Duolikun Danier


1.23, 1 Cathedral Square
Bristol BS1 5DD, United Kingdom
duolikun.danier@bristol.ac.uk



About

I am currently a PhD student in the Visual Information Laboratory at University of Bristol, supervised by Prof. David Bull and Dr. Fan Zhang. My main research interests include deep learning, computer vision and image/video processing.

I obtained MSc (Distiction) in Machine Learning from University College London, where I did research in computer vision with UCL Prism research group and finished my thesis on visual object tracking, supervised by Prof. Gabriel Brostow. I completed BEng (1st Class Hons.) in Electronic and Electrical Engineering at University College London under the supervision of Prof. Yiannis Andreopoulos.

My current research is mainly focused on video frame interpolation, video compression and video quality assessment.

Activities


Papers

arXiv Preprints


Enhancing HDR Video Compression through CNN-based Effective Bit Depth Adaptation
Chen Feng, Zihao Qi, Duolikun Danier, Fan Zhang, Xiaozhong Xu, Shan Liu, David Bull
arXiv, 2022

arXiv   

Publications


AAAI

LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Duolikun Danier, Fan Zhang, David Bull
AAAI Conference on Artificial Intelligence (AAAI), 2024

arXiv   

code   

TIP

BVI-VFI: A Video Quality Database for Video Frame Interpolation
Duolikun Danier, Fan Zhang, David Bull
IEEE Transactions on Image Processing (TIP), 2023

paper   

arXiv    project    database   

github   

CVPR

ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation
Duolikun Danier, Fan Zhang, David Bull
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022

arXiv    project   

code   

WACV

RankDVQA: Deep VQA based on Ranking-inspired Hybrid Training
Chen Feng, Duolikun Danier, Fan Zhang, David Bull
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024

arXiv   

code   

NeurIPS Workshop

Score Normalization for a Faster Diffusion Exponential Integrator Sampler
Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia
NeurIPS Workshop on Diffusion Models, 2023

arXiv   

code   

PCS

FloLPIPS: A Bespoke Video Quality Metric for Frame Interpoation
Duolikun Danier, Fan Zhang, David Bull
IEEE Picture Coding Symposium (PCS), 2022
Best paper award finalist

arXiv    project   

code   

ICIP

A Subjective Quality Study for Video Frame Interpolation
Duolikun Danier, Fan Zhang, David Bull
IEEE International Conference on Image Processing (ICIP), 2022

arXiv    project    database   

ICIP

Enhancing Deformable Convolution based Video Frame Interpolation with Coarse-to-fine 3D CNN
Duolikun Danier, Fan Zhang, David Bull
IEEE International Conference on Image Processing (ICIP), 2022

arXiv    project   

code   

ICIP

ST-MFNet Mini: Knowledge Distillation-Driven Frame Interpolation
Crispian Morris, Duolikun Danier, Fan Zhang, Nantheera Anantrasirichai, David Bull
IEEE International Conference on Image Processing (ICIP), 2023

arXiv   

code   

ISCAS

ViSTRA3: Video Coding with Deep Parameter Adaptation and Post Processing
Chen Feng*, Duolikun Danier*, Fan Zhang, David Bull
IEEE International Symposium on Circuits and Systems (ISCAS), 2022

arXiv   

PCS

Texture-aware Video Frame Interpolation
Duolikun Danier, David Bull
IEEE Picture Coding Symposium (PCS), 2021

paper   

arXiv   

ICML Workshop

You Need Only Uncertain Answers: Data Efficient Multilingual Question Answering
Zhihao Lyu, Duolikun Danier, Bowei Dai, Yuan Yao, Pasquale Minervini, Tim Z. Xiao, Yarin Gal
ICML Workshop on Uncertainty and Robustness in Deep Learning, 2020
PDF   

Thesis


Knowledge Distillation for Correlation Filter Trackers
Duolikun Danier, Gabriel Brostow
MSc thesis at University College London, 2020
PDF   

code   


Work Experience

  • Research Associate (part-time) | University of Bristol
    • Nov 2023 - Present, Bristol, United Kingdom.
    • Research on low-light image/video enhancement.
  • Research Intern | MediaTek Research
    • May 2023 - Nov 2023, Cambourne, United Kingdom.
    • Research on diffusion models for image generation.
  • Software Development Intern | Dyson
    • June 2020 - Sep 2020, Malmesbury, United Kingdom.
    • Robotics team.
    • Skills: C++, Python.
  • Hardware Development Intern | Dyson
    • June 2019 - Sep 2019, Malmesbury, United Kingdom.
    • Motor drives team.
    • Skills: MATLAB, Control Algorithms.

Selected Awards

  • IEEE PCS 2022 Best Paper Award Finalist (award letter)
  • University of Bristol - China Scholarship Council (UoB-CSC) PhD scholarship.
  • 2018 Institute of Engineering and Technology (IET) Undergraduate Grant.
  • 2018 UCL Faculty Undergraduate Scholarship for Excellence.
  • 2017, 2018 UCL EEE Department Goldsmid Prize.

Professional Activities

  • Reviewer of IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023.
  • Reviewer of IEEE/CVF International Conference on Computer Vision (ICCV) 2023.
  • Reviewer of IEEE International Conference on Image Processing (ICIP) 2021, 2022, 2023.
  • Reviewer of IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT).
  • Reviewer of IEEE Transactions on Multimedia (T-MM).
  • Reviewer of IEEE Multimedia.