6 citations · 11 across the 5 of their papers we have counts for
5 papers
Toward Learning a Unified Many-to-Many Mapping for Diverse Image Translation
Wenju Xu, Shawn Keshmiri, Guanghui Wang
Image-to-image translation, which translates input images to a different domain with a learned one-to-one mapping, has achieved impressive success in recent years. The success of t…
BPGrad: Towards Global Optimality in Deep Learning via Branch and Pruning
Ziming Zhang, Yuanwei Wu, Guanghui Wang
Understanding the global optimality in deep learning (DL) has been attracting more and more attention recently. Conventional DL solvers, however, have not been developed intentiona…
Vision-based Real-Time Aerial Object Localization and Tracking for UAV Sensing System
Yuanwei Wu, Yao Sui, Guanghui Wang
The paper focuses on the problem of vision-based obstacle detection and tracking for unmanned aerial vehicle navigation. A real-time object localization and tracking strategy from…
Natural Scene Recognition Based on Superpixels and Deep Boltzmann Machines
Jinfu Yang, Jingyu Gao, Guanghui Wang +1
The Deep Boltzmann Machines (DBM) is a state-of-the-art unsupervised learning model, which has been successfully applied to handwritten digit recognition and, as well as object rec…
A Novel Feature Extraction Method for Scene Recognition Based on Centered Convolutional Restricted Boltzmann Machines
Jingyu Gao, Jinfu Yang, Guanghui Wang +1
Scene recognition is an important research topic in computer vision, while feature extraction is a key step of object recognition. Although classical Restricted Boltzmann machines…