Artículos de revistas sobre el tema "Modèle voxel"
Crea una cita precisa en los estilos APA, MLA, Chicago, Harvard y otros
Consulte los 50 mejores artículos de revistas para su investigación sobre el tema "Modèle voxel".
Junto a cada fuente en la lista de referencias hay un botón "Agregar a la bibliografía". Pulsa este botón, y generaremos automáticamente la referencia bibliográfica para la obra elegida en el estilo de cita que necesites: APA, MLA, Harvard, Vancouver, Chicago, etc.
También puede descargar el texto completo de la publicación académica en formato pdf y leer en línea su resumen siempre que esté disponible en los metadatos.
Explore artículos de revistas sobre una amplia variedad de disciplinas y organice su bibliografía correctamente.
Zhao, Lin, Siyuan Xu, Liman Liu, Delie Ming y Wenbing Tao. "SVASeg: Sparse Voxel-Based Attention for 3D LiDAR Point Cloud Semantic Segmentation". Remote Sensing 14, n.º 18 (7 de septiembre de 2022): 4471. http://dx.doi.org/10.3390/rs14184471.
Tang, Jiaxiang, Xiaokang Chen, Jingbo Wang y Gang Zeng. "Not All Voxels Are Equal: Semantic Scene Completion from the Point-Voxel Perspective". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 2 (28 de junio de 2022): 2352–60. http://dx.doi.org/10.1609/aaai.v36i2.20134.
He, Qingdong, Zhengning Wang, Hao Zeng, Yi Zeng y Yijun Liu. "SVGA-Net: Sparse Voxel-Graph Attention Network for 3D Object Detection from Point Clouds". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 870–78. http://dx.doi.org/10.1609/aaai.v36i1.19969.
Chen, Yuhong, Weilong Peng, Keke Tang, Asad Khan, Guodong Wei y Meie Fang. "PyraPVConv: Efficient 3D Point Cloud Perception with Pyramid Voxel Convolution and Sharable Attention". Computational Intelligence and Neuroscience 2022 (13 de mayo de 2022): 1–9. http://dx.doi.org/10.1155/2022/2286818.
Li, Guangping, Zuanfang Mo y Bingo Wing-Kuen Ling. "AMFF-Net: An Effective 3D Object Detector Based on Attention and Multi-Scale Feature Fusion". Sensors 23, n.º 23 (22 de noviembre de 2023): 9319. http://dx.doi.org/10.3390/s23239319.
Shuang, Feng, Hanzhang Huang, Yong Li, Rui Qu y Pei Li. "AFE-RCNN: Adaptive Feature Enhancement RCNN for 3D Object Detection". Remote Sensing 14, n.º 5 (27 de febrero de 2022): 1176. http://dx.doi.org/10.3390/rs14051176.
Bourbonne, V., V. Jaouen, M. Rehn, M. Hatt, O. Pradier, D. Visvikis, F. Lucia y U. Schick. "Développement et validation d’un modèle basé sur l’analyse par voxel pour la prédiction de la toxicité pulmonaire aiguë chez les patients pris en charge par arcthérapie volumétrique pour un cancer du poumon localement évolué". Cancer/Radiothérapie 25, n.º 6-7 (octubre de 2021): 736. http://dx.doi.org/10.1016/j.canrad.2021.07.020.
Wang, Yu y Chao Tong. "H2GFormer: Horizontal-to-Global Voxel Transformer for 3D Semantic Scene Completion". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 6 (24 de marzo de 2024): 5722–30. http://dx.doi.org/10.1609/aaai.v38i6.28384.
Guo, Xindong, Yu Sun y Hua Yang. "FF-Net: Feature-Fusion-Based Network for Semantic Segmentation of 3D Plant Point Cloud". Plants 12, n.º 9 (1 de mayo de 2023): 1867. http://dx.doi.org/10.3390/plants12091867.
Peng, Hao, Guofeng Tong, Zheng Li, Yaqi Wang y Yuyuan Shao. "3D object detection combining semantic and geometric features from point clouds". Cobot 1 (12 de enero de 2022): 2. http://dx.doi.org/10.12688/cobot.17433.1.
Zhang, Jing, Da Xu, Yunsong Li, Liping Zhao y Rui Su. "FusionPillars: A 3D Object Detection Network with Cross-Fusion and Self-Fusion". Remote Sensing 15, n.º 10 (22 de mayo de 2023): 2692. http://dx.doi.org/10.3390/rs15102692.
Zhao, Yuekun, Suyun Luo, Xiaoci Huang y Dan Wei. "A Multi-Sensor 3D Detection Method for Small Objects". World Electric Vehicle Journal 15, n.º 5 (10 de mayo de 2024): 210. http://dx.doi.org/10.3390/wevj15050210.
Jiang, Haobin, Junhao Ren y Aoxue Li. "3D Object Detection under Urban Road Traffic Scenarios Based on Dual-Layer Voxel Features Fusion Augmentation". Sensors 24, n.º 11 (21 de mayo de 2024): 3267. http://dx.doi.org/10.3390/s24113267.
Topoliński, Tomasz, Artur Cichański, Adam Mazurkiewicz y Krzysztof Nowicki. "The Relationship between Trabecular Bone Structure Modeling Methods and the Elastic Modulus as Calculated by FEM". Scientific World Journal 2012 (2012): 1–9. http://dx.doi.org/10.1100/2012/827196.
Chen, Hongmei, Haifeng Wang, Zilong Liu, Dongbing Gu y Wen Ye. "HP3D-V2V: High-Precision 3D Object Detection Vehicle-to-Vehicle Cooperative Perception Algorithm". Sensors 24, n.º 7 (28 de marzo de 2024): 2170. http://dx.doi.org/10.3390/s24072170.
Kim, Taeho y Joohee Kim. "Voxel Transformer with Density-Aware Deformable Attention for 3D Object Detection". Sensors 23, n.º 16 (17 de agosto de 2023): 7217. http://dx.doi.org/10.3390/s23167217.
Li, Zheng, Guofeng Tong, Hao Peng y Mingwei Ma. "GAF-RCNN: Grid attention fusion 3D object detection from point cloud". Cobot 2 (21 de febrero de 2023): 3. http://dx.doi.org/10.12688/cobot.17590.1.
Zhu, Yun, Le Hui, Yaqi Shen y Jin Xie. "SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 7 (24 de marzo de 2024): 7811–19. http://dx.doi.org/10.1609/aaai.v38i7.28616.
Zhu, Yuan, Ruidong Xu, Chongben Tao, Hao An, Huaide Wang, Zhipeng Sun y Ke Lu. "DS-Trans: A 3D Object Detection Method Based on a Deformable Spatiotemporal Transformer for Autonomous Vehicles". Remote Sensing 16, n.º 9 (30 de abril de 2024): 1621. http://dx.doi.org/10.3390/rs16091621.
Yan, Xu, Jiantao Gao, Jie Li, Ruimao Zhang, Zhen Li, Rui Huang y Shuguang Cui. "Sparse Single Sweep LiDAR Point Cloud Segmentation via Learning Contextual Shape Priors from Scene Completion". Proceedings of the AAAI Conference on Artificial Intelligence 35, n.º 4 (18 de mayo de 2021): 3101–9. http://dx.doi.org/10.1609/aaai.v35i4.16419.
Xu, Jinfeng, Xianzhi Li, Yuan Tang, Qiao Yu, Yixue Hao, Long Hu y Min Chen. "CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion by Dense Feature Fusion". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 3 (26 de junio de 2023): 3018–26. http://dx.doi.org/10.1609/aaai.v37i3.25405.
Pratt, Sheila R., Anne T. Heintzelman y Susan Ensrud Deming. "The Efficacy of Using the IBM Speech Viewer Vowel Accuracy Module to Treat Young Children With Hearing Impairment". Journal of Speech, Language, and Hearing Research 36, n.º 5 (octubre de 1993): 1063–74. http://dx.doi.org/10.1044/jshr.3605.1063.
Chen, Chen, Zhe Chen, Jing Zhang y Dacheng Tao. "SASA: Semantics-Augmented Set Abstraction for Point-Based 3D Object Detection". Proceedings of the AAAI Conference on Artificial Intelligence 36, n.º 1 (28 de junio de 2022): 221–29. http://dx.doi.org/10.1609/aaai.v36i1.19897.
Lee, Jinho, Geonkyu Bang, Takaya Shimizu, Masato Iehara y Shunsuke Kamijo. "LiDAR-to-Radar Translation Based on Voxel Feature Extraction Module for Radar Data Augmentation". Sensors 24, n.º 2 (16 de enero de 2024): 559. http://dx.doi.org/10.3390/s24020559.
Ning, Yaqian, Jie Cao, Chun Bao y Qun Hao. "DVST: Deformable Voxel Set Transformer for 3D Object Detection from Point Clouds". Remote Sensing 15, n.º 23 (3 de diciembre de 2023): 5612. http://dx.doi.org/10.3390/rs15235612.
Wang, Jiachun, Junkui Song, Yizhe Zhang y Hao Chen. "Design of 3D Display System for Intangible Cultural Heritage Based on Generative Adversarial Network". Scientific Programming 2022 (21 de julio de 2022): 1–12. http://dx.doi.org/10.1155/2022/2944750.
Xie, Liang, Chao Xiang, Zhengxu Yu, Guodong Xu, Zheng Yang, Deng Cai y Xiaofei He. "PI-RCNN: An Efficient Multi-Sensor 3D Object Detector with Point-Based Attentive Cont-Conv Fusion Module". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 12460–67. http://dx.doi.org/10.1609/aaai.v34i07.6933.
Liu, Huaijin, Jixiang Du, Yong Zhang y Hongbo Zhang. "Enhancing Point Features with Spatial Information for Point-Based 3D Object Detection". Scientific Programming 2021 (21 de diciembre de 2021): 1–11. http://dx.doi.org/10.1155/2021/4650660.
Li, Yinhao, Zheng Ge, Guanyi Yu, Jinrong Yang, Zengran Wang, Yukang Shi, Jianjian Sun y Zeming Li. "BEVDepth: Acquisition of Reliable Depth for Multi-View 3D Object Detection". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 2 (26 de junio de 2023): 1477–85. http://dx.doi.org/10.1609/aaai.v37i2.25233.
Chang, Sungho y Sang Chul Lee. "A Comparative Study on the Voxel Values in Alveolar Bones Acquired by MDCT and Newly Developed Dental Dual-Energy CBCT". Sensors 21, n.º 22 (13 de noviembre de 2021): 7552. http://dx.doi.org/10.3390/s21227552.
Liu, Xinqi, Jituo Li y Guodong Lu. "A New Volumetric Fusion Strategy with Adaptive Weight Field for RGB-D Reconstruction". Sensors 20, n.º 15 (3 de agosto de 2020): 4330. http://dx.doi.org/10.3390/s20154330.
Alsadoon, Reem y Trude Heift. "Textual Input Enhancement for Vowel Blindness: A Study with Arabic ESL Learners". Modern Language Journal 99, n.º 1 (marzo de 2015): 57–79. http://dx.doi.org/10.1111/modl.12188.
Wang, Likang, Yue Gong, Qirui Wang, Kaixuan Zhou y Lei Chen. "Flora: Dual-Frequency LOss-Compensated ReAl-Time Monocular 3D Video Reconstruction". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 2 (26 de junio de 2023): 2599–607. http://dx.doi.org/10.1609/aaai.v37i2.25358.
Ashmawy, Mostafa, Ashraf Abou-Khalaf y Raghdaa Mostafa. "Effect of Voxel Size On The Accuracy of Nerve Tracing Module of Cone Beam Computed Tomography Images". Egyptian Dental Journal 63, n.º 3 (1 de julio de 2017): 2403–12. http://dx.doi.org/10.21608/edj.2017.76057.
Liu, Zhe, Xin Zhao, Tengteng Huang, Ruolan Hu, Yu Zhou y Xiang Bai. "TANet: Robust 3D Object Detection from Point Clouds with Triple Attention". Proceedings of the AAAI Conference on Artificial Intelligence 34, n.º 07 (3 de abril de 2020): 11677–84. http://dx.doi.org/10.1609/aaai.v34i07.6837.
ABCHIR, H. y C. BLANCHET. "ON THE COMPUTATION OF THE TURAEV-VIRO MODULE OF A KNOT". Journal of Knot Theory and Its Ramifications 07, n.º 07 (noviembre de 1998): 843–56. http://dx.doi.org/10.1142/s0218216598000437.
Barca, Patrizio, Daniela Marfisi, Chiara Marzi, Sabino Cozza, Stefano Diciotti, Antonio Claudio Traino y Marco Giannelli. "A Voxel-Based Assessment of Noise Properties in Computed Tomography Imaging with the ASiR-V and ASiR Iterative Reconstruction Algorithms". Applied Sciences 11, n.º 14 (16 de julio de 2021): 6561. http://dx.doi.org/10.3390/app11146561.
Wu, Lei, Jiewu Leng y Bingfeng Ju. "Digital Twins-Based Smart Design and Control of Ultra-Precision Machining: A Review". Symmetry 13, n.º 9 (16 de septiembre de 2021): 1717. http://dx.doi.org/10.3390/sym13091717.
Jinming, Chen. "Obstacle Detection Based on 3D Lidar Euclidean Clustering". Applied Science and Innovative Research 5, n.º 3 (8 de noviembre de 2021): p39. http://dx.doi.org/10.22158/asir.v5n3p39.
Zhang, Zhikang, Zhongjie Zhu, Yongqiang Bai, Yiwen Jin y Ming Wang. "Multi-Scale Feature Fusion Point Cloud Object Detection Based on Original Point Cloud and Projection". Electronics 13, n.º 11 (6 de junio de 2024): 2213. http://dx.doi.org/10.3390/electronics13112213.
Zheng, Wenqi, Han Xie, Yunfan Chen, Jeongjin Roh y Hyunchul Shin. "PIFNet: 3D Object Detection Using Joint Image and Point Cloud Features for Autonomous Driving". Applied Sciences 12, n.º 7 (6 de abril de 2022): 3686. http://dx.doi.org/10.3390/app12073686.
Luo, Naisong, Rui Sun, Yuwen Pan, Tianzhu Zhang y Feng Wu. "Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation". Proceedings of the AAAI Conference on Artificial Intelligence 38, n.º 4 (24 de marzo de 2024): 3981–89. http://dx.doi.org/10.1609/aaai.v38i4.28191.
Yoshida, Keisuke, Shijun Pan, Junichi Taniguchi, Satoshi Nishiyama, Takashi Kojima y Md Touhidul Islam. "Airborne LiDAR-assisted deep learning methodology for riparian land cover classification using aerial photographs and its application for flood modelling". Journal of Hydroinformatics 24, n.º 1 (1 de enero de 2022): 179–201. http://dx.doi.org/10.2166/hydro.2022.134.
Yu, Siyang, Si Sun, Wei Yan, Guangshuai Liu y Xurui Li. "A Method Based on Curvature and Hierarchical Strategy for Dynamic Point Cloud Compression in Augmented and Virtual Reality System". Sensors 22, n.º 3 (7 de febrero de 2022): 1262. http://dx.doi.org/10.3390/s22031262.
Cui, Mingyue, Junhua Long, Mingjian Feng, Boyang Li y Huang Kai. "OctFormer: Efficient Octree-Based Transformer for Point Cloud Compression with Local Enhancement". Proceedings of the AAAI Conference on Artificial Intelligence 37, n.º 1 (26 de junio de 2023): 470–78. http://dx.doi.org/10.1609/aaai.v37i1.25121.
Qimin, Xu, Zhao Xin, Liao Longjie, Li Yameng y Li Na. "Efficient and Accurate Vehicle Localization Based on LiDAR Place Recognition". Information Technology and Control 52, n.º 2 (15 de julio de 2023): 562–75. http://dx.doi.org/10.5755/j01.itc.52.2.32690.
Liu, Rongsheng, Xiaowei Liu, Chengfeng Peng, Anping Li y Yong Liao. "Automatic Brain Tumour Subregion Segmentation from Multimodal MRIs Fusing Muti-channel and Spatial Features". Journal of Physics: Conference Series 2449, n.º 1 (1 de marzo de 2023): 012034. http://dx.doi.org/10.1088/1742-6596/2449/1/012034.
Gan, Xingli, Hao Shi, Shan Yang, Yao Xiao y Lu Sun. "MANet: End-to-End Learning for Point Cloud Based on Robust Pointpillar and Multiattention". Wireless Communications and Mobile Computing 2022 (14 de septiembre de 2022): 1–12. http://dx.doi.org/10.1155/2022/6909314.
LUCCONI, GIULIA, CHIARA ROMEO, ROBERTO BONETTI, PATRIZIA CENNI y NICOLETTA SCRITTORI. "DIFFUSION MRI-BASED FIBER TRACKING IN HEALTHY AND BRAIN INJURY PATIENTS: A COMPARISON OF DIFFERENT SOFTWARE TOOLS". Journal of Mechanics in Medicine and Biology 15, n.º 02 (abril de 2015): 1540020. http://dx.doi.org/10.1142/s0219519415400205.
Peng, Zhao, Yu Lu, Yao Xu, Yongzhe Li, Bo Cheng, Ming Ni, Zhi Chen et al. "Development of a GPU-accelerated Monte Carlo dose calculation module for nuclear medicine, ARCHER-NM: demonstration for a PET/CT imaging procedure". Physics in Medicine & Biology 67, n.º 6 (17 de marzo de 2022): 06NT02. http://dx.doi.org/10.1088/1361-6560/ac58dd.