Yu-Shen Liu
Orcid: 0000-0001-7305-1915
According to our database1,
Yu-Shen Liu
authored at least 100 papers
between 2004 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
IEEE Trans. Pattern Anal. Mach. Intell., April, 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
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
NeuSurf: On-Surface Priors for Neural Surface Reconstruction from Sparse Input Views.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Adv. Eng. Informatics, October, 2023
Adv. Eng. Informatics, August, 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
GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation.
CoRR, 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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 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
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
Robust Multiview Point Cloud Registration with Reliable Pose Graph Initialization and History Reweighting.
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
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
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. 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
CoRR, 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
Comput. Ind., 2020
LRC-Net: Learning discriminative features on point clouds by encoding local region contexts.
Comput. Aided Geom. Des., 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
2019
Dynamically loading IFC models on a web browser based on spatial semantic partitioning.
Vis. Comput. Ind. Biomed. Art, 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
MVDLite: A Light-weight Representation of Model View Definition with Fast Validation for BIM Applications.
CoRR, 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
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
Proceedings of the 20th Asia-Pacific Network Operations and Management Symposium, 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
Y^2Seq2Seq: Cross-Modal Representation Learning for 3D Shape and Text by Joint Reconstruction and Prediction of View and Word Sequences.
CoRR, 2018
2017
BoSCC: Bag of Spatial Context Correlations for Spatially Enhanced 3D Shape Representation.
IEEE Trans. Image Process., 2017
Enhanced Explicit Semantic Analysis for Product Model Retrieval in Construction Industry.
IEEE Trans. Ind. Informatics, 2017
Adv. Eng. Informatics, 2017
2016
VIV: Using visible internal volume to compute junction-aware shape descriptor of 3D articulated models.
Neurocomputing, 2016
2015
Junction-aware shape descriptor for 3D articulated models using local shape-radius variation.
Signal Process., 2015
2013
2012
Comput. Aided Des., 2012
3DMolNavi: A web-based retrieval and navigation tool for flexible molecular shape comparison.
BMC Bioinform., 2012
2011
Computing the Inner Distances of Volumetric Models for Articulated Shape Description with a Visibility Graph.
IEEE Trans. Pattern Anal. Mach. Intell., 2011
2010
Pattern Recognit., 2010
BMC Bioinform., 2010
2009
Robust principal axes determination for point-based shapes using least median of squares.
Comput. Aided Des., 2009
Computing global visibility maps for regions on the boundaries of polyhedra using Minkowski sums.
Comput. Aided Des., 2009
BMC Bioinform., 2009
BMC Bioinform., 2009
2008
Comput. Aided Des., 2008
2007
Anisotropic filtering on normal field and curvature tensor field using optimal estimation theory.
Proceedings of the 2007 International Conference on Shape Modeling and Applications (SMI 2007), 2007
Proceedings of the 2007 ACM Symposium on Solid and Physical Modeling, 2007
2006
Comput. Aided Des., 2006
Automatic least-squares projection of points onto point clouds with applications in reverse engineering.
Comput. Aided Des., 2006
2005
Proceedings of the 9th International Conference on Computer-Aided Design and Computer Graphics, 2005
2004
Proceedings of the Computational and Information Science, First International Symposium, 2004