Dong Gong | DeepAI

DeepAI

Featured Co-authors

Lei Zhang
363 publications
Wei Zhang
323 publications
Chunhua Shen
294 publications
Wei Li
253 publications
Chang Liu
193 publications
Jian Sun
170 publications
Jie Yang
158 publications
Jie Li
158 publications
Radu Timofte
156 publications
Yu Liu
148 publications
Tao Mei
146 publications

∙ 09/01/2022

The Neural Process Family: Survey, Applications and Perspectives

The standard approaches to neural network implementation yield powerful ...

Saurav Jha, et al. ∙

∙ 05/25/2022

NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results

This paper reviews the challenge on constrained high dynamic range (HDR)...

Eduardo Pérez-Pellitero, et al. ∙

∙ 02/21/2022

Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning

Continual Learning (CL) methods aim to enable machine learning models to...

Dong Gong, et al. ∙

∙ 04/23/2020

COVID-19 Chest CT Image Segmentation – A Deep Convolutional Neural Network Solution

A novel coronavirus disease 2019 (COVID-19) was detected and has spread ...

Qingsen Yan, et al. ∙

∙ 01/13/2020

Memorizing Comprehensively to Learn Adaptively: Unsupervised Cross-Domain Person Re-ID with Multi-level Memory

Unsupervised cross-domain person re-identification (Re-ID) aims to adapt...

Xinyu Zhang, et al. ∙

∙ 01/09/2020

Semi-supervised Learning via Conditional Rotation Angle Estimation

Self-supervised learning (SlfSL), aiming at learning feature representat...

Hai-Ming Xu, et al. ∙

∙ 01/08/2020

Learning to Zoom-in via Learning to Zoom-out: Real-world Super-resolution by Generating and Adapting Degradation

Most learning-based super-resolution (SR) methods aim to recover high-re...

Dong Gong, et al. ∙

∙ 01/06/2020

Learning and Memorizing Representative Prototypes for 3D Point Cloud Semantic and Instance Segmentation

3D point cloud semantic and instance segmentation is crucial and fundame...

Tong He, et al. ∙

∙ 09/13/2019

Part-Guided Attention Learning for Vehicle Re-Identification

Vehicle re-identification (Re-ID) often requires one to recognize the fi...

Xinyu Zhang, et al. ∙

∙ 07/29/2019

Regularizing Proxies with Multi-Adversarial Training for Unsupervised Domain-Adaptive Semantic Segmentation

Training a semantic segmentation model requires a large amount of pixel-...

Tong Shen, et al. ∙

∙ 05/14/2019

An Effective Two-Branch Model-Based Deep Network for Single Image Deraining

Removing rain effects from an image automatically has many applications ...

Yinglong Wang, et al. ∙

∙ 04/23/2019

Attention-guided Network for Ghost-free High Dynamic Range Imaging

Ghosting artifacts caused by moving objects or misalignments is a key ch...

Qingsen Yan, et al. ∙

∙ 04/04/2019

Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection

Deep autoencoder has been extensively used for anomaly detection. Traini...

Dong Gong, et al. ∙

∙ 03/12/2019

Knowledge Adaptation for Efficient Semantic Segmentation

Both accuracy and efficiency are of significant importance to the task o...

Tong He, et al. ∙

∙ 03/02/2019

RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion

RGB images differentiate from depth images as they carry more details ab...

Jie Li, et al. ∙

∙ 11/19/2018

Variational Bayesian Dropout

Variational dropout (VD) is a generalization of Gaussian dropout, which ...

Yuhang Liu, et al. ∙

∙ 10/23/2018

End-to-End Diagnosis and Segmentation Learning from Cardiac Magnetic Resonance Imaging

Cardiac magnetic resonance (CMR) is used extensively in the diagnosis an...

Gerard Snaauw, et al. ∙

∙ 10/12/2018

MPTV: Matching Pursuit Based Total Variation Minimization for Image Deconvolution

Total variation (TV) regularization has proven effective for a range of ...

Dong Gong, et al. ∙

∙ 04/10/2018

Learning an Optimizer for Image Deconvolution

As an integral component of blind image deblurring, non-blind deconvolut...

Dong Gong, et al. ∙

∙ 12/08/2016

From Motion Blur to Motion Flow: a Deep Learning Solution for Removing Heterogeneous Motion Blur

Removing pixel-wise heterogeneous motion blur is challenging due to the ...

Dong Gong, et al. ∙