3 citations · 6 across the 10 of their papers we have counts for
6 papers · 1 filter
Segregation and Context Aggregation Network for Real-time Cloud Segmentation
Yijie Li, Hewei Wang, Jiayi Zhang +5
Cloud segmentation from intensity images is a pivotal task in atmospheric science and computer vision, aiding weather forecasting and climate analysis. Ground-based sky/cloud segme…
Multi-Cali Anything: Dense Feature Multi-Frame Structure-from-Motion for Large-Scale Camera Array Calibration
Jinjiang You, Hewei Wang, Yijie Li +8
Calibrating large-scale camera arrays, such as those in dome-based setups, is time-intensive and typically requires dedicated captures of known patterns. While extrinsics in such a…
CP2M: Clustered-Patch-Mixed Mosaic Augmentation for Aerial Image Segmentation
Yijie Li, Hewei Wang, Jinfeng Xu +4
Remote sensing image segmentation is pivotal for earth observation, underpinning applications such as environmental monitoring and urban planning. Due to the limited annotation dat…
DDUNet: Dual Dynamic U-Net for Highly-Efficient Cloud Segmentation
Yijie Li, Hewei Wang, Jinfeng Xu +4
Cloud segmentation amounts to separating cloud pixels from non-cloud pixels in an image. Current deep learning methods for cloud segmentation suffer from three issues. (a) Constrai…
CPDR: Towards Highly-Efficient Salient Object Detection via Crossed Post-decoder Refinement
Yijie Li, Hewei Wang, Aggelos Katsaggelos
Most of the current salient object detection approaches use deeper networks with large backbones to produce more accurate predictions, which results in a significant increase in co…
UCloudNet: A Residual U-Net with Deep Supervision for Cloud Image Segmentation
Yijie Li, Hewei Wang, Shaofan Wang +3
Recent advancements in meteorology involve the use of ground-based sky cameras for cloud observation. Analyzing images from these cameras helps in calculating cloud coverage and un…