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Fast Learning of Signed Distance Functions From Noisy Point Clouds via Noise to Noise Mapping

IEEE transactions on pattern analysis and machine intelligence, 2024-12, Vol.46 (12), p.8936-8953

2024

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Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation

IEEE transactions on pattern analysis and machine intelligence, 2024-12, Vol.46 (12), p.9957-9974

2024

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CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization

IEEE transactions on pattern analysis and machine intelligence, 2024-12, Vol.46 (12), p.7475-7492

2024

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Synthesis of a Zn-MOF fluorescent material for sensitive detection of biothiols via an inner filter effect with MnO2 nanosheets

Analytical methods, 2024-11

2024

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Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images

Proceedings of the 32nd ACM International Conference on Multimedia, 2024, p.10248-10257

2024

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NeuralTPS: Learning Signed Distance Functions without Priors from Single Sparse Point Clouds

IEEE transactions on pattern analysis and machine intelligence, 2024-10, Vol.PP, p.1-18

2024

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Improved photoelectrochemical performance of TiO2-in-MIL-101(Cr)@CDs@AgNPs and application for the detection of ultralow level AβO

Microporous and mesoporous materials, 2024-09, Vol.377, p.113214, Article 113214

2024

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UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion

2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024, p.21496-21506

2024

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3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds

2024 IEEE International Conference on Robotics and Automation (ICRA), 2024, p.15416-15423

2024

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Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2024, Vol.38 (4), p.3181-3189

2024

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Synthesis of carbon dot based Schiff bases and selective anticancer activity in glioma cells

RSC advances, 2024-01, Vol.14 (3), p.1952-1961

2024

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Synthesis of Zn-MOF fluorescent material for sensitive detection of biothiols via internal filtration effect with MnO2 nanosheets

Analytical methods, 2024

2024

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Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors

Computer Vision – ECCV 2024, 2024, p.397-415

2024

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Neural Gradient Learning and Optimization for Oriented Point Normal Estimation

SIGGRAPH Asia 2023 Conference Papers, 2023, p.1-9

2023

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D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion

Computer aided geometric design, 2023-07, Vol.104, p.102206, Article 102206

2023

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NeAF: Learning Neural Angle Fields for Point Normal Estimation

Proceedings of the ... AAAI Conference on Artificial Intelligence, 2023, Vol.37 (1), p.1396-1404

2023

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Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer

IEEE transactions on pattern analysis and machine intelligence, 2023-05, Vol.45 (5), p.6320-6338

2023

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In or on, a study of the influence of the binding site for TiO2 and MIL-101(Cr)

Dalton transactions : an international journal of inorganic chemistry, 2023-04, Vol.52 (16), p.5345-5353

2023

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In or on, a study of the influence of the binding site for TiO and MIL-101(Cr)

Dalton transactions : an international journal of inorganic chemistry, 2023-04, Vol.52 (16), p.5345-5353

2023

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In or on, a study of the influence of the binding site for TiO 2 and MIL-101(Cr)

Dalton transactions : an international journal of inorganic chemistry, 2023-04, Vol.52 (16), p.5345-5353

2023

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SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.13591-13600

2023

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Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.6884-6893

2023

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PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths

IEEE transactions on pattern analysis and machine intelligence, 2023-01, Vol.45 (1), p.852-867

2023

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Fast Learning Radiance Fields by Shooting Much Fewer Rays

IEEE transactions on image processing, 2023, Vol.32, p.2703-2718

2023

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Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023, p.17712-17723

2023

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Fast Learning of Signed Distance Functions From Noisy Point Clouds via Noise to Noise Mapping

Learning Signed Hyper Surfaces for Oriented Point Cloud Normal Estimation

CAP-UDF: Learning Unsigned Distance Functions Progressively From Raw Point Clouds With Consistency-Aware Field Optimization

Synthesis of a Zn-MOF fluorescent material for sensitive detection of biothiols via an inner filter effect with MnO2 nanosheets

Inferring 3D Occupancy Fields through Implicit Reasoning on Silhouette Images

NeuralTPS: Learning Signed Distance Functions without Priors from Single Sparse Point Clouds

Improved photoelectrochemical performance of TiO2-in-MIL-101(Cr)@CDs@AgNPs and application for the detection of ultralow level AβO

UDiFF: Generating Conditional Unsigned Distance Fields with Optimal Wavelet Diffusion

3D-OAE: Occlusion Auto-Encoders for Self-Supervised Learning on Point Clouds

Learning Continuous Implicit Field with Local Distance Indicator for Arbitrary-Scale Point Cloud Upsampling

Synthesis of carbon dot based Schiff bases and selective anticancer activity in glioma cells

Synthesis of Zn-MOF fluorescent material for sensitive detection of biothiols via internal filtration effect with MnO2 nanosheets

Learning Unsigned Distance Functions from Multi-view Images with Volume Rendering Priors

Neural Gradient Learning and Optimization for Oriented Point Normal Estimation

D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion

NeAF: Learning Neural Angle Fields for Point Normal Estimation

Snowflake Point Deconvolution for Point Cloud Completion and Generation With Skip-Transformer

In or on, a study of the influence of the binding site for TiO2 and MIL-101(Cr)

In or on, a study of the influence of the binding site for TiO and MIL-101(Cr)

In or on, a study of the influence of the binding site for TiO 2 and MIL-101(Cr)

SHS-Net: Learning Signed Hyper Surfaces for Oriented Normal Estimation of Point Clouds

Parts2Words: Learning Joint Embedding of Point Clouds and Texts by Bidirectional Matching Between Parts and Words

PMP-Net++: Point Cloud Completion by Transformer-Enhanced Multi-Step Point Moving Paths

Fast Learning Radiance Fields by Shooting Much Fewer Rays

Unsupervised Inference of Signed Distance Functions from Single Sparse Point Clouds without Learning Priors

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