Learning to Reconstruct High-Quality 3D Shapes with Cascaded Fully Convolutional Networks. - Yan-Pei Cao; Zheng-Ning Liu; Zheng-Fei Kuang; Leif Kobbelt; Shi-Min Hu 001 (ECCV (9), 2018)

Style-compatible Object Recommendation for Multi-room Indoor Scene Synthesis. - Yu He; Yun Cai; Yuan-Chen Guo; Zheng-Ning Liu; Shao-Kui Zhang; Song-Hai Zhang; Hongbo Fu 001; Sheng-Yong Chen (CoRR, 2020)

PCT: Point cloud transformer. - Meng-Hao Guo; Junxiong Cai; Zheng-Ning Liu; Tai-Jiang Mu; Ralph R. Martin; Shi-Min Hu 001 (Comput. Vis. Media, 2021)

Can attention enable MLPs to catch up with CNNs? - Meng-Hao Guo; Zheng-Ning Liu; Tai-Jiang Mu; Dun Liang; Ralph R. Martin; Shi-Min Hu 001 (Comput. Vis. Media, 2021)

High-Quality Textured 3D Shape Reconstruction with Cascaded Fully Convolutional Networks. - Zheng-Ning Liu; Yan-Pei Cao; Zheng-Fei Kuang; Leif Kobbelt; Shi-Min Hu 001 (IEEE Trans. Vis. Comput. Graph., 2021)

SegNeXt: Rethinking Convolutional Attention Design for Semantic Segmentation. - Meng-Hao Guo; Cheng-Ze Lu; Qibin Hou; Zhengning Liu; Ming-Ming Cheng; Shi-Min Hu 001 (NeurIPS, 2022)

Attention mechanisms in computer vision: A survey. - Meng-Hao Guo; Tian-Xing Xu; Jiang-Jiang Liu 001; Zheng-Ning Liu; Peng-Tao Jiang; Tai-Jiang Mu; Song-Hai Zhang; Ralph R. Martin; Ming-Ming Cheng; Shi-Min Hu 001 (Comput. Vis. Media, 2022)

Subdivision-based Mesh Convolution Networks. - Shi-Min Hu 001; Zheng-Ning Liu; Meng-Hao Guo; Junxiong Cai; Jiahui Huang; Tai-Jiang Mu; Ralph R. Martin (ACM Trans. Graph., 2022)

JNeRF: An efficient heterogeneous NeRF model zoo based on Jittor. - Guo-Wei Yang; Zheng-Ning Liu; Dong-Yang Li; Hao-Yang Peng (Comput. Vis. Media, 2023)

Beyond Self-Attention: External Attention Using Two Linear Layers for Visual Tasks. - Meng-Hao Guo; Zheng-Ning Liu; Tai-Jiang Mu; Shi-Min Hu 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MWFormer: Mesh Understanding with Window-based Transformer. - Hao-Yang Peng; Meng-Hao Guo; Zheng-Ning Liu; Yong-Liang Yang 002; Tai-Jiang Mu (Comput. Graph., 2023)

Visual attention network. - Meng-Hao Guo; Cheng-Ze Lu; Zheng-Ning Liu; Ming-Ming Cheng; Shi-Min Hu 001 (Comput. Vis. Media, 2023)

OpBench: an operator-level GPU benchmark for deep learning. - Qingwen Gu; Bo Fan; Zhengning Liu; Kaicheng Cao; Songhai Zhang; Shi-Min Hu 001 (Sci. China Inf. Sci., 2024)

Mesh Neural Networks Based on Dual Graph Pyramids. - Xiang-Li Li; Zheng-Ning Liu; Tuo Chen; Tai-Jiang Mu; Ralph R. Martin; Shi-Min Hu 001 (IEEE Trans. Vis. Comput. Graph., 2024)