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

  1. Adaptive Parameter Selection for Tuning Vision-Language Models. CVPR 2025
    Yi Zhang, Yi-Xuan Deng, Meng-Hao Guo, Shi-Min Hu
    [PDF]

  2. 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]

  3. Exploring regional clues in CLIP for zero-shot semantic segmentation. CVPR 2024
    Yi Zhang, Meng-Hao Guo, Miao Wang, Shi-Min Hu
    [PDF]

  4. 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]

  5. 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]

  6. Is Attention Better Than Matrix Decomposition? ICLR 2021
    Zhengyang Geng*, Meng-Hao Guo*, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin.
    [PDF][CODE]

  7. 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

  1. 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]

  2. Visual attention network. CVMJ 2023 Best Paper
    Meng-Hao Guo, Cheng-Ze Lu, Zheng-Ning Liu, Ming-Ming Cheng, Shi-Min Hu.
    [PDF][CODE]

  3. 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]

  4. 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]

  5. 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]

  6. 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]

  7. 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]

  8. 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]