no code implementations • 7 Mar 2024 • Yujiang Chen, Mei Xie
Recently, lung nodule detection methods based on deep learning have shown excellent performance in the medical image processing field.
no code implementations • 3 Dec 2022 • Yanxiang Gong, Zhiwei Xie, Guozhen Duan, Zheng Ma, Mei Xie
To address the issue, we propose a global distribution fitting (GDF) method with a penalty term to confine the generated data distribution.
1 code implementation • 7 May 2022 • Yanxiang Gong, Linjie Deng, Shuai Tao, Xinchen Lu, Peicheng Wu, Zhiwei Xie, Zheng Ma, Mei Xie
With CRPD, a unified detection and recognition network with high efficiency is presented as the baseline.
no code implementations • 23 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.
no code implementations • 21 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.
no code implementations • 3 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.
no code implementations • 30 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.
1 code implementation • 17 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.
1 code implementation • 29 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.
no code implementations • 16 May 2019 • Yao Luo, Xiaoguang Tu, Mei Xie
3D face reconstruction from a single 2D image is a very important topic in computer vision.
2 code implementations • 22 Mar 2019 • Xiaoguang Tu, Jian Zhao, Zi-Hang Jiang, Yao Luo, Mei Xie, Yang Zhao, Linxiao He, Zheng Ma, Jiashi Feng
3D face reconstruction from a single 2D image is a challenging problem with broad applications.
Ranked #7 on
Face Alignment
on AFLW2000-3D
1 code implementation • 21 Jan 2019 • Yanxiang Gong, Linjie Deng, Zheng Ma, Mei Xie
Recently, methods based on deep learning have dominated the field of text recognition.
no code implementations • 17 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.
no code implementations • 17 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.
1 code implementation • 17 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.
Ranked #2 on
Face Anti-Spoofing
on MSU-MFSD
1 code implementation • 8 Apr 2018 • Linjie Deng, Yanxiang Gong, Yi Lin, Jingwen Shuai, Xiaoguang Tu, Yuefei Zhang, Zheng Ma, Mei Xie
Previous approaches for scene text detection usually rely on manually defined sliding windows.
Ranked #1 on
Scene Text Detection
on COCO-Text