Search results for "gaussians"

Hits ?▲	Authors	Title	Venue	Year	Link	Author keywords
112	Adam Tauman Kalai, Ankur Moitra, Gregory Valiant	Efficiently learning mixtures of two Gaussians.	STOC	2010	DBLP DOI BibTeX RDF	Gaussians, finite mixture models, method of moments
71	Sanjeev Arora, Ravi Kannan	Learning mixtures of arbitrary gaussians.	STOC	2001	DBLP DOI BibTeX RDF	clustering, learning, gaussians, mixture distributions
58	Jon Feldman, Rocco A. Servedio, Ryan O'Donnell	PAC Learning Axis-Aligned Mixtures of Gaussians with No Separation Assumption.	COLT	2006	DBLP DOI BibTeX RDF
58	Sanjoy Dasgupta	Learning Mixtures of Gaussians.	FOCS	1999	DBLP DOI BibTeX RDF	dimensionality reduction, mixture model, Gaussian
54	Dimitris Achlioptas, Frank McSherry	On Spectral Learning of Mixtures of Distributions.	COLT	2005	DBLP DOI BibTeX RDF	learning mixtures of distributions, log-concave and concentrated distributions, singular value decomposition, spectral methods, gaussians mixtures
50	Do Joon Jung, Kyung Su Kwon, Hang Joon Kim	Human Pose Estimation Using a Mixture of Gaussians Based Image Modeling.	HCI (3)	2007	DBLP DOI BibTeX RDF	Human Pose Estimation, Bayesian Network, Mixture of Gaussians
50	Maria Funaro, Maria Marinaro, Alfredo Petrosino, Silvia Scarpetta	Finding Hidden Events in Astrophysical Data using PCA and Mixture of Gaussians Clustering.	Pattern Anal. Appl.	2002	DBLP DOI BibTeX RDF	Astrophysical data, Pixel lensing, Classification, Principal Component Analysis, Data analysis, Mixture of Gaussians
48	Atsushi Shimada, Daisaku Arita, Rin-Ichiro Taniguchi	Dynamic Control of Adaptive Mixture-of-Gaussians Background Model.	AVSS	2006	DBLP DOI BibTeX RDF
43	Manli Zhu, Aleix M. Martínez	Subclass Discriminant Analysis.	IEEE Trans. Pattern Anal. Mach. Intell.	2006	DBLP DOI BibTeX RDF	classification, pattern recognition, Feature extraction, discriminant analysis, mixture of Gaussians, stability criterion, eigenvalue decomposition
41	Jinwen Ma, Qi-Cai He	A Dynamic Merge-or-Split Learning Algorithm on Gaussian Mixture for Automated Model Selection.	IDEAL	2005	DBLP DOI BibTeX RDF
41	Josef Bigün, Tomas Bigun, Kenneth Nilsson	Recognition by Symmetry Derivatives and the Generalized Structure Tensor.	IEEE Trans. Pattern Anal. Mach. Intell.	2004	DBLP DOI BibTeX RDF
40	Avijit Saha, Chuan-lin Wu, Dun-Sung Tang	Approximation, Dimension Reduction, and Nonconvex Optimization Using Linear Superpositions of Gaussians.	IEEE Trans. Computers	1993	DBLP DOI BibTeX RDF	linear superpositions of Gaussians, neural network approaches, optimisation, radial basis function, neural nets, polynomials, function approximation, function approximation, dimension reduction, nonconvex optimization
38	Fida El Baf, Thierry Bouwmans, Bertrand Vachon	Type-2 Fuzzy Mixture of Gaussians Model: Application to Background Modeling.	ISVC (1)	2008	DBLP DOI BibTeX RDF
38	Georgy L. Gimel'farb, Aly A. Farag, Ayman El-Baz	Expectation-Maximization for a Linear Combination of Gaussians.	ICPR (3)	2004	DBLP DOI BibTeX RDF
34	Huan Ling, Seung Wook Kim 0001, Antonio Torralba 0001, Sanja Fidler, Karsten Kreis	Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models.	CoRR	2023	DBLP DOI BibTeX RDF
34	Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther	Sparse Recovery Via Variational Bayesian Inference: Comparing Bernoullis-Gaussians-Inverse Gamma And Gaussians-Inverse Gammas Modeling.	ACSSC	2018	DBLP DOI BibTeX RDF
34	Peihua Li, Hui Zeng, Qilong Wang, Simon C. K. Shiu, Lei Zhang 0006	High-Order Local Pooling and Encoding Gaussians Over a Dictionary of Gaussians.	IEEE Trans. Image Process.	2017	DBLP DOI BibTeX RDF
34	Peder A. Olsen, Karthik Visweswariah	Fast clustering of Gaussians and the virtue of representing Gaussians in exponential model format.	INTERSPEECH	2004	DBLP DOI BibTeX RDF
33	Andrzej Czyzewski, Piotr Dalka	Moving Object Detection and Tracking for the Purpose of Multimodal Surveillance System in Urban Areas.	New Directions in Intelligent Interactive Multimedia	2008	DBLP DOI BibTeX RDF	moving object detection and tracking, Kalman filters, background subtraction, mixture of Gaussians
33	Raluca Borca-Muresan, Sergiu Nedevschi, Florin Maguran	Mixtures of Classifiers for Recognizing Standing and Running Pedestrians.	ICCVG	2008	DBLP DOI BibTeX RDF	Pedestrian recognition, anisotropic gaussians, histogram of gradient orientations, classification
33	Hanzi Wang, David Suter, Konrad Schindler, Chunhua Shen	Adaptive Object Tracking Based on an Effective Appearance Filter.	IEEE Trans. Pattern Anal. Mach. Intell.	2007	DBLP DOI BibTeX RDF	similarity measure, Particle filters, occlusion, visual tracking, color histogram, appearance model, mixture of Gaussians
33	Guo-Qing Wei, Wilfried Brauer, Gerd Hirzinger	Intensity- and Gradient-Based Stereo Matching Using Hierarchical Gaussian Basis Functions.	IEEE Trans. Pattern Anal. Mach. Intell.	1998	DBLP DOI BibTeX RDF	intensity values, hierarchical Gaussians, response difference compensation, deformation, scale-space, Stereo matching, stochastic gradients, ordering constraint, intensity gradients
33	Eero P. Simoncelli, Hany Farid	Steerable Wedge Filters.	ICCV	1995	DBLP DOI BibTeX RDF	Hilbert transforms, mathematical operators, steerable wedge filters, rotation-invariant linear operators, local orientation patterns, 2D Hilbert transforms, orientation response, even-symmetric steerable filters, odd-symmetric steerable filters, spatially asymmetric wedge-like shape, optimal localization, angular components, oriented structures, image processing, symmetry, filtering theory, Gaussians, imagery, image structure, directional derivatives
33	Todd R. Reed, Harry Wechsler	Segmentation of Textured Images and Gestalt Organization Using Spatial/Spatial-Frequency Representations.	IEEE Trans. Pattern Anal. Mach. Intell.	1990	DBLP DOI BibTeX RDF	preattentive vision, Gestalt organization, spatial-frequency representations, difference of Gaussians representation, Gabor representation, Wigner distribution, joint resolution, clustering, pattern recognition, pattern recognition, statistics, grouping, texture segmentation, early vision, textured images, low-level vision, spectrogram
31	Zhiwu Lu 0001, Yuxin Peng	A Semi-supervised Learning Algorithm on Gaussian Mixture with Automatic Model Selection.	Neural Process. Lett.	2008	DBLP DOI BibTeX RDF	Entropy regularization, Semi-supervised learning, Model selection, Gaussian mixture, Pairwise constraints
31	Zhiwu Lu 0001	Entropy Regularized Likelihood Learning on Gaussian Mixture: Two Gradient Implementations for Automatic Model Selection.	Neural Process. Lett.	2007	DBLP DOI BibTeX RDF	model selection, Gaussian mixture, competitive learning, regularization theory
31	Debjit Sinha, Hai Zhou 0001, Narendra V. Shenoy	Advances in Computation of the Maximum of a Set of Gaussian Random Variables.	IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.	2007	DBLP DOI BibTeX RDF
31	Zhiwu Lu 0001, Jinwen Ma	A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection.	ISNN (1)	2006	DBLP DOI BibTeX RDF
31	Qi Zang, Reinhard Klette	Robust Background Subtraction and Maintenance.	ICPR (2)	2004	DBLP DOI BibTeX RDF
27	Fei Wang 0002, Tanveer Fathima Syeda-Mahmood, Baba C. Vemuri, David Beymer, Anand Rangarajan 0001	Closed-Form Jensen-Renyi Divergence for Mixture of Gaussians and Applications to Group-Wise Shape Registration.	MICCAI (1)	2009	DBLP DOI BibTeX RDF
27	Gui-Bo Ye, Ding-Xuan Zhou	Learning and approximation by Gaussians on Riemannian manifolds.	Adv. Comput. Math.	2008	DBLP DOI BibTeX RDF	Mathematics Subject Classifications (2000) 68T05, 62J02
27	Asem M. Ali, Aly A. Farag	Density estimation using a new AIC-type criterion and the EM algorithm for a linear combination of Gaussians.	ICIP	2008	DBLP DOI BibTeX RDF
27	Ayman El-Baz, Georgy L. Gimel'farb	EM Based Approximation of Empirical Distributions with Linear Combinations of Discrete Gaussians.	ICIP (4)	2007	DBLP DOI BibTeX RDF
27	Torbjørn Eltoft, Taesu Kim, Te-Won Lee	Multivariate Scale Mixture of Gaussians Modeling.	ICA	2006	DBLP DOI BibTeX RDF
27	Wael Abd-Almageed, Larry S. Davis	Density Estimation Using Mixtures of Mixtures of Gaussians.	ECCV (4)	2006	DBLP DOI BibTeX RDF
27	Christian Böhm 0001, Alexey Pryakhin, Matthias Schubert	Probabilistic Ranking Queries on Gaussians.	SSDBM	2006	DBLP DOI BibTeX RDF
27	Yi Wang 0008, Hujun Yin, Li-Zhu Zhou, Zhi-Qiang Liu	Real-Time Synthesis of 3D Animations by Learning Parametric Gaussians Using Self-Organizing Mixture Networks.	ICONIP (2)	2006	DBLP DOI BibTeX RDF
27	Bing Jian, Baba C. Vemuri	A Robust Algorithm for Point Set Registration Using Mixture of Gaussians.	ICCV	2005	DBLP DOI BibTeX RDF
27	Hichem Snoussi, Ali Mohammad-Djafari	Bayesian Unsupervised Learning for Source Separation with Mixture of Gaussians Prior.	J. VLSI Signal Process.	2004	DBLP DOI BibTeX RDF	HMM models, EM algorithm, Gibbs sampling, source separation
27	Martin Persson, Josef Bigün	Protein Spot Detection by Symmetry Derivatives of Gaussians.	SCIA	2003	DBLP DOI BibTeX RDF
27	Ilyas Potamitis, Nikos Fakotakis, Nikos Liolios, George K. Kokkinakis	Speech Enhancement Using Mixtures of Gaussians for Speech and Noise.	TSD	2002	DBLP DOI BibTeX RDF
27	Vojtech Franc, Václav Hlavác	A Contribution to the Schlesinger's Algorithm Separating Mixtures of Gaussians.	CAIP	2001	DBLP DOI BibTeX RDF	Gaussian separation, pattern recognition
27	J. R. Parker 0001	Simulated Annealing for Fitting Linear Combinations of Gaussians to Data.	Computing	2000	DBLP DOI BibTeX RDF	AMS Subject Classifications: 65C60, 65D17, 90C15
27	Vittorio Sanguineti, Claudio Parodi, Sergio Perissinotto, Francesco Frisone, Paolo Vitali, Pietro Morasso, Guido Rodriguez	Analysis of fMRI Time Series with Mixtures of Gaussians.	IJCNN (1)	2000	DBLP DOI BibTeX RDF
23	Rafael Marcos Luque, Domingo López-Rodríguez, Enrique Mérida Casermeiro, Esteban J. Palomo	Video Object Segmentation with Multivalued Neural Networks.	HIS	2008	DBLP DOI BibTeX RDF	multivalued neural network, video object segmentation, mixture of gaussians
23	Mohand Saïd Allili, Nizar Bouguila, Djemel Ziou	Finite Generalized Gaussian Mixture Modeling and Applications to Image and Video Foreground Segmentation.	CRV	2007	DBLP DOI BibTeX RDF	mixture of General Gaussians (MoGG), image, motion, foreground segmentation, MML
23	Carlos Ordonez 0001, Edward Omiecinski	Accelerating EM clustering to find high-quality solutions.	Knowl. Inf. Syst.	2005	DBLP DOI BibTeX RDF	Clustering, EM algorithm, Maximum likelihood, Mixture of Gaussians
23	Juan I. Nieto 0001, Tim Bailey, Eduardo Mario Nebot	Scan-SLAM: Combining EKF-SLAM and Scan Correlation.	FSR	2005	DBLP DOI BibTeX RDF	Simultaneous localisation and mapping (SLAM), EKF-SLAM, scan correlation, Sum of Gaussians (SoG), observation model
21	Derek Yee, James P. Reilly, Thia Kirubarajan, Kumaradevan Punithakumar	Approximate Conditional Mean Particle Filtering for Linear/Nonlinear Dynamic State Space Models.	IEEE Trans. Signal Process.	2008	DBLP DOI BibTeX RDF
21	Kenneth E. Hild II, Hagai Thomas Attias, Srikantan S. Nagarajan	An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model.	IEEE Trans. Neural Networks	2008	DBLP DOI BibTeX RDF
21	Etienne Côme, Zohra Leila Cherfi, Latifa Oukhellou, Patrice Aknin	Semi-supervised IFA with Prior Knowledge on the Mixing Process: An Application to a Railway Device Diagnosis.	ICMLA	2008	DBLP DOI BibTeX RDF
21	Jesmin F. Khan, Reza R. Adhami, Sharif M. A. Bhuiyan	Unsupervised image segmentation utilizing penalized inverse expectation maximization algorithm.	ICASSP	2008	DBLP DOI BibTeX RDF
21	Jun Cai, Ghazi Bouselmi, Dominique Fohr, Yves Laprie	Dynamic Gaussian selection technique for speeding up HMM-based continuous speech recognition.	ICASSP	2008	DBLP DOI BibTeX RDF
21	Wei Zhang 0025, Q. M. Jonathan Wu, Guanghui Wang 0001	Adaptive semantic Bayesian framework for image attention.	ICPR	2008	DBLP DOI BibTeX RDF
21	Lei Li, Jinwen Ma	A BYY Split-and-Merge EM Algorithm for Gaussian Mixture Learning.	ISNN (1)	2008	DBLP DOI BibTeX RDF	Parameter estimation, EM algorithm, Model selection, Gaussian mixture, Bayesian Ying-Yang (BYY) harmony learning
21	Jinwen Ma, Lei Li	Automatic Straight Line Detection through Fixed-Point BYY Harmony Learning.	ICIC (1)	2008	DBLP DOI BibTeX RDF	Straight line detection, Automated model selection, Major principal component, Gaussian mixture, Bayesian Ying-Yang (BYY) harmony learning
21	Marco Andreetto, Lihi Zelnik-Manor, Pietro Perona	Non-Parametric Probabilistic Image Segmentation.	ICCV	2007	DBLP DOI BibTeX RDF
21	Christian Böhm 0001, Michael Gruber, Peter Kunath, Alexey Pryakhin, Matthias Schubert	ProVeR: Probabilistic Video Retrieval using the Gauss-Tree.	ICDE	2007	DBLP DOI BibTeX RDF
21	Oren Freifeld, Hayit Greenspan, Jacob Goldberger	Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours.	ISBI	2007	DBLP DOI BibTeX RDF
21	Kun Zhou 0001, Qiming Hou, Minmin Gong, John Snyder, Baining Guo, Heung-Yeung Shum	Fogshop: Real-Time Design and Rendering of Inhomogeneous, Single-Scattering Media.	PG	2007	DBLP DOI BibTeX RDF
21	Sheetal Reddy Pamudurthy, S. Chandrakala 0001, C. Chandra Sekhar	Local Density Estimation based Clustering.	IJCNN	2007	DBLP DOI BibTeX RDF
21	Hayit Greenspan, Amit Ruf, Jacob Goldberger	Constrained Gaussian mixture model framework for automatic segmentation of MR brain images.	IEEE Trans. Medical Imaging	2006	DBLP DOI BibTeX RDF
21	Aly A. Farag, Ayman El-Baz, Georgy L. Gimel'farb	Precise segmentation of multimodal images.	IEEE Trans. Image Process.	2006	DBLP DOI BibTeX RDF
21	Cédric Févotte, Simon J. Godsill	A Bayesian Approach for Blind Separation of Sparse Sources.	IEEE Trans. Speech Audio Process.	2006	DBLP DOI BibTeX RDF
21	Pierre-Marc Jodoin, Max Mignotte, Janusz Konrad	Light and Fast Statistical Motion Detection Method Based on Ergodic Model.	ICIP	2006	DBLP DOI BibTeX RDF
21	Hebert Luchetti Ribeiro, Adilson Gonzaga	Hand Image Segmentation in Video Sequence by GMM: a comparative analysis.	SIBGRAPI	2006	DBLP DOI BibTeX RDF
21	Tony X. Han, Huazhong Ning, Thomas S. Huang	Efficient Nonparametric Belief Propagation with Application to Articulated Body Tracking.	CVPR (1)	2006	DBLP DOI BibTeX RDF
21	Debjit Sinha, Hai Zhou 0001, Narendra V. Shenoy	Advances in Computation of the Maximum of a Set of Random Variables.	ISQED	2006	DBLP DOI BibTeX RDF
21	Paul Green 0001, Jan Kautz, Wojciech Matusik, Frédo Durand	View-dependent precomputed light transport using nonlinear Gaussian function approximations.	SI3D	2006	DBLP DOI BibTeX RDF	reflectance field, real-time rendering, precomputed radiance transfer
21	Andreas Argyriou, Raphael Hauser, Charles A. Micchelli, Massimiliano Pontil	A DC-programming algorithm for kernel selection.	ICML	2006	DBLP DOI BibTeX RDF
21	Joaquín Salas, Pedro Martínez, Jordi Gonzàlez	Background Updating with the Use of Intrinsic Curves.	ICIAR (1)	2006	DBLP DOI BibTeX RDF
21	Kuntal Ghosh, Sandip Sarkar, Kamales Bhaumik	A possible mechanism of zero-crossing detection using the concept of the extended classical receptive field of retinal ganglion cells.	Biol. Cybern.	2005	DBLP DOI BibTeX RDF
21	Scott Axelrod, Vaibhava Goel, Ramesh A. Gopinath, Peder A. Olsen, Karthik Visweswariah	Subspace constrained Gaussian mixture models for speech recognition.	IEEE Trans. Speech Audio Process.	2005	DBLP DOI BibTeX RDF
21	Amit Ruf, Hayit Greenspan, Jacob Goldberger	Tissue Classification of Noisy MR Brain Images Using Constrained GMM.	MICCAI (2)	2005	DBLP DOI BibTeX RDF
21	Ravindran Kannan, Hadi Salmasian, Santosh S. Vempala	The Spectral Method for General Mixture Models.	COLT	2005	DBLP DOI BibTeX RDF
21	Changjiang Yang, Ramani Duraiswami, Nail A. Gumerov, Larry S. Davis	Improved Fast Gauss Transform and Efficient Kernel Density Estimation.	ICCV	2003	DBLP DOI BibTeX RDF
21	Jacob Goldberger, Shiri Gordon, Hayit Greenspan	An Efficient Image Similarity Measure Based on Approximations of KL-Divergence Between Two Gaussian Mixtures.	ICCV	2003	DBLP DOI BibTeX RDF
21	Santosh S. Vempala, Grant Wang	A Spectral Algorithm for Learning Mixtures of Distributions.	FOCS	2002	DBLP DOI BibTeX RDF
21	Datong Chen, Jean-Marc Odobez, Hervé Bourlard	Text Segmentation and Recognition in Complex Background Based on Markov Random Field.	ICPR (4)	2002	DBLP DOI BibTeX RDF
21	Zhuowen Tu, Song Chun Zhu	Parsing Images into Region and Curve Processes.	ECCV (3)	2002	DBLP DOI BibTeX RDF
21	Naonori Ueda, Ryohei Nakano, Zoubin Ghahramani, Geoffrey E. Hinton	Split and Merge EM Algorithm for Improving Gaussian Mixture Density Estimates.	J. VLSI Signal Process.	2000	DBLP DOI BibTeX RDF
21	Takao Furukawa, Jin Gu, Won-Sook Lee, Nadia Magnenat-Thalmann	3D Clothes Modeling from Photo Cloned Human Body.	Virtual Worlds	2000	DBLP DOI BibTeX RDF
21	Juan María Sánchez, Xavier Binefa	Color Normalization for Digital Video Processing.	VISUAL	2000	DBLP DOI BibTeX RDF
21	Brendan J. Frey, Nebojsa Jojic	Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm.	CVPR	1999	DBLP DOI BibTeX RDF
21	Michael E. Leventon, W. Eric L. Grimson	Multi-modal Volume Registration Using Joint Intensity Distributions.	MICCAI	1998	DBLP DOI BibTeX RDF
21	Francine Chen 0001, Lynn Wilcox, Dan S. Bloomberg	A comparison of discrete and continuous hidden Markov models for phrase spotting in text images.	ICDAR	1995	DBLP DOI BibTeX RDF	phrase spotting, state conditional observation probabilities, continuous feature vector, observation distributions, hidden Markov models, hidden Markov models, optical character recognition, image recognition, vector quantization, feature vectors, vector quantisation, text images
21	R. Manmatha	Measuring the Affine Transform Using Gaussian Filters.	ECCV (2)	1994	DBLP DOI BibTeX RDF
17	Yang Liu, He Guan, Chuanchen Luo, Lue Fan, Junran Peng, Zhaoxiang Zhang 0001	CityGaussian: Real-time High-quality Large-Scale Scene Rendering with Gaussians.	CoRR	2024	DBLP DOI BibTeX RDF
17	Yujiao Jiang, Qingmin Liao, Xiaoyu Li, Li Ma, Qi Zhang, Chaopeng Zhang, Zongqing Lu, Ying Shan	UV Gaussians: Joint Learning of Mesh Deformation and Gaussian Textures for Human Avatar Modeling.	CoRR	2024	DBLP DOI BibTeX RDF
17	Haimin Luo, Min Ouyang, Zijun Zhao, Suyi Jiang, Longwen Zhang, Qixuan Zhang, Wei Yang 0034, Lan Xu, Jingyi Yu	GaussianHair: Hair Modeling and Rendering with Light-aware Gaussians.	CoRR	2024	DBLP DOI BibTeX RDF
17	Avinash Paliwal, Wei Ye, Jinhui Xiong, Dmytro Kotovenko, Rakesh Ranjan, Vikas Chandra, Nima Khademi Kalantari	CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians.	CoRR	2024	DBLP DOI BibTeX RDF
17	Yifei Zeng, Yanqin Jiang, Siyu Zhu 0001, Yuanxun Lu, Youtian Lin, Hao Zhu, Weiming Hu, Xun Cao, Yao Yao 0008	STAG4D: Spatial-Temporal Anchored Generative 4D Gaussians.	CoRR	2024	DBLP DOI BibTeX RDF
17	Jiakai Sun, Han Jiao, Guangyuan Li, Zhanjie Zhang, Lei Zhao, Wei Xing	3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos.	CoRR	2024	DBLP DOI BibTeX RDF
17	Tianyi Zhang, Kaining Huang, Weiming Zhi, Matthew Johnson-Roberson	DarkGS: Learning Neural Illumination and 3D Gaussians Relighting for Robotic Exploration in the Dark.	CoRR	2024	DBLP DOI BibTeX RDF
17	Jiaqi Lin, Zhihao Li, Xiao Tang, Jianzhuang Liu, Shiyong Liu, Jiayue Liu, Yangdi Lu, Xiaofei Wu, Songcen Xu, Youliang Yan, Wenming Yang	VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction.	CoRR	2024	DBLP DOI BibTeX RDF
17	Joongho Jo, Hyeongwon Kim, Jongsun Park 0001	Identifying Unnecessary 3D Gaussians using Clustering for Fast Rendering of 3D Gaussian Splatting.	CoRR	2024	DBLP DOI BibTeX RDF
17	Xu Hu, Yuxi Wang, Lue Fan, Junsong Fan, Junran Peng, Zhen Lei, Qing Li 0001, Zhaoxiang Zhang 0001	Semantic Anything in 3D Gaussians.	CoRR	2024	DBLP DOI BibTeX RDF
17	Guangchi Fang, Bing Wang	Mini-Splatting: Representing Scenes with a Constrained Number of Gaussians.	CoRR	2024	DBLP DOI BibTeX RDF
17	Jun Guo, Xiaojian Ma, Yue Fan, Huaping Liu 0001, Qing Li 0066	Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting.	CoRR	2024	DBLP DOI BibTeX RDF
17	Licheng Zhong, Hong-Xing Yu, Jiajun Wu 0001, Yunzhu Li	Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians.	CoRR	2024	DBLP DOI BibTeX RDF