4 citations · 5 across the 2 of their papers we have counts for
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cs.CV2022★ 1 cited
PLGAN: Generative Adversarial Networks for Power-Line Segmentation in Aerial Images
Rabab Abdelfattah, Xiaofeng Wang, Song Wang
Accurate segmentation of power lines in various aerial images is very important for UAV flight safety. The complex background and very thin structures of power lines, however, make…
cs.CV2020
TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines
Rabab Abdelfattah, Xiaofeng Wang, Song Wang
Accurate detection and segmentation of transmission towers~(TTs) and power lines~(PLs) from aerial images plays a key role in protecting power-grid security and low-altitude UAV sa…
cs.CV2017★ 4 cited
Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition
Shizhong Han, Zibo Meng, Zhiyuan Li +4
Recognizing facial action units (AUs) during spontaneous facial displays is a challenging problem. Most recently, Convolutional Neural Networks (CNNs) have shown promise for facial…