In this paper, we propose an iterative framework, which consists of two
...
Accurate segmentation of lesions is crucial for diagnosis and treatment ...
This paper proposes a hybrid synthesis method for multi-exposure image f...
Existing homography and optical flow methods are erroneous in challengin...
We present a novel camera path optimization framework for the task of on...
High dynamic range (HDR) deghosting algorithms aim to generate ghost-fre...
Convolution neural network (CNN) based methods offer effective solutions...
In this paper, we propose a luminance-guided chrominance image enhanceme...
In this paper, we propose a new fast CU partition algorithm for VVC intr...
Data association is important in the point cloud registration. In this w...
We present a new pipeline for holistic 3D scene understanding from a sin...
Point cloud registration is a key task in many computational fields. Pre...
The paper proposes a method to effectively fuse multi-exposure inputs an...
The paper proposes a solution based on Generative Adversarial Network (G...
Single image deraining regards an input image as a fusion of a backgroun...
3D object detection has become an emerging task in autonomous driving
sc...
Accurate 3D object detection from point clouds has become a crucial comp...
The channel redundancy in feature maps of convolutional neural networks
...
We present a new deep point cloud rendering pipeline through multi-plane...
The unprecedented performance achieved by deep convolutional neural netw...
Different rain models and novel network structures have been proposed to...
In recent years, deep learning based methods have made significant progr...
Rain removal in images/videos is still an important task in computer vis...
Removing rain effects from an image automatically has many applications ...
In this paper, we propose a quality enhancement network for Versatile Vi...
Rain streaks will inevitably be captured by some outdoor vision systems,...
Removing rain streaks from a single image continues to draw attentions t...
In this paper, we propose a deep learning architecture that produces acc...
In video compression, most of the existing deep learning approaches
conc...
Differential evolution is the conventional algorithm with the fastest
co...
Existing studies have shown that the conventional multi-objective
evolut...
Most real-world optimization problems often come with multiple global op...
Multi- or many-objective evolutionary algorithm- s(MOEAs), especially th...
The problem of low rank matrix completion is considered in this paper. T...
Increasing nature-inspired metaheuristic algorithms are applied to solvi...