the 15th IEEE/ACM International Conference on Utility and Cloud Computing, 2022

Parameter-Efficient Masking Networks.

Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, Zhiqiang Tao, Yun Fu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MLCNN: Cross-Layer Cooperative Optimization and Accelerator Architecture for Speeding Up Deep Learning Applications.

Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Song Fu, Qing Yang, Mingxiong Liu

Proceedings of the 2022 IEEE International Parallel and Distributed Processing Symposium, 2022

Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework.

Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Making Reconstruction-based Method Great Again for Video Anomaly Detection.

Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2022

Towards Layer-wise Image Vectorization.

Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Spatial Pyramid Attention for Deep Convolutional Neural Networks.

Xu Ma, Jingda Guo, Andrew Sansom, Mara McGuire, Andrew Kalaani, Qi Chen, Sihai Tang, Qing Yang, Song Fu

IEEE Trans. Multim., 2021

Online Self-Evolving Anomaly Detection in Cloud Computing Environments.

Haili Wang, Jingda Guo, Xu Ma, Song Fu, Qing Yang, Yunzhong Xu

CoRR, 2021

CoConv: Learning Dynamic Cooperative Convolution for Image Recognition.

Kien X. Nguyen, Tiffany Ryu, Jocelyn Zhang, Xu Ma, Qing Yang, Song Fu, Paparao Palacharla, Nannan Wang, Xi Wang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Learning Connected Attentions for Convolutional Neural Networks.

Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu, Paparao Palacharla, Nannan Wang, Xi Wang

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

APCNN: Explore Multi-Layer Cooperation for CNN Optimization and Acceleration on FPGA.

Beilei Jiang, Xianwei Cheng, Sihai Tang, Xu Ma, Zhaochen Gu, Hui Zhao, Song Fu

Proceedings of the FPGA '21: The 2021 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, Virtual Event, USA, February 28, 2021

2020

Robust discriminant feature selection via joint L2, 1-norm distance minimization and maximization.

Zhangjing Yang, Qiaolin Ye, Qiao Chen, Xu Ma, Liyong Fu, Guowei Yang, He Yan, Fan Liu

Knowl. Based Syst., 2020

DCANet: Learning Connected Attentions for Convolutional Neural Networks.

Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu

CoRR, 2020

Position-Aware Recalibration Module: Learning From Feature Semantics and Feature Position.

Xu Ma, Song Fu

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Attention Meets Normalization and Beyond.

Xu Ma, Jingda Guo, Qi Chen, Sihai Tang, Qing Yang, Song Fu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Spanet: Spatial Pyramid Attention Network for Enhanced Image Recognition.

Jingda Guo, Xu Ma, Andrew Sansom, Mara McGuire, Andrew Kalaani, Qi Chen, Sihai Tang, Qing Yang, Song Fu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Cascaded Context Dependency: An Extremely Lightweight Module For Deep Convolutional Neural Networks.

Xu Ma, Zhinan Qiao, Jingda Guo, Sihai Tang, Qi Chen, Qing Yang, Song Fu

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

F-cooper: feature based cooperative perception for autonomous vehicle edge computing system using 3D point clouds.

Qi Chen, Xu Ma, Sihai Tang, Jingda Guo, Qing Yang, Song Fu

Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2017

L2P-Norm Distance Twin Support Vector Machine.

Xu Ma, Qiaolin Ye, He Yan

IEEE Access, 2017

P-Order L2-Norm Distance Twin Support Vector Machine.

Xu Ma, Ying'an Liu, Qiaolin Ye

Proceedings of the 4th IAPR Asian Conference on Pattern Recognition, 2017