师资队伍

蔡轶珩

电话:

E-mail:caiyiheng@bjut.edu.cn

通讯地址:

1.Kaiqi He, Yiheng Caiet al. Diffusion model assisted multiscale spectral attention net for hyperspectral image super-resolution.IEEE Journal of Selected Topics in Applied Earth Observation and Remote Sensing, 2024,17: 8612-8625.

2.Yiheng Cai, Zijun Yaoet al. Generative Elevation Inpainting: An Efficient Completion Method for Generating High-Resolution Antarctic Bed Topography.IEEE Transactions on Geoscience and Remote Sensing. 2023, 61: 1-17.

3.Yiheng Cai, Fuxing Wanet al. Multi-Branch Deep Neural Network for Bed Topography of Antarctica Super-Resolution: Reasonable Integration of Multiple Remote Sensing Data.Remote Sensing. 2023, 15, 1359.

4.Peng S, Cai Y, Yao Z, et al. Weakly-supervised video anomaly detection via temporal resolution feature learning[J].Applied Intelligence, 2023,53(24): 30607-30625.

5.Jingxian Yang, Yiheng Caiet al. Multi-scale Siamese Prediction Network for Video Anomaly Detection.Signal, Image and Video Processing, 2023,17 (3):671-678.

6.Yiheng Cai, Fuxing Wan, Shaobin Huet al. Accurate Prediction of Ice Surface and Bottom Boundary Based on Multi-scale Feature Fusion Network.Applied Intelligence,2022,52(14): 16370-16381.

7.Jianjun Pan, Yiheng Caiet al. Multiscale residual weakly dense network with attention mechanism for hyperspectral image classification.J. Appl. Remote Sens.,2022,16(3): 034504,1-14.

8.Yiheng Cai, Jiaqi Liuet al.Video anomaly detection with multi-scale feature and temporal information fusion.Neurocomputing.2021, 423: 264-271.

9.Yiheng Cai, Jin Xieet al. Hyperspectral image classification using multi-branch-multi-scale residual fusion network.J. Appl. Remote Sens.2021,15(2), 024512.

10.蔡轶珩,谭美伶等.基于多尺度非对称密集网络的高光谱图像分类方法.电子与信息学报, 2024 ,46 (04): 1448-1457.

11.蔡轶珩,刘天浩,刘嘉琦等.基于双支路的人群视频异常检测算法研究.电子与信息学报,2022,44(7):2496-2503.

12.蔡轶珩,王雪艳等.基于随机森林误分类处理的3D人体姿态估计.自动化学报,2020,46(7):1457-1466.

上一页 [1] [2] [3] [4] [5] [6] [7] [8]