Junlin (Hans) Han GenAI, Meta Torr Vision Group , University of Oxford Location: Meta Kings Cross, London N1C 4DB Profile | News | Research Interests | Education | Experience | Publications | Services | Awards| Miscs Email: junlinhcv@gmail.com; junlinhan@meta.com; junlin.han@eng.ox.ac.uk [GitHub] [Curriculum Vitae] [Google Scholar] [Twitter/X]

• I am a researcher at Meta Superintelligence Labs, 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.
• For undergrad and master's students at Oxford ONLY: If you are interested in an internship or 4YP at TVG working with me and Phil, please email me your current CV to discuss further.

• [09.2025] Hallucination at a Glance was accepted to NeurIPS 2025, a new dataset for benchmarking and training MLLMs for fine-grained visual reasoning!
• [07.2025] 3D2EP was accepted to SIGGRAPH 2025, a new method for 3D shape decomposition that represents objects as parametric primitives.
• [05.2025] Flex3D was accepted to ICML 2025, a new two-stage pipeline for high-quality 3D generation and reconstruction!
• [03.2025] One paper on point-cloud segmentation was accepted to CVPR 2025, congrats to Zhaochong!
• [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!

Research Interests

My research focuses on multimodal foundation models, including multimodal large language models and world generation models, as well as their interactions and integration. You can click on to expand some projects:

• PhD in Computer Vision, University of Oxford
  Supervised by Prof. Philip Torr

• B.S. Information Technology (Honours), ANU
  Supervised by Dr. Lars Petersson, Prof. Hongdong Li, and Prof. Ian Reid.

• FAIR (12.2025 – ongoing)
  Host: Dr. Mike Lewis;
  Topics: MLLM pre-training
• GenAI Llama Vision (08.2024 – 12.2025)
  Host: Dr. Filippos Kokkinos;
  Topics: MLLM post-training and pre-training
• GenAI RepliGen (10.2023 – 07.2024)
  Host: Dr. Filippos Kokkinos;
  Topics: 3D Generation, video generation

• Topic: Generative models for 3D world modeling

• Advisor: Prof. Ian Reid
• Topics: Data-centric AI, memorability

• Advisors: Dr. Lars Petersson and Prof. Hongdong Li
• Topics: Generative models, self-supervised learning

Representative papers (as leading author) are highlighted.

• Workshop Organization
Foundation Models in the Wild at ICML 2024 and ICLR 2025

• Conference review
CVPR 2022 2023 2024 2025, ICCV 2023, ECCV 2022 2024, ICML 2022 2024 2025, NeurIPS 2022 2023, ICLR 2023 2024 2025 2026, COLM 2025, SIGGRAPH Asia 2024 2025, ACCV 2022, BMVC 2023, WACV 2024, AAAI 2023

• Journal review
Transactions on Pattern Analysis and Machine Intelligence (TPAMI), International Journal of Computer Vision (IJCV), Transactions on Image Processing (TIP), Transactions on Geoscience and Remote Sensing (TGRS)

• 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.