research
∙
08/16/2023
The Expressive Power of Graph Neural Networks: A Survey
Graph neural networks (GNNs) are effective machine learning models for m...
share
research
∙
07/08/2023
Inductive Meta-path Learning for Schema-complex Heterogeneous Information Networks
Heterogeneous Information Networks (HINs) are information networks with ...
research
∙
06/21/2023
Online Unsupervised Video Object Segmentation via Contrastive Motion Clustering
Online unsupervised video object segmentation (UVOS) uses the previous f...
research
∙
02/20/2023
Self-Supervised Monocular Depth Estimation with Self-Reference Distillation and Disparity Offset Refinement
Monocular depth estimation plays a fundamental role in computer vision. ...
research
∙
02/16/2023
URCDC-Depth: Uncertainty Rectified Cross-Distillation with CutFlip for Monocular Depth Estimation
This work aims to estimate a high-quality depth map from a single RGB im...
research
∙
01/30/2023
Time Encoding Sampling of Bandpass Signals
This paper investigates the problem of sampling and reconstructing bandp...
research
∙
11/20/2022
Real-time Local Feature with Global Visual Information Enhancement
Local feature provides compact and invariant image representation for va...
research
∙
05/30/2022
SMUDLP: Self-Teaching Multi-Frame Unsupervised Endoscopic Depth Estimation with Learnable Patchmatch
Unsupervised monocular trained depth estimation models make use of adjac...
research
∙
04/06/2022
Implicit Motion-Compensated Network for Unsupervised Video Object Segmentation
Unsupervised video object segmentation (UVOS) aims at automatically sepa...
research
∙
02/10/2022
Space-Time Adaptive Processing Using Random Matrix Theory Under Limited Training Samples
Space-time adaptive processing (STAP) is one of the most effective appro...
research
∙
01/18/2022
Attentional Feature Refinement and Alignment Network for Aircraft Detection in SAR Imagery
Aircraft detection in Synthetic Aperture Radar (SAR) imagery is a challe...
research
∙
12/25/2021
DSRGAN: Detail Prior-Assisted Perceptual Single Image Super-Resolution via Generative Adversarial Networks
The generative adversarial network (GAN) is successfully applied to stud...
research
∙
12/07/2021
PTR-PPO: Proximal Policy Optimization with Prioritized Trajectory Replay
On-policy deep reinforcement learning algorithms have low data utilizati...
research
∙
11/16/2021
NENet: Monocular Depth Estimation via Neural Ensembles
Depth estimation is getting a widespread popularity in the computer visi...
research
∙
03/18/2021
Discriminative and Semantic Feature Selection for Place Recognition towards Dynamic Environments
Features play an important role in various visual tasks, especially in v...
research
∙
07/22/2019
Extended Local Binary Patterns for Efficient and Robust Spontaneous Facial Micro-Expression Recognition
Facial MicroExpressions (MEs) are spontaneous, involuntary facial moveme...
research
∙
05/24/2019
Learning to Identify High Betweenness Centrality Nodes from Scratch: A Novel Graph Neural Network Approach
Betweenness centrality (BC) is one of the most used centrality measures ...
research
∙
12/24/2018
VMAV-C: A Deep Attention-based Reinforcement Learning Algorithm for Model-based Control
Recent breakthroughs in Go play and strategic games have witnessed the g...
research
∙
12/13/2018
Radar Interferometry using Two Images with Different Resolutions
Radar interferometry usually exploits two complex-valued radar images wi...
research
∙
01/11/2018
