Alert button
Picture for Jinghua Wang

Jinghua Wang

Alert button

University of Illinois at Urbana-Champaign

A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation

Oct 27, 2023
Jiesi Hu, Yanwu Yang, Xutao Guo, Jinghua Wang, Ting Ma

Figure 1 for A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Figure 2 for A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Figure 3 for A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Figure 4 for A Chebyshev Confidence Guided Source-Free Domain Adaptation Framework for Medical Image Segmentation
Viaarxiv icon

Few-Shot Classification with Contrastive Learning

Sep 17, 2022
Zhanyuan Yang, Jinghua Wang, Yingying Zhu

Figure 1 for Few-Shot Classification with Contrastive Learning
Figure 2 for Few-Shot Classification with Contrastive Learning
Figure 3 for Few-Shot Classification with Contrastive Learning
Figure 4 for Few-Shot Classification with Contrastive Learning
Viaarxiv icon

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

Sep 03, 2022
Tianjiao Li, Lin Geng Foo, Qiuhong Ke, Hossein Rahmani, Anran Wang, Jinghua Wang, Jun Liu

Figure 1 for Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
Figure 2 for Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
Figure 3 for Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
Figure 4 for Dynamic Spatio-Temporal Specialization Learning for Fine-Grained Action Recognition
Viaarxiv icon

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

Feb 12, 2021
Kanya Mo, Shen Zheng, Xiwei Wang, Jinghua Wang, Klaus-Dieter Schewe

Figure 1 for Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network
Figure 2 for Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network
Figure 3 for Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network
Figure 4 for Exploiting Spline Models for the Training of Fully Connected Layers in Neural Network
Viaarxiv icon

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

Sep 11, 2020
Jinghua Wang, Jianmin Jiang

Figure 1 for SA-Net: A deep spectral analysis network for image clustering
Figure 2 for SA-Net: A deep spectral analysis network for image clustering
Figure 3 for SA-Net: A deep spectral analysis network for image clustering
Figure 4 for SA-Net: A deep spectral analysis network for image clustering
Viaarxiv icon

Spectral Analysis Network for Deep Representation Learning and Image Clustering

Sep 11, 2020
Jinghua Wang, Adrian Hilton, Jianmin Jiang

Figure 1 for Spectral Analysis Network for Deep Representation Learning and Image Clustering
Figure 2 for Spectral Analysis Network for Deep Representation Learning and Image Clustering
Figure 3 for Spectral Analysis Network for Deep Representation Learning and Image Clustering
Figure 4 for Spectral Analysis Network for Deep Representation Learning and Image Clustering
Viaarxiv icon

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

Sep 11, 2020
Jinghua Wang, Jianmin Jiang

Figure 1 for An unsupervised deep learning framework via integrated optimization of representation learning and GMM-based modeling
Figure 2 for An unsupervised deep learning framework via integrated optimization of representation learning and GMM-based modeling
Figure 3 for An unsupervised deep learning framework via integrated optimization of representation learning and GMM-based modeling
Figure 4 for An unsupervised deep learning framework via integrated optimization of representation learning and GMM-based modeling
Viaarxiv icon

Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation

Sep 11, 2020
Jinghua Wang, Jianmin Jiang

Figure 1 for Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
Figure 2 for Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
Figure 3 for Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
Figure 4 for Conditional Coupled Generative Adversarial Networks for Zero-Shot Domain Adaptation
Viaarxiv icon

Adversarial Learning for Zero-shot Domain Adaptation

Sep 11, 2020
Jinghua Wang, Jianmin Jiang

Figure 1 for Adversarial Learning for Zero-shot Domain Adaptation
Figure 2 for Adversarial Learning for Zero-shot Domain Adaptation
Figure 3 for Adversarial Learning for Zero-shot Domain Adaptation
Figure 4 for Adversarial Learning for Zero-shot Domain Adaptation
Viaarxiv icon

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

Aug 03, 2016
Jinghua Wang, Zhenhua Wang, Dacheng Tao, Simon See, Gang Wang

Figure 1 for Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Figure 2 for Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Figure 3 for Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Figure 4 for Learning Common and Specific Features for RGB-D Semantic Segmentation with Deconvolutional Networks
Viaarxiv icon