Junlin Han

Profile

Greetings, welcome to my website!

I am a researcher at GenAI Llama team, Meta, and a second-year PhD (DPhil) student at the Torr Vision Group, University of Oxford, working with Prof. Philip Torr. Before that, I worked as a research scientist at Cybever, a 3D AIGC startup for a few months. I obtained my BSc from the Australian National University under the supervision of Dr. Lars Petersson, Prof. Hongdong Li, and Prof. Ian Reid.
I acknowledge that information asymmetry can significantly hinder research opportunities for junior students. If you’re interested in chatting about life, research, or potential collaborations, feel free to email me.

[12.2024] Our previous work on low-level vision won the best paper award in Remote Sensing!
[12.2024] We will be organizing the 2nd Workshop on Foundation Models in the Wild at ICLR 2025!

[11.2024] Two papers (3D-GPT and DreamBeast) were accepted to 3DV 2025. Congratulations to Chunyi and Runjia! 3D-GPT is pioneering work in large-scale 3D scene generation, and DreamBeast is a fascinating project generating fantastical 3D animals.
[07.2024] VFusion3D and Unicorns were accepted to ECCV 2024! VFusion3D is the first work exploring scalable 3D generative/reconstruction models as a step towards a 3D foundation. Check it out if you are interested in 3D generation.
[04.2024] We are organizing ICML 2024 Foundation Models in the Wild Workshop, submissions on related topics are very welcomed!
[10.2023] Starting my PhD at Meta and Oxford!
[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!

Recognizing that data is the core source from which AI's capabilities emerge, I study how data can be effectively created, utilized, and understood to enhance the capabilities of AI systems.
My work spans the entire data lifecycle, from the initial creation and manipulation of visual data to the development of methodologies that strategically leverage diverse data sources for improved model training and performance. Moreover, I investigate the fundamental principles that govern the interaction between data and AI, striving to understand how data shapes intelligence and decision-making. Through this multifaceted exploration of data, my research aims to pave the way for more powerful, efficient, reliable, and ultimately, more human-aligned AI.

(1) Generation and manipulation of 2D, 3D, and 4D visual data,

(2) Use augmented, synthetic, and distilled data for training AI models,

(3) Understand the role of data in AI.

Selected projects: Memorability of images

Postgraduate (01.2024 - ongoing)

Undergraduate (02.2019 - 07.2023)

PhD Student Researcher at GenAI, Meta (10.2023 - ongoing)

Research Scientist, Cybever (05.2023 - 09.2023)

Visiting Research Intern at AIML, University of Adelaide (12.2021 - 05.2023)

Research Student at Data61-CSIRO & ANU (08.2020 - 05.2023)

Representative papers (as leading author) are highlighted.

Meta PhD Scholarship, 2023
for PhD research at University of Oxford
Best paper award, 2022
from Remote Sensing journal
Chancellor's Letter of Commendation, 2022
for best academic performance at Australian National University
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

At the beginning, I was born and raised in Chengdu, which is famous for spice and pandas.
I studied and lived in China, Singapore, Australia, and UK.
Aside from research, I am passionate about traveling (especially nature travel), cooking, gaming, and swimming.