53 citations · 153 across the 8 of their papers we have counts for
8 papers
Anomaly Detection in Aerial Videos with Transformers
Pu Jin, Lichao Mou, Gui-Song Xia +1
Unmanned aerial vehicles (UAVs) are widely applied for purposes of inspection, search, and rescue operations by the virtue of low-cost, large-coverage, real-time, and high-resoluti…
FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification
Pu Jin, Lichao Mou, Yuansheng Hua +2
Unmanned aerial vehicles (UAVs) are now widely applied to data acquisition due to its low cost and fast mobility. With the increasing volume of aerial videos, the demand for automa…
Self-supervised Audiovisual Representation Learning for Remote Sensing Data
Konrad Heidler, Lichao Mou, Di Hu +5
Many current deep learning approaches make extensive use of backbone networks pre-trained on large datasets like ImageNet, which are then fine-tuned to perform a certain task. In r…
MultiScene: A Large-scale Dataset and Benchmark for Multi-scene Recognition in Single Aerial Images
Yuansheng Hua, Lichao Mou, Pu Jin +1
Aerial scene recognition is a fundamental research problem in interpreting high-resolution aerial imagery. Over the past few years, most studies focus on classifying an image into…
Instance segmentation of buildings using keypoints
Qingyu Li, Lichao Mou, Yuansheng Hua +4
Building segmentation is of great importance in the task of remote sensing imagery interpretation. However, the existing semantic segmentation and instance segmentation methods oft…
Cross-Task Transfer for Geotagged Audiovisual Aerial Scene Recognition
Di Hu, Xuhong Li, Lichao Mou +5
Aerial scene recognition is a fundamental task in remote sensing and has recently received increased interest. While the visual information from overhead images with powerful model…
ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos
Lichao Mou, Yuansheng Hua, Pu Jin +1
Along with the increasing use of unmanned aerial vehicles (UAVs), large volumes of aerial videos have been produced. It is unrealistic for humans to screen such big data and unders…
AID++: An Updated Version of AID on Scene Classification
Pu Jin, Gui-Song Xia, Fan Hu +2
Aerial image scene classification is a fundamental problem for understanding high-resolution remote sensing images and has become an active research task in the field of remote sen…