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ORCIDMeng-Hao Guo
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2020 – today
- 2024
[j9]Meng-Hao Guo, Yi Zhang
, Tai-Jiang Mu, Sharon X. Huang, Shi-Min Hu:
Tuning Vision-Language Models With Multiple Prototypes Clustering. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11186-11199 (2024)- [j8]Hao-Yang Peng, Jia-Peng Zhang, Meng-Hao Guo, Yan-Pei Cao, Shi-Min Hu:
CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization. ACM Trans. Graph. 43(4): 84:1-84:13 (2024) - [c4]Yi Zhang, Meng-Hao Guo, Miao Wang, Shi-Min Hu:
Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation. CVPR 2024: 3270-3280 - [i10]Hao-Yang Peng, Jia-Peng Zhang, Meng-Hao Guo, Yan-Pei Cao, Shi-Min Hu:
CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization. CoRR abs/2402.17214 (2024) - 2023
- [j7]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) - [j6]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) - [j5]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) - [c3]Xiang-Li Li, Meng-Hao Guo, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
Long Range Pooling for 3D Large-Scale Scene Understanding. CVPR 2023: 10300-10311 - [i9]Xiang-Li Li, Meng-Hao Guo, Tai-Jiang Mu, Ralph R. Martin, Shi-Min Hu:
Long Range Pooling for 3D Large-Scale Scene Understanding. CoRR abs/2301.06962 (2023) - 2022
- [j4]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) - [j3]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
- [j2]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) - [j1]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) - [c1]Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin:
Is Attention Better Than Matrix Decomposition? ICLR 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]Zhengyang Geng, Meng-Hao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin:
Is Attention Better Than Matrix Decomposition? CoRR abs/2109.04553 (2021) - [i2]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
- [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)
Coauthor Index
aka: Zhengning Liu
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