Zhizhong Han
Orcid: 0000-0001-9540-9973
According to our database1,
Zhizhong Han
authored at least 80 papers
between 2015 and 2024.
Collaborative distances:
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Bibliography
2024
Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion.
Comput. Aided Geom. Des., July, 2023
Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023
IEEE Trans. Image Process., 2023
PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths.
IEEE Trans. Pattern Anal. Mach. Intell., 2023
CoRR, 2023
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023
Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Neural Implicit through Volume Rendering with Attentive Depth Fusion Priors.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Learning Signed Distance Functions from Noisy 3D Point Clouds via Noise to Noise Mapping.
Proceedings of the International Conference on Machine Learning, 2023
Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
LP-DIF: Learning Local Pattern-Specific Deep Implicit Function for 3D Objects and Scenes.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Towards Better Gradient Consistency for Neural Signed Distance Functions via Level Set Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization.
IEEE Trans. Image Process., 2022
CoRR, 2022
Learning Consistency-Aware Unsigned Distance Functions Progressively from Raw Point Clouds.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
IEEE Trans. Vis. Comput. Graph., 2021
IEEE Trans. Image Process., 2021
IEEE Trans. Circuits Syst. Video Technol., 2021
Multi-View Partial (MVP) Point Cloud Challenge 2021 on Completion and Registration: Methods and Results.
CoRR, 2021
Part2Word: Learning Joint Embedding of Point Clouds and Text by Matching Parts to Words.
CoRR, 2021
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021
Hierarchical View Predictor: Unsupervised 3D Global Feature Learning through Hierarchical Prediction among Unordered Views.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Neural-Pull: Learning Signed Distance Function from Point clouds by Learning to Pull Space onto Surface.
Proceedings of the 38th International Conference on Machine Learning, 2021
SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
2020
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds Using Spatial-Aware Capsules.
IEEE Trans. Image Process., 2020
IEEE Trans. Image Process., 2020
Neural-Pull: Learning Signed Distance Functions from Point Clouds by Learning to Pull Space onto Surfaces.
CoRR, 2020
CoRR, 2020
LRC-Net: Learning discriminative features on point clouds by encoding local region contexts.
Comput. Aided Geom. Des., 2020
Many-Criteria Evaluation of Infrastructure Investment Priorities for Distribution Network Planning.
IEEE Access, 2020
CF-SIS: Semantic-Instance Segmentation of 3D Point Clouds by Context Fusion with Self-Attention.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
ShapeCaptioner: Generative Caption Network for 3D Shapes by Learning a Mapping from Parts Detected in Multiple Views to Sentences.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images.
Proceedings of the 37th International Conference on Machine Learning, 2020
SeqXY2SeqZ: Structure Learning for 3D Shapes by Sequentially Predicting 1D Occupancy Segments from 2D Coordinates.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Stylistic scene enhancement GAN: mixed stylistic enhancement generation for 3D indoor scenes.
Vis. Comput., 2019
SeqViews2SeqLabels: Learning 3D Global Features via Aggregating Sequential Views by RNN With Attention.
IEEE Trans. Image Process., 2019
3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN With Hierarchical Attention Aggregation.
IEEE Trans. Image Process., 2019
Unsupervised Learning of 3-D Local Features From Raw Voxels Based on a Novel Permutation Voxelization Strategy.
IEEE Trans. Cybern., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention.
Proceedings of the 27th ACM International Conference on Multimedia, 2019
Proceedings of the 2019 on International Conference on Multimedia Retrieval, 2019
3DViewGraph: Learning Global Features for 3D Shapes from A Graph of Unordered Views with Attention.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Adversarial Cross-Modal Retrieval via Learning and Transferring Single-Modal Similarities.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 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.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Y2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
View Inter-Prediction GAN: Unsupervised Representation Learning for 3D Shapes by Learning Global Shape Memories to Support Local View Predictions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Deep Spatiality: Unsupervised Learning of Spatially-Enhanced Global and Local 3D Features by Deep Neural Network With Coupled Softmax.
IEEE Trans. Image Process., 2018
Development of CdSe-ZnO Flower-Rod Core-Shell Structure Based Photoelectrochemical Biosensor for Detection of Norovirous RNA.
Sensors, 2018
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences.
CoRR, 2018
2017
Mesh Convolutional Restricted Boltzmann Machines for Unsupervised Learning of Features With Structure Preservation on 3-D Meshes.
IEEE Trans. Neural Networks Learn. Syst., 2017
BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation.
IEEE Trans. Image Process., 2017
2016
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine.
IEEE Trans. Image Process., 2016
Proceedings of the 15th ACM SIGGRAPH Conference on Virtual-Reality Continuum and Its Applications in Industry, 2016
2015