9 citations · 22 across the 7 of their papers we have counts for
Showing 2017Show all
3 papers · 1 filter
cs.CV2017★ 4 cited
Scene-Specific Pedestrian Detection Based on Parallel Vision
Wenwen Zhang, Kunfeng Wang, Hua Qu +2
As a special type of object detection, pedestrian detection in generic scenes has made a significant progress trained with large amounts of labeled training data manually. While th…
cs.CV2017★ 3 cited
Training and Testing Object Detectors with Virtual Images
Yonglin Tian, Xuan Li, Kunfeng Wang +1
In the area of computer vision, deep learning has produced a variety of state-of-the-art models that rely on massive labeled data. However, collecting and annotating images from th…
cs.CV2017★ 9 cited
The ParallelEye Dataset: Constructing Large-Scale Artificial Scenes for Traffic Vision Research
Xuan Li, Kunfeng Wang, Yonglin Tian +2
Video image datasets are playing an essential role in design and evaluation of traffic vision algorithms. Nevertheless, a longstanding inconvenience concerning image datasets is th…