Haibo Wang

According to our database, Haibo Wang authored at least 9 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MDND: Unsupervised Learning Guided by Non-Differentiable Refinement for Shape Correspondence.

Qinsong Li, Jing Meng, Haibo Wang, Shengjun Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Deep Frequency Awareness Functional Maps for Robust Shape Matching.

Feifan Luo, Qinsong Li, Ling Hu, Haibo Wang, Haojun Xu, Xinru Liu, Shengjun Liu, Hongyang Chen

IEEE Trans. Vis. Comput. Graph., October, 2025

TriAlign: revisiting deep functional map from map representation alignment perspectives.

Haibo Wang, Qinsong Li, Ling Hu, Haojun Xu, Jing Meng, Xinru Liu, Yu-Kun Lai, Shengjun Liu

Vis. Comput., July, 2025

Spectral Descriptors for 3D Deformable Shape Matching: A Comparative Survey.

Shengjun Liu, Haibo Wang, Dong-Ming Yan, Qinsong Li, Feifan Luo, Zi Teng, Xinru Liu

IEEE Trans. Vis. Comput. Graph., March, 2025

SEDFMNet: A Simple and Efficient Unsupervised Functional Map for Shape Correspondence Based on Deconstruction.

Haojun Xu, Qinsong Li, Ling Hu, Shengjun Liu, Haibo Wang, Xinru Liu

Graph. Model., 2025

Functional map-based reflection intrinsic symmetry detection and symmetrization for 2D deformable shapes.

Shengjun Liu, Zi Teng, Haibo Wang, Xinru Liu

Comput. Aided Des., 2025

2024

Multiscale Spectral Manifold Wavelet Regularizer for Unsupervised Deep Functional Maps.

Shengjun Liu, Jing Meng, Ling Hu, Yueyu Guo, Xinru Liu, Xiaoxia Yang, Haibo Wang, Qinsong Li

Comput. Graph. Forum, October, 2024

Deep MSFOP: Multiple Spectral filter Operators Preservation in Deep Functional Maps for Unsupervised Shape Matching.

Feifan Luo, Qingsong Li, Ling Hu, Xinru Liu, Haojun Xu, Haibo Wang, Ting Li, Shengjun Liu

CoRR, 2024

2022

Incremental functional maps for accurate and smooth shape correspondence.

Shengjun Liu, Haibo Wang, Ling Hu, Qinsong Li, Xinru Liu

Vis. Comput., 2022