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Semantic Policy Network for Zero-Shot Object Goal Visual Navigation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 11, 页码: 7655-7662
作者:  Zhao, Qianfan;  Zhang, Lu;  He, Bin;  Liu, Zhiyong
Adobe PDF(1888Kb)  |  收藏  |  浏览/下载：150/19  |  提交时间：2023/12/21
Deep learning  path planning  reinforcement learning  vision-based navigation  
TR-GAN: Multi-Session Future MRI Prediction With Temporal Recurrent Generative Adversarial Network 期刊论文
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2022, 卷号: 41, 期号: 8, 页码: 1925-1937
作者:  Fan, Chen-Chen;  Peng, Liang;  Wang, Tian;  Yang, Hongjun;  Zhou, Xiao-Hu;  Ni, Zhen-Liang;  Wang, Guan'an;  Chen, Sheng;  Zhou, Yan-Jie;  Hou, Zeng-Guang
收藏  |  浏览/下载：464/0  |  提交时间：2022/09/19
Magnetic resonance imaging  Generative adversarial networks  Task analysis  Three-dimensional displays  Training  Generators  Data models  Alzheimer's disease  magnetic resonance imaging  generative adversarial network  
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 卷号: 7, 期号: 2, 页码: 1659-1666
作者:  Wei, Wei;  Li, Daheng;  Wang, Peng;  Li, Yiming;  Li, Wanyi;  Luo, Yongkang;  Zhong, Jun
Adobe PDF(3717Kb)  |  收藏  |  浏览/下载：271/14  |  提交时间：2022/03/17
Deep learning in grasping and manipulation  multifingered hands  computer vision for automation  point cloud completion  iterative refinement  
Sparse self-attention aggregation networks for neural sequence slice interpolation 期刊论文
BioData Mining, 2021, 卷号: 14, 期号: 1, 页码: 19
作者:  Wang, Zejin;  Liu, Jing;  Chen, Xi;  Li, Guoqing;  Han, Hua
Adobe PDF(5022Kb)  |  收藏  |  浏览/下载：324/46  |  提交时间：2021/02/18
Slice interpolation  Biological tissue recovery  EM images  Sparse self-attention network  Adaptive style-balance loss  
Bayesian Automatic Model Compression 期刊论文
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, 2020, 卷号: 14, 期号: 4, 页码: 727-736
作者:  Wang, Jiaxing;  Bai, Haoli;  Wu, Jiaxiang;  Cheng, Jian
Adobe PDF(1918Kb)  |  收藏  |  浏览/下载：323/63  |  提交时间：2020/12/04
Quantization  automatic machine learning  model compression  Bayes methods  Mathematical model  Training  Mixture models  Optimization  Machine learning  Bayesian learning  quantizartion  explainability