3D shape creation by style transfer. - Zhizhong Han; Zhenbao Liu; Junwei Han 001; Shuhui Bu (Vis. Comput., 2015)

User guided 3D scene enrichment. - Suiyun Zhang; Zhizhong Han; Hui Zhang 013 (VRCAI, 2016)

Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine. - Zhizhong Han; Zhenbao Liu; Junwei Han 001; Chi-Man Vong; Shuhui Bu; Xuelong Li 001 (IEEE Trans. Image Process., 2016)

BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation. - Zhizhong Han; Zhenbao Liu; Chi-Man Vong; Yu-Shen Liu; Shuhui Bu; Junwei Han 001; C. L. Philip Chen (IEEE Trans. Image Process., 2017)

Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes. - Zhizhong Han; Zhenbao Liu; Junwei Han 001; Chi-Man Vong; Shuhui Bu; Chun-Lung Philip Chen (IEEE Trans. Neural Networks Learn. Syst., 2017)

Semantic 3D indoor scene enhancement using guide words. - Suiyun Zhang; Zhizhong Han; Ralph R. Martin; Hui Zhang 013 (Vis. Comput., 2017)

Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. - Zhizhong Han; Mingyang Shang; Xiyang Wang 001; Yu-Shen Liu; Matthias Zwicker (CoRR, 2018)

Development of CdSe-ZnO Flower-Rod Core-Shell Structure Based Photoelectrochemical Biosensor for Detection of Norovirous RNA. - Zhizhong Han; Qinghua Weng; Chaofan Lin; Jinquan Yi; Jie Kang (Sensors, 2018)

Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax. - Zhizhong Han; Zhenbao Liu; Chi-Man Vong; Yu-Shen Liu; Shuhui Bu; Junwei Han 001; C. L. Philip Chen (IEEE Trans. Image Process., 2018)

View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions. - Zhizhong Han; Mingyang Shang; Yu-Shen Liu; Matthias Zwicker (AAAI, 2019)

Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences. - Zhizhong Han; Mingyang Shang; Xiyang Wang 001; Yu-Shen Liu; Matthias Zwicker (AAAI, 2019)

Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. - Xinhai Liu; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (AAAI, 2019)

Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds From Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction. - Zhizhong Han; Xiyang Wang 001; Yu-Shen Liu; Matthias Zwicker (ICCV, 2019)

Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion. - Tao Hu 006; Zhizhong Han; Abhinav Shrivastava; Matthias Zwicker (ICCV Workshops, 2019)

Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities. - Xin Wen 003; Zhizhong Han; Xinyu Yin; Yu-Shen Liu (ICME, 2019)

Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. - Zhizhong Han; Xinhai Liu; Yu-Shen Liu; Matthias Zwicker (IJCAI, 2019)

3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention. - Zhizhong Han; Xiyang Wang 001; Chi-Man Vong; Yu-Shen Liu; Matthias Zwicker; C. L. Philip Chen (IJCAI, 2019)

Emotion Reinforced Visual Storytelling. - Nanxing Li; Bei Liu 001; Zhizhong Han; Yu-Shen Liu; Jianlong Fu (ICMR, 2019)

L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. - Xinhai Liu; Zhizhong Han; Xin Wen 003; Yu-Shen Liu; Matthias Zwicker (ACM Multimedia, 2019)

Fast Low-rank Metric Learning for Large-scale and High-dimensional Data. - Han Liu 010; Zhizhong Han; Yu-Shen Liu; Ming Gu 001 (NeurIPS, 2019)

Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy. - Zhizhong Han; Zhenbao Liu; Junwei Han 001; Chi-Man Vong; Shuhui Bu; C. L. Philip Chen (IEEE Trans. Cybern., 2019)

3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation. - Zhizhong Han; Honglei Lu; Zhenbao Liu; Chi-Man Vong; Yu-Shen Liu; Matthias Zwicker; Junwei Han 001; C. L. Philip Chen (IEEE Trans. Image Process., 2019)

SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention. - Zhizhong Han; Mingyang Shang; Zhenbao Liu; Chi-Man Vong; Yu-Shen Liu; Matthias Zwicker; Junwei Han 001; C. L. Philip Chen (IEEE Trans. Image Process., 2019)

Stylistic scene enhancement GAN: mixed stylistic enhancement generation for 3D indoor scenes. - Suiyun Zhang; Zhizhong Han; Yu-Kun Lai; Matthias Zwicker; Hui Zhang 013 (Vis. Comput., 2019)

3D Shape Completion with Multi-View Consistent Inference. - Tao Hu 006; Zhizhong Han; Matthias Zwicker (AAAI, 2020)

SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. - Yue Jiang 002; Dantong Ji; Zhizhong Han; Matthias Zwicker (CVPR, 2020)

Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. - Xin Wen 003; Tianyang Li; Zhizhong Han; Yu-Shen Liu (CVPR, 2020)

SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments from 2D Coordinates. - Zhizhong Han; Guanhui Qiao; Yu-Shen Liu; Matthias Zwicker (ECCV (24), 2020)

DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images. - Zhizhong Han; Chao Chen; Yu-Shen Liu; Matthias Zwicker (ICML, 2020)

ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences. - Zhizhong Han; Chao Chen; Yu-Shen Liu; Matthias Zwicker (ACM Multimedia, 2020)

CF-SIS: Semantic-Instance Segmentation of 3D Point Clouds by Context Fusion with Self-Attention. - Xin Wen 003; Zhizhong Han; Geunhyuk Youk; Yu-Shen Liu (ACM Multimedia, 2020)

Many-Criteria Evaluation of Infrastructure Investment Priorities for Distribution Network Planning. - Yidong Chen 004; Jinming Li; Kun Sheng; Tianbin Yang; Xiaolin Xu; Zhizhong Han; Zhuang Hu (IEEE Access, 2020)

LRC-Net: Learning discriminative features on point clouds by encoding local region contexts. - Xinhai Liu; Zhizhong Han; Fangzhou Hong; Yu-Shen Liu; Matthias Zwicker (Comput. Aided Geom. Des., 2020)

Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. - Xinhai Liu; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (CoRR, 2020)

Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces. - Baorui Ma; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (CoRR, 2020)

Reconstructing 3D Shapes From Multiple Sketches Using Direct Shape Optimization. - Zhizhong Han; Baorui Ma; Yu-Shen Liu; Matthias Zwicker (IEEE Trans. Image Process., 2020)

Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds Using Spatial-Aware Capsules. - Xin Wen 003; Zhizhong Han; Xinhai Liu; Yu-Shen Liu (IEEE Trans. Image Process., 2020)

Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding. - Xin Wen 003; Zhizhong Han; Yan-Pei Cao; Pengfei Wan 001; Wen Zheng; Yu-Shen Liu (CVPR, 2021)

PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths. - Xin Wen 003; Peng Xiang; Zhizhong Han; Yan-Pei Cao; Pengfei Wan 001; Wen Zheng; Yu-Shen Liu (CVPR, 2021)

Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. - Chao Chen; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (ICCV, 2021)

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. - Peng Xiang; Xin Wen 003; Yu-Shen Liu; Yan-Pei Cao; Pengfei Wan 001; Wen Zheng; Zhizhong Han (ICCV, 2021)

Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface. - Baorui Ma; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (ICML, 2021)

Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views. - Zhizhong Han; Xiyang Wang 001; Yu-Shen Liu; Matthias Zwicker (ACM Multimedia, 2021)

Learning to Generate Dense Point Clouds with Textures on Multiple Categories. - Tao Hu 006; Geng Lin; Zhizhong Han; Matthias Zwicker (WACV, 2021)

Part2Word: Learning Joint Embedding of Point Clouds and Text by Matching Parts to Words. - Chuan Tang; Xi Yang 017; Bojian Wu; Zhizhong Han; Yi Chang (CoRR, 2021)

Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results. - Liang Pan; Tong Wu; Zhongang Cai; Ziwei Liu 002; Xumin Yu; Yongming Rao; Jiwen Lu; Jie Zhou 001; Mingye Xu; Xiaoyuan Luo; Kexue Fu 001; Peng Gao 007; et al. (CoRR, 2021)

CMPD: Using Cross Memory Network With Pair Discrimination for Image-Text Retrieval. - Xin Wen 003; Zhizhong Han; Yu-Shen Liu (IEEE Trans. Circuits Syst. Video Technol., 2021)

Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention. - Xinhai Liu; Zhizhong Han; Yu-Shen Liu; Matthias Zwicker (IEEE Trans. Image Process., 2021)

Active Arrangement of Small Objects in 3D Indoor Scenes. - Suiyun Zhang; Zhizhong Han; Yu-Kun Lai; Matthias Zwicker; Hui Zhang 013 (IEEE Trans. Vis. Comput. Graph., 2021)

Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. - Tianyang Li; Xin Wen 003; Yu-Shen Liu; Hua Su; Zhizhong Han (CVPR, 2022)

Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. - Baorui Ma; Yu-Shen Liu; Zhizhong Han (CVPR, 2022)

Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. - Baorui Ma; Yu-Shen Liu; Matthias Zwicker; Zhizhong Han (CVPR, 2022)

3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. - Xin Wen 003; Junsheng Zhou; Yu-Shen Liu; Hua Su; Zhen Dong 005; Zhizhong Han (CVPR, 2022)

Latent Partition Implicit with Surface Codes for 3D Representation. - Chao Chen; Yu-Shen Liu; Zhizhong Han (ECCV (3), 2022)

HSurf-Net: Normal Estimation for 3D Point Clouds by Learning Hyper Surfaces. - Qing Li 032; Yu-Shen Liu; Jin-San Cheng; Cheng Wang 003; Yi Fang 006; Zhizhong Han (NeurIPS, 2022)

Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds. - Junsheng Zhou; Baorui Ma; Yu-Shen Liu; Yi Fang 006; Zhizhong Han (NeurIPS, 2022)

Self-Supervised Point Cloud Representation Learning with Occlusion Auto-Encoder. - Junsheng Zhou; Xin Wen 003; Yu-Shen Liu; Yi Fang 006; Zhizhong Han (CoRR, 2022)

3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. - Xin Wen 003; Junsheng Zhou; Yu-Shen Liu; Zhen Dong 005; Zhizhong Han (CoRR, 2022)

SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization. - Xinhai Liu; Xinchen Liu; Yu-Shen Liu; Zhizhong Han (IEEE Trans. Image Process., 2022)

NeAF: Learning Neural Angle Fields for Point Normal Estimation. - Shujuan Li; Junsheng Zhou; Baorui Ma; Yu-Shen Liu; Zhizhong Han (AAAI, 2023)

Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors. - Chao Chen; Yu-Shen Liu; Zhizhong Han (CVPR, 2023)

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yue Gao 002; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (CVPR, 2023)

Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment. - Baorui Ma; Junsheng Zhou; Yu-Shen Liu; Zhizhong Han (CVPR, 2023)

Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words. - Chuan Tang; Xi Yang; Bojian Wu; Zhizhong Han; Yi Chang (CVPR, 2023)

LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes. - Meng Wang 001; Yu-Shen Liu; Yue Gao 002; Kanle Shi; Yi Fang 006; Zhizhong Han (CVPR, 2023)

GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. - Chao Chen; Yu-Shen Liu; Zhizhong Han (ICCV, 2023)

Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction. - Sijia Jiang; Jing Hua 001; Zhizhong Han (ICCV, 2023)

Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. - Peng Xiang; Xin Wen 003; Yu-Shen Liu; Hui Zhang 013; Yi Fang 006; Zhizhong Han (ICCV, 2023)

Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. - Junsheng Zhou; Baorui Ma; Shujuan Li; Yu-Shen Liu; Zhizhong Han (ICCV, 2023)

Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping. - Baorui Ma; Yu-Shen Liu; Zhizhong Han (ICML, 2023)

NeuralGF: Unsupervised Point Normal Estimation by Learning Neural Gradient Function. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yue Gao 002; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2023)

Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors. - Pengchong Hu; Zhizhong Han (NeurIPS, 2023)

Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching. - Junsheng Zhou; Baorui Ma; Wenyuan Zhang; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2023)

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (SIGGRAPH Asia, 2023)

PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths. - Xin Wen 003; Peng Xiang; Zhizhong Han; Yan-Pei Cao; Pengfei Wan 001; Wen Zheng; Yu-Shen Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Fast Learning Radiance Fields by Shooting Much Fewer Rays. - Wenyuan Zhang; Ruofan Xing; Yunfan Zeng; Yu-Shen Liu; Kanle Shi; Zhizhong Han (IEEE Trans. Image Process., 2023)

Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer. - Peng Xiang; Xin Wen 003; Yu-Shen Liu; Yan-Pei Cao; Pengfei Wan 001; Wen Zheng; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion. - Xinhai Liu; Zhizhong Han; Sanghuk Lee; Yan-Pei Cao; Yu-Shen Liu (Comput. Aided Geom. Des., 2023)

Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling. - Shujuan Li; Junsheng Zhou; Baorui Ma; Yu-Shen Liu; Zhizhong Han (AAAI, 2024)

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion. - Junsheng Zhou; Weiqi Zhang; Baorui Ma; Kanle Shi; Yu-Shen Liu; Zhizhong Han (CVPR, 2024)

Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes. - Chao Chen; Yu-Shen Liu; Zhizhong Han (ECCV (48), 2024)

Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. - Wenyuan Zhang; Kanle Shi; Yu-Shen Liu; Zhizhong Han (ECCV (49), 2024)

3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds. - Junsheng Zhou; Xin Wen 003; Baorui Ma; Yu-Shen Liu; Yue Gao 002; Yi Fang 006; Zhizhong Han (ICRA, 2024)

Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images. - Baorui Ma; Yu-Shen Liu; Matthias Zwicker; Zhizhong Han (ACM Multimedia, 2024)

Inferring Neural Signed Distance Functions by Overfitting on Single Noisy Point Clouds through Finetuning Data-Driven based Priors. - Chao Chen; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2024)

Binocular-Guided 3D Gaussian Splatting with View Consistency for Sparse View Synthesis. - Liang Han; Junsheng Zhou; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2024)

MultiPull: Detailing Signed Distance Functions by Pulling Multi-Level Queries at Multi-Step. - Takeshi Noda; Chao Chen; Weiqi Zhang; Xinhai Liu; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2024)

Neural Signed Distance Function Inference through Splatting 3D Gaussians Pulled on Zero-Level Set. - Wenyuan Zhang; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2024)

Zero-Shot Scene Reconstruction from Single Images with Deep Prior Assembly. - Junsheng Zhou; Yu-Shen Liu; Zhizhong Han (NeurIPS, 2024)

Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation. - Qing Li 032; Huifang Feng 002; Kanle Shi; Yue Gao 002; Yi Fang 006; Yu-Shen Liu; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Fast Learning of Signed Distance Functions From Noisy Point Clouds via Noise to Noise Mapping. - Junsheng Zhou; Baorui Ma; Yu-Shen Liu; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization. - Junsheng Zhou; Baorui Ma; Shujuan Li; Yu-Shen Liu; Yi Fang 006; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Sharpening Neural Implicit Functions with Frequency Consolidation Priors. - Chao Chen; Yu-Shen Liu; Zhizhong Han (AAAI, 2025)

Query Quantized Neural SLAM. - Sijia Jiang; Jing Hua 001; Zhizhong Han (AAAI, 2025)

Sensing Surface Patches in Volume Rendering for Inferring Signed Distance Functions. - Sijia Jiang; Tong Wu; Jing Hua 001; Zhizhong Han (AAAI, 2025)

GaussianUDF: Inferring Unsigned Distance Functions through 3D Gaussian Splatting. - Shujuan Li; Yu-Shen Liu; Zhizhong Han (CVPR, 2025)

Learning Bijective Surface Parameterization for Inferring Signed Distance Functions from Sparse Point Clouds with Grid Deformation. - Takeshi Noda; Chao Chen; Junsheng Zhou; Weiqi Zhang; Yu-Shen Liu; Zhizhong Han (CVPR, 2025)

NeRFPrior: Learning Neural Radiance Field as a Prior for Indoor Scene Reconstruction. - Wenyuan Zhang; Emily Yue-ting Jia; Junsheng Zhou; Baorui Ma; Kanle Shi; Yu-Shen Liu; Zhizhong Han (CVPR, 2025)

MonoInstance: Enhancing Monocular Priors via Multi-view Instance Alignment for Neural Rendering and Reconstruction. - Wenyuan Zhang; Yixiao Yang; Han Huang; Liang Han; Kanle Shi; Yu-Shen Liu; Zhizhong Han (CVPR, 2025)

NeuralTPS: Learning Signed Distance Functions Without Priors From Single Sparse Point Clouds. - Chao Chen; Yu-Shen Liu; Zhizhong Han (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

VTGaussian-SLAM: RGBD SLAM for Large Scale Scenes with Splatting View-Tied 3D Gaussians. - Pengchong Hu; Zhizhong Han (CoRR, 2025)

SparseRecon: Neural Implicit Surface Reconstruction from Sparse Views with Feature and Depth Consistencies. - Liang Han; Xu Zhang; Haichuan Song; Kanle Shi; Yu-Shen Liu; Zhizhong Han (CoRR, 2025)