
Assistant Professor @BristolUni | Past: PhD & Postdoc @InfAtEd @EdinburghUni. Postdoc @MMLab, CUHK
Bristol
Joined March 2017
- Tweets118
- Following266
- Followers175
- Likes214
Wei-Hong Li retweeted
It is the *best* time to start your own research group in AI @bristolcs
Why?
🌟 Bristol hosts the largest supercomputer in the UK - Isambard AI, 4th greenest in the world.
🧑🎓 New undergrad degree CS w AI &multiple masters
6⃣Nov DL to apply for position, Link in 🧵
Wei-Hong Li retweeted
Now with the few missing people after dinner @WayHomeLi
@davmoltisanti
&recurring faces/ @_alexstergiou @chiaraplizzari @Sid__Bansal @JacobChalkie @prajwal_gatti @ahmad_darkhalil
It was a great week @eccvconf #ECCV2026 #Malmo for current members of the group and catching up with alumni! Here's a group pic missing a few,
@prajwal_gatti @Sid__Bansal @JacobChalkie @ahmad_darkhalil @zhifan_zhu @_alexstergiou @chiaraplizzari &Kevin, Toby, Evangelos.
Wei-Hong Li retweeted
Just arriving into Copenhagen on our way to Malmo for @eccvconf #ECCV2026 with current and some ex faces @bristolcs #MaVi
Wei-Hong Li retweeted
Our #ECCV2026 @eccvconf paper
Gen2Balance: Generative Balancing for Long-Tailed Video Action Recognition
now on ArXiv w/ code&data&models
prajwalgatti.github.io/gen2b…
Can we fill imbalanced action recognition datasets with generative images to outperform long-tail SOTA?
Yes we can
🧵
Wei-Hong Li retweeted
Fun fact: the apartment we rented in Oxford Summertown from 2021-2023 has accommodated @elliottszwu (CVPR20 best paper awardee) and @jianyuan_wang (CVPR25 best paper awardee) as subletters. Now also @ChuhanZhang5 - new CVPR26 best paper awardee. Grateful to be at @Oxford_VGG !!
Wei-Hong Li retweeted
I’m looking for a PhD student with UK home fee status to join my lab at Cambridge starting this October. If you’re interested and have research experience in multimodal spatial modeling or vision-based robot learning, email me your CV. Funding deadline is approaching very soon.
Wei-Hong Li retweeted
Thanks Bristol Centre for Supercomputing (BriCS) for featuring our work as users of the fantastic #IsambardAI
Short video featuring our research with @mwray0 @JacobChalkie @Sid__Bansal @sinha_saptarshi @terry_jhzhao00 @prajwal_gatti
@bristolcs @BristolUni
youtube.com/watch?v=jxrnbyvB…
Wei-Hong Li retweeted
Special thanks @_atewari @Cambridge_Eng for visiting us @BristolUni @bristolcs for a great #MaVi Seminar on "Physical Inductive Biases for World Models" and your thoughtful 1-1s with the researchers.
Have a good trip back to Cambridge and please visit us again soon,
Wei-Hong Li retweeted
📢 Preprint
Prime and Reach: Synthesising Body Motion for Gaze-Primed Object Reach
arxiv.org/abs/2512.16456
masashi-hatano.github.io/pri…
First work to synthesise the natural behavior of full-body priming (i.e. gazing towards) an object b4 reaching - curated from 5 public datasets.
1/3
Wei-Hong Li retweeted
Preprint 📢
The N-Body Problem: Parallel Execution from Single-Person Egocentric Video
Input: Single-person egocentric video 👤
Out: imagine how these tasks can be performed faster by N > 1 people, correctly 👥
📎arxiv.org/abs/2512.11393
👀zhifanzhu.github.io/ego-nbod…
1/4
Wei-Hong Li retweeted
Super-exciting talk by @anikembhavi @wayve_ai at @BristolUni #MaVi Seminar @bristolcs today!
World models for evaluating autonomous driving, GAIA evolution w GAIA3 released! End-to-end driving model &loads of insights!
Thanks for visiting &spending the day talking to researchers
Wei-Hong Li retweeted
Excited to be at #NeurIPS 2025 San Diego in person from 1st - 8th Dec! DM me for meeting/coffee chat about #image_editing, #video_understanding, #WorldModels and #RL for common research interests, potential collaboration, startup ideas ...
See you in San Diego⛴️! !
Also welcome tour, city walk, common game interests ......
Wei-Hong Li retweeted
If you are looking for a PhD position, Elliott’s group is an excellent choice. He offers not just cutting-edge research directions and impactful tasks but also detailed plans, constructive feedback, and personalized mentorship. These are all you need to grow as a researcher
I'm looking for two PhD students to join our team at Cambridge to work on 3D/4D modeling in various domains including generative media, robotics, and biology.
Apply to the PhD in Engineering program by December 2 ⌛️: postgraduate.study.cam.ac.uk…
Wei-Hong Li retweeted
📢 New Paper
PointSt3R: Point Tracking through 3D Grounded Correspondence
Can point tracking be re-formulated as pairwise frame correspondence solely?
We fine-tuning MASt3R with dynamic correspondences and a visibility loss and achieve competitive point tracking results
1/3
Wei-Hong Li retweeted
Many thanks 2 Francois Bremond (@inria_sophia) for a 2-day #Bristol visit @BristolUni #MaVi (Machine Learning &Computer Vision) research group hosted by @WayHomeLi. Great presentation incl. #CVPR2025 & #ICCV2025 papers from Francois's group, insights and future directions.
1/2
Wei-Hong Li retweeted
🚀 The next generation of AI models must go beyond creating pixels - it needs to build and understand worlds.
At SpAItial, we're developing foundation models that are physically grounded by design.
Excited to share what we've been building with an incredible team!
🚀🚀🚀Announcing our $13M funding round to build the next generation of AI: 𝐒𝐩𝐚𝐭𝐢𝐚𝐥 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧 𝐌𝐨𝐝𝐞𝐥𝐬 that can generate entire 3D environments anchored in space & time. 🚀🚀🚀
Interested? Join our world-class team:
🌍 spaitial.ai
#GenAI #3DAI
Wei-Hong Li retweeted
Build what you need and use what you build. This is a core philosophy of my research. It shifts the focus away from publishing “papers” to what really matters — impact. This thread unpacks why I think this is a successful approach to science. 1/10 Or see:
perceiving-systems.blog/en/p…
Wei-Hong Li retweeted
🎉 Excited to share Clarity, an open-source website template I designed to better present and visualise AI research! If you appreciate the minimalist design and want to use it in your own projects, please check it out here: shikun.io/projects/clarity
Wei-Hong Li retweeted
Why are reps converging? We suggest a few possibilities, including:
As we train on more tasks, there are fewer reps that can satisfy all, leading to an Anna Karenina scenario (arxiv.org/abs/2106.07682): all strong models are alike, each weak model is weak in its own way.
3/8
Wei-Hong Li retweeted
We are releasing 4M-21 with a permissive license, including its source code and trained models. It's a pretty effective multimodal model that solves 10s of tasks & modalities. See the demo code, sample results, and the tokenizers of diverse modalities on the website.
IMO, the multitask learning aspect of multimodal models has really taken a step forward. We can train a single model on many diverse tasks with ~SOTA accuracy. But a long way to go in terms of transfer/emergence.
🌐 4m.epfl.ch/
⌨️ github.com/apple/ml-4m/
Joint work w/ @EPFL_en @Apple.
We are releasing the 1st version of 4M, a framework for training multimodal foundation models across tens of modalities & tasks, based on scalable masked modeling.
Joint effort by @EPFL_en & @Apple.
4M: Massively Multimodal Masked Modeling
🌐4m.epfl.ch
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