21 citations · 34 across the 4 of their papers we have counts for
4 papers
Robust Semi-supervised Federated Learning for Images Automatic Recognition in Internet of Drones
Zhe Zhang, Shiyao Ma, Zhaohui Yang +5
Air access networks have been recognized as a significant driver of various Internet of Things (IoT) services and applications. In particular, the aerial computing network infrastr…
Multi-View Stereo with Transformer
Jie Zhu, Bo Peng, Wanqing Li +3
This paper proposes a network, referred to as MVSTR, for Multi-View Stereo (MVS). It is built upon Transformer and is capable of extracting dense features with global context and 3…
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design
Zhe Zhang, Shiyao Ma, Jiangtian Nie +4
Federated Learning (FL) allows edge devices (or clients) to keep data locally while simultaneously training a shared high-quality global model. However, current research is general…
3dDepthNet: Point Cloud Guided Depth Completion Network for Sparse Depth and Single Color Image
Rui Xiang, Feng Zheng, Huapeng Su +1
In this paper, we propose an end-to-end deep learning network named 3dDepthNet, which produces an accurate dense depth image from a single pair of sparse LiDAR depth and color imag…