Jinghua Wang | DeepAI

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Featured Co-authors

Dacheng Tao
495 publications
Jun Liu
179 publications
Gang Wang
61 publications
Simon See
40 publications
Zhenhua Wang
30 publications
Yingying Zhu
24 publications
Adrian Hilton
23 publications
Qiuhong Ke
22 publications
Hossein Rahmani
21 publications
Shen Zheng
12 publications
Klaus-Dieter Schewe
12 publications

∙ 09/17/2022

Few-Shot Classification with Contrastive Learning

A two-stage training paradigm consisting of sequential pre-training and ...

0 Zhanyuan Yang, et al. ∙

∙ 09/03/2022

Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition

The goal of fine-grained action recognition is to successfully discrimin...

8 Tianjiao Li, et al. ∙

∙ 02/12/2021

Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network

The fully connected (FC) layer, one of the most fundamental modules in a...

0 Kanya Mo, et al. ∙

∙ 09/11/2020

SA-Net: A deep spectral analysis network for image clustering

Although supervised deep representation learning has attracted enormous ...

17 Jinghua Wang, et al. ∙

∙ 09/11/2020

Spectral Analysis Network for Deep Representation Learning and Image Clustering

Deep representation learning is a crucial procedure in multimedia analys...

0 Jinghua Wang, et al. ∙

∙ 09/11/2020

An unsupervised deep learning framework via integrated optimization of representation learning and GMM-based modeling

While supervised deep learning has achieved great success in a range of ...

0 Jinghua Wang, et al. ∙

∙ 09/11/2020

Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation

Machine learning models trained in one domain perform poorly in the othe...

9 Jinghua Wang, et al. ∙

∙ 09/11/2020

Adversarial Learning for Zero-shot Domain Adaptation

Zero-shot domain adaptation (ZSDA) is a category of domain adaptation pr...

0 Jinghua Wang, et al. ∙

∙ 08/03/2016

Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks

In this paper, we tackle the problem of RGB-D semantic segmentation of i...

0 Jinghua Wang, et al. ∙

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