Lingjie Liu
@lingjieliu1
Assistant Professor at UPenn. Research interests: Neural Scene Representation, Neural Rendering, Human Performance Modeling and Capture.
ID: 1287028697174810625
https://lingjie0206.github.io 25-07-2020 14:15:44
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Weather radar, safer car seats, Google Each day you encounter something made possible by the basic research U.S. National Science Foundation funds. As we count down to our 70th anniversary—a year from today—we're sharing all the things that were #BroughtToYouByNSF nsf.gov/news/special_r…
DICE 🎲was accepted by #ICLR2025. With DICE, one can learn more about hand face interactions 👤🤏. This end-to-end method also enables better scalability to learn and model hand-face interaction. Congrats to Qingxuan Wu ! Check the video for more details :) #ICLR #ICLR2025
📢📢📢 "𝐑𝐚𝐝𝐢𝐚𝐧𝐭 𝐅𝐨𝐚𝐦: Real-Time Differentiable Ray Tracing", a mesh-based 3D represention. radfoam.github.io arxiv.org/abs/2502.01157 Co-lead by my PhD students Shrisudhan Govindarajan and Daniel Rebain, and w/ Kwang Moo Yi
We are looking for a summer research intern to work on improving TarFlow at Apple. You will be working with myself and a great group of researchers, Jiatao Gu Preetum Nakkiran David Berthelot etc. If interested, send your CV to szhai at apple.com by this week.
Excited to share our paper "World-consistent Video Diffusion (WVD)" has been accepted at #CVPR2025! arxiv.org/abs/2412.01821 Huge congrats to our amazing intern Qihang Zhang and colleagues Shuangfei Zhai Miguel Angel Bautista Kevin Miao Alexander Toshev & Josh Susskind!
Excited to launch Dyna Robotics with a team of incredible researchers, engineers and company builders! At Dyna, our mission is to bring affordable general-purpose AI robots to real production environments.
Hello 🇸🇬 Singapore! At #ICLR2025, I’ll be presenting our work 🎲DICE from Lingjie Liu's lab! With DICE, one can explore hand-face interactions 📷 — this feedforward method simultaneously estimates hand and face poses, contact points, and deformations from a single image using a
Come talk with Zhiyang (Frank) Dou and check out our work, DICE, on feedforward reconstruction of hand-face interaction!
🔍 3D is not just pixels—we care about geometry, physics, topology, and functions. But how to balance these inductive biases with scalable learning? 👀 Join us at Ind3D workshop #CVPR2025 (June 12, afternoon) for discussions on the future of 3D models! 🌐 ind3dworkshop.github.io/cvpr2025
