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2020 – today
- 2024
[j38]Chuan Jin
, Tieru Wu, Yu-Shen Liu, Junsheng Zhou:
MuSic-UDF: Learning Multi-Scale dynamic grid representation for high-fidelity surface reconstruction from point clouds. Comput. Graph. 124: 104081 (2024)- [j37]Yifan Feng, Shuyi Ji, Yu-Shen Liu, Shaoyi Du, Qionghai Dai, Yue Gao:
Hypergraph-Based Multi-Modal Representation for Open-Set 3D Object Retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 46(4): 2206-2223 (2024) - [c55]Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu:
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views. AAAI 2024: 2312-2320 - [c54]Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu:
GridFormer: Point-Grid Transformer for Surface Reconstruction. AAAI 2024: 3163-3171 - [c53]Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. AAAI 2024: 3181-3189 - [c52]Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han:
UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. CVPR 2024: 21496-21506 - [c51]Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu:
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds. ECCV (6) 2024: 234-251 - [c50]Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang:
Uni3D: Exploring Unified 3D Representation at Scale. ICLR 2024 - [c49]Junsheng Zhou, Xin Wen, Baorui Ma, Yu-Shen Liu, Yue Gao, Yi Fang, Zhizhong Han:
3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. ICRA 2024: 15416-15423 - [i62]Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu:
GridFormer: Point-Grid Transformer for Surface Reconstruction. CoRR abs/2401.02292 (2024) - [i61]Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han:
UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. CoRR abs/2404.06851 (2024) - [i60]Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu:
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds. CoRR abs/2407.13342 (2024) - [i59]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Fast Learning of Signed Distance Functions from Noisy Point Clouds via Noise to Noise Mapping. CoRR abs/2407.14225 (2024) - [i58]Wenyuan Zhang, Kanle Shi, Yu-Shen Liu, Zhizhong Han:
Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. CoRR abs/2407.16396 (2024) - [i57]Chao Chen, Zhizhong Han, Yu-Shen Liu:
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes. CoRR abs/2408.14279 (2024) - [i56]Congcong Wen, Yifan Liu, Geeta Chandra Raju Bethala, Zheng Peng, Hui Lin, Yu-Shen Liu, Yi Fang:
Enhancing Socially-Aware Robot Navigation through Bidirectional Natural Language Conversation. CoRR abs/2409.04965 (2024) - 2023
- [j36]Han Liu, Xiaoyu Song, Ge Gao, Hehua Zhang, Yu-Shen Liu, Ming Gu:
Modeling and validating temporal rules with semantic Petri net for digital twins. Adv. Eng. Informatics 57: 102099 (2023) - [j35]Han Liu, Ge Gao, Hehua Zhang, Yu-Shen Liu, Yan Song, Ming Gu:
MVDLite: A fast validation algorithm for Model View Definition rules. Adv. Eng. Informatics 58: 102132 (2023) - [j34]Xinhai Liu, Zhizhong Han, Sanghuk Lee, Yan-Pei Cao, Yu-Shen Liu:
D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion. Comput. Aided Geom. Des. 104: 102206 (2023) - [j33]Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 852-867 (2023) - [j32]Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 6320-6338 (2023) - [j31]Wenyuan Zhang, Ruofan Xing, Yunfan Zeng, Yu-Shen Liu, Kanle Shi, Zhizhong Han:
Fast Learning Radiance Fields by Shooting Much Fewer Rays. IEEE Trans. Image Process. 32: 2703-2718 (2023) - [c48]Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-Shen Liu, Xiongwu Xiao, Bisheng Yang:
KT-Net: Knowledge Transfer for Unpaired 3D Shape Completion. AAAI 2023: 286-294 - [c47]Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
NeAF: Learning Neural Angle Fields for Point Normal Estimation. AAAI 2023: 1396-1404 - [c46]Haiping Wang, Yuan Liu, Zhen Dong, Yulan Guo, Yu-Shen Liu, Wenping Wang, Bisheng Yang:
Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting. CVPR 2023: 9506-9515 - [c45]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. CVPR 2023: 13591-13600 - [c44]Chao Chen, Yu-Shen Liu, Zhizhong Han:
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors. CVPR 2023: 17712-17723 - [c43]Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han:
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. CVPR 2023: 17724-17734 - [c42]Meng Wang, Yu-Shen Liu, Yue Gao, Kanle Shi, Yi Fang, Zhizhong Han:
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes. CVPR 2023: 21856-21865 - [c41]Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han:
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. ICCV 2023: 3158-3169 - [c40]Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han:
Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. ICCV 2023: 17780-17792 - [c39]Chao Chen, Yu-Shen Liu, Zhizhong Han:
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. ICCV 2023: 18276-18288 - [c38]Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. ICML 2023: 23338-23357 - [c37]Congcong Wen, Hao Huang, Yu-Shen Liu, Yi Fang:
Pyramid Learnable Tokens for 3D LiDAR Place Recognition. ICRA 2023: 4143-4149 - [c36]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. NeurIPS 2023 - [c35]Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. NeurIPS 2023 - [c34]Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. SIGGRAPH Asia 2023: 122:1-122:9 - [i55]Chao Chen, Yu-Shen Liu, Zhizhong Han:
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors. CoRR abs/2303.14505 (2023) - [i54]Haiping Wang, Yuan Liu, Zhen Dong, Yulan Guo, Yu-Shen Liu, Wenping Wang, Bisheng Yang:
Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting. CoRR abs/2304.00467 (2023) - [i53]Xinhai Liu, Zhizhong Han, Sanghuk Lee, Yan-Pei Cao, Yu-Shen Liu:
D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature Fusion. CoRR abs/2305.05842 (2023) - [i52]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. CoRR abs/2305.05873 (2023) - [i51]Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han:
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. CoRR abs/2305.11601 (2023) - [i50]Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. CoRR abs/2306.01405 (2023) - [i49]Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han:
Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. CoRR abs/2308.09314 (2023) - [i48]Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han:
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. CoRR abs/2308.11441 (2023) - [i47]Chao Chen, Yu-Shen Liu, Zhizhong Han:
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. CoRR abs/2308.13175 (2023) - [i46]Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. CoRR abs/2309.09211 (2023) - [i45]Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang:
Uni3D: Exploring Unified 3D Representation at Scale. CoRR abs/2310.06773 (2023) - [i44]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. CoRR abs/2311.00389 (2023) - [i43]Baorui Ma, Haoge Deng, Junsheng Zhou, Yu-Shen Liu, Tiejun Huang, Xinlong Wang:
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation. CoRR abs/2311.17971 (2023) - [i42]Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. CoRR abs/2312.04060 (2023) - [i41]Han Huang, Yulun Wu, Junsheng Zhou, Ge Gao, Ming Gu, Yu-Shen Liu:
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views. CoRR abs/2312.13977 (2023) - [i40]Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. CoRR abs/2312.15133 (2023) - 2022
- [j30]Xinhai Liu, Xinchen Liu, Yu-Shen Liu, Zhizhong Han:
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization. IEEE Trans. Image Process. 31: 4213-4226 (2022) - [c33]Xin Wen, Junsheng Zhou, Yu-Shen Liu, Hua Su, Zhen Dong, Zhizhong Han:
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. CVPR 2022: 3793-3803 - [c32]Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. CVPR 2022: 6305-6315 - [c31]Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CVPR 2022: 6316-6327 - [c30]Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han:
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. CVPR 2022: 12830-12840 - [c29]Chao Chen, Yu-Shen Liu, Zhizhong Han:
Latent Partition Implicit with Surface Codes for 3D Representation. ECCV (3) 2022: 322-343 - [c28]Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han:
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces. NeurIPS 2022 - [c27]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han:
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. NeurIPS 2022 - [i39]Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
Snowflake Point Deconvolution for Point Cloud Completion and Generation with Skip-Transformer. CoRR abs/2202.09367 (2022) - [i38]Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-step Point Moving Paths. CoRR abs/2202.09507 (2022) - [i37]Han Liu, Xiaoyu Song, Ge Gao, Hehua Zhang, Yu-Shen Liu, Ming Gu:
Modeling and Validating Temporal Rules with Semantic Petri-Net for Digital Twins. CoRR abs/2203.04741 (2022) - [i36]Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han:
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. CoRR abs/2203.14048 (2022) - [i35]Junsheng Zhou, Xin Wen, Yu-Shen Liu, Yi Fang, Zhizhong Han:
Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder. CoRR abs/2203.14084 (2022) - [i34]Xin Wen, Junsheng Zhou, Yu-Shen Liu, Zhen Dong, Zhizhong Han:
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. CoRR abs/2203.15190 (2022) - [i33]Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. CoRR abs/2204.10603 (2022) - [i32]Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CoRR abs/2204.11015 (2022) - [i31]Chao Chen, Yu-Shen Liu, Zhizhong Han:
Latent Partition Implicit with Surface Codes for 3D Representation. CoRR abs/2207.08631 (2022) - [i30]Wenyuan Zhang, Ruofan Xing, Yunfan Zeng, Yu-Shen Liu, Kanle Shi, Zhizhong Han:
Fast Learning Radiance Fields by Shooting Much Fewer Rays. CoRR abs/2208.06821 (2022) - [i29]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han:
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. CoRR abs/2210.02757 (2022) - [i28]Qing Li, Yu-Shen Liu, Jin-San Cheng, Cheng Wang, Yi Fang, Zhizhong Han:
HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces. CoRR abs/2210.07158 (2022) - [i27]Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
NeAF: Learning Neural Angle Fields for Point Normal Estimation. CoRR abs/2211.16869 (2022) - 2021
- [j29]Xin Wen, Zhizhong Han, Yu-Shen Liu:
CMPD: Using Cross Memory Network With Pair Discrimination for Image-Text Retrieval. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2427-2437 (2021) - [j28]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention. IEEE Trans. Image Process. 30: 1744-1758 (2021) - [c26]Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths. CVPR 2021: 7443-7452 - [c25]Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding. CVPR 2021: 13080-13089 - [c24]Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. ICCV 2021: 5479-5489 - [c23]Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. ICCV 2021: 12446-12457 - [c22]Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface. ICML 2021: 7246-7257 - [c21]Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views. ACM Multimedia 2021: 3862-3871 - [i26]Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
Cycle4Completion: Unpaired Point Cloud Completion using Cycle Transformation with Missing Region Coding. CoRR abs/2103.07838 (2021) - [i25]Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views. CoRR abs/2108.03743 (2021) - [i24]Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. CoRR abs/2108.03746 (2021) - [i23]Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han:
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. CoRR abs/2108.04444 (2021) - [i22]Zhen Cao, Wenxiao Zhang, Xin Wen, Zhen Dong, Yu-Shen Liu, Bisheng Yang:
MFM-Net: Unpaired Shape Completion Network with Multi-stage Feature Matching. CoRR abs/2111.11976 (2021) - [i21]Liang Pan, Tong Wu, Zhongang Cai, Ziwei Liu, Xumin Yu, Yongming Rao, Jiwen Lu, Jie Zhou, Mingye Xu, Xiaoyuan Luo, Kexue Fu, Peng Gao, Manning Wang, Yali Wang, Yu Qiao, Junsheng Zhou, Xin Wen, Peng Xiang, Yu-Shen Liu, Zhizhong Han, Yuanjie Yan, Junyi An, Lifa Zhu, Changwei Lin, Dongrui Liu, Xin Li, Francisco Gómez Fernández, Qinlong Wang, Yang Yang:
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. CoRR abs/2112.12053 (2021) - 2020
- [j27]Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker:
LRC-Net: Learning discriminative features on point clouds by encoding local region contexts. Comput. Aided Geom. Des. 79: 101859 (2020) - [j26]Nanxing Li, Qian Li, Yu-Shen Liu, Wenlong Lu, Wanqi Wang:
BIMSeek++: Retrieving BIM components using similarity measurement of attributes. Comput. Ind. 116: 103186 (2020) - [j25]Zhizhong Han, Baorui Ma, Yu-Shen Liu, Matthias Zwicker:
Reconstructing 3D Shapes From Multiple Sketches Using Direct Shape Optimization. IEEE Trans. Image Process. 29: 8721-8734 (2020) - [j24]Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu:
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds Using Spatial-Aware Capsules. IEEE Trans. Image Process. 29: 8855-8869 (2020) - [c20]Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu:
Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. CVPR 2020: 1936-1945 - [c19]Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker:
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments from 2D Coordinates. ECCV (24) 2020: 607-625 - [c18]Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. ICML 2020: 3994-4005 - [c17]Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences. ACM Multimedia 2020: 1018-1027 - [c16]Xin Wen, Zhizhong Han, Geunhyuk Youk, Yu-Shen Liu:
CF-SIS: Semantic-Instance Segmentation of 3D Point Clouds by Context Fusion with Self-Attention. ACM Multimedia 2020: 1661-1669 - [i20]Zhizhong Han, Guanhui Qiao, Yu-Shen Liu, Matthias Zwicker:
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments From 2D Coordinates. CoRR abs/2003.05559 (2020) - [i19]Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker:
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts. CoRR abs/2003.08240 (2020) - [i18]Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu:
Point Cloud Completion by Skip-attention Network with Hierarchical Folding. CoRR abs/2005.03871 (2020) - [i17]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. CoRR abs/2005.12541 (2020) - [i16]Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. CoRR abs/2007.06127 (2020) - [i15]Baorui Ma, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces. CoRR abs/2011.13495 (2020) - [i14]Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu:
PMP-Net: Point Cloud Completion by Learning Multi-step Point Moving Paths. CoRR abs/2012.03408 (2020) - [i13]Xinhai Liu, Xinchen Liu, Zhizhong Han, Yu-Shen Liu:
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization. CoRR abs/2012.04439 (2020)
2010 – 2019
- 2019
- [j23]Zhizhong Han, Mingyang Shang, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, C. L. Philip Chen:
SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention. IEEE Trans. Image Process. 28(2): 658-672 (2019) - [j22]Zhizhong Han, Honglei Lu, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, Junwei Han, C. L. Philip Chen:
3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation. IEEE Trans. Image Process. 28(8): 3986-3999 (2019) - [j21]Hong-Lei Lu, Jia-Xing Wu, Yu-Shen Liu, Wan-Qi Wang:
Dynamically loading IFC models on a web browser based on spatial semantic partitioning. Vis. Comput. Ind. Biomed. Art 2: 1-12 (2019) - [c15]Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. AAAI 2019: 126-133 - [c14]Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker:
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. AAAI 2019: 8376-8384 - [c13]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. AAAI 2019: 8778-8785 - [c12]Yan-Wei Chen, Li-Hsing Yen, Wei-Cheng Wang, Cheng-An Chuang, Yu-Shen Liu, Chien-Chao Tseng:
P4-Enabled Bandwidth Management. APNOMS 2019: 1-5 - [c11]Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. ICCV 2019: 10441-10450 - [c10]Xin Wen, Zhizhong Han, Xinyu Yin, Yu-Shen Liu:
Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities. ICME 2019: 478-483 - [c9]Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen:
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. IJCAI 2019: 758-765 - [c8]Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. IJCAI 2019: 766-773 - [c7]Nanxing Li, Bei Liu, Zhizhong Han, Yu-Shen Liu, Jianlong Fu:
Emotion Reinforced Visual Storytelling. ICMR 2019: 297-305 - [c6]Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker:
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. ACM Multimedia 2019: 989-997 - [c5]Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu:
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data. NeurIPS 2019: 817-827 - [i12]Xin Wen, Zhizhong Han, Xinyu Yin, Yu-Shen Liu:
Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities. CoRR abs/1904.08042 (2019) - [i11]Zhizhong Han, Xiyang Wang, Chi-Man Vong, Yu-Shen Liu, Matthias Zwicker, C. L. Philip Chen:
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. CoRR abs/1905.07503 (2019) - [i10]Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. CoRR abs/1905.07506 (2019) - [i9]Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. CoRR abs/1907.12704 (2019) - [i8]Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker:
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences. CoRR abs/1908.00120 (2019) - [i7]Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker:
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. CoRR abs/1908.00720 (2019) - [i6]Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu:
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules. CoRR abs/1908.11026 (2019) - [i5]Han Liu, Zhizhong Han, Yu-Shen Liu, Ming Gu:
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data. CoRR abs/1909.06297 (2019) - [i4]Han Liu, Ge Gao, Hehua Zhang, Yu-Shen Liu, Yan Song, Ming Gu:
MVDLite: A Light-weight Representation of Model View Definition with Fast Validation for BIM Applications. CoRR abs/1909.06997 (2019) - 2018
- [j20]Zhizhong Han, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, C. L. Philip Chen:
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax. IEEE Trans. Image Process. 27(6): 3049-3063 (2018) - [i3]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network. CoRR abs/1811.02565 (2018) - [i2]Zhizhong Han, Mingyang Shang, Yu-Shen Liu, Matthias Zwicker:
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. CoRR abs/1811.02744 (2018) - [i1]Zhizhong Han, Mingyang Shang, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker:
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. CoRR abs/1811.02745 (2018) - 2017
- [j19]Ge Gao, Yu-Shen Liu, Pengpeng Lin, Meng Wang, Ming Gu, Jun-Hai Yong:
BIMTag: Concept-based automatic semantic annotation of online BIM product resources. Adv. Eng. Informatics 31: 48-61 (2017) - [j18]Han Liu, Yu-Shen Liu, Pieter Pauwels, Hongling Guo, Ming Gu:
Enhanced Explicit Semantic Analysis for Product Model Retrieval in Construction Industry. IEEE Trans. Ind. Informatics 13(6): 3361-3369 (2017) - [j17]Zhizhong Han, Zhenbao Liu, Chi-Man Vong, Yu-Shen Liu, Shuhui Bu, Junwei Han, C. L. Philip Chen:
BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation. IEEE Trans. Image Process. 26(8): 3707-3720 (2017) - 2016
- [j16]Yu-Shen Liu, Hongchen Deng, Min Liu, Lianjie Gong:
VIV: Using visible internal volume to compute junction-aware shape descriptor of 3D articulated models. Neurocomputing 215: 32-47 (2016) - 2015
- [j15]Jinlong Feng, Yu-Shen Liu, Lianjie Gong:
Junction-aware shape descriptor for 3D articulated models using local shape-radius variation. Signal Process. 112: 4-16 (2015) - 2013
- [j14]Ya-Hong Lin, Yu-Shen Liu, Ge Gao, Xiao-Guang Han, Chengyuan Lai, Ming Gu:
The IFC-based path planning for 3D indoor spaces. Adv. Eng. Informatics 27(2): 189-205 (2013) - 2012
- [j13]Yu-Shen Liu, Meng Wang, Jean-Claude Paul, Karthik Ramani:
3DMolNavi: A web-based retrieval and navigation tool for flexible molecular shape comparison. BMC Bioinform. 13: 95 (2012) - [j12]Chao Wang, Yu-Shen Liu, Min Liu, Jun-Hai Yong, Jean-Claude Paul:
Robust shape normalization of 3D articulated volumetric models. Comput. Aided Des. 44(12): 1253-1268 (2012) - 2011
- [j11]Yu-Shen Liu, Karthik Ramani, Min Liu:
Computing the Inner Distances of Volumetric Models for Articulated Shape Description with a Visibility Graph. IEEE Trans. Pattern Anal. Mach. Intell. 33(12): 2538-2544 (2011) - 2010
- [j10]Yu-Shen Liu, Qi Li, Guo-Qin Zheng, Karthik Ramani, William Benjamin:
Using diffusion distances for flexible molecular shape comparison. BMC Bioinform. 11: 480 (2010) - [j9]Yu-Shen Liu, Jing Yi, Hu Zhang, Guo-Qin Zheng, Jean-Claude Paul:
Surface area estimation of digitized 3D objects using quasi-Monte Carlo methods. Pattern Recognit. 43(11): 3900-3909 (2010)
2000 – 2009
- 2009
- [j8]Yu-Shen Liu, Yi Fang, Karthik Ramani:
Using least median of squares for structural superposition of flexible proteins. BMC Bioinform. 10 (2009) - [j7]Yu-Shen Liu, Yi Fang, Karthik Ramani:
IDSS: deformation invariant signatures for molecular shape comparison. BMC Bioinform. 10 (2009) - [j6]Yu-Shen Liu, Karthik Ramani:
Robust principal axes determination for point-based shapes using least median of squares. Comput. Aided Des. 41(4): 293-305 (2009) - [j5]Min Liu, Yu-Shen Liu, Karthik Ramani:
Computing global visibility maps for regions on the boundaries of polyhedra using Minkowski sums. Comput. Aided Des. 41(9): 668-680 (2009) - 2008
- [j4]Ming-Cui Du, Yu-Shen Liu:
An extension on robust directed projection of points onto point clouds. Comput. Aided Des. 40(5): 537-553 (2008) - 2007
- [c4]Yu-Shen Liu, Min Liu, Daisuke Kihara, Karthik Ramani:
Salient critical points for meshes. Symposium on Solid and Physical Modeling 2007: 277-282 - [c3]Min Liu, Yu-Shen Liu, Karthik Ramani:
Anisotropic filtering on normal field and curvature tensor field using optimal estimation theory. Shape Modeling International 2007: 169-178 - 2006
- [j3]Yu-Shen Liu, Jun-Hai Yong, Hui Zhang, Dong-Ming Yan, Jia-Guang Sun:
A quasi-Monte Carlo method for computing areas of point-sampled surfaces. Comput. Aided Des. 38(1): 55-68 (2006) - [j2]Yu-Shen Liu, Jean-Claude Paul, Jun-Hai Yong, Pi-Qiang Yu, Hui Zhang, Jia-Guang Sun, Karthik Ramani:
Automatic least-squares projection of points onto point clouds with applications in reverse engineering. Comput. Aided Des. 38(12): 1251-1263 (2006) - 2005
- [j1]Yu-Shen Liu, Hui Zhang, Jun-Hai Yong, Pi-Qiang Yu, Jia-Guang Sun:
Mesh blending. Vis. Comput. 21(11): 915-927 (2005) - [c2]Yu-Shen Liu, Jun-Hai Yong, Pi-Qiang Yu, Hui Zhang, Ming-Cui Du, Jean-Claude Paul:
Mesh parameterization for an open connected surface without partition. CAD/Graphics 2005: 5 - 2004
- [c1]Yu-Shen Liu, Pi-Qiang Yu, Jun-Hai Yong, Hui Zhang, Jia-Guang Sun:
Bilateral Filter for Meshes Using New Predictor. CIS 2004: 1093-1099
Coauthor Index
[c53] [c52] [c49] [i61] [i59] [i58] [i57] [j34] [j33] [j32] [j31] [c47] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c36] [c35] [c34] [i55] [i53] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [i44] [i42] [i40] [j30] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [i39] [i38] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [j29] [j28] [c26] [c25] [c24] [c23] [c22] [c21] [i26] [i25] [i24] [i23] [i21] [j27] [j25] [j24] [c20] [c19] [c18] [c17] [c16] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j23] [j22] [c15] [c14] [c13] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [j20] [i3] [i2] [i1] [j17]
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