4 citations · 11 across the 7 of their papers we have counts for
10 papers
Bidirectional Multi-scale Attention Networks for Semantic Segmentation of Oblique UAV Imagery
Ye Lyu, George Vosselman, Gui-Song Xia +1
Semantic segmentation for aerial platforms has been one of the fundamental scene understanding task for the earth observation. Most of the semantic segmentation research focused on…
LGENet: Local and Global Encoder Network for Semantic Segmentation of Airborne Laser Scanning Point Clouds
Yaping Lin, George Vosselman, Yanpeng Cao +1
Interpretation of Airborne Laser Scanning (ALS) point clouds is a critical procedure for producing various geo-information products like 3D city models, digital terrain models and…
Plug & Play Convolutional Regression Tracker for Video Object Detection
Ye Lyu, Michael Ying Yang, George Vosselman +1
Video object detection targets to simultaneously localize the bounding boxes of the objects and identify their classes in a given video. One challenge for video object detection is…
LIP: Learning Instance Propagation for Video Object Segmentation
Ye Lyu, George Vosselman, Gui-Song Xia +1
In recent years, the task of segmenting foreground objects from background in a video, i.e. video object segmentation (VOS), has received considerable attention. In this paper, we…
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection
Dayan Guan, Xing Luo, Yanpeng Cao +4
Multimodal information (e.g., visible and thermal) can generate robust pedestrian detections to facilitate around-the-clock computer vision applications, such as autonomous driving…
Robust object extraction from remote sensing data
Sophie Crommelinck, Mila Koeva, Michael Ying Yang +1
The extraction of object outlines has been a research topic during the last decades. In spite of advances in photogrammetry, remote sensing and computer vision, this task remains c…