Zhiyu ZHU
City University of Hong Kong
H-index: 10
Asia-Hong Kong
Top articles of Zhiyu ZHU
Segment Any Events via Weighted Adaptation of Pivotal Tokens
2023/12/24
Spatial-temporal enhanced transformer towards multi-frame 3d object detection
arXiv preprint arXiv:2307.00347
2023/7/1
Deep Diversity-Enhanced Feature Representation of Hyperspectral Images
arXiv preprint arXiv:2301.06132
2023/1/15
Global Structure-Aware Diffusion Process for Low-Light Image Enhancement
2023/11/2
Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers
2023
Rank-Enhanced Low-Dimensional Convolution Set for Hyperspectral Image Denoising
arXiv preprint arXiv:2207.04266
2022/7/9
GLENet: Boosting 3D object detectors with generative label uncertainty estimation
arXiv preprint arXiv:2207.02466
2022/7/6
Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
2022
Zhiyu Zhu
H-Index: 3
Junhui Hou
H-Index: 22
Deep Posterior Distribution-based Embedding for Hyperspectral Image Super-resolution
IEEE Transactions on Image Processing
2022/5/30
Learning spatial-angular fusion for compressive light field imaging in a cycle-consistent framework
2021/8
Deep Amended Gradient Descent for Efficient Spectral Reconstruction from Single RGB Images
IEEE Transactions on Computational Imaging
2021/11/2
WDA: an improved Wasserstein distance-based transfer learning fault diagnosis method
Sensors
2021/6/26
Zhiyu Zhu
H-Index: 3
Gaoliang Peng
H-Index: 16
Intelligent Fault Diagnosis Using Limited Data Under Different Working Conditions Based on SEflow Model and Data Augmentation
2021
Semantic-embedded unsupervised spectral reconstruction from single RGB images in the wild
2021
CorrNet3D: Unsupervised end-to-end learning of dense correspondence for 3D point clouds
2021
Deep selective combinatorial embedding and consistency regularization for light field super-resolution
arXiv preprint arXiv:2009.12537
2020/9/26
Hyperspectral Image Super-resolution via Deep Progressive Zero-centric Residual Learning
IEEE Transactions on Image Processing
2021
When residual learning meets dense aggregation: Rethinking the aggregation of deep neural networks
arXiv preprint arXiv:2004.08796
2020/4/19
A novel deep learning method based on attention mechanism for bearing remaining useful life prediction
Applied Soft Computing
2020/1/1
