Jie Yang

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Shape Retrieval

Top Venues

IEEE Trans. Vis. Comput. Graph.

ACM Trans. Graph.

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Tong Wu, Yu-Jie Yuan, Ling-Xiao Zhang, Jie Yang, Yan-Pei Cao, Ling-Qi Yan, Lin Gao
Recent Advances in 3D Gaussian Splatting. CoRR (2024)
Rao Fu, Yunchi Zhang, Jie Yang, Jiawei Sun, Fang-Lue Zhang, Yu-Kun Lai, Lin Gao
ROSA-Net: Rotation-Robust Structure-Aware Network for Fine-Grained 3D Shape Retrieval. CVM (1) (2024)
Jia-Mu Sun, Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
Haisor: Human-aware Indoor Scene Optimization via Deep Reinforcement Learning. ACM Trans. Graph. 43 (2) (2024)
Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao
NeUDF: Learning Neural Unsigned Distance Fields With Volume Rendering. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao
NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering. CoRR (2023)
Lan Chen, Jie Yang, Hongbo Fu, Xiaoxu Meng, Weikai Chen, Bo Yang, Lin Gao
ImplicitPCA: Implicitly-proxied parametric encoding for collision-aware garment reconstruction. Graph. Model. 129 (2023)
Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
DSG-Net: Learning Disentangled Structure and Geometry for 3D Shape Generation. ACM Trans. Graph. 42 (1) (2023)
Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation with Fine-Grained Geometry. CoRR (2023)
Jie Yang, Lin Gao, Qingyang Tan, Yihua Huang, Shihong Xia, Yu-Kun Lai
Multiscale Mesh Deformation Component Analysis With Attention-Based Autoencoders. IEEE Trans. Vis. Comput. Graph. 29 (2) (2023)
Chenbo Jiang, Jie Yang, Shwai He, Yu-Kun Lai, Lin Gao
NeuralSlice: Neural 3D Triangle Mesh Reconstruction via Slicing 4D Tetrahedral Meshes. ICML (2023)
Yu-Tao Liu, Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Lin Gao
NeUDF: Leaning Neural Unsigned Distance Fields with Volume Rendering. CVPR (2023)
Lan Chen, Lin Gao, Jie Yang, Shibiao Xu, Juntao Ye, Xiaopeng Zhang, Yu-Kun Lai
Deep Deformation Detail Synthesis for Thin Shell Models. Comput. Graph. Forum 42 (5) (2023)
Aihua Mao, Canglan Dai, Qing Liu, Jie Yang, Lin Gao, Ying He, Yong-Jin Liu
STD-Net: Structure-Preserving and Topology-Adaptive Deformation Network for Single-View 3D Reconstruction. IEEE Trans. Vis. Comput. Graph. 29 (3) (2023)
Lin Gao, Jia-Mu Sun, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Jie Yang
SceneHGN: Hierarchical Graph Networks for 3D Indoor Scene Generation With Fine-Grained Geometry. IEEE Trans. Pattern Anal. Mach. Intell. 45 (7) (2023)
Li Wang, Jie Yang, Weikai Chen, Xiaoxu Meng, Bo Yang, Jintao Li, Lin Gao
HSDF: Hybrid Sign and Distance Field for Modeling Surfaces with Arbitrary Topologies. NeurIPS (2022)
Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen
Learning on 3D Meshes With Laplacian Encoding and Pooling. IEEE Trans. Vis. Comput. Graph. 28 (2) (2022)
Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Shihong Xia, Leif Kobbelt
Sparse Data Driven Mesh Deformation. IEEE Trans. Vis. Comput. Graph. 27 (3) (2021)
Jia-Heng Tang, Weikai Chen, Jie Yang, Bo Wang, Songrun Liu, Bo Yang, Lin Gao
OctField: Hierarchical Implicit Functions for 3D Modeling. NeurIPS (2021)
Ming-Xian Lin, Jie Yang, He Wang, Yu-Kun Lai, Rongfei Jia, Binqiang Zhao, Lin Gao
Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning. ICCV (2021)
Jie Yang, Kaichun Mo, Yu-Kun Lai, Leonidas J. Guibas, Lin Gao
DSM-Net: Disentangled Structured Mesh Net for Controllable Generation of Fine Geometry. CoRR (2020)
Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Qi Duan, Hongbo Fu, Lin Gao
Mesh Variational Autoencoders with Edge Contraction Pooling. CVPR Workshops (2020)
Rao Fu, Jie Yang, Jiawei Sun, Fang-Lue Zhang, Yu-Kun Lai, Lin Gao
RISA-Net: Rotation-Invariant Structure-Aware Network for Fine-Grained 3D Shape Retrieval. CoRR (2020)
Jie Yang, Lin Gao, Qingyang Tan, Yihua Huang, Shihong Xia, Yu-Kun Lai
Multiscale Mesh Deformation Component Analysis with Attention-based Autoencoders. CoRR (2020)
Yi-Ling Qiao, Lin Gao, Jie Yang, Paul L. Rosin, Yu-Kun Lai, Xilin Chen
LaplacianNet: Learning on 3D Meshes with Laplacian Encoding and Pooling. CoRR (2019)
Yu-Jie Yuan, Yu-Kun Lai, Jie Yang, Hongbo Fu, Lin Gao
Mesh Variational Autoencoders with Edge Contraction Pooling. CoRR (2019)
Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang
SDM-NET: deep generative network for structured deformable mesh. ACM Trans. Graph. 38 (6) (2019)
Lin Gao, Jie Yang, Tong Wu, Yu-Jie Yuan, Hongbo Fu, Yu-Kun Lai, Hao Zhang
SDM-NET: Deep Generative Network for Structured Deformable Mesh. CoRR (2019)
Lin Gao, Jie Yang, Yi-Ling Qiao, Yu-Kun Lai, Paul L. Rosin, Weiwei Xu, Shihong Xia
Automatic unpaired shape deformation transfer. ACM Trans. Graph. 37 (6) (2018)
Jie Yang, Lin Gao, Yu-Kun Lai, Paul L. Rosin, Shihong Xia
Biharmonic deformation transfer with automatic key point selection. Graph. Model. 98 (2018)
Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia
Mesh-Based Autoencoders for Localized Deformation Component Analysis. AAAI (2018)
Lin Gao, Yu-Kun Lai, Jie Yang, Ling-Xiao Zhang, Leif Kobbelt, Shihong Xia
Sparse Data Driven Mesh Deformation. CoRR (2017)
Qingyang Tan, Lin Gao, Yu-Kun Lai, Jie Yang, Shihong Xia
Mesh-based Autoencoders for Localized Deformation Component Analysis. CoRR (2017)