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20112026
most citedValley polarization in MoS2 monolayers by optical pumping

3.7k citations

Showing 2020 · cs.CVShow all

14 papers · 2 filters

cs.CV2020★ 11 cited

Attention-based Saliency Hashing for Ophthalmic Image Retrieval

Jiansheng Fang, Yanwu Xu, Xiaoqing Zhang +2

Deep hashing methods have been proved to be effective for the large-scale medical image search assisting reference-based diagnosis for clinicians. However, when the salient region…

cs.CV2020★ 52 cited

Digital rock reconstruction with user-defined properties using conditional generative adversarial networks

Qiang Zheng, Dongxiao Zhang

Uncertainty is ubiquitous with flow in subsurface rocks because of their inherent heterogeneity and lack of in-situ measurements. To complete uncertainty analysis in a multi-scale…

cs.CV2020★ 1 cited

Multi-objective Neural Architecture Search with Almost No Training

Shengran Hu, Ran Cheng, Cheng He +1

In the recent past, neural architecture search (NAS) has attracted increasing attention from both academia and industries. Despite the steady stream of impressive empirical results…

cs.CV2020★ 1 cited

S3-Net: A Fast and Lightweight Video Scene Understanding Network by Single-shot Segmentation

Yuan Cheng, Yuchao Yang, Hai-Bao Chen +2

Real-time understanding in video is crucial in various AI applications such as autonomous driving. This work presents a fast single-shot segmentation strategy for video scene under…

cs.CV2020★ 2 cited

USCL: Pretraining Deep Ultrasound Image Diagnosis Model through Video Contrastive Representation Learning

Yixiong Chen, Chunhui Zhang, Li Liu +4

Most deep neural networks (DNNs) based ultrasound (US) medical image analysis models use pretrained backbones (e.g., ImageNet) for better model generalization. However, the domain…

cs.CV2020

MetaMix: Improved Meta-Learning with Interpolation-based Consistency Regularization

Yangbin Chen, Yun Ma, Tom Ko +2

Model-Agnostic Meta-Learning (MAML) and its variants are popular few-shot classification methods. They train an initializer across a variety of sampled learning tasks (also known a…

cs.CV2020★ 107 cited

A Parallel Down-Up Fusion Network for Salient Object Detection in Optical Remote Sensing Images

Chongyi Li, Runmin Cong, Chunle Guo +4

The diverse spatial resolutions, various object types, scales and orientations, and cluttered backgrounds in optical remote sensing images (RSIs) challenge the current salient obje…

cs.CV2020

Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN

Rijun Liao, Weizhi An, Shiqi Yu +2

Gait recognition has proven to be effective for long-distance human recognition. But view variance of gait features would change human appearance greatly and reduce its performance…

cs.CV2020

iLGaCo: Incremental Learning of Gait Covariate Factors

Zihao Mu, Francisco M. Castro, Manuel J. Marin-Jimenez +3

Gait is a popular biometric pattern used for identifying people based on their way of walking. Traditionally, gait recognition approaches based on deep learning are trained using t…

cs.CV2020★ 91 cited

LSOTB-TIR:A Large-Scale High-Diversity Thermal Infrared Object Tracking Benchmark

Qiao Liu, Xin Li, Zhenyu He +8

In this paper, we present a Large-Scale and high-diversity general Thermal InfraRed (TIR) Object Tracking Benchmark, called LSOTBTIR, which consists of an evaluation dataset and a…

cs.CV2020★ 181 cited

Neural Architecture Transfer

Zhichao Lu, Gautam Sreekumar, Erik Goodman +3

Neural architecture search (NAS) has emerged as a promising avenue for automatically designing task-specific neural networks. Existing NAS approaches require one complete search fo…

cs.CV2020★ 9 cited

AGE Challenge: Angle Closure Glaucoma Evaluation in Anterior Segment Optical Coherence Tomography

Huazhu Fu, Fei Li, Xu Sun +22

Angle closure glaucoma (ACG) is a more aggressive disease than open-angle glaucoma, where the abnormal anatomical structures of the anterior chamber angle (ACA) may cause an elevat…

cs.CV2020★ 15 cited

Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation

Jiaming Sun, Linghao Chen, Yiming Xie +4

In this paper, we propose a novel system named Disp R-CNN for 3D object detection from stereo images. Many recent works solve this problem by first recovering a point cloud with di…

cs.CV2020★ 39 cited

TEA: Temporal Excitation and Aggregation for Action Recognition

Yan Li, Bin Ji, Xintian Shi +3

Temporal modeling is key for action recognition in videos. It normally considers both short-range motions and long-range aggregations. In this paper, we propose a Temporal Excitati…