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...
share
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...
research
∙
04/22/2023
SAWU-Net: Spatial Attention Weighted Unmixing Network for Hyperspectral Images
Hyperspectral unmixing is a critical yet challenging task in hyperspectr...
research
∙
04/19/2023
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction
Traditionally, numerical models have been deployed in oceanography studi...
research
∙
04/19/2023
Multi-scale Adaptive Fusion Network for Hyperspectral Image Denoising
Removing the noise and improving the visual quality of hyperspectral ima...
research
∙
03/24/2023
Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
Considering the ill-posed nature, contrastive regularization has been de...
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...
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...
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...
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...
research
∙
08/12/2022
Multiplex Heterogeneous Graph Convolutional Network
Heterogeneous graph convolutional networks have gained great popularity ...
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...
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...
research
∙
05/08/2022
Mutual Distillation Learning Network for Trajectory-User Linking
Trajectory-User Linking (TUL), which links trajectories to users who gen...
research
∙
04/22/2022
Enhancing the Transferability via Feature-Momentum Adversarial Attack
Transferable adversarial attack has drawn increasing attention due to th...
research
∙
04/20/2022
Scalable Motif Counting for Large-scale Temporal Graphs
One fundamental problem in temporal graph analysis is to count the occur...
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...
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...
research
∙
01/22/2022
Adaptive DropBlock Enhanced Generative Adversarial Networks for Hyperspectral Image Classification
In recent years, hyperspectral image (HSI) classification based on gener...
research
∙
01/22/2022
SAR Image Change Detection Based on Multiscale Capsule Network
Traditional synthetic aperture radar image change detection methods base...
research
∙
11/04/2021
Physics-Guided Generative Adversarial Networks for Sea Subsurface Temperature Prediction
Sea subsurface temperature, an essential component of aquatic wildlife, ...
research
∙
10/11/2021
SurroundNet: Towards Effective Low-Light Image Enhancement
Although Convolution Neural Networks (CNNs) has made substantial progres...
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...
research
∙
07/15/2021
Incorporating Lambertian Priors into Surface Normals Measurement
The goal of photometric stereo is to measure the precise surface normal ...
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...
research
∙
06/21/2021
Knowledge Distillation via Instance-level Sequence Learning
Recently, distillation approaches are suggested to extract general knowl...
research
∙
06/11/2021
Learning the Precise Feature for Cluster Assignment
Clustering is one of the fundamental tasks in computer vision and patter...
research
∙
04/27/2021
Network Embedding via Deep Prediction Model
Network-structured data becomes ubiquitous in daily life and is growing ...
research
∙
04/18/2021
Gaussian Dynamic Convolution for Efficient Single-Image Segmentation
Interactive single-image segmentation is ubiquitous in the scientific an...
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...
research
∙
04/12/2021
Dual Discriminator Adversarial Distillation for Data-free Model Compression
Knowledge distillation has been widely used to produce portable and effi...
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...
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...
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...
research
∙
03/18/2021
Similarity Transfer for Knowledge Distillation
Knowledge distillation is a popular paradigm for learning portable neura...
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...
research
∙
01/07/2021
Multimodal Gait Recognition for Neurodegenerative Diseases
In recent years, single modality based gait recognition has been extensi...
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...
research
∙
10/19/2020
SWIPENET: Object detection in noisy underwater images
In recent years, deep learning based object detection methods have achie...
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...
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...
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...
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...
research
∙
06/18/2020
Progressively Unfreezing Perceptual GAN
Generative adversarial networks (GANs) are widely used in image generati...
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...
research
∙
02/18/2020
High-Order Paired-ASPP Networks for Semantic Segmenation
Current semantic segmentation models only exploit first-order statistics...
research
∙
12/13/2019
Multi-level Similarity Learning for Low-Shot Recognition
Low-shot learning indicates the ability to recognize unseen objects base...
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...
research
∙
07/23/2019
Highlight Every Step: Knowledge Distillation via Collaborative Teaching
High storage and computational costs obstruct deep neural networks to be...
research
∙
07/06/2018
