1.3k citations · 1.5k across the 18 of their papers we have counts for
19 papers
The role of plasma beta in global coronal models: Bringing balance back to the force
Michaela Brchnelova, Błażej Kuźma, Fan Zhang +2
COCONUT is a global coronal magnetohydrodynamic model recently developed. In order to achieve robustness and fast convergence to steady-state, several assumptions have been made du…
HiNeRV: Video Compression with Hierarchical Encoding-based Neural Representation
Ho Man Kwan, Ge Gao, Fan Zhang +2
Learning-based video compression is currently a popular research topic, offering the potential to compete with conventional standard video codecs. In this context, Implicit Neural…
Heat statistics in the relaxation process of the Edwards-Wilkinson elastic manifold
Yu-Xin Wu, Jin-Fu Chen, Ji-Hui Pei +2
The stochastic thermodynamics of systems with a few degrees of freedom has been studied extensively so far. We would like to extend the study to systems with more degrees of freedo…
Extraordinary surface critical behavior induced by symmetry-protected topological state of a two-dimensional quantum magnet
Zhe Wang, Fan Zhang, Wenan Guo
Using Quantum Monte Carlo simulations, we study spin-1/2 diagonal ladders coupled by ferromagnetic Heisenberg interactions. The model can also be viewed as usual ladders with ferro…
LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Duolikun Danier, Fan Zhang, David Bull
Existing works on video frame interpolation (VFI) mostly employ deep neural networks that are trained by minimizing the L1, L2, or deep feature space distance (e.g. VGG loss) betwe…
BVI-VFI: A Video Quality Database for Video Frame Interpolation
Duolikun Danier, Fan Zhang, David Bull
Video frame interpolation (VFI) is a fundamental research topic in video processing, which is currently attracting increased attention across the research community. While the deve…
Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation
Chen Feng, Zihao Qi, Duolikun Danier +4
It is well known that high dynamic range (HDR) video can provide more immersive visual experiences compared to conventional standard dynamic range content. However, HDR content is…
FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation
Duolikun Danier, Fan Zhang, David Bull
Video frame interpolation (VFI) serves as a useful tool for many video processing applications. Recently, it has also been applied in the video compression domain for enhancing bot…
Enhancing VVC with Deep Learning based Multi-Frame Post-Processing
Duolikun Danier, Chen Feng, Fan Zhang +1
This paper describes a CNN-based multi-frame post-processing approach based on a perceptually-inspired Generative Adversarial Network architecture, CVEGAN. This method has been int…
A CNN-based Post-Processor for Perceptually-Optimized Immersive Media Compression
Angeliki Katsenou, Fan Zhang, David Bull
In recent years, resolution adaptation based on deep neural networks has enabled significant performance gains for conventional (2D) video codecs. This paper investigates the effec…
Enhancing Deformable Convolution based Video Frame Interpolation with Coarse-to-fine 3D CNN
Duolikun Danier, Fan Zhang, David Bull
This paper presents a new deformable convolution-based video frame interpolation (VFI) method, using a coarse to fine 3D CNN to enhance the multi-flow prediction. This model first…
A Subjective Quality Study for Video Frame Interpolation
Duolikun Danier, Fan Zhang, David Bull
Video frame interpolation (VFI) is one of the fundamental research areas in video processing and there has been extensive research on novel and enhanced interpolation algorithms. T…
ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation
Duolikun Danier, Fan Zhang, David Bull
Video frame interpolation (VFI) is currently a very active research topic, with applications spanning computer vision, post production and video encoding. VFI can be extremely chal…
Enhancing VMAF through New Feature Integration and Model Combination
Fan Zhang, Angeliki Katsenou, Christos Bampis +3
VMAF is a machine learning based video quality assessment method, originally designed for streaming applications, which combines multiple quality metrics and video features through…
Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases
Xiao Huang, Di Zhu, Fan Zhang +3
The rapid development of remote sensing techniques provides rich, large-coverage, and high-temporal information of the ground, which can be coupled with the emerging deep learning…
Distributionally Robust Local Non-parametric Conditional Estimation
Viet Anh Nguyen, Fan Zhang, Jose Blanchet +2
Conditional estimation given specific covariate values (i.e., local conditional estimation or functional estimation) is ubiquitously useful with applications in engineering, social…
A simulation environment for drone cinematography
Fan Zhang, David Hall, Tao Xu +2
In this paper, we present a workflow for the simulation of drone operations exploiting realistic background environments constructed within Unreal Engine 4 (UE4). Methods for envir…
MultiResolution Attention Extractor for Small Object Detection
Fan Zhang, Licheng Jiao, Lingling Li +2
Small objects are difficult to detect because of their low resolution and small size. The existing small object detection methods mainly focus on data preprocessing or narrowing th…
A Survey of Deep Learning-based Object Detection
Licheng Jiao, Fan Zhang, Fang Liu +4
Object detection is one of the most important and challenging branches of computer vision, which has been widely applied in peoples life, such as monitoring security, autonomous dr…