Search Results for author: Jie Gui

Found 14 papers, 3 papers with code

Feedback Pyramid Attention Networks for Single Image Super-Resolution

no code implementations13 Jun 2021 Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei

Recently, convolutional neural network (CNN) based image super-resolution (SR) methods have achieved significant performance improvement.

Image Super-Resolution Single Image Super Resolution

Pyramidal Dense Attention Networks for Lightweight Image Super-Resolution

no code implementations13 Jun 2021 Huapeng Wu, Jie Gui, Jun Zhang, James T. Kwok, Zhihui Wei

Recently, deep convolutional neural network methods have achieved an excellent performance in image superresolution (SR), but they can not be easily applied to embedded devices due to large memory cost.

Image Super-Resolution

A Comprehensive Survey and Taxonomy on Image Dehazing Based on Deep Learning

1 code implementation7 Jun 2021 Jie Gui, Xiaofeng Cong, Yuan Cao, Wenqi Ren, Jun Zhang, Jing Zhang, Jiuxin Cao, DaCheng Tao

With the development of convolutional neural networks, hundreds of deep learning based dehazing methods have been proposed.

Image Dehazing

Learning Rates for Multi-task Regularization Networks

no code implementations1 Apr 2021 Jie Gui, Haizhang Zhang

Multi-task learning is an important trend of machine learning in facing the era of artificial intelligence and big data.

Multi-Task Learning

Delving into Variance Transmission and Normalization: Shift of Average Gradient Makes the Network Collapse

1 code implementation22 Mar 2021 Yuxiang Liu, Jidong Ge, Chuanyi Li, Jie Gui

We propose Parametric Weights Standardization (PWS), a fast and robust to mini-batch size module used for conv filters, to solve the shift of the average gradient.

Randomized Kernel Multi-view Discriminant Analysis

no code implementations2 Apr 2020 Xiaoyun Li, Jie Gui, Ping Li

In this paper, we propose the kernel version of multi-view discriminant analysis, called kernel multi-view discriminant analysis (KMvDA).

Object Recognition

Deep Human Answer Understanding for Natural Reverse QA

no code implementations1 Dec 2019 Rujing Yao, Linlin Hou, Lei Yang, Jie Gui, Qing Yin, Ou wu

This study focuses on a reverse question answering (QA) procedure, in which machines proactively raise questions and humans supply the answers.

Natural Language Processing Question Answering

Multi-grained Attention Networks for Single Image Super-Resolution

no code implementations26 Sep 2019 Huapeng Wu, Zhengxia Zou, Jie Gui, Wen-Jun Zeng, Jieping Ye, Jun Zhang, Hongyi Liu, Zhihui Wei

In this paper, we make a thorough investigation on the attention mechanisms in a SR model and shed light on how simple and effective improvements on these ideas improve the state-of-the-arts.

Feature Importance Image Super-Resolution +1

AHash: A Load-Balanced One Permutation Hash

1 code implementation25 Sep 2019 Chenxingyu Zhao, Jie Gui, Yixiao Guo, Jie Jiang, Tong Yang, Bin Cui, Gong Zhang

Unlike the densification to fill the empty bins after they undesirably occur, our design goal is to balance the load so as to reduce the empty bins in advance.

Fast Supervised Discrete Hashing

no code implementations7 Apr 2019 Jie Gui, Tongliang Liu, Zhenan Sun, DaCheng Tao, Tieniu Tan

Rather than adopting this method, FSDH uses a very simple yet effective regression of the class labels of training examples to the corresponding hash code to accelerate the algorithm.

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