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Richard Irampaye
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2020 – today
- 2026
[j8]Yan Zhou, Xu Tang
, Jianxun Li
, Dongli Wang, Haibin Zhou, Yichao Fan
, Richard Irampaye:
MuMANet: Multi-scale mixed-axis attention network for LiDAR point cloud semantic segmentation. Digit. Signal Process. 168: 105676 (2026)
[j7]Dongli Wang, Yongcan Weng, Xiaolin Zhu, Yan Zhou, Zixin Zhang, Richard Irampaye:
Enhanced skeleton-based Group Activity Recognition through spatio-temporal graph convolution with cross-dimensional attention. Image Vis. Comput. 165: 105784 (2026)
[j6]Quan Cui, Yan Zhou
, Gaodian Zhou
, Jianxun Li
, Xiaolin Zhu, Richard Irampaye:
Multidirectional Rotation-Aware Network for Oriented Ship Detection From Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 19: 190-208 (2026)- 2025
[j5]Yan Zhou, Yichao Fan, Haibin Zhou, Richard Irampaye:
MSCSeg: Multi-scale contextual network for LiDAR point cloud semantic segmentation. Signal Image Video Process. 19(13): 1074 (2025)
[j4]Yan Zhou, Haibin Zhou, Yin Yang, Jianxun Li, Richard Irampaye, Dongli Wang, Zhengpeng Zhang:
Lunet: an enhanced upsampling fusion network with efficient self-attention for semantic segmentation. Vis. Comput. 41(5): 3109-3128 (2025)
[i1]Qianguang Zhao, Dongli Wang, Yan Zhou, Jianxun Li, Richard Irampaye:
Few to Big: Prototype Expansion Network via Diffusion Learner for Point Cloud Few-shot Semantic Segmentation. CoRR abs/2509.12878 (2025)- 2023
[j3]Yan Zhou
, Xihong Zheng, Yin Yang, Jianxun Li, Jinzhen Mu
, Richard Irampaye:
Multi-directional feature refinement network for real-time semantic segmentation in urban street scenes. IET Comput. Vis. 17(4): 431-444 (2023)- 2022
[j2]Yan Zhou
, Sijie Wen, Dongli Wang, Jiangnan Meng, Jinzhen Mu, Richard Irampaye:
MobileYOLO: Real-Time Object Detection Algorithm in Autonomous Driving Scenarios. Sensors 22(9): 3349 (2022)
[j1]Dongli Wang, Shengliang Xiang, Yan Zhou
, Jinzhen Mu, Haibin Zhou, Richard Irampaye:
Multiple-Attention Mechanism Network for Semantic Segmentation. Sensors 22(12): 4477 (2022)
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last updated on 2026-01-10 02:06 CET by the dblp team
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