activity
20182021
most citedPlug & Play Convolutional Regression Tracker for Video Object Detection

1 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

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…

cs.CV2020

Real-time Semantic Segmentation with Context Aggregation Network

Michael Ying Yang, Saumya Kumaar, Ye Lyu +1

With the increasing demand of autonomous systems, pixelwise semantic segmentation for visual scene understanding needs to be not only accurate but also efficient for potential real…

cs.CV20201 cited

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…

cs.CV20191 cited

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…

cs.CV2018

UAVid: A Semantic Segmentation Dataset for UAV Imagery

Ye Lyu, George Vosselman, Guisong Xia +2

Semantic segmentation has been one of the leading research interests in computer vision recently. It serves as a perception foundation for many fields, such as robotics and autonom…