Morell, V.[Vicente],
Orts, S.[Sergio],
Cazorla, M.[Miguel],
Garcia-Rodriguez, J.[Jose],
Geometric 3D point cloud compression,
PRL(50), No. 1, 2014, pp. 55-62.
Elsevier DOI
1410
3D data
BibRef
Thanou, D.,
Chou, P.A.,
Frossard, P.,
Graph-Based Compression of Dynamic 3D Point Cloud Sequences,
IP(25), No. 4, April 2016, pp. 1765-1778.
IEEE DOI
1604
Correlation
BibRef
de Queiroz, R.L.,
Chou, P.A.,
Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical
Transform,
IP(25), No. 8, August 2016, pp. 3947-3956.
IEEE DOI
1608
Haar transforms
BibRef
de Queiroz, R.L.,
Chou, P.A.,
Transform Coding for Point Clouds Using a Gaussian Process Model,
IP(26), No. 7, July 2017, pp. 3507-3517.
IEEE DOI
1706
Covariance matrices, Fourier transforms, Gaussian processes,
Image color analysis,
Transform coding, Gaussian processes, Karhunen-Loeve transform,
data compression, graph Fourier transform,
graph signal processing, point cloud
BibRef
de Queiroz, R.L.[Ricardo L.],
Chou, P.A.,
Motion-Compensated Compression of Dynamic Voxelized Point Clouds,
IP(26), No. 8, August 2017, pp. 3886-3895.
IEEE DOI
1707
BibRef
And:
Motion-compensated compression of point cloud video,
ICIP17(1417-1421)
IEEE DOI
1803
Distortion, Distortion measurement, Dynamics, Encoding, Geometry,
Image color analysis,
data compression, image coding, image colour analysis,
image filtering, motion compensation, rate distortion theory,
BibRef
Souto, A.L.[André L.],
de Queiroz, R.L.[Ricardo L.],
Dorea, C.[Camilo],
Motion-Compensated Predictive RAHT for Dynamic Point Clouds,
IP(32), 2023, pp. 2428-2437.
IEEE DOI
2305
BibRef
Earlier: A1, A2, Only:
On Predictive RAHT For Dynamic Point Cloud Coding,
ICIP20(2701-2705)
IEEE DOI
2011
Point cloud compression, Transforms, Image coding, Dynamics, Octrees,
Geometry, Image color analysis, RAHT, inter-frame prediction,
dynamic point cloud.
Gain, Encoding, Distortion,
Reliability, Prediction algorithms, inter-frame prediction,
intra-frame prediction
BibRef
Seidel, I.[Ismael],
Freitas, D.R.[Davi R.],
Dorea, C.[Camilo],
Garcia, D.C.[Diogo C.],
Ferreira, R.U.B.[Renan U. B.],
Higa, R.[Rogério],
de Queiroz, R.L.[Ricardo L.],
Testoni, V.[Vanessa],
Memory-Friendly Segmentation Refinement for Video-Based Point Cloud
Compression,
ICIP21(3383-3387)
IEEE DOI
2201
Video coding, Image coding, Transform coding, Real-time systems,
Software, Resource management, Point Cloud Compression, V-PCC, 3DG,
Segmentation Refinement
BibRef
Dorea, C.[Camilo],
de Queiroz, R.L.[Ricardo L.],
Adaptive Block Partitioning of Point Clouds for Video-Based Color
Compression,
ICIP20(2746-2749)
IEEE DOI
2011
Image color analysis, Proposals,
Geometry, Bit rate, Encoding,
compression of color attributes
BibRef
Dorea, C.,
Hung, E.M.,
de Queiroz, R.L.,
Local Texture and Geometry Descriptors for Fast Block-Based Motion
Estimation of Dynamic Voxelized Point Clouds,
ICIP19(3721-3725)
IEEE DOI
1910
BibRef
Earlier: A1, A3, Only:
Block-Based Motion Estimation Speedup for Dynamic Voxelized Point
Clouds,
ICIP18(2964-2968)
IEEE DOI
1809
Point clouds, volumetric media, 3D, motion estimation.
Distortion, Image color analysis,
Shape, Measurement, Motion estimation, Dynamics, Point clouds,
motion estimation
BibRef
Sandri, G.,
de Queiroz, R.L.,
Chou, P.A.,
Compression of Plenoptic Point Clouds,
IP(28), No. 3, March 2019, pp. 1419-1427.
IEEE DOI
1812
BibRef
Earlier:
Compression of Plenoptic Point Clouds Using the Region-Adaptive
Hierarchical Transform,
ICIP18(1153-1157)
IEEE DOI
1809
cameras, data compression, decoding, image coding,
image colour analysis, image representation, interpolation,
image compression.
Face, Color, Transforms, point cloud, plenoptic compression,
virtual reality
BibRef
Pavez, E.,
Girault, B.,
Ortega, A.,
Chou, P.A.,
Region Adaptive Graph Fourier Transform for 3D Point Clouds,
ICIP20(2726-2730)
IEEE DOI
2011
Fourier transforms, Laplace equations, Spatial resolution, Complexity theory,
block transform
BibRef
Peixoto, E.,
Intra-Frame Compression of Point Cloud Geometry Using Dyadic
Decomposition,
SPLetters(27), 2020, pp. 246-250.
IEEE DOI
2002
Point clouds, intra coder, lossless coding, arithmetic coding
BibRef
Freitas, D.R.[Davi R.],
Peixoto, E.[Eduardo],
de Queiroz, R.L.[Ricardo L.],
Medeiros, E.[Edil],
Lossy Point Cloud Geometry Compression Via Dyadic Decomposition,
ICIP20(2731-2735)
IEEE DOI
2011
Geometry, Encoding, Octrees, Bit rate,
Binary trees, Transform coding, Point clouds, lossy coding, intra coder
BibRef
Mekuria, R.,
Blom, K.,
Cesar, P.,
Design, Implementation, and Evaluation of a Point Cloud Codec for
Tele-Immersive Video,
CirSysVideo(27), No. 4, April 2017, pp. 828-842.
IEEE DOI
1704
Codecs
BibRef
Gu, S.,
Hou, J.,
Zeng, H.,
Yuan, H.,
Ma, K.,
3D Point Cloud Attribute Compression Using Geometry-Guided Sparse
Representation,
IP(29), No. 1, 2020, pp. 796-808.
IEEE DOI
1910
Image coding, Transforms,
Image color analysis, Redundancy, Entropy coding, 3D point cloud,
entropy coding
BibRef
Gu, S.,
Hou, J.,
Zeng, H.,
Yuan, H.,
3D Point Cloud Attribute Compression via Graph Prediction,
SPLetters(27), 2020, pp. 176-180.
IEEE DOI
2002
3D point cloud, compression, prediction, graph structure
BibRef
Chou, P.A.,
Koroteev, M.,
Krivokuca, M.,
A Volumetric Approach to Point Cloud Compression: Part I: Attribute
Compression,
IP(29), 2020, pp. 2203-2216.
IEEE DOI
2001
Image coding, Geometry, Transforms,
Octrees, Splines (mathematics), Hilbert space, Bézier volumes,
counting measure
BibRef
Krivokuca, M.,
Chou, P.A.,
Koroteev, M.,
A Volumetric Approach to Point Cloud Compression Part II: Geometry
Compression,
IP(29), 2020, pp. 2217-2229.
IEEE DOI
2001
Bézier volumes, B-splines, wavelets, point cloud compression,
geometry coding, shape coding, multiresolution representations,
graph signal processing
BibRef
Zhu, W.,
Ma, Z.,
Xu, Y.,
Li, L.,
Li, Z.,
View-Dependent Dynamic Point Cloud Compression,
CirSysVideo(31), No. 2, February 2021, pp. 765-781.
IEEE DOI
2102
Image reconstruction, Video coding, Quality of experience,
patch-based local projection
BibRef
Gao, S.,
Zhang, Y.,
Liu, D.,
Xiong, Z.,
Volumetric End-to-End Optimized Compression for Brain Images,
VCIP20(503-506)
IEEE DOI
2102
Image coding, Solid modeling,
Brain modeling, Context modeling,
convolutional long short-term memory
BibRef
Cao, C.[Chao],
Preda, M.[Marius],
Zakharchenko, V.[Vladyslav],
Jang, E.S.[Euee S.],
Zaharia, T.[Titus],
Compression of Sparse and Dense Dynamic Point Clouds:
Methods and Standards,
PIEEE(109), No. 9, September 2021, pp. 1537-1558.
IEEE DOI
2108
Image color analysis, Octrees,
Transform coding, Encoding, Computer graphics, Image coding,
standards
BibRef
Ramalho, E.[Evaristo],
Peixoto, E.[Eduardo],
Medeiros, E.[Edil],
Silhouette 4D With Context Selection:
Lossless Geometry Compression of Dynamic Point Clouds,
SPLetters(28), 2021, pp. 1660-1664.
IEEE DOI
2109
Image coding, Encoding,
Transform coding, Signal processing algorithms, Codecs, Geometry,
arithmetic coding
BibRef
Zhu, W.J.[Wen-Jie],
Xu, Y.L.[Yi-Ling],
Ding, D.D.[Dan-Dan],
Ma, Z.[Zhan],
Nilsson, M.[Mike],
Lossy Point Cloud Geometry Compression via Region-Wise Processing,
CirSysVideo(31), No. 12, December 2021, pp. 4575-4589.
IEEE DOI
2112
Geometry, Octrees, Encoding, Transforms,
Surface treatment, Transform coding, Point cloud geometry,
region compression
BibRef
Wang, J.Q.[Jian-Qiang],
Zhu, H.[Hao],
Liu, H.J.[Hao-Jie],
Ma, Z.[Zhan],
Lossy Point Cloud Geometry Compression via End-to-End Learning,
CirSysVideo(31), No. 12, December 2021, pp. 4909-4923.
IEEE DOI
2112
Image coding, Geometry,
Transform coding, Octrees, Transforms,
end-to-end learning
BibRef
Hu, Y.Y.[Yue-Yu],
Yang, W.H.[Wen-Han],
Ma, Z.[Zhan],
Liu, J.Y.[Jia-Ying],
Learning End-to-End Lossy Image Compression: A Benchmark,
PAMI(44), No. 8, August 2022, pp. 4194-4211.
IEEE DOI
2207
Image coding, Benchmark testing, Entropy, Rate-distortion, Codecs,
Transforms, Transform coding, Machine learning, image compression,
transform coding
BibRef
Gao, L.Y.[Lin-Yao],
Fan, T.Y.[Ting-Yu],
Wan, J.Q.[Jian-Qiang],
Xu, Y.L.[Yi-Ling],
Sun, J.[Jun],
Ma, Z.[Zhan],
Point Cloud Geometry Compression Via Neural Graph Sampling,
ICIP21(3373-3377)
IEEE DOI
2201
Geometry, Convolutional codes, Measurement, Image coding,
Transform coding, Euclidean distance, Point cloud geometry (PCG),
point-wise convolution
BibRef
Nguyen, D.T.[Dat Thanh],
Quach, M.[Maurice],
Valenzise, G.[Giuseppe],
Duhamel, P.[Pierre],
Lossless Coding of Point Cloud Geometry Using a Deep Generative Model,
CirSysVideo(31), No. 12, December 2021, pp. 4617-4629.
IEEE DOI
2112
Octrees, Geometry, Image coding,
Encoding, Context modeling, Convolutional codes,
arithmetic coding
BibRef
Nguyen, D.T.[Dat Thanh],
Kaup, A.[André],
Learning-Based Lossless Point Cloud Geometry Coding Using Sparse
Tensors,
ICIP22(2341-2345)
IEEE DOI
2211
Point cloud compression, Geometry, Image coding, Tensors,
Convolution, Computational modeling, Point Cloud,
SparseVoxelDNN
BibRef
Song, F.[Fei],
Shao, Y.T.[Yi-Ting],
Gao, W.[Wei],
Wang, H.Q.[Hai-Qiang],
Li, T.[Thomas],
Layer-Wise Geometry Aggregation Framework for Lossless LiDAR Point
Cloud Compression,
CirSysVideo(31), No. 12, December 2021, pp. 4603-4616.
IEEE DOI
2112
Geometry, Octrees, Laser radar,
Correlation, Adaptation models, Entropy coding, Layer-wise,
LiDAR point cloud
BibRef
Zhang, X.[Xiang],
Gao, W.[Wen],
Adaptive Geometry Partition for Point Cloud Compression,
CirSysVideo(31), No. 12, December 2021, pp. 4561-4574.
IEEE DOI
2112
Encoding, Geometry, Standards,
Transform coding, Video coding, Image coding,
binary-tree partition
BibRef
Hooda, R.[Reetu],
Pan, W.D.[W. David],
Early Termination of Dyadic Region-Adaptive Hierarchical Transform
for Efficient Attribute Compression of 3D Point Clouds,
SPLetters(29), 2022, pp. 214-218.
IEEE DOI
2202
Point cloud compression, Transforms,
Transform coding, Image edge detection, Switches, Standards,
Dyadic RAHT
BibRef
Deng, Q.W.[Qin-Wen],
Zhang, S.Y.[Song-Yang],
Ding, Z.[Zhi],
An Efficient Hypergraph Approach to Robust Point Cloud Resampling,
IP(31), 2022, pp. 1924-1937.
IEEE DOI
2202
Point cloud compression, Kernel, Convolution, Filtering,
Feature extraction, Surface treatment,
virtual reality
BibRef
Liu, H.[Hao],
Yuan, H.[Hui],
Liu, Q.[Qi],
Hou, J.H.[Jun-Hui],
Zeng, H.Q.[Huan-Qiang],
Kwong, S.[Sam],
A Hybrid Compression Framework for Color Attributes of Static 3D
Point Clouds,
CirSysVideo(32), No. 3, March 2022, pp. 1564-1577.
IEEE DOI
2203
Image coding, Geometry, Image color analysis,
Discrete cosine transforms, Octrees, 3D point clouds,
rate distortion optimization
BibRef
Wang, T.[Taiyu],
Li, F.[Fan],
Cosman, P.C.[Pamela C.],
Learning-Based Rate Control for Video-Based Point Cloud Compression,
IP(31), 2022, pp. 2175-2189.
IEEE DOI
2203
Point cloud compression, Image coding, Geometry, Bit rate,
Streaming media, Resource management,
deep neural network
BibRef
Sheng, X.[Xihua],
Li, L.[Li],
Liu, D.[Dong],
Xiong, Z.W.[Zhi-Wei],
Li, Z.[Zhu],
Wu, F.[Feng],
Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point
Cloud Attributes,
MultMed(24), 2022, pp. 2617-2632.
IEEE DOI
2205
Image coding, Geometry, Transforms,
Convolution, Transform coding, Decoding, Attribute compression,
point cloud compression
BibRef
Tzamarias, D.E.O.[Dion E. O.],
Chow, K.[Kevin],
Blanes, I.[Ian],
Serra-Sagristà, J.[Joan],
Fast Run-Length Compression of Point Cloud Geometry,
IP(31), 2022, pp. 4490-4501.
IEEE DOI
2207
Point cloud compression, Image coding, Geometry, Octrees, Encoding,
Arithmetic, Point cloud geometry compression, context-adaptive encoder
BibRef
Chen, J.F.[Jia-Feng],
Yu, L.[Lu],
Wang, W.[Wenyi],
Hilbert Space Filling Curve Based Scan-Order for Point Cloud
Attribute Compression,
IP(31), 2022, pp. 4609-4621.
IEEE DOI
2207
Point cloud compression, Image coding, Codes, Correlation, Filling,
Transform coding, Point cloud, attribute compression,
correlation preservation
BibRef
Zhao, L.[Lili],
Ma, K.K.[Kai-Kuang],
Liu, Z.[Zhili],
Yin, Q.[Qian],
Chen, J.W.[Jian-Wen],
Real-Time Scene-Aware LiDAR Point Cloud Compression Using Semantic
Prior Representation,
CirSysVideo(32), No. 8, August 2022, pp. 5623-5637.
IEEE DOI
2208
Point cloud compression, Laser radar, Encoding, Geometry,
Image coding, Real-time systems, LiDAR, point cloud compression, real-time
BibRef
Tian, Y.F.[Yi-Fei],
Song, W.[Wei],
Chen, L.[Long],
Fong, S.[Simon],
Sung, Y.[Yunsick],
Kwak, J.[Jeonghoon],
A 3D Object Recognition Method From LiDAR Point Cloud Based on
USAE-BLS,
ITS(23), No. 9, September 2022, pp. 15267-15277.
IEEE DOI
2209
Point cloud compression, Object recognition, Feature extraction,
Solid modeling, Training, Laser radar, 3D object recognition,
unified space autoencoder
BibRef
Herglotz, C.[Christian],
Genser, N.[Nils],
Kaup, A.[André],
Rate-Distortion Optimal Transform Coefficient Selection for
Unoccupied Regions in Video-Based Point Cloud Compression,
CirSysVideo(32), No. 11, November 2022, pp. 7996-8009.
IEEE DOI
2211
Point cloud compression, Videos, Encoding, Extrapolation, Transforms,
Geometry, Image coding, Coding, HEVC, unoccupied pixels, V-PCC
BibRef
Zhang, Z.C.[Zi-Cheng],
Sun, W.[Wei],
Min, X.K.[Xiong-Kuo],
Wang, T.[Tao],
Lu, W.[Wei],
Zhai, G.T.[Guang-Tao],
No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh
Models,
CirSysVideo(32), No. 11, November 2022, pp. 7618-7631.
IEEE DOI
2211
Solid modeling, Measurement, Feature extraction,
Point cloud compression, Computational modeling,
natural scene statistics
BibRef
Lei, J.J.[Jian-Jun],
Song, J.[Jiahui],
Peng, B.[Bo],
Li, W.Q.[Wan-Qing],
Pan, Z.Q.[Zhao-Qing],
Huang, Q.M.[Qing-Ming],
C2FNet: A Coarse-to-Fine Network for Multi-View 3D Point Cloud
Generation,
IP(31), 2022, pp. 6707-6718.
IEEE DOI
2211
Point cloud compression, Solid modeling, Strain,
Feature extraction, Shape, Deep learning,
global guidance
BibRef
Dinesh, C.[Chinthaka],
Cheung, G.[Gene],
Bajic, I.V.[Ivan V.],
Point Cloud Sampling via Graph Balancing and Gershgorin Disc
Alignment,
PAMI(45), No. 1, January 2023, pp. 868-886.
IEEE DOI
2212
Laplace equations, Signal processing algorithms,
Symmetric matrices, Eigenvalues and eigenfunctions,
graph Laplacian regularizer
See also Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment.
BibRef
Dinesh, C.[Chinthaka],
Cheung, G.[Gene],
Bagheri, S.[Saghar],
Bajic, I.V.[Ivan V.],
Efficient Signed Graph Sampling via Balancing and Gershgorin Disc
Perfect Alignment,
PAMI(47), No. 4, April 2025, pp. 2330-2348.
IEEE DOI
2503
Laplace equations, Covariance matrices, Sampling methods,
Symmetric matrices, Kernel, Eigenvalues and eigenfunctions,
Gershgorin circle theorem
See also Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment.
BibRef
Dinesh, C.[Chinthaka],
Cheung, G.[Gene],
Wang, F.[Fen],
Bajic, I.V.[Ivan V.],
Sampling of 3D Point Cloud Via Gershgorin Disc Alignment,
ICIP20(2736-2740)
IEEE DOI
2011
Laplace equations, Image resolution,
Eigenvalues and eigenfunctions, Signal resolution, Optimization,
graph signal processing
BibRef
Wei, Z.W.[Zi-Wei],
Niu, B.[Benben],
Xiao, H.D.[Hao-Dong],
He, Y.[Yun],
Isolated Points Prediction via Deep Neural Network on Point Cloud
Lossless Geometry Compression,
CirSysVideo(33), No. 1, January 2023, pp. 407-420.
IEEE DOI
2301
Point cloud compression, Geometry, Feature extraction, Codes,
Artificial neural networks, Predictive models, Laser radar,
hierarchical feature extraction
BibRef
Yu, Y.G.[You-Guang],
Zhang, W.[Wei],
Li, G.[Ge],
Yang, F.Z.[Fu-Zheng],
A Regularized Projection-Based Geometry Compression Scheme for LiDAR
Point Cloud,
CirSysVideo(33), No. 3, March 2023, pp. 1427-1437.
IEEE DOI
2303
Point cloud compression, Laser radar, Image coding, Spinning,
Transform coding, Geometry, Encoding, LiDAR point cloud,
regularized projection
BibRef
Li, L.[Li],
Li, Z.[Zhu],
Liu, S.[Shan],
Li, H.Q.[Hou-Qiang],
Frame-Level Rate Control for Geometry-Based LiDAR Point Cloud
Compression,
MultMed(25), 2023, pp. 3855-3867.
IEEE DOI
2310
BibRef
Zhang, Y.[Yun],
Ding, K.Q.[Ke-Qin],
Li, N.[Na],
Wang, H.[Hanli],
Huang, X.X.[Xiao-Xia],
Kuo, C.-.C.J.[C.-C. Jay],
Perceptually Weighted Rate Distortion Optimization for Video-Based
Point Cloud Compression,
IP(32), 2023, pp. 5933-5947.
IEEE DOI Code:
WWW Link.
2311
BibRef
Fan, T.Y.[Ting-Yu],
Gao, L.Y.[Lin-Yao],
Xu, Y.L.[Yi-Ling],
Wang, D.[Dong],
Li, Z.[Zhu],
Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud
Compression,
CirSysVideo(33), No. 12, December 2023, pp. 7857-7869.
IEEE DOI
2312
BibRef
Tian, S.J.[Sheng-Jing],
Liu, J.[Jun],
Liu, X.P.[Xiu-Ping],
Toward Class-Agnostic Tracking Using Feature Decorrelation in Point
Clouds,
IP(33), 2024, pp. 682-695.
IEEE DOI
2402
Point cloud compression, Three-dimensional displays,
Target tracking, Object tracking, Task analysis, Shape, Laser radar,
Siamese network
BibRef
Lai, L.[Lvlong],
Chen, J.[Jian],
Wu, Q.Y.[Qing-Yao],
Zero-Shot Single-View Point Cloud Reconstruction via Cross-Category
Knowledge Transferring,
MultMed(26), 2024, pp. 1448-1459.
IEEE DOI
2402
Point cloud compression, Image reconstruction, Training, Knowledge engineering,
Task analysis, Solid modeling, Zero-shot, reconstruction
BibRef
Peng, H.[Hao],
Tong, G.F.[Guo-Feng],
Class-Aware 3D Detector From Point Clouds With Partial Knowledge
Diffusion and Center-Weighted IoU,
CirSysVideo(34), No. 2, February 2024, pp. 1043-1056.
IEEE DOI
2402
Point cloud compression, Feature extraction, Optimization,
Object detection, Location awareness, Detectors, Single-stage,
center-weighted IoU
BibRef
Xie, T.[Tao],
Wang, L.[Li],
Wang, K.[Ke],
Li, R.F.[Rui-Feng],
Zhang, X.Y.[Xin-Yu],
Zhang, H.M.[Hao-Ming],
Yang, L.Q.[Lin-Qi],
Liu, H.P.[Hua-Ping],
Li, J.[Jun],
FARP-Net: Local-Global Feature Aggregation and Relation-Aware
Proposals for 3D Object Detection,
MultMed(26), 2024, pp. 1027-1040.
IEEE DOI
2402
Feature extraction, Proposals, Point cloud compression,
Object detection, Detectors, Noise measurement, point cloud
BibRef
Wu, Y.[Yue],
Liu, J.[JiaMing],
Gong, M.[Maoguo],
Liu, Z.X.[Zhi-Xiao],
Miao, Q.G.[Qi-Guang],
Ma, W.P.[Wen-Ping],
MPCT: Multiscale Point Cloud Transformer With a Residual Network,
MultMed(26), 2024, pp. 3505-3516.
IEEE DOI
2402
Point cloud compression, Transformers, Task analysis, Semantics,
Residual neural networks, Feature extraction
BibRef
Liu, D.Z.[Dai-Zong],
Hu, W.[Wei],
Li, X.[Xin],
Point Cloud Attacks in Graph Spectral Domain:
When 3D Geometry Meets Graph Signal Processing,
PAMI(46), No. 5, May 2024, pp. 3079-3095.
IEEE DOI
2404
Point cloud compression, Spectral analysis, Perturbation methods, Geometry,
Shape, point cloud attack
BibRef
Shen, W.[Wen],
Wei, Z.H.[Zhi-Hua],
Ren, Q.[Qihan],
Zhang, B.B.[Bin-Bin],
Huang, S.K.[Shi-Kun],
Fan, J.Q.[Jia-Qi],
Zhang, Q.[Quanshi],
Interpretable Rotation-Equivariant Quaternion Neural Networks for 3D
Point Cloud Processing,
PAMI(46), No. 5, May 2024, pp. 3290-3304.
IEEE DOI
2404
Neural networks, Point cloud compression, Quaternions, Training,
Feature extraction, quaternion
BibRef
Ak, A.[Ali],
Zerman, E.[Emin],
Quach, M.[Maurice],
Chetouani, A.[Aladine],
Smolic, A.[Aljosa],
Valenzise, G.[Giuseppe],
Callet, P.L.[Patrick Le],
BASICS: Broad Quality Assessment of Static Point Clouds in a
Compression Scenario,
MultMed(26), 2024, pp. 6730-6742.
IEEE DOI
2404
Point cloud compression, Measurement,
Solid modeling, Rendering (computer graphics), dataset
BibRef
Wang, Y.[Yihan],
Wang, Y.F.[Yong-Fang],
Cui, T.[Tengyao],
Fang, Z.J.[Zhi-Jun],
Occupancy map-based low complexity motion prediction for video-based
point cloud compression,
JVCIR(100), 2024, pp. 104110.
Elsevier DOI
2405
Dynamic point cloud compression, Occupancy map, Low complexity,
Motion prediction
BibRef
Chiang, J.C.[Jui-Chiu],
Wu, Y.T.[Yu-Tze],
Hsieh, H.Y.[Hsin-Yun],
Tsai, Y.C.[Yun-Chang],
Enhanced Temporal Consistency for Global Patch Allocation in
Video-Based Point Cloud Compression,
MultMed(26), 2024, pp. 6917-6930.
IEEE DOI
2405
Point cloud compression, Geometry, Encoding, Image coding,
Resource management, Transforms, Global patch allocation,
video-based point cloud compression
BibRef
Stotko, P.[Patrick],
Weinmann, M.[Michael],
Klein, R.[Reinhard],
Incomplete Gamma Kernels: Generalizing Locally Optimal Projection
Operators,
PAMI(46), No. 6, June 2024, pp. 4075-4089.
IEEE DOI
2405
Kernel, Noise reduction, Point cloud compression, Task analysis,
Surface reconstruction, Probabilistic logic, Noise measurement, theory
BibRef
Wang, H.Y.[Hai-Yan],
Tian, Y.L.[Ying-Li],
Sequential Point Clouds: A Survey,
PAMI(46), No. 8, August 2024, pp. 5504-5523.
IEEE DOI
2407
Point cloud compression, Forecasting, Convolution,
Feature extraction, Task analysis, Deep learning, point cloud forecasting
BibRef
Peng, H.Y.[Hao-Yang],
Li, B.[Baopu],
Zhang, B.[Bo],
Chen, X.[Xin],
Chen, T.[Tao],
Zhu, H.Y.[Hong-Yuan],
Multi-View Vision Fusion Network: Can 2D Pre-Trained Model Boost 3D
Point Cloud Data-Scarce Learning?,
CirSysVideo(34), No. 7, July 2024, pp. 5951-5962.
IEEE DOI Code:
WWW Link.
2407
Point cloud compression, Three-dimensional displays,
Solid modeling, Visualization, Task analysis, Feature extraction,
point cloud classification
BibRef
Li, P.P.[Pei-Pei],
Cui, X.[Xing],
Hu, Y.[Yibo],
Zhang, M.[Man],
Yao, T.[Ting],
Mei, T.[Tao],
Bidirectional Knowledge Reconfiguration for Lightweight Point Cloud
Analysis,
MultMed(26), 2024, pp. 7962-7972.
IEEE DOI
2408
Point cloud compression, Transportation, Shape,
Computational modeling, Feature extraction, Analytical models,
earth mover's distance
BibRef
Shen, W.X.[Wen-Xiang],
Zhang, B.Y.[Bao-Ye],
Xu, H.[Hao],
Li, X.H.[Xiao-Han],
Wu, J.[Jun],
Multi-Space Point Geometry Compression With Progressive
Relation-Aware Transformer,
MultMed(26), 2024, pp. 8969-8980.
IEEE DOI
2408
Point cloud compression, Transformers, Decoding, Geometry, Entropy,
Encoding, Cross-attention, point cloud geometry compression, transformer
BibRef
Prazeres, J.[Joao],
Pereira, M.[Manuela],
Pinheiro, A.M.G.[Antonio M.G.],
Quality evaluation of point cloud compression techniques,
SP:IC(128), 2024, pp. 117156.
Elsevier DOI
2409
Point clouds, Quality evaluation, Coding, Machine learning
BibRef
Mu, X.M.[Xing-Ming],
Gao, W.[Wei],
Yuan, H.[Hang],
Wang, S.Z.[Shun-Zhou],
Li, G.[Ge],
Adaptive LPU Decision for Dynamic Point Cloud Compression,
SPLetters(31), 2024, pp. 2370-2374.
IEEE DOI
2410
Point cloud compression, Encoding, Codes, Vectors, Dynamics,
Motion estimation, Accuracy, Dynamic point cloud compression
BibRef
Wang, W.Y.[Wen-Yu],
Ding, G.[Gongchun],
Ding, D.D.[Dan-Dan],
Leveraging occupancy map to accelerate video-based point cloud
compression,
JVCIR(104), 2024, pp. 104292.
Elsevier DOI
2411
V-PCC, H.266/VVC, Fast CU partition, Occupancy map, Machine learning
BibRef
Wang, J.Q.[Jian-Qiang],
Xue, R.X.[Rui-Xiang],
Li, J.X.[Jia-Xin],
Ding, D.D.[Dan-Dan],
Lin, Y.[Yi],
Ma, Z.[Zhan],
A Versatile Point Cloud Compressor Using Universal Multiscale
Conditional Coding: Part II: Attribute,
PAMI(47), No. 1, January 2025, pp. 252-268.
IEEE DOI
2412
Geometry, Point cloud compression, Encoding, Tensors,
Image color analysis, Image coding, Transform coding, Attribute,
point cloud compression
BibRef
Wang, J.Q.[Jian-Qiang],
Xue, R.X.[Rui-Xiang],
Li, J.X.[Jia-Xin],
Ding, D.D.[Dan-Dan],
Lin, Y.[Yi],
Ma, Z.[Zhan],
A Versatile Point Cloud Compressor Using Universal Multiscale
Conditional Coding: Part I: Geometry,
PAMI(47), No. 1, January 2025, pp. 269-287.
IEEE DOI
2412
Point cloud compression, Geometry, Encoding, Tensors,
Spatiotemporal phenomena, Correlation, Transform coding, Attribute,
point cloud compression
BibRef
Zhang, J.T.[Jun-Teng],
Wang, J.Q.[Jian-Qiang],
Ding, D.D.[Dan-Dan],
Ma, Z.[Zhan],
Scalable Point Cloud Attribute Compression,
MultMed(27), 2025, pp. 889-899.
IEEE DOI
2502
Point cloud compression, Image coding, Transform coding,
Image reconstruction, Scalability, Rate-distortion, 3D Point cloud,
MPEG G-PCC
BibRef
Zhan, J.[Jinyu],
Zou, S.Y.[Shi-Yu],
Jiang, W.[Wei],
Zhang, Y.Y.[You-Yuan],
Peng, S.[Suidi],
Wang, Y.[Ying],
Accelerate Point Cloud Structuring for Deep Neural Networks via Fast
Spatial-Searching Tree,
CirSysVideo(35), No. 3, March 2025, pp. 2570-2585.
IEEE DOI Code:
WWW Link.
2503
Point cloud compression, Nearest neighbor methods, Feature extraction,
Circuits and systems, Sampling methods, acceleration
BibRef
Nguyen, D.T.[Dat Thanh],
Zieger, D.[Daniel],
Stamminger, M.[Marc],
Kaup, A.[André],
End-to-End Learned Lossy Dynamic Point Cloud Attribute Compression,
ICIP24(3355-3360)
IEEE DOI
2411
Point cloud compression, Geometry, Image coding, Tensors, Convolution,
Transform coding, Transforms, Dynamic Point Cloud, G-PCC
BibRef
Do, T.T.[Tam Thuc],
Chou, P.A.[Philip A.],
Cheung, G.[Gene],
Learned Nonlinear Predictor for Critically Sampled 3D Point Cloud
Attribute Compression,
ICIP24(3299-3305)
IEEE DOI
2411
Point cloud compression, Training, Image coding, Bit rate,
Transform coding, Rate-distortion
BibRef
Vishwanath, B.[Bharath],
Wang, W.[Wenyi],
Xu, Y.Z.[Ying-Zhan],
Zhang, K.[Kai],
Zhang, L.[Li],
Sample Domain Prediction and Transform Skip for Region Adaptive
Hierarchical Transform in Geometric Point Cloud Compression,
ICIP24(1910-1915)
IEEE DOI
2411
Point cloud compression, Solid modeling, Adaptation models,
Image coding, Transform coding, Transforms, Solids, Point clouds,
sample domain prediction
BibRef
Kathariya, B.[Birendra],
Li, Z.[Zhu],
van der Auwera, G.[Geert],
TSF-NET3D: TSF-NET for 3D Point Cloud Attribute Compression Artifacts
Removal,
ICIP24(3334-3340)
IEEE DOI
2411
Point cloud compression, Video coding, Image coding,
Image color analysis, Convolution, Video compression, point cloud,
multi-scale feature
BibRef
Zhang, Y.T.[Yu-Tong],
Zhao, W.B.[Wen-Bo],
Li, D.X.[Da-Xin],
Jiang, J.J.[Jun-Jun],
Liu, X.M.[Xian-Ming],
Context-Adaptive Entropy Model with Adapters for Lossless Point Cloud
Geometry Compression,
ICIP24(3519-3525)
IEEE DOI
2411
Point cloud compression, Geometry, Adaptation models, Image coding,
Predictive models, Feature extraction, Entropy, Lossless Compression
BibRef
Mari, D.[Daniele],
Guarda, A.F.R.[André F. R.],
Rodrigues, N.M.M.[Nuno M. M.],
Milani, S.[Simone],
Pereira, F.[Fernando],
Point Cloud Geometry Scalable Coding with a Quality-Conditioned
Latents Probability Estimator,
ICIP24(3410-3416)
IEEE DOI
2411
Point cloud compression, Geometry, Visualization, Codecs,
Image coding, Scalability, Transform coding, Point cloud coding,
JPEG PCC standard
BibRef
Liu, J.[Jialun],
Wu, C.M.[Chen-Ming],
Liu, X.[Xinqi],
Liu, X.[Xing],
Wu, J.[Jinbo],
Peng, H.T.[Hao-Tian],
Zhao, C.[Chen],
Feng, H.C.[Hao-Cheng],
Liu, J.T.[Jing-Tuo],
Ding, E.[Errui],
TexOct: Generating Textures of 3D Models with Octree-based Diffusion,
CVPR24(4284-4293)
IEEE DOI
2410
Point cloud compression, Solid modeling, Computational modeling,
Octrees, Noise, Noise reduction
BibRef
Pang, J.H.[Jia-Hao],
Bui, K.[Kevin],
Tian, D.[Dong],
PIVOT-Net: Heterogeneous Point-Voxel-Tree-based Framework for Point
Cloud Compression,
3DV24(1270-1279)
IEEE DOI
2408
Point cloud compression, Transformers, Decoding, Resource management,
Proposals, learning-based compression, voxel transformer
BibRef
Pan, S.H.[Shao-Hui],
Xu, Y.[Yong],
Xu, R.[Ruotao],
PU-SDF: Arbitrary-Scale Uniformly Upsampling Point Clouds via Signed
Distance Functions,
3DV24(1320-1329)
IEEE DOI
2408
Point cloud compression, Training, Deep learning
BibRef
Zheng, J.Q.[Jian-Qiao],
Li, X.Q.[Xue-Qian],
Ramasinghe, S.[Sameera],
Lucey, S.[Simon],
Robust Point Cloud Processing Through Positional Embedding,
3DV24(1403-1412)
IEEE DOI
2408
Point cloud compression, Resistance, Noise, Bandwidth, Transformers,
Robustness, point clouds, positional encoding, point cloud transformers
BibRef
Vu, T.A.[Tuan-Anh],
Sarkar, S.[Srinjay],
Zhang, Z.Y.[Zhi-Yuan],
Hua, B.S.[Binh-Son],
Yeung, S.K.[Sai-Kit],
Test-Time Augmentation for 3D Point Cloud Classification and
Segmentation,
3DV24(1543-1553)
IEEE DOI
2408
Point cloud compression, Deep learning, Surface reconstruction, Systematics,
Shape, Data augmentation, segmentation, point cloud, augmentation
BibRef
Paul, S.[Sneha],
Patterson, Z.[Zachary],
Bouguila, N.[Nizar],
CrossMoCo: Multi-Modal Momentum Contrastive Learning for Point Cloud,
CRV23(273-280)
IEEE DOI Code:
WWW Link.
2406
Point cloud compression, Representation learning, Dictionaries,
Supervised learning, Self-supervised learning,
few-shot learning
BibRef
Sharma, G.[Gulshan],
Gupta, C.[Chetan],
Agarwal, A.[Aastha],
Sharma, L.[Lalit],
Dhall, A.[Abhinav],
Generating Point Cloud Augmentations via Class-Conditioned Diffusion
Model,
VAQuality24(480-488)
IEEE DOI
2404
Point cloud compression, Gaussian noise, Computational modeling,
Semantics, Noise reduction
BibRef
Zhou, Q.Y.[Qing-Yang],
Liu, S.[Shan],
Kuo, C.C.J.[C.C. Jay],
GPCGC: A Green Point Cloud Geometry Coding Method,
ICIP23(480-484)
IEEE DOI
2312
BibRef
Komatsu, O.T.[Otho T.],
Medeiros, E.[Edil],
Alves, L.M.[Lucas M.],
Peixoto, E.[Eduardo],
Multithreaded Algorithms for Lossless Intra Compression of Point
Cloud Geometry Based on the Silhouette 3d Coder,
ICIP23(1880-1884)
IEEE DOI
2312
BibRef
Ma, X.Q.[Xiao-Qi],
Xu, Y.Z.[Ying-Zhan],
Zhang, X.F.[Xin-Feng],
Tang, L.[Lv],
Zhang, K.[Kai],
Zhang, L.[Li],
HM-PCGC: A Human-Machine Balanced Point Cloud Geometry Compression
Scheme,
ICIP23(2265-2269)
IEEE DOI
2312
BibRef
Huang, B.[Bowen],
Ebrahimi, T.[Touradj],
Event Data Stream Compression Based on Point Cloud Representation,
ICIP23(3120-3124)
IEEE DOI
2312
BibRef
Prazeres, J.[Joao],
Rodrigues, R.[Rafael],
Pereira, M.[Manuela],
Pinheiro, A.M.G.[Antonio M. G.],
JPEG Pleno Learning-Based Point Cloud Coding: A Performance Analysis,
ICIP23(1890-1894)
IEEE DOI
2312
BibRef
Tohidi, F.[Faranak],
Paul, M.[Manoranjan],
Dynamic Point Cloud Compression Approach Using Hexahedron
Segmentation,
ICIP23(2070-2074)
IEEE DOI
2312
BibRef
Gao, Y.[Yelang],
Zhang, P.P.[Ping-Ping],
Wang, X.[Xu],
Lossy LiDAR Point Cloud Compression via Cylindrical 3D Convolution
Networks,
ICIP23(3508-3512)
IEEE DOI Code:
WWW Link.
2312
BibRef
Song, R.[Rui],
Fu, C.Y.[Chun-Yang],
Liu, S.[Shan],
Li, G.[Ge],
Efficient Hierarchical Entropy Model for Learned Point Cloud
Compression,
CVPR23(14368-14377)
IEEE DOI
2309
BibRef
Berg, A.[Axel],
Oskarsson, M.[Magnus],
O'Connor, M.[Mark],
Points to Patches:
Enabling the Use of Self-Attention for 3D Shape Recognition,
ICPR22(528-534)
IEEE DOI
2212
Point cloud compression,
Simultaneous localization and mapping, Shape, Pipelines, Transformers
BibRef
Liu, C.[Chang],
Qian, X.Y.[Xiao-Yan],
Qi, X.J.[Xiao-Juan],
Lam, E.Y.[Edmund Y.],
Tan, S.C.[Siew-Chong],
Wong, N.[Ngai],
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal
Attention Point Generator,
ICPR22(1148-1155)
IEEE DOI
2212
Point cloud compression, Geometry,
Limiting, Annotations, Semantics, Training data
BibRef
Xu, Y.Z.[Ying-Zhan],
Zhang, K.[Kai],
Wang, W.[Wenyi],
Zhang, L.[Li],
Bi-Directional Inter-Prediction For Geometry-Based Point Cloud
Compression,
ICIP22(3768-3772)
IEEE DOI
2211
Point cloud compression, Geometry, Optical fibers, Image coding,
Codes, Quantization (signal), point cloud compression, Inter-EM,
hierarchical QP values
BibRef
Prasad, S.[Shitala],
Li, Y.Q.[Yi-Qun],
Lin, D.Y.[Dong-Yun],
Guo, A.[Aiyuan],
Implicit Shape Biased Few-Shot Learning for 3D Object Generalization,
ICIP22(3436-3440)
IEEE DOI
2211
Point cloud compression, Shape, Task analysis, Few-Shot Learning,
3D Object, Data Augmentation, Point Shape
BibRef
Lu, J.Y.[Jing-Yun],
Zhang, W.[Wei],
Yang, L.H.[Li-Hui],
Yang, F.Z.[Fu-Zheng],
Distribution-Driven Predictor Screening For Point Cloud Attribute
Compression,
ICIP22(2966-2970)
IEEE DOI
2211
Point cloud compression, Geometry, Image coding, Graphical models,
Transform coding, Prediction algorithms, Point cloud compression,
geometry-guide
BibRef
Wang, H.[Hewei],
Zhu, B.[Bolun],
Li, Y.J.[Yi-Jie],
Gong, K.W.[Kai-Wen],
Wen, Z.Y.[Zi-Yuan],
Wang, S.F.[Shao-Fan],
Dev, S.[Soumyabrata],
SYGNet: A SVD-YOLO based GhostNet for Real-time Driving Scene Parsing,
ICIP22(2701-2705)
IEEE DOI
2211
Point cloud compression, Codes, Roads, Feature extraction,
Real-time systems, Spatial databases, Data models,
GhostNet
BibRef
Cao, C.[Chao],
Preda, M.[Marius],
Zaharia, T.[Titus],
Affine Transformation-Based Color Compression For Dynamic 3D Point
Clouds,
ICIP22(1556-1560)
IEEE DOI
2211
Point cloud compression, Geometry, Image coding,
Image color analysis, Motion estimation, Transform coding,
affine transformation
BibRef
Guo, T.[Tian],
Yuan, H.[Hui],
Wang, T.T.[Ting-Ting],
Gao, W.[Wei],
Graph Filter-Based Fast Motion Matching for Inter Frame Coding of
MPEG G-PCC,
ICIP22(1151-1155)
IEEE DOI
2211
Point cloud compression, Geometry, Matched filters, Image coding,
Motion estimation, Transform coding, Complexity theory,
G-PCC
BibRef
Wang, Z.C.[Zhi-Chao],
Peng, Q.[Qi],
Li, J.[Jie],
Skip-MLP Network for Point Cloud Classification,
ICIP22(1001-1005)
IEEE DOI
2211
Point cloud compression, Image segmentation, Image coding,
Semantics, Benchmark testing, Robustness, Encoding, Point clouds,
classification
BibRef
Xu, Y.Y.[Yuan-Yi],
Ji, Y.Y.[Yan-Yang],
Huang, S.Y.[Sheng-Yu],
Lin, Z.H.[Zhi-Hao],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
3D-Selfcutmix: Self-Supervised Learning for 3D Point Cloud Analysis,
ICIP22(676-680)
IEEE DOI
2211
Point cloud compression, Training, Solid modeling, Semantics,
Self-supervised learning, Self-supervised learning,
point cloud analysis
BibRef
Mei, G.F.[Guo-Feng],
Huang, X.S.[Xiao-Shui],
Liu, J.[Juan],
Zhang, J.[Jian],
Wu, Q.[Qiang],
Unsupervised Point Cloud Pre-Training Via Contrasting and Clustering,
ICIP22(66-70)
IEEE DOI
2211
Point cloud compression, Solid modeling, Image segmentation,
Annotations, Neural networks, Feature extraction, Point cloud, clustering
BibRef
Chen, Z.[Zhili],
Qian, Z.[Zian],
Wang, S.[Sukai],
Chen, Q.F.[Qi-Feng],
Point Cloud Compression with Sibling Context and Surface Priors,
ECCV22(XXXVIII:744-759).
Springer DOI
2211
BibRef
Wang, S.[Sukai],
Liu, M.[Ming],
Point Cloud Compression with Range Image-Based Entropy Model for
Autonomous Driving,
ECCV22(XXII:323-340).
Springer DOI
2211
BibRef
Cheng, N.[Nuo],
Li, X.H.[Xiao-Han],
Li, H.[Han],
Liu, X.T.[Xiao-Tong],
Luo, C.[Chuanyu],
Lei, S.G.[Sheng-Guang],
Li, P.[Pu],
PASNET: A Self-AdaPtive Point Cloud Sorting APProach to an ImProved
Feature Extraction,
ICIP22(956-960)
IEEE DOI
2211
Point cloud compression, Adaptation models,
Multilayer perceptrons, Benchmark testing, Feature extraction, KITTI
BibRef
Luo, S.T.[Shi-Tong],
Li, J.H.[Jia-Han],
Guan, J.Q.[Jia-Qi],
Su, Y.F.[Yu-Feng],
Cheng, C.R.[Chao-Ran],
Peng, J.[Jian],
Ma, J.Z.[Jian-Zhu],
Equivariant Point Cloud Analysis via Learning Orientations for
Message Passing,
CVPR22(18910-18919)
IEEE DOI
2210
Point cloud compression, Codes, Message passing,
Computational modeling, Transforms, Graph neural networks,
Pose estimation and tracking
BibRef
Yamada, R.[Ryosuke],
Kataoka, H.[Hirokatsu],
Chiba, N.[Naoya],
Domae, Y.[Yukiyasu],
Ogata, T.[Tetsuya],
Point Cloud Pre-training with Natural 3D Structures,
CVPR22(21251-21261)
IEEE DOI
2210
Point cloud compression, Geometry, Training, Annotations,
Supervised learning, Training data, Datasets and evaluation,
Self- semi- meta- Transfer/low-shot/long-tail learning
BibRef
Wang, J.[Jun],
Li, X.L.[Xiao-Long],
Sullivan, A.[Alan],
Abbott, L.[Lynn],
Chen, S.[Siheng],
PointMotionNet:
Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences,
WAD22(4418-4427)
IEEE DOI
2210
Point cloud compression, Laser radar, Convolution,
Motion segmentation, Semantics, Feature extraction
BibRef
Fang, G.C.[Guang-Chi],
Hu, Q.Y.[Qing-Yong],
Wang, H.Y.[Han-Yun],
Xu, Y.L.[Yi-Ling],
Guo, Y.L.[Yu-Lan],
3DAC: Learning Attribute Compression for Point Clouds,
CVPR22(14799-14808)
IEEE DOI
2210
Point cloud compression, Reflectivity, Correlation, Transforms,
Entropy, Robot vision
BibRef
He, Y.[Yun],
Ren, X.[Xinlin],
Tang, D.H.[Dan-Hang],
Zhang, Y.[Yinda],
Xue, X.Y.[Xiang-Yang],
Fu, Y.W.[Yan-Wei],
Density-preserving Deep Point Cloud Compression,
CVPR22(2323-2332)
IEEE DOI
2210
Point cloud compression, Measurement, Geometry, Machine vision,
Design methodology, Rate-distortion, 3D from multi-view and sensors
BibRef
Zhou, X.Y.[Xuan-Yu],
Qi, C.R.[Charles R.],
Zhou, Y.[Yin],
Anguelov, D.[Dragomir],
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding,
CVPR22(17191-17200)
IEEE DOI
2210
Point cloud compression, Solid modeling, Image coding, Laser radar,
Predictive models, Prediction algorithms, RGBD sensors and analytics
BibRef
Kim, S.[Sihyeon],
Lee, S.[Sanghyeok],
Hwang, D.[Dasol],
Lee, J.W.[Jae-Won],
Hwang, S.J.[Seong Jae],
Kim, H.W.J.[Hyun-Woo J.],
Point Cloud Augmentation with Weighted Local Transformations,
ICCV21(528-537)
IEEE DOI
2203
Point cloud compression, Training, Shape, Neural networks, Manuals,
Task analysis, Recognition and classification, Segmentation,
Vision applications and systems
BibRef
Li, X.K.[Xin-Ke],
Chen, Z.R.[Zhi-Rui],
Zhao, Y.[Yue],
Tong, Z.K.[Ze-Kun],
Zhao, Y.B.[Ya-Bang],
Lim, A.[Andrew],
Zhou, J.T.Y.[Joey Tian-Yi],
PointBA: Towards Backdoor Attacks in 3D Point Cloud,
ICCV21(16472-16481)
IEEE DOI
2203
Point cloud compression, Deep learning, Solid modeling, Filtering,
Optimization methods, Inspection, Adversarial learning,
Recognition and classification
BibRef
Sridhara, S.N.[Shashank N.],
Pavez, E.[Eduardo],
Ortega, A.[Antonio],
Cylindrical Coordinates for Lidar Point Cloud Compression,
ICIP21(3083-3087)
IEEE DOI
2201
Geometry, Image coding, Laser radar, Octrees, Transforms,
cylindrical coordinates, octree, voxelization, Li-DAR, RAHT
BibRef
Milani, S.[Simone],
ADAE:
Adversarial Distributed Source Autoencoder for Point Cloud Compression,
ICIP21(3078-3082)
IEEE DOI
2201
Geometry, Training, Image coding, Source coding, Rate-distortion,
Decoding, point cloud compression, adversarial autoencoder,
decoding loss
BibRef
Lazzarotto, D.[Davi],
Alexiou, E.[Evangelos],
Ebrahimi, T.[Touradj],
On Block Prediction for Learning-Based Point Cloud Compression,
ICIP21(3378-3382)
IEEE DOI
2201
Measurement, Visualization, Image coding, Redundancy,
Standardization, Predictive coding, Point cloud compression, auto-encoder
BibRef
Santos, C.[Cristiano],
Gonçalves, M.[Mateus],
Corrêa, G.[Guilherme],
Porto, M.[Marcelo],
Block-Based Inter-Frame Prediction for Dynamic Point Cloud
Compression,
ICIP21(3388-3392)
IEEE DOI
2201
Geometry, Image coding, Heuristic algorithms, Redundancy, Bit rate,
Point Cloud Compression, Inter-frame Prediction, Mode Decision
BibRef
Que, Z.Z.[Zi-Zheng],
Lu, G.[Guo],
Xu, D.[Dong],
VoxelContext-Net: An Octree based Framework for Point Cloud
Compression,
CVPR21(6038-6047)
IEEE DOI
2111
Geometry, Deep learning, Octrees,
Semantics, Benchmark testing, Distortion
BibRef
He, Y.,
Li, G.,
Shao, Y.,
Wang, J.,
Chen, Y.,
Liu, S.,
A point cloud compression framework via spherical projection,
VCIP20(62-65)
IEEE DOI
2102
Image coding, Geometry, Laser radar,
Tools, Transform coding, Codecs, point cloud, lossless compression,
range images
BibRef
Quach, M.,
Valenzise, G.,
Dufaux, F.,
Folding-Based Compression Of Point Cloud Attributes,
ICIP20(3309-3313)
IEEE DOI
2011
Image coding, Distortion, Image analysis, Geometry, Manifolds,
neural network
BibRef
Sandri, G.,
Figueiredo, V.F.,
Chou, P.A.,
de Queiroz, R.,
Point Cloud Compression Incorporating Region of Interest Coding,
ICIP19(4370-4374)
IEEE DOI
1910
Point cloud, region of interest, RAHT
BibRef
Gonçalves, M.,
Agostini, L.,
Palomino, D.,
Porto, M.,
Correa, G.,
Encoding Efficiency and Computational Cost Assessment of
State-Of-The-Art Point Cloud Codecs,
ICIP19(3726-3730)
IEEE DOI
1910
Point cloud compression, encoding efficiency, computational cost, codec
BibRef
Capraro, F.,
Milani, S.,
Rendering-Aware Point Cloud Coding for Mixed Reality Devices,
ICIP19(3706-3710)
IEEE DOI
1910
point cloud coding, spherical coordinates, Unity, octree coding, mixed reality
BibRef
Xu, Y.Q.[Yi-Qun],
Wang, S.S.[Shan-She],
Zhang, X.F.[Xin-Feng],
Wang, S.Q.[Shi-Qi],
Zhang, N.[Nan],
Ma, S.W.[Si-Wei],
Gao, W.[Wen],
Rate-Distortion Optimized Scan for Point Cloud Color Compression,
VCIP17(1-4)
IEEE DOI
1804
computer graphics, image coding, image colour analysis,
image texture, optimisation, rate distortion theory,
color attribute
BibRef
Renault, S.[Sylvain],
Ebner, T.[Thomas],
Feldmann, I.[Ingo],
Schreer, O.[Oliver],
Point cloud compression framework for the web,
IC3D16(1-8)
IEEE DOI
1703
Internet
BibRef
Cohen, R.A.,
Tian, D.,
Vetro, A.,
Attribute compression for sparse point clouds using graph transforms,
ICIP16(1374-1378)
IEEE DOI
1610
Encoding
BibRef
Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Motion and Video Coding: General .