27 citations · 60 across the 9 of their papers we have counts for
11 papers
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…
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…