4 citations · 11 across the 5 of their papers we have counts for
5 papers
CUNet: A Compact Unsupervised Network for Image Classification
Le Dong, Ling He, Gaipeng Kong +3
In this paper, we propose a compact network called CUNet (compact unsupervised network) to counter the image classification challenge. Different from the traditional convolutional…
Coarse2Fine: Two-Layer Fusion For Image Retrieval
Gaipeng Kong, Le Dong, Wenpu Dong +2
This paper addresses the problem of large-scale image retrieval. We propose a two-layer fusion method which takes advantage of global and local cues and ranks database images from…
A Hierarchical Distributed Processing Framework for Big Image Data
Le Dong, Zhiyu Lin, Yan Liang +5
This paper introduces an effective processing framework nominated ICP (Image Cloud Processing) to powerfully cope with the data explosion in image processing field. While most prev…
A Distributed Deep Representation Learning Model for Big Image Data Classification
Le Dong, Na Lv, Qianni Zhang +3
This paper describes an effective and efficient image classification framework nominated distributed deep representation learning model (DDRL). The aim is to strike the balance bet…
NIST: An Image Classification Network to Image Semantic Retrieval
Le Dong, Xiuyuan Chen, Mengdie Mao +1
This paper proposes a classification network to image semantic retrieval (NIST) framework to counter the image retrieval challenge. Our approach leverages the successful classifica…