It’s grad school application season, and I wanted to give some public advice.

Caveats:
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> These are my opinions, based on my experiences, they are not secret tricks or guarantees

> They are general guidelines, not meant to cover a host of idiosyncrasies and special cases

We are trying to create a list of in-copyright novels that contain maps. If you know of some, drop them in the thread below! 🧵👇

For those at CVPR, @justachetan.bsky.social will be presenting this poster tomorrow at 10:30 (Exhibit hall D, Poster #34). Come hear about why neural field derivatives are noisy, and how we resurrect image processing ideas for neural fields!

Thrilled to attend my first-ever #CVPR2025! 🎉

Please reach out if you would like to chat about neural fields, dynamic scenes, video understanding, or just generally about gaming, musicals, or ☕️

I will also be presenting our poster ⬇️ (Come visit!)

Check out our poster at #CVPR2025 on accurate differential operators for hybrid neural fields (like Instant NGP)!

🗓️ Fri, June 13, 10:30 AM–12:30 PM
📍 ExHall D, Poster #34
🔗 justachetan.github.io/hnf-derivati...
👉 cvpr.thecvf.com/virtual/2025...

Details ⬇️ (1/n)

Reasoning about the "why" behind user behavior can improve LLM personas! ✨🧠📈

📝Excited to share our new work: Improving LLM Personas via Rationalization with Psychological Scaffolds

🔗 arxiv.org/abs/2504.17993
🧵 (1/n)

[1/10] Is scene understanding solved?

Models today can label pixels and detect objects with high accuracy. But does that mean they truly understand scenes?

Super excited to share our new paper and a new task in computer vision: Visual Jenga!

📄 arxiv.org/abs/2503.21770
🔗 visualjenga.github.io

Introducing MegaSaM!

Accurate, fast, & robust structure + camera estimation from casual monocular videos of dynamic scenes!

MegaSaM outputs camera parameters and consistent video depth, scaling to long videos with unconstrained camera paths and complex scene dynamics!