activity
20152023
most citedObject Detection in Aerial Images: A Large-Scale Benchmark and Challenges

665 citations · 990 across the 48 of their papers we have counts for

collaborators
Showing 2018Show all

11 papers · 1 filter

cs.CV2018

Security Event Recognition for Visual Surveillance

Michael Ying Yang, Wentong Liao, Chun Yang +2

With rapidly increasing deployment of surveillance cameras, the reliable methods for automatically analyzing the surveillance video and recognizing special events are demanded by d…

cs.CV2018★ 9 cited

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…

cs.CV2018★ 23 cited

Change Detection between Multimodal Remote Sensing Data Using Siamese CNN

Zhenchao Zhang, George Vosselman, Markus Gerke +2

Detecting topographic changes in the urban environment has always been an important task for urban planning and monitoring. In practice, remote sensing data are often available in…

cs.CV2018

Patch-based Evaluation of Dense Image Matching Quality

Zhenchao Zhang, Markus Gerke, George Vosselman +1

Airborne laser scanning and photogrammetry are two main techniques to obtain 3D data representing the object surface. Due to the high cost of laser scanning, we want to explore the…

cs.CV2018★ 18 cited

Fusion of Multispectral Data Through Illumination-aware Deep Neural Networks for Pedestrian Detection

Dayan Guan, Yanpeng Cao, Jun Liang +2

Multispectral pedestrian detection has received extensive attention in recent years as a promising solution to facilitate robust human target detection for around-the-clock applica…

cs.CV2018

Temporally Object-based Video Co-Segmentation

Michael Ying Yang, Matthias Reso, Jun Tang +2

In this paper, we propose an unsupervised video object co-segmentation framework based on the primary object proposals to extract the common foreground object(s) from a given video…