Zhihan Lv

TL;DR: This paper makes a comprehensive evaluation of several local features on the ground truth datasets and shows that SIFT and SURF have a better performance than that of some binary features such as ORB and BRISK.

TL;DR: In this paper , a multiobjective neural evolutionary framework is constructed to balance multiple objectives and complete complex scheduling tasks, which can achieve superior results compared with static sinks, random-moving sinks, sinks with manually designed strategy, gene expression programming-based sinks, as well as the other state-of-the-art multi-objective evolutionary algorithms.

TL;DR: Wang et al. as discussed by the authors proposed a new method for forgery detection based on GANs, which first discover the hidden gradient information in the grayscale image of the forged image and use this gradient information to guide the generation of forged traces.

TL;DR: The proposed method can automatically find the seed point inside the tumor with an accuracy rate of 97.27 % and is validated through 110 ultrasonic breast tumor images.

TL;DR: This paper concludes the key solutions of ARGIS, designs the mobile augmented reality pipeline prospect system (ARPPS), and respectively realizes the machine vision based pipeline Prospect system (MVBPPS) and the sensor based pipeline prospects system (SBPPS).