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most citedNon-destructive testing and evaluation of composite materials/structures: A state-of-the-art review

567 citations

Showing 2019Show all

35 papers · 1 filter

cs.CV2019★ 12 cited

Learning a Layout Transfer Network for Context Aware Object Detection

Tao Wang, Xuming He, Yuanzheng Cai +1

We present a context aware object detection method based on a retrieve-and-transform scene layout model. Given an input image, our approach first retrieves a coarse scene layout fr…

cs.LG2019★ 81 cited

Graph-augmented Convolutional Networks on Drug-Drug Interactions Prediction

Yi Zhong, Xueyu Chen, Yu Zhao +3

We propose an end-to-end model to predict drug-drug interactions (DDIs) by employing graph-augmented convolutional networks. And this is implemented by combining graph CNN with an…

cs.CV2019★ 54 cited

Deep Direct Visual Odometry

Chaoqiang Zhao, Yang Tang, Qiyu Sun +1

Traditional monocular direct visual odometry (DVO) is one of the most famous methods to estimate the ego-motion of robots and map environments from images simultaneously. However,…

eess.IV2019★ 13 cited

Stain Style Transfer using Transitive Adversarial Networks

Shaojin Cai, Yuyang Xue3 Qinquan Gao, Min Du +3

Digitized pathological diagnosis has been in increasing demand recently. It is well known that color information is critical to the automatic and visual analysis of pathological sl…

quant-ph2019★ 52 cited

Robust and highly-efficient discrimination of chiral molecules through three-mode parallel paths

Jin-Lei Wu, Yan Wang, Jie Song +3

We propose to discriminate chiral molecules by combining one- and two-photon processes in a closed-loop configuration. The one-photon-coupling intrinsic π-phase difference between…

cs.RO2019★ 1 cited

Learning Resilient Behaviors for Navigation Under Uncertainty

Tingxiang Fan, Pinxin Long, Wenxi Liu +3

Deep reinforcement learning has great potential to acquire complex, adaptive behaviors for autonomous agents automatically. However, the underlying neural network polices have not…