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A voxelized point clouds representation for object classification and segmentation on 3D data

The Journal of supercomputing, 2022, Vol.78 (1), p.1479-1500

2022

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A Review on Deep Learning Approaches for 3D Data Representations in Retrieval and Classifications

IEEE access, 2020, Vol.8, p.57566-57593

2020

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SDM3d: shape decomposition of multiple geometric priors for 3D pose estimation

Neural computing & applications, 2021-04, Vol.33 (7), p.2165-2181

2021

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Crowd estimation using key‐point matching with support vector regression

IET image processing, 2021-12, Vol.15 (14), p.3551-3558

2021

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Crowd Density Level Estimation and Anomaly Detection Using Multicolumn Multistage Bilinear Convolution Attention Network (MCMS-BCNN-Attention)

Applied sciences, 2023-01, Vol.13 (1), p.248

2023

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Graph contrastive learning with cross-encoder for community discovery

Applied intelligence (Dordrecht, Netherlands), 2024, Vol.54 (2), p.2211-2224

2024

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JSL3d: Joint subspace learning with implicit structure supervision for 3D pose estimation

Pattern recognition, 2022-12, Vol.132, p.108965, Article 108965

2022

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Face recognition by decision fusion of two-dimensional linear discriminant analysis and local binary pattern

Frontiers of Computer Science, 2016-12, Vol.10 (6), p.1118-1129

2016

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Bayesian Compressive Sensing Based on Importance Models

Sensors & transducers, 2013-06, Vol.22 (Special Issue), p.139-146

2013

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Trends in Event Understanding and Caption Generation/Reconstruction in Dense Video: A Review

Computers, materials & continua, 2024, Vol.78 (3), p.2941-2965

2024

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Reweighted sparse representation with residual compensation for 3D human pose estimation from a single RGB image

Neurocomputing (Amsterdam), 2019-09, Vol.358, p.332-343

2019

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Adversarial Learning for Coordinate Regression through k-layer Penetrating Representation

IEEE transactions on dependable and secure computing, 2024, p.1-15

2024

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A Deep Learning Approach to Mesh Segmentation

Computer modeling in engineering & sciences, 2023, Vol.135 (2), p.1745-1763

2023

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Ontology-driven hierarchical sparse coding for large-scale image classification

Neurocomputing (Amsterdam), 2019-09, Vol.360, p.209-219

2019

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CO-NET: Classification-Oriented Point Cloud Sampling via Informative Feature Learning and Non-Overlapped Local Adjustment

ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2023, p.1-5

2023

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Temporal sparse feature auto‐combination deep network for video action recognition

Concurrency and computation, 2018-12, Vol.30 (23), p.n/a

2018

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Supervised sparse manifold regression for head pose estimation in 3D space

Signal processing, 2015-07, Vol.112, p.34-42

2015

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Range clusters based time-of-flight 3D imaging obstacle detection in manifold space

Optics express, 2014-04, Vol.22 (8), p.8880-8892

2014

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Supervised locality discriminant manifold learning for head pose estimation

Knowledge-based systems, 2014-08, Vol.66, p.126-135

2014

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Parallelizing Convolutional Neural Networks for Action Event Recognition in Surveillance Videos

International journal of parallel programming, 2017-08, Vol.45 (4), p.734-759

2017

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Supervised preserving projection for learning scene information based on time-of-flight imaging sensor

Applied optics. Optical technology and biomedical optics, 2013-07, Vol.52 (21), p.5279

2013

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Towards Locality Similarity Preserving to 3D Human Pose Estimation

Computer Vision – ACCV 2020 Workshops, p.136-153

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Preserving discriminant manifold subspace learning for plant leaf recognition

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016, p.1744-1749

2016

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Image compressed sensing based on multi-level adaptive learning dictionaries

2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), 2014, p.782-787

2014

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Visual attributes based sparse multitask action recognition

2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 2016, p.1767-1772

2016

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A voxelized point clouds representation for object classification and segmentation on 3D data

A Review on Deep Learning Approaches for 3D Data Representations in Retrieval and Classifications

SDM3d: shape decomposition of multiple geometric priors for 3D pose estimation

Crowd estimation using key‐point matching with support vector regression

Crowd Density Level Estimation and Anomaly Detection Using Multicolumn Multistage Bilinear Convolution Attention Network (MCMS-BCNN-Attention)

Graph contrastive learning with cross-encoder for community discovery

JSL3d: Joint subspace learning with implicit structure supervision for 3D pose estimation

Face recognition by decision fusion of two-dimensional linear discriminant analysis and local binary pattern

Bayesian Compressive Sensing Based on Importance Models

Trends in Event Understanding and Caption Generation/Reconstruction in Dense Video: A Review

Reweighted sparse representation with residual compensation for 3D human pose estimation from a single RGB image

Adversarial Learning for Coordinate Regression through k-layer Penetrating Representation

A Deep Learning Approach to Mesh Segmentation

Ontology-driven hierarchical sparse coding for large-scale image classification

CO-NET: Classification-Oriented Point Cloud Sampling via Informative Feature Learning and Non-Overlapped Local Adjustment

Temporal sparse feature auto‐combination deep network for video action recognition

Supervised sparse manifold regression for head pose estimation in 3D space

Range clusters based time-of-flight 3D imaging obstacle detection in manifold space

Supervised locality discriminant manifold learning for head pose estimation

Parallelizing Convolutional Neural Networks for Action Event Recognition in Surveillance Videos

Supervised preserving projection for learning scene information based on time-of-flight imaging sensor

Towards Locality Similarity Preserving to 3D Human Pose Estimation

Preserving discriminant manifold subspace learning for plant leaf recognition

Image compressed sensing based on multi-level adaptive learning dictionaries

Visual attributes based sparse multitask action recognition

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