Search Results for author: Mei Xie

Found 14 papers, 7 papers with code

Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning

no code implementations23 Mar 2021 Shiyu Tang, Peijun Tang, Yanxiang Gong, Zheng Ma, Mei Xie

It draws class-wise features closer than coarse feature alignment or class-wise feature alignment only, therefore improves the model's performance to a great extent.

Contrastive Learning Semantic Segmentation +1

Single Image Super-Resolution via Residual Neuron Attention Networks

no code implementations21 May 2020 Wenjie Ai, Xiaoguang Tu, Shilei Cheng, Mei Xie

Experiments results demonstrate that our RNAN achieves the comparable results with state-of-the-art methods in terms of both quantitative metrics and visual quality, however, with simplified network architecture.

Image Super-Resolution Single Image Super Resolution

What's the relationship between CNNs and communication systems?

no code implementations3 Mar 2020 Hao Ge, Xiaoguang Tu, Yanxiang Gong, Mei Xie, Zheng Ma

The interpretability of Convolutional Neural Networks (CNNs) is an important topic in the field of computer vision.

Defending from adversarial examples with a two-stream architecture

no code implementations30 Dec 2019 Hao Ge, Xiaoguang Tu, Mei Xie, Zheng Ma

We demonstrate that our two-stream architecture is robust to adversarial examples built by currently known attacking algorithms.

STELA: A Real-Time Scene Text Detector with Learned Anchor

1 code implementation17 Sep 2019 Linjie Deng, Yanxiang Gong, Xinchen Lu, Yi Lin, Zheng Ma, Mei Xie

To achieve high coverage of target boxes, a normal strategy of conventional one-stage anchor-based detectors is to utilize multiple priors at each spatial position, especially in scene text detection tasks.

Scene Text Detection

Focus-Enhanced Scene Text Recognition with Deformable Convolutions

1 code implementation29 Aug 2019 Linjie Deng, Yanxiang Gong, Xinchen Lu, Xin Yi, Zheng Ma, Mei Xie

Recently, scene text recognition methods based on deep learning have sprung up in computer vision area.

Scene Text Recognition

Generating Text Sequence Images for Recognition

1 code implementation21 Jan 2019 Yanxiang Gong, Linjie Deng, Zheng Ma, Mei Xie

Recently, methods based on deep learning have dominated the field of text recognition.

Image-to-Image Translation Translation

Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing

1 code implementation17 Jan 2019 Xiaoguang Tu, Jian Zhao, Mei Xie, Guodong Du, Hengsheng Zhang, Jianshu Li, Zheng Ma, Jiashi Feng

Face anti-spoofing (a. k. a presentation attack detection) has drawn growing attention due to the high-security demand in face authentication systems.

Domain Adaptation Face Anti-Spoofing +1

Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture

no code implementations17 Jan 2019 Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma

Spatio-temporal information is very important to capture the discriminative cues between genuine and fake faces from video sequences.

Face Anti-Spoofing

Deep Transfer Across Domains for Face Anti-spoofing

no code implementations17 Jan 2019 Xiaoguang Tu, Hengsheng Zhang, Mei Xie, Yao Luo, Yuefei Zhang, Zheng Ma

We propose a CNN framework using sparsely labeled data from the target domain to learn features that are invariant across domains for face anti-spoofing.

Face Anti-Spoofing Face Recognition

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