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Yang Liu 0014
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Publications
- 2023
- [j61]Chun-Yu Sun, Yu-Qi Yang, Hao-Xiang Guo, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum:
Semi-supervised 3D shape segmentation with multilevel consistency and part substitution. Comput. Vis. Media 9(2): 229-247 (2023) - [j60]Chun-Yu Sun, Xin Tong, Yang Liu:
Semantic segmentation-assisted instance feature fusion for multi-level 3D part instance segmentation. Comput. Vis. Media 9(4): 699-715 (2023) - [j59]Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum:
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation. ACM Trans. Graph. 42(4): 91:1-91:13 (2023) - [i21]Yu-Qi Yang, Yu-Xiao Guo, Jian-Yu Xiong, Yang Liu, Hao Pan, Peng-Shuai Wang, Xin Tong, Baining Guo:
Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding. CoRR abs/2304.06906 (2023) - [i20]Siming Yan, Yuqi Yang, Yuxiao Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Qixing Huang:
3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining. CoRR abs/2304.06911 (2023) - [i19]Xin-Yang Zheng, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum:
Locally Attentional SDF Diffusion for Controllable 3D Shape Generation. CoRR abs/2305.04461 (2023) - 2022
- [j56]Xin-Yang Zheng, Yang Liu, Peng-Shuai Wang, Xin Tong:
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation. Comput. Graph. Forum 41(5): 52-63 (2022) - [j54]Peng-Shuai Wang, Yang Liu, Xin Tong:
Dual octree graph networks for learning adaptive volumetric shape representations. ACM Trans. Graph. 41(4): 103:1-103:15 (2022) - [j53]Haoxiang Guo, Shilin Liu, Hao Pan, Yang Liu, Xin Tong, Baining Guo:
ComplexGen: CAD reconstruction by B-rep chain complex generation. ACM Trans. Graph. 41(4): 129:1-129:18 (2022) - [i17]Chun-Yu Sun, Yu-Qi Yang, Hao-Xiang Guo, Peng-Shuai Wang, Xin Tong, Yang Liu, Heung-Yeung Shum:
Semi-supervised 3D shape segmentation with multilevel consistency and part substitution. CoRR abs/2204.08824 (2022) - [i16]Peng-Shuai Wang, Yang Liu, Xin Tong:
Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations. CoRR abs/2205.02825 (2022) - [i15]Haoxiang Guo, Shilin Liu, Hao Pan, Yang Liu, Xin Tong, Baining Guo:
ComplexGen: CAD Reconstruction by B-Rep Chain Complex Generation. CoRR abs/2205.14573 (2022) - [i14]Xin-Yang Zheng, Yang Liu, Peng-Shuai Wang, Xin Tong:
SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation. CoRR abs/2206.12055 (2022) - 2021
- [c13]Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong:
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. AAAI 2021: 2773-2781 - [c12]Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu:
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction. CVPR 2021: 1788-1797 - [c10]Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong:
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. IJCAI 2021: 1091-1097 - [i12]Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu:
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction. CoRR abs/2103.12266 (2021) - [i11]Peng-Shuai Wang, Yang Liu, Yu-Qi Yang, Xin Tong:
Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields. CoRR abs/2106.01553 (2021) - 2020
- [j49]Shilin Liu, Yang Liu, L-F. Dong, Xin Tong:
RAS: A Data-Driven Rigidity-Aware Skinning Model For 3D Facial Animation. Comput. Graph. Forum 39(1): 581-594 (2020) - [c9]Peng-Shuai Wang, Yang Liu, Xin Tong:
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion. CVPR Workshops 2020: 1074-1081 - [c8]Yuqi Yang, Shilin Liu, Hao Pan, Yang Liu, Xin Tong:
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames. CVPR 2020: 13575-13584 - [i8]Peng-Shuai Wang, Yang Liu, Xin Tong:
Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion. CoRR abs/2006.03762 (2020) - [i7]Peng-Shuai Wang, Yu-Qi Yang, Qian-Fang Zou, Zhirong Wu, Yang Liu, Xin Tong:
Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination. CoRR abs/2008.01068 (2020) - 2018
- [j43]Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, Xin Tong:
Adaptive O-CNN: a patch-based deep representation of 3D shapes. ACM Trans. Graph. 37(6): 217 (2018) - [j42]Changjian Li, Hao Pan, Yang Liu, Xin Tong, Alla Sheffer, Wenping Wang:
Robust flow-guided neural prediction for sketch-based freeform surface modeling. ACM Trans. Graph. 37(6): 238 (2018) - [i6]Hao Pan, Shilin Liu, Yang Liu, Xin Tong:
Convolutional Neural Networks on 3D Surfaces Using Parallel Frames. CoRR abs/1808.04952 (2018) - [i5]Peng-Shuai Wang, Chun-Yu Sun, Yang Liu, Xin Tong:
Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes. CoRR abs/1809.07917 (2018) - 2017
- [j39]Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, Xin Tong:
O-CNN: octree-based convolutional neural networks for 3D shape analysis. ACM Trans. Graph. 36(4): 72:1-72:11 (2017) - [j38]Changjian Li, Hao Pan, Yang Liu, Xin Tong, Alla Sheffer, Wenping Wang:
BendSketch: modeling freeform surfaces through 2D sketching. ACM Trans. Graph. 36(4): 125:1-125:14 (2017) - [j37]Li-Ke Ma, Yizhonc Zhang, Yang Liu, Kun Zhou, Xin Tong:
Computational design and fabrication of soft pneumatic objects with desired deformations. ACM Trans. Graph. 36(6): 239:1-239:12 (2017) - [i4]Peng-Shuai Wang, Yang Liu, Yu-Xiao Guo, Chun-Yu Sun, Xin Tong:
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis. CoRR abs/1712.01537 (2017) - 2016
- [j32]Peng-Shuai Wang, Yang Liu, Xin Tong:
Mesh denoising via cascaded normal regression. ACM Trans. Graph. 35(6): 232:1-232:12 (2016) - 2015
- [j28]Peng-Shuai Wang, Xiao-Ming Fu, Yang Liu, Xin Tong, Shi-Lin Liu, Baining Guo:
Rolling guidance normal filter for geometric processing. ACM Trans. Graph. 34(6): 173:1-173:9 (2015) - 2013
- [c7]Yupeng Zhang, Teng Han, Zhimin Ren, Nobuyuki Umetani, Xin Tong, Yang Liu, Takaaki Shiratori, Xiang Cao:
BodyAvatar: creating freeform 3D avatars using first-person body gestures. UIST 2013: 387-396
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