1

Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
Object tracking based on raw event data.
Zhiyu Zhu, Junhui Hou, Xianqiang LYU
PDF Cite Code
Learning Graph-embedded Key-event Back-tracing for Object Tracking in Event Clouds
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
3-d object detection
Yifan Zhang, Qijian Zhang, Zhiyu Zhu, Junhui Hou, Yixuan Yuan
PDF Cite
Learning spatial-angular fusion for compressive light field imaging in a cycle-consistent framework
Light field processing
Xianqiang LYU, Zhiyu Zhu, Mantang Guo, Jing Jin, Junhui Hou, Huanqiang Zeng
PDF Cite
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
Unsupervised spectral reconstruction guided by semantic information
Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang
PDF Cite Code
Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild
CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds
Point cloud correspondence
Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, Ying He
PDF Cite
Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning
a novel method to propergate high-frequency detials to another image.
Zhiyu Zhu, Junhui Hou, Jie Chen, Huanqiang Zeng, Jiantao Zhou
PDF Cite Code
Hyperspectral Image Super-Resolution via Deep Progressive Zero-Centric Residual Learning
When residual learning meets dense aggregation: Rethinking the aggregation of deep neural networks
Backbone design
Zhiyu Zhu, Zhen-Peng Bian, Junhui Hou, Yi Wang, Lap-Pui Chau
PDF Cite
When residual learning meets dense aggregation: Rethinking the aggregation of deep neural networks