24 citations · 35 across the 7 of their papers we have counts for
Showing 2019Show all
3 papers · 1 filter
eess.IV2019★ 1 cited
Deep Neural Network for Fast and Accurate Single Image Super-Resolution via Channel-Attention-based Fusion of Orientation-aware Features
Du Chen, Zewei He, Yanpeng Cao +5
Recently, Convolutional Neural Networks (CNNs) have been successfully adopted to solve the ill-posed single image super-resolution (SISR) problem. A commonly used strategy to boost…
cs.CV2019★ 4 cited
Unsupervised Domain Adaptation for Multispectral Pedestrian Detection
Dayan Guan, Xing Luo, Yanpeng Cao +4
Multimodal information (e.g., visible and thermal) can generate robust pedestrian detections to facilitate around-the-clock computer vision applications, such as autonomous driving…
cs.CV2019★ 1 cited
Box-level Segmentation Supervised Deep Neural Networks for Accurate and Real-time Multispectral Pedestrian Detection
Yanpeng Cao, Dayan Guan, Yulun Wu +3
Effective fusion of complementary information captured by multi-modal sensors (visible and infrared cameras) enables robust pedestrian detection under various surveillance situatio…