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Junlin Han |
Profile
Greetings, welcome to my website!- I am a first year PhD (DPhil) student at Torr Vision Group , University of Oxford , working with Prof. Philip Torr. I am also affiliated with GenAI , Meta, working as a full-time PhD student researcher.
- I obtained my BSc from Australian National University. During my undergraduate studies, I worked as a student researcher at CSIRO, ANU, and University of Adelaide under the supervision of Dr. Lars Petersson, Prof. Hongdong Li, and Prof. Ian Reid.
News
- [10.2023] Starting my PhD at Oxford and Meta!
- [07.2023] Hyperbolic Audio-visual Zero-shot Learning was accepted to ICCV 2023!
- [07.2023] Graduated from ANU with First-Class Honours.
- [10.2022] Awarded as a top reviewer in NeurIPS 2022!
- [07.2022] Blind Image Decomposition (BID) was accepted to ECCV 2022! A new low-level vision task that better adapts to complex real-world scenarios, check our project page for more.
- [05.2022] You Only Cut Once (YOCO) was accepted to ICML 2022! Check here for our work on how to perform data augmentation.
- [12.2021] Joined Australian Institute for Machine Learning (AIML), University of Adelaide as a visiting research intern, hosted by Prof. Ian Reid!
Research Interests
- My research focuses on computer vision, deep learning, and artificial intelligence, with a particular concentration on studying data.
- Topics I study include the following, which you can click on to expand:
(1) Generation and manipulation of 2D, 3D, and 4D visual data,
Selected projects: Image-to-Image translation, Image decomposition, NeRF editing, LLM for 3D scene generation, Large 3D generative models
(2) Use augmented, synthetic, and distilled data for training machine learning systems,
Selected projects: How to perform data augmentation, Synthetic data for training 3D generative models
(3) Understand the role of data through cognitive perspectives.
Selected projects: Memorability of images
I am also interested in extending my research to other scientific domains, such as exploring the applications of AI in the field of health and biology.
Education
Postgraduate (01.2024 - ongoing)- PhD in Computer Vision, University of Oxford Supervised by Prof. Philip Torr
- B.S. Information Technology (Honours), ANU GPA: 3.95/4.00
Research Experience
PhD Student Researcher at Facebook AI Research (FAIR), Meta (10.2023 - ongoing)- Topics: Generative models for 3D/4D creation
- Hosted by Dr. Filippos Kokkinos
- Topics: Data-centric AI, memorability
- Advised by Prof. Ian Reid
- Topics: Generative models, self-supervised learning
- Advised by Dr. Lars Petersson, Prof. Hongdong Li
Publications
Representative papers (as leading author) are highlighted.Academic Services
- Workshop Organization Foundation Models in the Wild, ICML 2024
- Conference review CVPR 2022 2023 2024, NeurIPS 2022 2023, ICML 2022 2024, ECCV 2022 2024, ICLR 2023 2024, ICCV 2023, ACCV 2022, AAAI 2023, BMVC 2023, WACV 2024
- Journal review Transactions on Image Processing (TIP), Transactions on Geoscience and Remote Sensing (TGRS), Pattern Recognition, Neurocomputing, Journal of Oceanic Engineering (JOE)
Skills
- Programming Language Proficient in MATLAB, Python
- Tool NumPy, PyTorch, Git, LaTeX
- Language English, Singlish, and Madarian
Familiar with Java, Haskell, R, CSS, Html, Assembly (ARMV7), SQL
Awards
- Meta PhD Scholarship, 2023 for PhD research at University of Oxford
- Top Reviewer, 2022 NeurIPS (Conference on Neural Information Processing Systems)
- Second Best Presentation Award, 2021 AIM (Active Integrated Matter) Conference
- Top-up Scholarship, 2021 for research work at Data61-CSIRO
- Undergraduate Vacation Scholarship, 2020 for summer research at Data61-CSIRO
Miscs
- At the beginning, I was born and raised in Chengdu, which is famous for spice and pandas.
- I enjoyed residing and pursuing my studies in the diverse and captivating countries of Singapore, Australia, and UK.
- Apart from my research, I am passionate about traveling (especially nature travel), taking photographs, fishing, and swimming.