Z
Zhenhua Liu
Researcher at Huawei
Publications - 12
Citations - 1142
Zhenhua Liu is an academic researcher from Huawei. The author has contributed to research in topics: Transformer (machine learning model) & Computer science. The author has an hindex of 4, co-authored 7 publications receiving 225 citations.
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Pre-Trained Image Processing Transformer
Hanting Chen,Yunhe Wang,Tianyu Guo,Chang Xu,Yiping Deng,Zhenhua Liu,Siwei Ma,Chunjing Xu,Chao Xu,Wen Gao +9 more
TL;DR: To maximally excavate the capability of transformer, the IPT model is presented to utilize the well-known ImageNet benchmark for generating a large amount of corrupted image pairs and the contrastive learning is introduced for well adapting to different image processing tasks.
Proceedings ArticleDOI
Pre-Trained Image Processing Transformer
Hanting Chen,Yunhe Wang,Tianyu Guo,Chang Xu,Yiping Deng,Zhenhua Liu,Siwei Ma,Chunjing Xu,Chao Xu,Wen Gao +9 more
TL;DR: Hu et al. as discussed by the authors proposed a pre-trained image processing transformer (IPT) model for denoising, super-resolution and deraining tasks, which is trained on corrupted image pairs with multi-heads and multi-tails.
Posted Content
A Survey on Visual Transformer
Kai Han,Yunhe Wang,Hanting Chen,Xinghao Chen,Jianyuan Guo,Zhenhua Liu,Yehui Tang,An Xiao,Chunjing Xu,Yixing Xu,Zhaohui Yang,Yiman Zhang,Dacheng Tao +12 more
TL;DR: In this paper, a review of transformer-based models for computer vision tasks is presented, including the backbone network, high/mid-level vision, low-level image processing, and video processing.
Posted Content
A Survey on Vision Transformer
Kai Han,Yunhe Wang,Hanting Chen,Xinghao Chen,Jianyuan Guo,Zhenhua Liu,Yehui Tang,An Xiao,Chunjing Xu,Yixing Xu,Zhaohui Yang,Yiman Zhang,Dacheng Tao +12 more
TL;DR: Transformer as mentioned in this paper is a type of deep neural network mainly based on the self-attention mechanism, which has been applied to the field of natural language processing, and has received more and more attention from the computer vision community.