Colton Stearns (@stearns2colton) 's Twitter Profile
Colton Stearns

@stearns2colton

PhD student @Stanford | 4D perception and content creation, previously @MIT @Apple @Nvidia @TRI @Aptiv

ID: 1699986618344783872

linkhttps://coltonstearns.github.io/ calendar_today08-09-2023 03:23:08

8 Tweet

191 Followers

176 Following

Colton Stearns (@stearns2colton) 's Twitter Profile Photo

I'm excited to present CurveCloudNet this Friday afternoon #CVPR2025 with my collaborators Despoina Paschalidou Davis Rempe Jeong Joon Park Jiateng Liu Leonidas Guibas. It's been a long time coming, showing an exciting new way to think about point cloud perception! coltonstearns.github.io

I'm excited to present CurveCloudNet this Friday afternoon <a href="/CVPR/">#CVPR2025</a> with my collaborators <a href="/paschalidoud_1/">Despoina Paschalidou</a> <a href="/davrempe/">Davis Rempe</a> <a href="/jjpark3D/">Jeong Joon Park</a> <a href="/JiatengLiu/">Jiateng Liu</a> <a href="/GuibasLeonidas/">Leonidas Guibas</a>. It's been a long time coming, showing an exciting new way to think about point cloud perception! coltonstearns.github.io
Adam W. Harley (@adamwharley) 's Twitter Profile Photo

Very excited to speak tomorrow at the CV4Animals workshop #CVPR2025, where I will be talking about the huge team effort from my past year at Stanford: "Building a Foundation Model of Motion: Tracking Anything at Any Granularity" Talk details: cv4animals.com #CVPR2024

Colton Stearns (@stearns2colton) 's Twitter Profile Photo

Video to 4D is an incredibly challenging task! Excited to announce that Dynamic Gaussian Marbles was accepted to #SIGGRAPHAsia2024 with Adam W. Harley Mikaela Angelina Uy Federico Tombari Florian Dubost, PhD Gordon Wetzstein Leonidas Guibas. Check out our webpage and code! geometry.stanford.edu/projects/dynam…

Jihyeon Je (@jihyeonje) 's Twitter Profile Photo

Symmetries are everywhere — from butterfly’s wings to Greek temples. But detecting them in noisy data? That’s a challenge. 🦋🏛 Our #SIGGRAPHAsia2024 paper, Robust Symmetry Detection via Riemannian Langevin Dynamics, tackles this: symmetry-langevin.github.io 🧵(1/n)