Yu-Shen Liu

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 131

Top Venues

CoRR

CVPR

IEEE Trans. Image Process.

AAAI

Publications

Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang
Uni3D: Exploring Unified 3D Representation at Scale. ICLR (2024)
Shengtao Li, Ge Gao, Yudong Liu, Ming Gu, Yu-Shen Liu
Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds. CoRR (2024)
Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu
GridFormer: Point-Grid Transformer for Surface Reconstruction. CoRR (2024)
Shengtao Li, Ge Gao, Yudong Liu, Yu-Shen Liu, Ming Gu
GridFormer: Point-Grid Transformer for Surface Reconstruction. AAAI (2024)
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 (2024)
Junsheng Zhou, Weiqi Zhang, Baorui Ma, Kanle Shi, Yu-Shen Liu, Zhizhong Han
UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. CoRR (2024)
Wenyuan Zhang, Kanle Shi, Yu-Shen Liu, Zhizhong Han
Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. CoRR (2024)
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)
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)
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)
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) (2024)
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)
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)
Chao Chen, Yu-Shen Liu, Zhizhong Han
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. CoRR (2023)
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 (2023)
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)
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 (2023)
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)
Chao Chen, Yu-Shen Liu, Zhizhong Han
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors. CVPR (2023)
Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han
NeAF: Learning Neural Angle Fields for Point Normal Estimation. AAAI (2023)
Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. CVPR (2023)
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 (2023)
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 (2023)
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 (2023)
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) (2023)
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)
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 (2023)
Baorui Ma, Yu-Shen Liu, Zhizhong Han
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. ICML (2023)
Baorui Ma, Junsheng Zhou, Yu-Shen Liu, Zhizhong Han
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. CoRR (2023)
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 (2023)
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)
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 (2023)
Qing Li, Huifang Feng, Kanle Shi, Yi Fang, Yu-Shen Liu, Zhizhong Han
Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. CoRR (2023)
Chao Chen, Yu-Shen Liu, Zhizhong Han
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors. CoRR (2023)
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 (2023)
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)
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 (2023)
Junsheng Zhou, Jinsheng Wang, Baorui Ma, Yu-Shen Liu, Tiejun Huang, Xinlong Wang
Uni3D: Exploring Unified 3D Representation at Scale. CoRR (2023)
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 (2023)
Chao Chen, Yu-Shen Liu, Zhizhong Han
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. ICCV (2023)
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)
Baorui Ma, Yu-Shen Liu, Zhizhong Han
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. CoRR (2023)
Congcong Wen, Hao Huang, Yu-Shen Liu, Yi Fang
Pyramid Learnable Tokens for 3D LiDAR Place Recognition. ICRA (2023)
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 (2023)
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 (2023)
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) (2023)
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 (2023)
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)
Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CVPR (2022)
Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han
NeAF: Learning Neural Angle Fields for Point Normal Estimation. CoRR (2022)
Baorui Ma, Yu-Shen Liu, Zhizhong Han
Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. CoRR (2022)
Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. CoRR (2022)
Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CoRR (2022)
Xin Wen, Junsheng Zhou, Yu-Shen Liu, Zhen Dong, Zhizhong Han
3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. CoRR (2022)
Wenyuan Zhang, Ruofan Xing, Yunfan Zeng, Yu-Shen Liu, Kanle Shi, Zhizhong Han
Fast Learning Radiance Fields by Shooting Much Fewer Rays. CoRR (2022)
Baorui Ma, Yu-Shen Liu, Zhizhong Han
Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. CVPR (2022)
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 (2022)
Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Yi Fang, Zhizhong Han
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. NeurIPS (2022)
Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. CVPR (2022)
Chao Chen, Yu-Shen Liu, Zhizhong Han
Latent Partition Implicit with Surface Codes for 3D Representation. CoRR (2022)
Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han
Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. CoRR (2022)
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)
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 (2022)
Chao Chen, Yu-Shen Liu, Zhizhong Han
Latent Partition Implicit with Surface Codes for 3D Representation. ECCV (3) (2022)
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 (2022)
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 (2022)
Junsheng Zhou, Xin Wen, Yu-Shen Liu, Yi Fang, Zhizhong Han
Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder. CoRR (2022)
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 (2022)
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)
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)
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)
Zhizhong Han, Xiyang Wang, Yu-Shen Liu, Matthias Zwicker
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views. CoRR (2021)
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 (2021)
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)
Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention. IEEE Trans. Image Process. 30 (2021)
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)
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 (2021)
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)
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 (2021)
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)
Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. CoRR (2021)
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) (2021)
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 (2021)
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 (2020)
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 (2020)
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 (2020)
Zhizhong Han, Chao Chen, Yu-Shen Liu, Matthias Zwicker
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. CoRR (2020)
Nanxing Li, Qian Li, Yu-Shen Liu, Wenlong Lu, Wanqi Wang
BIMSeek++: Retrieving BIM components using similarity measurement of attributes. Comput. Ind. 116 (2020)
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 (2020)
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)
Zhizhong Han, Baorui Ma, Yu-Shen Liu, Matthias Zwicker
Reconstructing 3D Shapes From Multiple Sketches Using Direct Shape Optimization. IEEE Trans. Image Process. 29 (2020)
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 (2020)
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 (2020)
Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. CoRR (2020)
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)
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 (2020)
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)
Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu
Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. CVPR (2020)
Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu
Point Cloud Completion by Skip-attention Network with Hierarchical Folding. CoRR (2020)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yu-Shen Liu