Search Results for author: Xuemei Xie

Found 12 papers, 5 papers with code

A new communication paradigm: from bit accuracy to semantic fidelity

no code implementations29 Jan 2021 Guangming Shi, Dahua Gao, Xiaodan Song, Jingxuan Chai, Minxi Yang, Xuemei Xie, Leida Li, Xuyang Li

In this article, we deploy semantics to solve the spectrum and power bottleneck and propose a first understanding and then transmission framework with high semantic fidelity.

Networking and Internet Architecture

Temporal Graph Modeling for Skeleton-based Action Recognition

no code implementations16 Dec 2020 Jianan Li, Xuemei Xie, Zhifu Zhao, Yuhan Cao, Qingzhe Pan, Guangming Shi

Specifically, the constructed temporal relation graph explicitly builds connections between semantically related temporal features to model temporal relations between both adjacent and non-adjacent time steps.

Action Recognition Skeleton Based Action Recognition

Knowledge-guided Semantic Computing Network

no code implementations29 Sep 2018 Guangming Shi, Zhongqiang Zhang, Dahua Gao, Xuemei Xie, Yihao Feng, Xinrui Ma, Danhua Liu

Besides, to enhance the recognition ability of the semantic tree in aspects of the diversity, randomicity and variability, we use the traditional neural network to aid the semantic tree to learn some indescribable features.

Adversarial Robustness Object Recognition

Perceptual Compressive Sensing

1 code implementation1 Feb 2018 Jiang Du, Xuemei Xie, Chenye Wang, Guangming Shi

In detail, we employ perceptual loss, defined on feature level, to enhance the structure information of the recovered images.

Compressive Sensing

Full Image Recover for Block-Based Compressive Sensing

1 code implementation1 Feb 2018 Xuemei Xie, Chenye Wang, Jiang Du, Guangming Shi

In measurement part, the input image is adaptively measured block by block to acquire a group of measurements.

Compressive Sensing

ConvCSNet: A Convolutional Compressive Sensing Framework Based on Deep Learning

no code implementations31 Jan 2018 Xiaotong Lu, Weisheng Dong, Peiyao Wang, Guangming Shi, Xuemei Xie

Instead of reconstructing individual blocks, the whole image is reconstructed from the linear convolutional measurements.

Compressive Sensing

Real-Time Illegal Parking Detection System Based on Deep Learning

no code implementations5 Oct 2017 Xuemei Xie, Chenye Wang, Shu Chen, Guangming Shi, Zhifu Zhao

Experiments show that the system can achieve a 99% accuracy and real-time (25FPS) detection with strong robustness in complex environments.

Adaptive Measurement Network for CS Image Reconstruction

1 code implementation23 Sep 2017 Xuemei Xie, Yu-Xiang Wang, Guangming Shi, Chenye Wang, Jiang Du, Zhifu Zhao

In this paper, we propose an adaptive measurement network in which measurement is obtained by learning.

Compressive Sensing Image Reconstruction

Feature-Fused SSD: Fast Detection for Small Objects

1 code implementation15 Sep 2017 Guimei Cao, Xuemei Xie, Wenzhe Yang, Quan Liao, Guangming Shi, Jinjian Wu

We propose a multi-level feature fusion method for introducing contextual information in SSD, in order to improve the accuracy for small objects.

object-detection Small Object Detection

Learning Parametric Sparse Models for Image Super-Resolution

no code implementations NeurIPS 2016 Yongbo Li, Weisheng Dong, Xuemei Xie, Guangming Shi, Xin Li, Donglai Xu

More specifically, the parametric sparse prior of the desirable high-resolution (HR) image patches are learned from both the input low-resolution (LR) image and a training image dataset.

Image Super-Resolution

Learning Parametric Distributions for Image Super-Resolution: Where Patch Matching Meets Sparse Coding

no code implementations ICCV 2015 Yongbo Li, Weisheng Dong, Guangming Shi, Xuemei Xie

Existing approaches toward Image super-resolution (SR) is often either data-driven (e. g., based on internet-scale matching and web image retrieval) or model-based (e. g., formulated as an Maximizing a Posterior estimation problem).

Image Retrieval Image Super-Resolution +2

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