Tan, J.G.[Jin-Gang],
Wang, K.[Kangru],
Chen, L.[Lili],
Zhang, G.H.[Guang-Hui],
Li, J.[Jiamao],
Zhang, X.L.[Xiao-Lin],
HCFS3D: Hierarchical coupled feature selection network for 3D
semantic and instance segmentation,
IVC(109), 2021, pp. 104129.
Elsevier DOI
2105
Point clouds, Semantic segmentation, Instance segmentation,
Feature selection, Mutual assistance, Conditional random fields
BibRef
Karara, G.[Ghizlane],
Hajji, R.[Rafika],
Poux, F.[Florent],
3D Point Cloud Semantic Augmentation: Instance Segmentation of 360°
Panoramas by Deep Learning Techniques,
RS(13), No. 18, 2021, pp. xx-yy.
DOI Link
2109
BibRef
Tan, J.[Jingang],
Chen, L.[Lili],
Wang, K.R.[Kang-Ru],
Li, J.M.[Jia-Mao],
Zhang, X.L.[Xiao-Lin],
SASO: Joint 3D semantic-instance segmentation via multi-scale
semantic association and salient point clustering optimization,
IET-CV(15), No. 5, 2021, pp. 366-379.
DOI Link
2107
BibRef
Liang, P.X.[Pei-Xian],
Zhang, Y.Z.[Yi-Zhe],
Ding, Y.F.[Yi-Fan],
Chen, J.[Jianxu],
Madukoma, C.S.[Chinedu S.],
Weninger, T.[Tim],
Shrout, J.D.[Joshua D.],
Chen, D.Z.[Danny Z.],
H-EMD: A Hierarchical Earth Mover's Distance Method for Instance
Segmentation,
MedImg(41), No. 10, October 2022, pp. 2582-2597.
IEEE DOI
2210
Image segmentation, Semantics, Biomedical imaging, Videos, Earth,
Forestry, Instance segmentation, earth mover's distance, 3D images
BibRef
Chen, F.[Feng],
Wu, F.[Fei],
Gao, G.W.[Guang-Wei],
Ji, Y.[Yimu],
Xu, J.[Jing],
Jiang, G.P.[Guo-Ping],
Jing, X.Y.[Xiao-Yuan],
JSPNet: Learning joint semantic and instance segmentation of point
clouds via feature self-similarity and cross-task probability,
PR(122), 2022, pp. 108250.
Elsevier DOI
2112
Instance semantic segmentation, Point could processing, Multi-task learning
BibRef
Qi, L.[Lu],
Wang, Y.[Yi],
Chen, Y.[Yukang],
Chen, Y.C.[Ying-Cong],
Zhang, X.Y.[Xiang-Yu],
Sun, J.[Jian],
Jia, J.Y.[Jia-Ya],
PointINS: Point-Based Instance Segmentation,
PAMI(44), No. 10, October 2022, pp. 6377-6392.
IEEE DOI
2209
Feature extraction, Detectors, Convolution, Image segmentation,
Semantics, Training, Object detection, Instance segmentation,
single-point feature
BibRef
Wang, X.L.[Xin-Long],
Liu, S.[Shu],
Shen, X.Y.[Xiao-Yong],
Shen, C.H.[Chun-Hua],
Jia, J.Y.[Jia-Ya],
Associatively Segmenting Instances and Semantics in Point Clouds,
CVPR19(4091-4100).
IEEE DOI
2002
BibRef
Jiang, L.[Li],
Zhao, H.S.[Heng-Shuang],
Shi, S.S.[Shao-Shuai],
Liu, S.[Shu],
Fu, C.W.[Chi-Wing],
Jia, J.Y.[Jia-Ya],
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation,
CVPR20(4866-4875)
IEEE DOI
2008
Semantics, Feature extraction,
Task analysis, Space exploration, Proposals
BibRef
Liao, Y.B.[Yong-Bin],
Zhu, H.Y.[Hong-Yuan],
Zhang, Y.G.[Yang-Gang],
Ye, C.G.[Chuang-Guan],
Chen, T.[Tao],
Fan, J.Y.[Jia-Yuan],
Point Cloud Instance Segmentation With Semi-Supervised Bounding-Box
Mining,
PAMI(44), No. 12, December 2022, pp. 10159-10170.
IEEE DOI
2212
BibRef
Earlier: A1, A2, A5, A6, Only:
SPCR: semi-supervised point cloud instance segmentation with
perturbation consistency regularization,
ICIP21(3113-3117)
IEEE DOI
2201
Point cloud compression, Semantics, Proposals,
Perturbation methods, Task analysis, Annotations,
point cloud instance segmentation.
Deep learning, Image segmentation, Force,
Training data, Point cloud, Instance segmentation, Semi-supervised learning
BibRef
He, T.[Tong],
Shen, C.H.[Chun-Hua],
van den Hengel, A.J.[Anton J.],
Dynamic Convolution for 3D Point Cloud Instance Segmentation,
PAMI(45), No. 5, May 2023, pp. 5697-5711.
IEEE DOI
2304
BibRef
Earlier:
DyCo3D: Robust Instance Segmentation of 3D Point Clouds through
Dynamic Convolution,
CVPR21(354-363)
IEEE DOI
2111
Convolution, Point cloud compression,
Task analysis, Feature extraction, Semantics, Robustness, deep learning.
Convolutional codes,
Semantics, Refining, Pipelines, Transformers
BibRef
He, T.[Tong],
Liu, Y.F.[Yi-Fan],
Shen, C.H.[Chun-Hua],
Wang, X.L.[Xin-Long],
Sun, C.M.[Chang-Ming],
Instance-aware Embedding for Point Cloud Instance Segmentation,
ECCV20(XXX: 255-270).
Springer DOI
2010
BibRef
Xv, J.[Jiabin],
Deng, F.[Fei],
3D Point Cloud Instance Segmentation Considering Global Shape Contour
Constraints,
RS(15), No. 20, 2023, pp. 4939.
DOI Link
2310
BibRef
Tao, M.[Manli],
Zhao, C.Y.[Chao-Yang],
Tang, M.[Ming],
Wang, J.Q.[Jin-Qiao],
Objformer: Boosting 3D object detection via instance-wise interaction,
PR(146), 2024, pp. 110061.
Elsevier DOI
2311
3D object detection, Point clouds, Incompletion and occlusion,
Instance-wise interaction
BibRef
Li, Z.X.[Zhi-Xuan],
Ye, W.N.[Wei-Ning],
Jiang, T.T.[Ting-Ting],
Huang, T.J.[Tie-Jun],
GIN: Generative INvariant Shape Prior for Amodal Instance
Segmentation,
MultMed(26), 2024, pp. 3924-3936.
IEEE DOI
2402
BibRef
Earlier:
2D Amodal Instance Segmentation Guided by 3D Shape Prior,
ECCV22(XXIX:165-181).
Springer DOI
2211
Shape, Task analysis, Artificial intelligence, Dictionaries,
Transformers, Knowledge engineering, Amodal perception, shape prior
BibRef
Vu, T.[Thang],
Kim, K.[Kookhoi],
Nguyen, T.[Thanh],
Luu, T.M.[Tung M.],
Kim, J.Y.[Jun-Yeong],
Yoo, C.D.[Chang D.],
Scalable SoftGroup for 3D Instance Segmentation on Point Clouds,
PAMI(46), No. 4, April 2024, pp. 1981-1995.
IEEE DOI
2403
BibRef
Earlier: A1, A2, A4, A3, A6, Only:
SoftGroup for 3D Instance Segmentation on Point Clouds,
CVPR22(2698-2707)
IEEE DOI
2210
Semantics, Point cloud compression, Octrees, Time complexity,
Runtime, Task analysis, Point clouds, point grouping, panoptic segmentation.
Measurement, Codes,
Pattern recognition, Segmentation, grouping and shape analysis
BibRef
Wu, X.D.[Xiao-Dong],
Wang, R.P.[Rui-Ping],
Chen, X.L.[Xi-Lin],
Data-efficient 3D instance segmentation by transferring knowledge
from synthetic scans,
PRL(179), 2024, pp. 151-157.
Elsevier DOI
2403
Point cloud segmentation, Synthetic data, Domain adaptation
BibRef
Du, H.M.[He-Ming],
Yu, X.[Xin],
Hussain, F.[Farookh],
Armin, M.A.[Mohammad Ali],
Petersson, L.[Lars],
Li, W.H.[Wei-Hao],
Weakly-supervised Point Cloud Instance Segmentation with Geometric
Priors,
WACV23(4260-4269)
IEEE DOI
2302
Point cloud compression, Solid modeling, Annotations,
Computational modeling, Semantics, Algorithms: 3D computer vision
BibRef
Sun, W.W.[Wei-Wei],
Rebain, D.[Daniel],
Liao, R.J.[Ren-Jie],
Tankovich, V.[Vladimir],
Yazdani, S.[Soroosh],
Yi, K.M.[Kwang Moo],
Tagliasacchi, A.[Andrea],
NeuralBF: Neural Bilateral Filtering for Top-down Instance
Segmentation on Point Clouds,
WACV23(551-560)
IEEE DOI
2302
Point cloud compression, Image segmentation, Filtering, Pipelines,
Estimation, Proposals, Algorithms: 3D computer vision, Explainable
BibRef
Campagnolo, D.,
Camuffo, E.,
Michieli, U.,
Borin, P.,
Milani, S.,
Giordano, A.,
Fully Automated Scan-to-BIM Via Point Cloud Instance Segmentation,
ICIP23(291-295)
IEEE DOI
2312
BibRef
Al Khatib, S.[Salwa],
Boudjoghra, M.E.[Mohamed El_Amine],
Lahoud, J.[Jean],
Khan, F.S.[Fahad Shahbaz],
3D Instance Segmentation via Enhanced Spatial and Semantic
Supervision,
ICCV23(541-550)
IEEE DOI
2401
BibRef
Zhao, W.G.[Wei-Guang],
Yan, Y.[Yuyao],
Yang, C.[Chaolong],
Ye, J.A.[Jian-An],
Yang, X.[Xi],
Huang, K.[Kaizhu],
Divide and Conquer: 3D Point Cloud Instance Segmentation With
Point-Wise Binarization,
ICCV23(562-571)
IEEE DOI Code:
WWW Link.
2401
BibRef
Lai, X.[Xin],
Yuan, Y.H.[Yu-Hui],
Chu, R.[Ruihang],
Chen, Y.[Yukang],
Hu, H.[Han],
Jia, J.Y.[Jia-Ya],
Mask-Attention-Free Transformer for 3D Instance Segmentation,
ICCV23(3670-3680)
IEEE DOI Code:
WWW Link.
2401
BibRef
Zhang, Y.[Youmin],
Tosi, F.[Fabio],
Mattoccia, S.[Stefano],
Poggi, M.[Matteo],
GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction,
ICCV23(3704-3714)
IEEE DOI
2401
BibRef
Xia, Q.M.[Qi-Ming],
Deng, J.[Jinhao],
Wen, C.[Chenglu],
Wu, H.[Hai],
Shi, S.S.[Shao-Shuai],
Li, X.[Xin],
Wang, C.[Cheng],
CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object
Detection with Very Limited Annotations,
ICCV23(6231-6240)
IEEE DOI Code:
WWW Link.
2401
BibRef
Chen, Y.L.[Yi-Lun],
Yu, Z.[Zhiding],
Chen, Y.[Yukang],
Lan, S.Y.[Shi-Yi],
Anandkumar, A.[Anima],
Jia, J.Y.[Jia-Ya],
Alvarez, J.M.[Jose M.],
FocalFormer3D : Focusing on Hard Instance for 3D Object Detection,
ICCV23(8360-8371)
IEEE DOI Code:
WWW Link.
2401
BibRef
Dong, S.C.[Shi-Chao],
Li, R.[Ruibo],
Wei, J.C.[Jia-Cheng],
Liu, F.[Fayao],
Lin, G.S.[Guo-Sheng],
Collaborative Propagation on Multiple Instance Graphs for 3D Instance
Segmentation with Single-point Supervision,
ICCV23(16619-16628)
IEEE DOI
2401
BibRef
Ngo, T.D.[Tuan Duc],
Hua, B.S.[Binh-Son],
Nguyen, K.[Khoi],
GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using
Gaussian Processes as Pseudo Labelers,
ICCV23(17748-17757)
IEEE DOI Code:
WWW Link.
2401
BibRef
Lu, J.H.[Jia-Hao],
Deng, J.C.[Jia-Cheng],
Wang, C.X.[Chu-Xin],
He, J.F.[Jian-Feng],
Zhang, T.Z.[Tian-Zhu],
Query Refinement Transformer for 3D Instance Segmentation,
ICCV23(18470-18480)
IEEE DOI
2401
BibRef
Shinohara, T.[Takayuki],
YongHe, L.[Li],
Sakamoto, M.[Mitsuteru],
Satoh, T.[Toshiaki],
Building CAD Model Reconstruction from Point Clouds via Instance
Segmentation, Signed Distance Function, and Graph Cut,
SHARP23(1727-1736)
IEEE DOI
2401
BibRef
He, T.[Tong],
Yin, W.[Wei],
Shen, C.H.[Chun-Hua],
van den Hengel, A.J.[Anton J.],
PointInst3D: Segmenting 3D Instances by Points,
ECCV22(III:286-302).
Springer DOI
2211
BibRef
Chibane, J.[Julian],
Engelmann, F.[Francis],
Tran, T.A.[Tuan Anh],
Pons-Moll, G.[Gerard],
Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation using
Bounding Boxes,
ECCV22(XXXI:681-699).
Springer DOI
2211
BibRef
Chu, R.H.[Rui-Hang],
Ye, X.Q.[Xiao-Qing],
Liu, Z.Z.[Zheng-Zhe],
Tan, X.[Xiao],
Qi, X.J.[Xiao-Juan],
Fu, C.W.[Chi-Wing],
Jia, J.Y.[Jia-Ya],
TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D
Instance Segmentation,
CVPR22(1090-1099)
IEEE DOI
2210
Training, Correlation, Semantics, Noise reduction, Data models,
Pattern recognition, Recognition: detection, categorization,
Self- semi- meta- unsupervised learning
BibRef
Liu, K.C.[Kang-Cheng],
Zhao, Y.Z.[Yu-Zhi],
Nie, Q.[Qiang],
Gao, Z.[Zhi],
Chen, B.M.[Ben M.],
Weakly Supervised 3D Scene Segmentation with Region-Level Boundary
Awareness and Instance Discrimination,
ECCV22(XXVIII:37-55).
Springer DOI
2211
BibRef
Dong, S.C.[Shi-Chao],
Lin, G.S.[Guo-Sheng],
Hung, T.Y.[Tzu-Yi],
Learning Regional Purity for Instance Segmentation on 3D Point Clouds,
ECCV22(XXX:56-72).
Springer DOI
2211
BibRef
Ngo, T.[Tuan],
Nguyen, K.[Khoi],
Geodesic-Former: A Geodesic-Guided Few-Shot 3D Point Cloud Instance
Segmenter,
ECCV22(XXIX:561-578).
Springer DOI
2211
BibRef
Wu, Y.Z.[Yi-Zheng],
Shi, M.[Min],
Du, S.[Shuaiyuan],
Lu, H.[Hao],
Cao, Z.G.[Zhi-Guo],
Zhong, W.[Weicai],
3D Instances as 1D Kernels,
ECCV22(XXIX:235-252).
Springer DOI
2211
BibRef
Liu, G.[Guole],
Luo, Y.[Yaoru],
Yang, G.[Ge],
3d Particle Picking in Cryo-Electron Tomograms Using Instance
Segmentation,
ICIP22(2157-2161)
IEEE DOI
2211
Location awareness, Image segmentation, Solid modeling, Tomography,
Task analysis, Signal to noise ratio, Particle picking,
Gaussian-shaped masks
BibRef
Peng, X.D.[Xi-Dong],
Zhu, X.G.[Xin-Ge],
Wang, T.[Tai],
Ma, Y.X.[Yue-Xin],
SIDE: Center-based Stereo 3D Detector with Structure-aware Instance
Depth Estimation,
WACV22(225-234)
IEEE DOI
2202
Costs, Laser radar,
Computational modeling, Estimation, Detectors, Scene Understanding
BibRef
Wang, L.[Luhan],
Zheng, L.H.[Li-Hua],
Wang, M.[Minjuan],
3D Point Cloud Instance Segmentation of Lettuce Based on PartNet,
AgriVision22(1646-1654)
IEEE DOI
2210
Point cloud compression, Training, Image segmentation,
Solid modeling, Pipelines
BibRef
Zhang, B.[Biao],
Wonka, P.[Peter],
Point Cloud Instance Segmentation using Probabilistic Embeddings,
CVPR21(8879-8888)
IEEE DOI
2111
Image segmentation, Uncertainty,
Semantics, Gaussian distribution, Probabilistic logic
BibRef
Cherian, A.[Anoop],
Pais, G.D.[Gonçalo Dias],
Jain, S.[Siddarth],
Marks, T.K.[Tim K.],
Sullivan, A.[Alan],
InSeGAN: A Generative Approach to Segmenting Identical Instances in
Depth Images,
ICCV21(10003-10012)
IEEE DOI
2203
Image segmentation, Codes, Transforms,
Generative adversarial networks, Generators, grouping and shape
BibRef
Chen, S.Y.[Shao-Yu],
Fang, J.M.[Jie-Min],
Zhang, Q.[Qian],
Liu, W.Y.[Wen-Yu],
Wang, X.G.[Xing-Gang],
Hierarchical Aggregation for 3D Instance Segmentation,
ICCV21(15447-15456)
IEEE DOI
2203
Point cloud compression, Codes, Filtering, Benchmark testing,
Proposals, Scene analysis and understanding, Stereo, 3D from multiview and other sensors
BibRef
Liang, Z.H.[Zhi-Hao],
Li, Z.H.[Zhi-Hao],
Xu, S.[Songcen],
Tan, M.K.[Ming-Kui],
Jia, K.[Kui],
Instance Segmentation in 3D Scenes using Semantic Superpoint Tree
Networks,
ICCV21(2763-2772)
IEEE DOI
2203
Representation learning, Uncertainty, Codes, Semantics, Pipelines,
Detection and localization in 2D and 3D, Segmentation, grouping and shape
BibRef
Huang, J.W.[Jing-Wei],
Zhang, Y.F.[Yan-Feng],
Sun, M.W.[Ming-Wei],
PrimitiveNet: Primitive Instance Segmentation with Local Primitive
Embedding under Adversarial Metric,
ICCV21(15323-15333)
IEEE DOI
2203
Point cloud compression, Geometry, Training, Measurement,
Solid modeling, Scene analysis and understanding, Segmentation,
grouping and shape
BibRef
Jiang, H.,
Yan, F.,
Cai, J.,
Zheng, J.,
Xiao, J.,
End-to-End 3D Point Cloud Instance Segmentation Without Detection,
CVPR20(12793-12802)
IEEE DOI
2008
Semantics, Feature extraction,
Training, Task analysis, Clustering algorithms
BibRef
Zhou, D.,
Fang, J.,
Song, X.,
Liu, L.,
Yin, J.,
Dai, Y.,
Li, H.,
Yang, R.,
Joint 3D Instance Segmentation and Object Detection for Autonomous
Driving,
CVPR20(1836-1846)
IEEE DOI
2008
Object detection,
Proposals, Feature extraction, Shape, Semantics
BibRef
Han, L.,
Zheng, T.,
Xu, L.,
Fang, L.,
OccuSeg: Occupancy-Aware 3D Instance Segmentation,
CVPR20(2937-2946)
IEEE DOI
2008
Image segmentation, Feature extraction, Semantics, Proposals, Solid modeling
BibRef
Engelmann, F.,
Bokeloh, M.,
Fathi, A.,
Leibe, B.,
Nießner, M.,
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance
Segmentation,
CVPR20(9028-9037)
IEEE DOI
2008
Proposals, Semantics, Object detection,
Geometry
BibRef
Peng, W.,
Pan, H.,
Liu, H.,
Sun, Y.,
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision
for Autonomous Driving,
CVPR20(13012-13021)
IEEE DOI
2008
Object detection, Laser radar,
Estimation, Cameras, Stereo vision
BibRef
Pham, Q.H.[Quang-Hieu],
Nguyen, T.[Thanh],
Hua, B.S.[Binh-Son],
Roig, G.[Gemma],
Yeung, S.K.[Sai-Kit],
JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds With
Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields,
CVPR19(8819-8828).
IEEE DOI
2002
BibRef
Lahoud, J.,
Ghanem, B.,
Oswald, M.R.,
Pollefeys, M.,
3D Instance Segmentation via Multi-Task Metric Learning,
ICCV19(9255-9265)
IEEE DOI
2004
image reconstruction, image representation, image segmentation,
learning (artificial intelligence), stereo image processing,
Measurement
BibRef
Elich, C.[Cathrin],
Engelmann, F.[Francis],
Kontogianni, T.[Theodora],
Leibe, B.[Bastian],
3D Bird's-Eye-View Instance Segmentation,
GCPR19(48-61).
Springer DOI
1911
BibRef
Arase, K.,
Mukuta, Y.,
Harada, T.,
Rethinking Task and Metrics of Instance Segmentation on 3D Point
Clouds,
GMDL19(4105-4113)
IEEE DOI
2004
computational complexity, image recognition, image segmentation,
pattern clustering, stereo image processing, space complexity,
Instance segmentation
BibRef
Wu, Y.,
Marks, T.,
Cherian, A.,
Chen, S.,
Feng, C.,
Wang, G.,
Sullivan, A.,
Unsupervised Joint 3D Object Model Learning and 6D Pose Estimation
for Depth-Based Instance Segmentation,
R6D19(2777-2786)
IEEE DOI
2004
cameras, image matching, image segmentation, pose estimation,
rendering (computer graphics), solid modelling,
unsupervised learnig
BibRef
Wang, W.,
Yu, R.,
Huang, Q.,
Neumann, U.,
SGPN: Similarity Group Proposal Network for 3D Point Cloud Instance
Segmentation,
CVPR18(2569-2578)
IEEE DOI
1812
Proposals, Image segmentation,
Semantics, Feature extraction
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
The Facet Model for Descriptions .