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Zheng-Ning Liu
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2020 – today
- 2024
- [j10]Xiang-Li Li, Zheng-Ning Liu, Tuo Chen, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
Mesh Neural Networks Based on Dual Graph Pyramids. IEEE Trans. Vis. Comput. Graph. 30(7): 4211-4224 (2024) - 2023
- [j9]Hao-Yang Peng, Meng-Hao Guo, Zheng-Ning Liu, Yong-Liang Yang, Tai-Jiang Mu:
MWFormer: Mesh Understanding with Window-based Transformer. Comput. Graph. 115: 382-391 (2023) - [j8]Guo-Wei Yang, Zheng-Ning Liu, Dong-Yang Li, Hao-Yang Peng:
JNeRF: An efficient heterogeneous NeRF model zoo based on Jittor. Comput. Vis. Media 9(2): 401-404 (2023) - [j7]Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu:
Visual attention network. Comput. Vis. Media 9(4): 733-752 (2023) - [j6]Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Shi-Min Hu:
Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5436-5447 (2023) - 2022
- [j5]Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu:
Attention mechanisms in computer vision: A survey. Comput. Vis. Media 8(3): 331-368 (2022) - [j4]Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Junxiong Cai, Jiahui Huang, Tai-Jiang Mu, Ralph R. Martin:
Subdivision-based Mesh Convolution Networks. ACM Trans. Graph. 41(3): 25:1-25:16 (2022) - [c2]Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu:
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. NeurIPS 2022 - [i8]Meng-Hao Guo, Chengze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shimin Hu:
Visual Attention Network. CoRR abs/2202.09741 (2022) - [i7]Meng-Hao Guo, Chengze Lu, Qibin Hou, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu:
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. CoRR abs/2209.08575 (2022) - 2021
- [j3]Meng-Hao Guo, Junxiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
PCT: Point cloud transformer. Comput. Vis. Media 7(2): 187-199 (2021) - [j2]Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R. Martin, Shi-Min Hu:
Can attention enable MLPs to catch up with CNNs? Comput. Vis. Media 7(3): 283-288 (2021) - [j1]Zheng-Ning Liu, Yan-Pei Cao, Zheng-Fei Kuang, Leif Kobbelt, Shi-Min Hu:
High-Quality Textured 3D Shape Reconstruction with Cascaded Fully Convolutional Networks. IEEE Trans. Vis. Comput. Graph. 27(1): 83-97 (2021) - [i6]Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Shi-Min Hu:
Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks. CoRR abs/2105.02358 (2021) - [i5]Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R. Martin, Shi-Min Hu:
Can Attention Enable MLPs To Catch Up With CNNs? CoRR abs/2105.15078 (2021) - [i4]Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Junxiong Cai, Jiahui Huang, Tai-Jiang Mu, Ralph R. Martin:
Subdivision-Based Mesh Convolution Networks. CoRR abs/2106.02285 (2021) - [i3]Meng-Hao Guo, Tian-Xing Xu, Jiang-Jiang Liu, Zheng-Ning Liu, Peng-Tao Jiang, Tai-Jiang Mu, Song-Hai Zhang, Ralph R. Martin, Ming-Ming Cheng, Shi-Min Hu:
Attention Mechanisms in Computer Vision: A Survey. CoRR abs/2111.07624 (2021) - 2020
- [i2]Yu He, Yun Cai, Yuan-Chen Guo, Zheng-Ning Liu, Shao-Kui Zhang, Song-Hai Zhang, Hongbo Fu, Sheng-Yong Chen:
Style-compatible Object Recommendation for Multi-room Indoor Scene Synthesis. CoRR abs/2003.04187 (2020) - [i1]Meng-Hao Guo, Junxiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
PCT: Point Cloud Transformer. CoRR abs/2012.09688 (2020)
2010 – 2019
- 2018
- [c1]Yan-Pei Cao, Zheng-Ning Liu, Zheng-Fei Kuang, Leif Kobbelt, Shi-Min Hu:
Learning to Reconstruct High-Quality 3D Shapes with Cascaded Fully Convolutional Networks. ECCV (9) 2018: 626-643
Coauthor Index
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last updated on 2024-10-01 20:43 CEST by the dblp team
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