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Publication search results
found 329 matches
- 2024
- Md Rayhan Khan, Constantinos L. Zekios, Shubhendu Bhardwaj, Stavros V. Georgakopoulos:
A Deep Learning Convolutional Neural Network for Antenna Near-Field Prediction and Surrogate Modeling. IEEE Access 12: 39737-39747 (2024) - Heather L. Cihak, Zachary P. Kilpatrick:
Multiscale Motion and Deformation of Bumps in Stochastic Neural Fields with Dynamic Connectivity. Multiscale Model. Simul. 22(1): 178-203 (2024) - Tomás Caraballo, Zhang Chen, Lingyu Li:
Convergence and Approximation of Invariant Measures for Neural Field Lattice Models under Noise Perturbation. SIAM J. Appl. Dyn. Syst. 23(1): 358-382 (2024) - K. Seetharaman, M. Vasanthi:
Satellite imagery retrieval based on adaptive Gaussian-Markov random field model with Bayes deep convolutional neural network. Soft Comput. 28(1): 661-684 (2024) - Xiaochen Zhao, Lizhen Wang, Jingxiang Sun, Hongwen Zhang, Jinli Suo, Yebin Liu:
HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Field. ACM Trans. Graph. 43(1): 6:1-6:16 (2024) - Dongdi Zhao, Jianbo Ma, Lu Lu, Jinke Li, Xuan Ji, Lei Zhu, Fuming Fang, Ming Liu, Feijun Jiang:
A unified multichannel far-field speech recognition system: combining neural beamforming with attention based end-to-end model. CoRR abs/2401.02673 (2024) - Guibiao Liao, Kaichen Zhou, Zhenyu Bao, Kanglin Liu, Qing Li:
OV-NeRF: Open-vocabulary Neural Radiance Fields with Vision and Language Foundation Models for 3D Semantic Understanding. CoRR abs/2402.04648 (2024) - Mohamed Amine Kerkouri, Marouane Tliba, Aladine Chetouani, Alessandro Bruno:
Quantization Effects on Neural Networks Perception: How would quantization change the perceptual field of vision models? CoRR abs/2403.09939 (2024) - Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan:
Grounding and Enhancing Grid-based Models for Neural Fields. CoRR abs/2403.20002 (2024) - 2023
- Carlo R. Laing, Oleh E. Omel'chenko:
Periodic solutions in next generation neural field models. Biol. Cybern. 117(4): 259-274 (2023) - Guodong Qi, Xinyu Chen, Guangxi Hu, Peng Zhou, Wenzhong Bao, Ye Lu:
Knowledge-based neural network SPICE modeling for MOSFETs and its application on 2D material field-effect transistors. Sci. China Inf. Sci. 66(2) (2023) - Wen Zhang, Jian Li:
The robust physics-informed neural networks for a typical fourth-order phase field model. Comput. Math. Appl. 140: 64-77 (2023) - Laura R. González-Ramírez:
On the existence of traveling fronts in the fractional-order Amari neural field model. Commun. Nonlinear Sci. Numer. Simul. 116: 106790 (2023) - Yunyang Zhang, Zhiqiang Gong, Weien Zhou, Xiaoyu Zhao, Xiaohu Zheng, Wen Yao:
Multi-fidelity surrogate modeling for temperature field prediction using deep convolution neural network. Eng. Appl. Artif. Intell. 123(Part B): 106354 (2023) - Kazuhiro Fujita:
Impedance modeling of accelerator beams with discontinuous charge density using scattered-field physics-informed neural networks. IEICE Electron. Express 20(3): 20220523 (2023) - Mohammad Rezasefat, James D. Hogan:
A finite element-convolutional neural network model (FE-CNN) for stress field analysis around arbitrary inclusions. Mach. Learn. Sci. Technol. 4(4): 45052 (2023) - Vincent S. C. Chien, Peng Wang, Burkhard Maess, Yonatan I. Fishman, Thomas R. Knösche:
Laminar neural dynamics of auditory evoked responses: Computational modeling of local field potentials in auditory cortex of non-human primates. NeuroImage 281: 120364 (2023) - Adedapo Alabi, Dieter Vanderelst, Ali A. Minai:
Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields. Neural Networks 161: 116-128 (2023) - Xiang Yi, Chaobo Min, Mengchen Shao, Huijie Zheng, Qingfeng Lv:
Low-Light Image Enhancement via Regularized Gaussian Fields Model. Neural Process. Lett. 55(9): 12017-12037 (2023) - Yufeng Xia, Wen Yao, Xiaohu Zheng, Zhiqiang Gong:
Reliability analysis of heat source layout temperature field prediction considering uncertainty in deep neural network surrogate models. Qual. Reliab. Eng. Int. 39(5): 1775-1795 (2023) - Odysseas Bouzos, Ioannis Andreadis, Nikolaos Mitianoudis:
A Convolutional Neural Network-Based Conditional Random Field Model for Structured Multi-Focus Image Fusion Robust to Noise. IEEE Trans. Image Process. 32: 2915-2930 (2023) - Biao Zhang, Jiapeng Tang, Matthias Nießner, Peter Wonka:
3DShape2VecSet: A 3D Shape Representation for Neural Fields and Generative Diffusion Models. ACM Trans. Graph. 42(4): 92:1-92:16 (2023) - Zixia Jia, Zhaohui Yan, Wenjuan Han, Zilong Zheng, Kewei Tu:
Modeling Instance Interactions for Joint Information Extraction with Neural High-Order Conditional Random Field. ACL (1) 2023: 13695-13710 - Anustup Choudhury, Guan-Ming Su, Siddhant Gautam:
Residual Encoding Using Neural Field for Image Sequence Modeling. ACSSC 2023: 1123-1129 - Shangjie Xue, Shuo Cheng, Pujith Kachana, Danfei Xu:
Neural Field Dynamics Model for Granular Object Piles Manipulation. CoRL 2023: 2821-2837 - Zhenyu Zhang, Renwang Chen, Weijian Cao, Ying Tai, Chengjie Wang:
Learning Neural Proto-Face Field for Disentangled 3D Face Modeling in the Wild. CVPR 2023: 382-393 - Jianchuan Chen, Wentao Yi, Liqian Ma, Xu Jia, Huchuan Lu:
GM-NeRF: Learning Generalizable Model-Based Neural Radiance Fields from Multi-View Images. CVPR 2023: 20648-20658 - Jamie Wynn, Daniyar Turmukhambetov:
DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models. CVPR 2023: 4180-4189 - Davi Rabbouni Freitas, Christine Guillemot, Ioan Tabus:
Compression of PlenOctree Model Attributes Enabling Fast Communication and Rendering of Neural Radiance Fields. EUSIPCO 2023: 590-594 - Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, Tony Tung:
NSF: Neural Surface Fields for Human Modeling from Monocular Depth. ICCV 2023: 15004-15014
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