Meng-Hao Guo (Ph.D student at Tsinghua University)
Publications
* indicates equal contributions. For details, please refer to google scholar.
Preprints
Agentic Keyframe Search for Video Question Answering
Sunqi Fan, Meng-Hao Guo, Shuojin Yang
[PDF]
One Model to Rig Them All: Diverse Skeleton Rigging with Unirig.
Jia-Peng Zhang, Cheng-Feng Pu, Meng-Hao Guo, Yan-Pei Cao, Shi-Min Hu
[Project Page]
Conference Papers
Adaptive Parameter Selection for Tuning Vision-Language Models. CVPR 2025
Yi Zhang, Yi-Xuan Deng, Meng-Hao Guo, Shi-Min Hu
[PDF]
CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization. SIGGRAPH 2024 (ACM TOG)
Hao-Yang Peng, Jia-Peng Zhang, Meng-Hao Guo, Yan-Pei Cao, Shi-Min Hu
[PDF]
Exploring regional clues in CLIP for zero-shot semantic segmentation. CVPR 2024
Yi Zhang, Meng-Hao Guo, Miao Wang, Shi-Min Hu
[PDF]
Long Range Pooling for 3D Large-Scale Scene Understanding. CVPR 2023
Xiang-Li Li, Meng-Hao Guo, Tai-Jiang Mu, Ralph R Martin, Shi-Min Hu
[PDF]
SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. NeurIPS 2022
Meng-Hao Guo, Cheng-Ze Lu, Qibin Hou, Zhengning Liu, Ming-Ming Cheng, Shi-Min Hu
[PDF][CODE]
Is Attention Better Than Matrix Decomposition? ICLR 2021
Zhengyang Geng*, Meng-Hao Guo*, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin.
[PDF][CODE]
Semi-supervised brain lesion segmentation with an adapted mean teacher model. IPMI 2019
Wenhui Cui, Yanlin Liu, Yuxing Li, Menghao Guo, Yiming Li, Xiuli Li, Tianle Wang, Xiangzhu Zeng, Chuyang Ye
[PDF]
Journal Papers
Tuning Vision-Language Models With Multiple Prototypes Clustering. T-PAMI 2024
Meng-Hao Guo, Yi Zhang, Tai-Jiang Mu, Sharon X Huang, Shi-Min Hu.
[PDF]
Visual attention network. CVMJ 2023 Best Paper
Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu.
[PDF][CODE]
Beyond self-attention: External attention using two linear layers for visual tasks. T-PAMI
Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Shi-Min Hu
[PDF][CODE]
MWFormer: Mesh Understanding with window-based transformer. T-PAMI
Hao-Yang Peng, Meng-Hao Guo, Zheng-Ning Liu, Yong-Liang Yang, Tai-Jiang Mu
[PDF]
Attention mechanisms in computer vision: A survey. CVMJ 2022 Best Paper
Meng-Hao Guob>, 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
[PDF]
Subdivision-Based Mesh Convolution Networks. ACM TOG 2022
Shi-Min Hu, Zheng-Ning Liu, Meng-Hao Guo, Jun-Xiong Cai, Jiahui Huang, Tai-Jiang Mu, Ralph R Martin
[PDF][CODE]
Pct: Point cloud transformer. CVMJ 2021
Meng-Hao Guo, Jun-Xiong Cai, Zheng-Ning Liu, Tai-Jiang Mu, Ralph R Martin, Shi-Min Hu
[PDF][CODE]
Can Attention Enable MLPs To Catch Up With CNNs? CVMJ 2021
Meng-Hao Guo, Zheng-Ning Liu, Tai-Jiang Mu, Dun Liang, Ralph R Martin, Shi-Min Hu.
[PDF]
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