105 citations · 261 across the 15 of their papers we have counts for
15 papers
Distribution Fitting for Combating Mode Collapse in Generative Adversarial Networks
Yanxiang Gong, Zhiwei Xie, Guozhen Duan +2
Mode collapse is a significant unsolved issue of generative adversarial networks. In this work, we examine the causes of mode collapse from a novel perspective. Due to the nonunifo…
Unified Chinese License Plate Detection and Recognition with High Efficiency
Yanxiang Gong, Linjie Deng, Shuai Tao +5
Recently, deep learning-based methods have reached an excellent performance on License Plate (LP) detection and recognition tasks. However, it is still challenging to build a robus…
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning
Shiyu Tang, Peijun Tang, Yanxiang Gong +2
Previous feature alignment methods in Unsupervised domain adaptation(UDA) mostly only align global features without considering the mismatch between class-wise features. In this wo…
Single Image Super-Resolution via Residual Neuron Attention Networks
Wenjie Ai, Xiaoguang Tu, Shilei Cheng +1
Deep Convolutional Neural Networks (DCNNs) have achieved impressive performance in Single Image Super-Resolution (SISR). To further improve the performance, existing CNN-based meth…
What's the relationship between CNNs and communication systems?
Hao Ge, Xiaoguang Tu, Yanxiang Gong +2
The interpretability of Convolutional Neural Networks (CNNs) is an important topic in the field of computer vision. In recent years, works in this field generally adopt a mature mo…
Defending from adversarial examples with a two-stream architecture
Hao Ge, Xiaoguang Tu, Mei Xie +1
In recent years, deep learning has shown impressive performance on many tasks. However, recent researches showed that deep learning systems are vulnerable to small, specially craft…
STELA: A Real-Time Scene Text Detector with Learned Anchor
Linjie Deng, Yanxiang Gong, Xinchen Lu +3
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 s…
Focus-Enhanced Scene Text Recognition with Deformable Convolutions
Linjie Deng, Yanxiang Gong, Xinchen Lu +3
Recently, scene text recognition methods based on deep learning have sprung up in computer vision area. The existing methods achieved great performances, but the recognition of irr…
Learning Robust 3D Face Reconstruction and Discriminative Identity Representation
Yao Luo, Xiaoguang Tu, Mei Xie
3D face reconstruction from a single 2D image is a very important topic in computer vision. However, the current reconstruction methods are usually non-sensitive to face identities…
3D Face Reconstruction from A Single Image Assisted by 2D Face Images in the Wild
Xiaoguang Tu, Jian Zhao, Zihang Jiang +6
3D face reconstruction from a single 2D image is a challenging problem with broad applications. Recent methods typically aim to learn a CNN-based 3D face model that regresses coeff…
Generating Text Sequence Images for Recognition
Yanxiang Gong, Linjie Deng, Zheng Ma +1
Recently, methods based on deep learning have dominated the field of text recognition. With a large number of training data, most of them can achieve the state-of-the-art performan…
Enhance the Motion Cues for Face Anti-Spoofing using CNN-LSTM Architecture
Xiaoguang Tu, Hengsheng Zhang, Mei Xie +3
Spatio-temporal information is very important to capture the discriminative cues between genuine and fake faces from video sequences. To explore such a temporal feature, the fine-g…
Learning Generalizable and Identity-Discriminative Representations for Face Anti-Spoofing
Xiaoguang Tu, Jian Zhao, Mei Xie +5
Face anti-spoofing (a.k.a presentation attack detection) has drawn growing attention due to the high-security demand in face authentication systems. Existing CNN-based approaches u…
Deep Transfer Across Domains for Face Anti-spoofing
Xiaoguang Tu, Hengsheng Zhang, Mei Xie +3
A practical face recognition system demands not only high recognition performance, but also the capability of detecting spoofing attacks. While emerging approaches of face anti-spo…
Detecting Multi-Oriented Text with Corner-based Region Proposals
Linjie Deng, Yanxiang Gong, Yi Lin +5
Previous approaches for scene text detection usually rely on manually defined sliding windows. This work presents an intuitive two-stage region-based method to detect multi-oriente…