b'Junyu Dong'

research

∙ 09/21/2023

Convolution and Attention Mixer for Synthetic Aperture Radar Image Change Detection

Synthetic aperture radar (SAR) image change detection is a critical task...

0 Haopeng Zhang, et al. ∙

research

∙ 08/02/2023

ForensicsForest Family: A Series of Multi-scale Hierarchical Cascade Forests for Detecting GAN-generated Faces

The prominent progress in generative models has significantly improved t...

0 Jiucui Lu, et al. ∙

research

∙ 04/22/2023

SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images

Hyperspectral unmixing is a critical yet challenging task in hyperspectr...

0 Lin Qi, et al. ∙

research

∙ 04/19/2023

Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction

Traditionally, numerical models have been deployed in oceanography studi...

0 Yuxin Meng, et al. ∙

research

∙ 04/19/2023

Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising

Removing the noise and improving the visual quality of hyperspectral ima...

0 Haodong Pan, et al. ∙

research

∙ 03/24/2023

Curricular Contrastive Regularization for Physics-aware Single Image Dehazing

Considering the ill-posed nature, contrastive regularization has been de...

0 Yu Zheng, et al. ∙

research

∙ 01/09/2023

Nearest Neighbor-Based Contrastive Learning for Hyperspectral and LiDAR Data Classification

The joint hyperspectral image (HSI) and LiDAR data classification aims t...

0 Meng Wang, et al. ∙

research

∙ 12/29/2022

A Deep Learning Method for Real-time Bias Correction of Wind Field Forecasts in the Western North Pacific

Forecasts by the European Centre for Medium-Range Weather Forecasts (ECM...

0 Wei Zhang, et al. ∙

research

∙ 12/16/2022

Deep Learning Methods for Calibrated Photometric Stereo and Beyond: A Survey

Photometric stereo recovers the surface normals of an object from multip...

0 Yakun Ju, et al. ∙

research

∙ 09/29/2022

Lightweight Monocular Depth Estimation with an Edge Guided Network

Monocular depth estimation is an important task that can be applied to m...

0 Xingshuai Dong, et al. ∙

research

∙ 08/12/2022

Multiplex Heterogeneous Graph Convolutional Network

Heterogeneous graph convolutional networks have gained great popularity ...

0 Pengyang Yu, et al. ∙

research

∙ 08/09/2022

Synthetic Aperture Radar Image Change Detection via Layer Attention-Based Noise-Tolerant Network

Recently, change detection methods for synthetic aperture radar (SAR) im...

3 Desen Meng, et al. ∙

research

∙ 07/17/2022

Editing Out-of-domain GAN Inversion via Differential Activations

Despite the demonstrated editing capacity in the latent space of a pretr...

0 Haorui Song, et al. ∙

research

∙ 05/08/2022

Mutual Distillation Learning Network for Trajectory-User Linking

Trajectory-User Linking (TUL), which links trajectories to users who gen...

0 Wei Chen, et al. ∙

research

∙ 04/22/2022

Enhancing the Transferability via Feature-Momentum Adversarial Attack

Transferable adversarial attack has drawn increasing attention due to th...

0 Xianglong, et al. ∙

research

∙ 04/20/2022

Scalable Motif Counting for Large-scale Temporal Graphs

One fundamental problem in temporal graph analysis is to count the occur...

0 Zhongqiang Gao, et al. ∙

research

∙ 03/13/2022

Change Detection from Synthetic Aperture Radar Images via Dual Path Denoising Network

Benefited from the rapid and sustainable development of synthetic apertu...

6 Junjie Wang, et al. ∙

research

∙ 01/22/2022

Change Detection from Synthetic Aperture Radar Images via Graph-Based Knowledge Supplement Network

Synthetic aperture radar (SAR) image change detection is a vital yet cha...

4 Junjie Wang, et al. ∙

research

∙ 01/22/2022

Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification

In recent years, hyperspectral image (HSI) classification based on gener...

5 Junjie Wang, et al. ∙

research

∙ 01/22/2022

SAR Image Change Detection Based on Multiscale Capsule Network

Traditional synthetic aperture radar image change detection methods base...

13 Yunhao Gao, et al. ∙

research

∙ 11/04/2021

Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction

Sea subsurface temperature, an essential component of aquatic wildlife, ...

0 Yuxin Meng, et al. ∙

research

∙ 10/11/2021

SurroundNet: Towards Effective Low-Light Image Enhancement

Although Convolution Neural Networks (CNNs) has made substantial progres...

3 Fei Zhou, et al. ∙

research

∙ 08/05/2021

LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection

Ocean fronts can cause the accumulation of nutrients and affect the prop...

0 Cui Xie, et al. ∙

research

∙ 07/15/2021

Incorporating Lambertian Priors into Surface Normals Measurement

The goal of photometric stereo is to measure the precise surface normal ...

4 Yakun Ju, et al. ∙

research

∙ 06/22/2021

Wallpaper Texture Generation and Style Transfer Based on Multi-label Semantics

Textures contain a wealth of image information and are widely used in va...

5 Ying Gao, et al. ∙

research

∙ 06/21/2021

Knowledge Distillation via Instance-level Sequence Learning

Recently, distillation approaches are suggested to extract general knowl...

10 Haoran Zhao, et al. ∙

research

∙ 06/11/2021

Learning the Precise Feature for Cluster Assignment

Clustering is one of the fundamental tasks in computer vision and patter...

11 Yanhai Gan, et al. ∙

research

∙ 04/27/2021

Network Embedding via Deep Prediction Model

Network-structured data becomes ubiquitous in daily life and is growing ...

8 Xin Sun, et al. ∙

research

∙ 04/18/2021

Gaussian Dynamic Convolution for Efficient Single-Image Segmentation

Interactive single-image segmentation is ubiquitous in the scientific an...

5 Xin Sun, et al. ∙

research

∙ 04/14/2021

Change Detection in Synthetic Aperture Radar Images Using a Dual-Domain Network

Change detection from synthetic aperture radar (SAR) imagery is a critic...

0 Xiaofan Qu, et al. ∙

research

∙ 04/12/2021

Dual Discriminator Adversarial Distillation for Data-free Model Compression

Knowledge distillation has been widely used to produce portable and effi...

11 Haoran Zhao, et al. ∙

research

∙ 04/06/2021

Hyperspectral and LiDAR data classification based on linear self-attention

An efficient linear self-attention fusion model is proposed in this pape...

3 Min Feng, et al. ∙

research

∙ 04/06/2021

Change Detection from SAR Images Based on Deformable Residual Convolutional Neural Networks

Convolutional neural networks (CNN) have made great progress for synthet...

0 Junjie Wang, et al. ∙

research

∙ 03/29/2021

Remote Sensing Image Translation via Style-Based Recalibration Module and Improved Style Discriminator

Existing remote sensing change detection methods are heavily affected by...

0 Tiange Zhang, et al. ∙

research

∙ 03/18/2021

Similarity Transfer for Knowledge Distillation

Knowledge distillation is a popular paradigm for learning portable neura...

18 Haoran Zhao, et al. ∙

research

∙ 01/20/2021

Class balanced underwater object detection dataset generated by class-wise style augmentation

Underwater object detection technique is of great significance for vario...

0 Long Chen, et al. ∙

research

∙ 01/07/2021

Multimodal Gait Recognition for Neurodegenerative Diseases

In recent years, single modality based gait recognition has been extensi...

0 Aite Zhao, et al. ∙

research

∙ 01/07/2021

Associated Spatio-Temporal Capsule Network for Gait Recognition

It is a challenging task to identify a person based on her/his gait patt...

0 Aite Zhao, et al. ∙

research

∙ 10/19/2020

SWIPENET: Object detection in noisy underwater images

In recent years, deep learning based object detection methods have achie...

0 Long Chen, et al. ∙

research

∙ 09/02/2020

3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network

We present to recover the complete 3D facial geometry from a single dept...

3 Xiaoxu Cai, et al. ∙

research

∙ 09/02/2020

Real-time 3D Facial Tracking via Cascaded Compositional Learning

We propose to learn a cascade of globally-optimized modular boosted fern...

10 Jianwen Lou, et al. ∙

research

∙ 08/21/2020

Detection perceptual underwater image enhancement with deep learning and physical priors

Underwater image enhancement, as a pre-processing step to improve the ac...

5 Long Chen, et al. ∙

research

∙ 06/29/2020

A Benchmark dataset for both underwater image enhancement and underwater object detection

Underwater image enhancement is such an important vision task due to its...

7 Long Chen, et al. ∙

research

∙ 06/18/2020

Progressively Unfreezing Perceptual GAN

Generative adversarial networks (GANs) are widely used in image generati...

0 Jinxuan Sun, et al. ∙

research

∙ 05/23/2020

Underwater object detection using Invert Multi-Class Adaboost with deep learning

In recent years, deep learning based methods have achieved promising per...

36 Long Chen, et al. ∙

research

∙ 02/18/2020

High-Order Paired-ASPP Networks for Semantic Segmenation

Current semantic segmentation models only exploit first-order statistics...

0 Yu Zhang, et al. ∙

research

∙ 12/13/2019

Multi-level Similarity Learning for Low-Shot Recognition

Low-shot learning indicates the ability to recognize unseen objects base...

41 Hongwei Xv, et al. ∙

research

∙ 07/23/2019

Few-shot Learning for Domain-specfic Fine-grained Image Classfication

Learning to recognize novel visual categories from a few examples is a c...

15 Xin Sun, et al. ∙

research

∙ 07/23/2019

Highlight Every Step: Knowledge Distillation via Collaborative Teaching

High storage and computational costs obstruct deep neural networks to be...

7 Haoran Zhao, et al. ∙

research

∙ 07/06/2018

Combining SLAM with muti-spectral photometric stereo for real-time dense 3D reconstruction

Obtaining dense 3D reconstrution with low computational cost is one of t...

6 Yuanhong Xu, et al. ∙

Junyu Dong

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