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2020 – today
- 2024
[j26]Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Yi Fang, Zhizhong Han:
CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7475-7492 (2024)- [j25]Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Fast Learning of Signed Distance Functions From Noisy Point Clouds via Noise to Noise Mapping. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8936-8953 (2024) - [j24]Qing Li, Huifang Feng, Kanle Shi, Yue Gao, Yi Fang, Yu-Shen Liu, Zhizhong Han:
Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 9957-9974 (2024) - [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]Wenyuan Zhang, Kanle Shi, Yu-Shen Liu, Zhizhong Han:
Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors. ECCV (49) 2024: 397-415 - [c50]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 - [c49]Baorui Ma
, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images. ACM Multimedia 2024: 10248-10257 - [i59]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) - [i58]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) - [i57]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) - [i56]Chao Chen, Zhizhong Han, Yu-Shen Liu:
Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes. CoRR abs/2408.14279 (2024) - 2023
- [j23]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) - [j22]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) - [j21]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) - [j20]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]Shujuan Li, Junsheng Zhou, Baorui Ma, Yu-Shen Liu, Zhizhong Han:
NeAF: Learning Neural Angle Fields for Point Normal Estimation. AAAI 2023: 1396-1404 - [c47]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: 6884-6893 - [c46]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 - [c45]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 - [c44]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 - [c43]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 - [c42]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 - [c41]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 - [c40]Chao Chen, Yu-Shen Liu, Zhizhong Han:
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. ICCV 2023: 18276-18288 - [c39]Sijia Jiang, Jing Hua, Zhizhong Han:
Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction. ICCV 2023: 18312-18323 - [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]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 - [c36]Pengchong Hu, Zhizhong Han:
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors. 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]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]Sijia Jiang, Jing Hua, Zhizhong Han:
Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction. CoRR abs/2308.11025 (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]Pengchong Hu, Zhizhong Han:
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors. CoRR abs/2310.11598 (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]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) - [i42]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
- [j19]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 - [i41]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) - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]Baorui Ma, Yu-Shen Liu, Zhizhong Han:
Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. CoRR abs/2204.10603 (2022) - [i35]Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han:
Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. CoRR abs/2204.11015 (2022) - [i34]Chao Chen, Yu-Shen Liu, Zhizhong Han:
Latent Partition Implicit with Surface Codes for 3D Representation. CoRR abs/2207.08631 (2022) - [i33]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) - [i32]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) - [i31]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) - [i30]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
- [j18]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) - [j17]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) - [j16]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): 2250-2264 (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 - [c20]Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker:
Learning to Generate Dense Point Clouds with Textures on Multiple Categories. WACV 2021: 2169-2178 - [i29]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) - [i28]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 abs/2107.01872 (2021) - [i27]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) - [i26]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) - [i25]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) - [i24]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
- [j15]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: 221111-221118 (2020) - [j14]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) - [j13]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) - [j12]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) - [c19]Tao Hu, Zhizhong Han, Matthias Zwicker:
3D Shape Completion with Multi-View Consistent Inference. AAAI 2020: 10997-11004 - [c18]Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker:
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. CVPR 2020: 1248-1258 - [c17]Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu:
Point Cloud Completion by Skip-Attention Network With Hierarchical Folding. CVPR 2020: 1936-1945 - [c16]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 - [c15]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 - [c14]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 - [c13]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 - [i23]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) - [i22]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) - [i21]Xin Wen, Tianyang Li, Zhizhong Han, Yu-Shen Liu:
Point Cloud Completion by Skip-attention Network with Hierarchical Folding. CoRR abs/2005.03871 (2020) - [i20]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. CoRR abs/2005.12541 (2020) - [i19]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) - [i18]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) - [i17]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) - [i16]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
- [j11]Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, C. L. Philip Chen:
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy. IEEE Trans. Cybern. 49(2): 481-494 (2019) - [j10]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) - [j9]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) - [j8]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): 1157-1169 (2019) - [c12]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 - [c11]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 - [c10]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 - [c9]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 - [c8]Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker:
Render4Completion: Synthesizing Multi-View Depth Maps for 3D Shape Completion. ICCV Workshops 2019: 4114-4122 - [c7]Xin Wen, Zhizhong Han, Xinyu Yin, Yu-Shen Liu:
Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities. ICME 2019: 478-483 - [c6]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 - [c5]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 - [c4]Nanxing Li, Bei Liu, Zhizhong Han, Yu-Shen Liu, Jianlong Fu:
Emotion Reinforced Visual Storytelling. ICMR 2019: 297-305 - [c3]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 - [c2]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 - [i15]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) - [i14]Tao Hu, Zhizhong Han, Abhinav Shrivastava, Matthias Zwicker:
Render4Completion: Synthesizing Multi-view Depth Maps for 3D Shape Completion. CoRR abs/1904.08366 (2019) - [i13]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) - [i12]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) - [i11]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) - [i10]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) - [i9]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) - [i8]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) - [i7]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) - [i6]Tao Hu, Zhizhong Han, Matthias Zwicker:
3D Shape Completion with Multi-view Consistent Inference. CoRR abs/1911.12465 (2019) - [i5]Yue Jiang, Dantong Ji, Zhizhong Han, Matthias Zwicker:
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization. CoRR abs/1912.07109 (2019) - [i4]Tao Hu, Geng Lin, Zhizhong Han, Matthias Zwicker:
Learning to Generate Dense Point Clouds with Textures on Multiple Categories. CoRR abs/1912.10545 (2019) - 2018
- [j7]Zhizhong Han, Qinghua Weng, Chaofan Lin, Jinquan Yi, Jie Kang:
Development of CdSe-ZnO Flower-Rod Core-Shell Structure Based Photoelectrochemical Biosensor for Detection of Norovirous RNA. Sensors 18(9): 2980 (2018) - [j6]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
- [j5]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) - [j4]Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, Chun Lung Philip Chen:
Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes. IEEE Trans. Neural Networks Learn. Syst. 28(10): 2268-2281 (2017) - [j3]Suiyun Zhang, Zhizhong Han, Ralph R. Martin, Hui Zhang:
Semantic 3D indoor scene enhancement using guide words. Vis. Comput. 33(6-8): 925-935 (2017) - 2016
- [j2]Zhizhong Han, Zhenbao Liu, Junwei Han, Chi-Man Vong, Shuhui Bu, Xuelong Li:
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine. IEEE Trans. Image Process. 25(11): 5331-5344 (2016) - [c1]Suiyun Zhang, Zhizhong Han, Hui Zhang:
User guided 3D scene enrichment. VRCAI 2016: 353-362 - 2015
- [j1]Zhizhong Han, Zhenbao Liu, Junwei Han, Shuhui Bu:
3D shape creation by style transfer. Vis. Comput. 31(9): 1147-1161 (2015)
Coauthor Index
[j26] [j25] [j24] [c53] [c52] [c51] [c50] [c49] [i59] [i58] [i57] [i56] [j23] [j22] [j21] [j20] [c48] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c38] [c37] [c35] [c34] [i55] [i54] [i53] [i52] [i51] [i50] [i48] [i47] [i46] [i44] [i43] [i42] [j19] [c33] [c32] [c31] [c30] [c29] [c28] [c27] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [j18] [j17] [c26] [c25] [c24] [c23] [c22] [c21] [i29] [i27] [i26] [i25] [i24] [j14] [j13] [j12] [c17] [c16] [c15] [c14] [c13] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [j10] [j9] [c12] [c11] [c10] [c9] [c7] [c6] [c5] [c4] [c3] [c2] [i15] [i13] [i12] [i11] [i10] [i9] [i8] [i7] [j6] [i3] [i2] [i1] [j5]
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