Dongming Lu

TL;DR: Unsupervised Cross-space Translation Generative Adversarial Network (called UCTGAN) is presented which mainly consists of three network modules: conditional encoder module, manifold projection module and generation module which are combined to learn one-to-one image mapping between two spaces in an unsupervised way.

TL;DR: In this article, an early warning method and a device for vehicle collision is described, in which the method comprises the following steps: after a vehicle is fired, colliding an early-warning system to begin initializing each parameter, using an OBD information collection module, a sensor information collection, and a GPS information gathering module to collect information of the vehicle, and using an inter-vehicle information exchange module, collecting peripheral vehicle information, sending the information of vehicle to the peripheral vehicles, calculating individualized collision probability according to self state of a driver, and warning the driver

TL;DR: This paper presents a transport traffic estimation method which leverages road network correlation and sparse traffic sampling via the compressive sensing technique to achieve a city-scale traffic estimation with only a small number of probe vehicles, largely reducing the system operating cost.

TL;DR: Wang et al. as mentioned in this paper proposed a deep feature perturbation (DFP) operation, which uses an orthogonal random noise matrix to perturb the deep image feature maps while keeping the original style information unchanged.

TL;DR: In this article, the authors reviewed the present status of telemedicine and its future possibilities and presented a review of the advantages and disadvantages of using tele-medicines.