output
20072026
most citedRemote Sensing Image Scene Classification: Benchmark and State of the Art

2.7k citations

Showing 2018Show all

18 papers · 1 filter

astro-ph.IM2018★ 329 cited

The enhanced X-ray Timing and Polarimetry mission - eXTP

ShuangNan Zhang, Andrea Santangelo, Marco Feroci +146

In this paper we present the enhanced X-ray Timing and Polarimetry mission - eXTP. eXTP is a space science mission designed to study fundamental physics under extreme conditions of…

quant-ph2018★ 75 cited

Quantum key distribution with dissipative Kerr soliton generated by on-chip microresonators

Fang-Xiang Wang, Weiqiang Wang, Rui Niu +16

Quantum key distribution (QKD) can distribute symmetric key bits between remote legitimate users with the guarantee of quantum mechanics principles. For practical applications, the…

physics.optics2018★ 306 cited

Graphene oxide for enhanced nonlinear optics in low and high index contrast waveguides and nanowires

Yunyi Yang, Jiayang Wu, Xingyuan Xu +6

We demonstrate enhanced four-wave mixing (FWM) in doped silica waveguides integrated with graphene oxide (GO) layers. Owing to strong mode overlap between the integrated waveguides…

physics.optics2018★ 1 cited

Deterministic generation and switching of dissipative Kerr soliton in a thermally controlled micro-resonator

Zhizhou Lu, Weiqiang Wang, Wenfu Zhang +8

Dissipative Kerr solitons (DKSs) in the high-Q micro-resonator corresponds to self-organized short pulse in time domain via double balance between dispersion and Kerr nonlinearity,…

physics.app-ph2018★ 400 cited

Tunable RF and microwave photonic sideband generator based on cascaded 49GHz and 200GHz integrated ring resonators

Xingyuan Xu, Jiayang Wu, Linnan Jia +7

We demonstrate a continuously RF tunable orthogonally polarized optical single sideband (OP-OSSB) generator based on dual cascaded micro-ring resonators. By splitting the input dou…

cs.CV2018★ 4 cited

Triply Supervised Decoder Networks for Joint Detection and Segmentation

Jiale Cao, Yanwei Pang, Xuelong Li

Joint object detection and semantic segmentation can be applied to many fields, such as self-driving cars and unmanned surface vessels. An initial and important progress towards th…

physics.optics2018★ 8 cited

Repetition rate tuning of soliton in microrod resonators

Rui Niu, Shuai Wan, Shu-Man Sun +8

The coherent temporal soliton in optical microresonators has attracted great attention recently. Here, we demonstrate the dissipative Kerr soliton generation in a microrod resonato…

physics.app-ph2018★ 138 cited

Ultrafast Bessel beams; advanced tools for laser materials processing

Razvan Stoian, Manoj K. Bhuyan, Guodong Zhang +3

Ultrafast Bessel beams demonstrate a significant capacity of structuring transparent materials with high degree of accuracy and exceptional aspect ratio. The ability to localize en…

physics.app-ph2018★ 12 cited

Emerging applications of integrated optical microcombs for analogue RF and microwave photonic signal processing

Xingyuan Xu, Jiayang Wu, Sai T. Chu +4

We review new applications of integrated microcombs in RF and microwave photonic systems. We demonstrate a wide range of powerful functions including a photonic intensity high orde…

cs.LG2018★ 2 cited

TLR: Transfer Latent Representation for Unsupervised Domain Adaptation

Pan Xiao, Bo Du, Jia Wu +3

Domain adaptation refers to the process of learning prediction models in a target domain by making use of data from a source domain. Many classic methods solve the domain adaptatio…

physics.app-ph2018★ 45 cited

Optical wavelength conversion of high bandwidth phase-encoded signals in a high FOM 50cm CMOS compatible waveguide

Francesco Da Ros, Edson Porto da Silva, Darko Zibar +6

We demonstrate wavelength conversion of QAM signals including 32GBd QPSK and 10GBd 16QAM in a 50cm long high index doped glass spiral waveguide. The quality of the generated idlers…

physics.optics2018★ 102 cited

Subwavelength resolution Fourier ptychography with hemispherical digital condensers

An Pan, Yan Zhang, Kai Wen +5

Fourier ptychography (FP) is a promising computational imaging technique that overcomes the physical space-bandwidth product (SBP) limit of a conventional microscope by applying an…

physics.app-ph2018★ 525 cited

A Radio Frequency Channelizer based on Cascaded Integrated Micro-ring Resonator Optical Comb Sources and Filters

Xingyuan Xu, Jiayang Wu, Thach G. Nguyen +5

We report a broadband RF channelizer based on an integrated optical frequency Kerr micro-comb source, with an RF channelizing bandwidth of 90 GHz, a high RF spectral slice resoluti…

cs.CV2018★ 1 cited

Anchor-based Nearest Class Mean Loss for Convolutional Neural Networks

Fusheng Hao, Jun Cheng, Lei Wang +4

Discriminative features are critical for machine learning applications. Most existing deep learning approaches, however, rely on convolutional neural networks (CNNs) for learning f…

physics.app-ph2018

High-order Radio Frequency Differentiation via Photonic Signal Processing with an Integrated Micro-resonator Kerr Optical Frequency Comb Source

Xingyuan Xu, Jiayang Wu, Mehrdad Shoeiby +5

We demonstrate the use of integrated micro-resonator based optical frequency comb sources as the basis for transversal filtering functions for microwave and radio frequency photoni…

physics.optics2018★ 21 cited

Suppression of the critical collapse for one-dimensional solitons by saturable quintic nonlinear lattices

Jincheng Shi, Jianhua Zeng, Boris A. Malomed

The stabilization of one-dimensional solitons by a nonlinear lattice against the critical collapse in the focusing quintic medium is a challenging issue. We demonstrate that this p…

physics.app-ph2018★ 548 cited

Photonic RF and microwave reconfigurable filters and true time delays based on an integrated optical Kerr frequency comb source

Xingyuan Xu, Jiayang Wu, Thach G. Nguyen +6

We demonstrate advanced transversal radio frequency (RF) and microwave functions based on a Kerr optical comb source generated by an integrated micro-ring resonator. We achieve ext…

cs.CV2018★ 53 cited

PixelLink: Detecting Scene Text via Instance Segmentation

Dan Deng, Haifeng Liu, Xuelong Li +1

Most state-of-the-art scene text detection algorithms are deep learning based methods that depend on bounding box regression and perform at least two kinds of predictions: text/non…