Zhizhong Han

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 130

Top Venues

CoRR

CVPR

IEEE Trans. Image Process.

ICCV

Publications

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)
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)
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)
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)
Pengchong Hu, Zhizhong Han
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors. NeurIPS (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)
Pengchong Hu, Zhizhong Han
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors. 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. 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)
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)
Sijia Jiang, Jing Hua, Zhizhong Han
Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction. CoRR (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)
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)
Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang
Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words. 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)
Sijia Jiang, Jing Hua, Zhizhong Han
Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction. ICCV (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, 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)
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)
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)
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)
Chuan Tang, Xi Yang, Bojian Wu, Zhizhong Han, Yi Chang
Part2Word: Learning Joint Embedding of Point Clouds and Text by Matching Parts to Words. 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. 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)
Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker
Learning to Generate Dense Point Clouds with Textures on Multiple Categories. WACV (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)
Suiyun Zhang, Zhizhong Han, Yu-Kun Lai, Matthias Zwicker, Hui Zhang
Active Arrangement of Small Objects in 3D Indoor Scenes. IEEE Trans. Vis. Comput. Graph. 27 (4) (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)
Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. CVPR (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)
Yidong Chen, Jinming Li, Kun Sheng, Tianbin Yang, Xiaolin Xu, Zhizhong Han, Zhuang Hu
Many-Criteria Evaluation of Infrastructure Investment Priorities for Distribution Network Planning. IEEE Access 8 (2020)
Tao Hu, Zhizhong Han, Matthias Zwicker
3D Shape Completion with Multi-View Consistent Inference. AAAI (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)
Nanxing Li, Bei Liu, Zhizhong Han, Yu-Shen Liu, Jianlong Fu
Emotion Reinforced Visual Storytelling. ICMR (2019)
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 (2019)
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 (2019)
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 (2019)
Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker
Learning to Generate Dense Point Clouds with Textures on Multiple Categories. CoRR (2019)
Suiyun Zhang, Zhizhong Han, Yu-Kun Lai, Matthias Zwicker, Hui Zhang
Stylistic scene enhancement GAN: mixed stylistic enhancement generation for 3D indoor scenes. Vis. Comput. 35 (6-8) (2019)
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)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhizhong Han