2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2019★ 1 cited
MSDC-Net: Multi-Scale Dense and Contextual Networks for Automated Disparity Map for Stereo Matching
Zhibo Rao, Mingyi He, Yuchao Dai +3
Disparity prediction from stereo images is essential to computer vision applications including autonomous driving, 3D model reconstruction, and object detection. To predict accurat…
cs.CV2019★ 1 cited
Multi-scale Cross-form Pyramid Network for Stereo Matching
Zhidong Zhu, Mingyi He, Yuchao Dai +2
Stereo matching plays an indispensable part in autonomous driving, robotics and 3D scene reconstruction. We propose a novel deep learning architecture, which called CFP-Net, a Cros…
cs.CV2016★ 2 cited
Object Detection via Aspect Ratio and Context Aware Region-based Convolutional Networks
Bo Li, Tianfu Wu, Shuai Shao +2
Jointly integrating aspect ratio and context has been extensively studied and shown performance improvement in traditional object detection systems such as the DPMs. It, however, h…