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
- Oct 2023: The BVI-VFI paper is accepted by IEEE Transaction on Image Processing (TIP).
- Oct 2023: One co-authored paper RankDVQA is accepted by IEEE/CVF WACV 2024.
- May 2023: Started a research internship at MediaTek Research.
- Dec 2022: Paper was selected among the best paper finalists at PCS 2022.
- June 2022: Two papers accepted at ICIP 2022.
- Mar 2022: Paper "ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation" was accepted by CVPR 2022.
- Apr 2021: Paper "Texture-aware Video Frame Interpolation" was accepted at PCS 2021.
- Feb 2021: Started working as a Teaching Assistant for MSc unit Image and Video Coding.
- Nov 2020: Started my PhD study at University of Bristol.
Papers
arXiv Preprints
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LDMVFI: Video Frame Interpolation with Latent Diffusion Models
Duolikun Danier, Fan Zhang, David Bull arXiv 2023 arXiv code |
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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
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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 |
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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 |
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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) 2023 arXiv |
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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 |
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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 |
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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 |
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Score Normalization for a Faster Diffusion Exponential Integrator Sampler
Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia NeurIPS 2023 Workshop on Diffusion Models arXiv code |
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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 github |
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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 |
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Texture-aware Video Frame Interpolation
Duolikun Danier, David Bull IEEE Picture Coding Symposium (PCS) 2021 paper arXiv |
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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 2020 Workshop on Uncertainty and Robustness in Deep Learning |
Thesis
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Knowledge Distillation for Correlation Filter Trackers
Duolikun Danier, Gabriel Brostow MSc thesis at University College London 2020 PDF code |
Work Experience
- 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.