Zhanpeng Luo
@etherhypothesis
a 3d vision, high performace graphics researcher
Was dir gefallen könnte
Please share widely: Columbia's student-run Computer Science PhD Pre-Submission Application Review (PAR) Program is back in full swing! If you are interested in having current CS PhD students review your personal statement, please apply by November 10!! cs.columbia.edu/cscu-phd-par-p…
The power of world models
Looking for a PhD program where you can study vision from different perspectives (computer vision, neuroscience, perception, image processing)? Consider applying to NYU! visionscience.com/pipermail/visi…
🚀 Do world models need explicit 3D? Our answer: if you’re using Transformers, introducing 3D into DiT’s positional encoding is a natural choice. 📄 Paper: arxiv.org/pdf/2510.20385 🌐 HomePage: yunpeng1998.github.io/PE-Field-HomeP… 💻 Code: github.com/MTLab/PE-Field
Strongly agree with Jon - thanks for putting it together so concisely. IMO there is no point in either this form or the NeurIPS checklist - they come from a good place but ultimately serve only to make the whole experience even more cumbersome and stressful, with no upside.
It looks like @CVPR has implemented a new mandatory "Compute Reporting Form" that must be submitted alongside any paper submission. Though I am sympathetic to the motivations for this change, I am opposed to it for a variety of reasons:
The moment you realized nothing really matters other than enjoying the beauty of your life.
Heading to ICCV to see the latest and craziest in visual computing and machine learning! My schedules are wide open and I would love to chat about anything research, feel free to reach out!
Excited to join @CocoRobotics to lead the effort of solving sidewalk autonomy! Look forward to advancing real-world physical AI through large-scale robot learning.
Today we’re launching @CocoRobotics’ new Physical AI Lab led by @zhoubolei, one of the world’s most cited AI researchers, and our new Chief AI Scientist. Our fleet faces unpredictable environments daily. That real world data is the key to advancing physical AI.
Instant4D 4D Gaussian Splatting in Minutes videos display the reconstuction results from the sora generated videos. Each video is 9:16 aspect ratio with 5 seconds duration. The reconstruction process for each video takes around 5 minutes including preprocessing time
Huge congrats to @UCSanDiego's Hao Su on winning the prestigious Frontiers of Science Award! His groundbreaking "PointNet" paper, a cornerstone of 3D deep learning, has earned over 20,000 citations. A remarkable achievement!🎉🏆 #AI #DeepLearning #3D #UCSD
Our team at FAIR is looking to hire interns in 2026 to help us advance the foundations of generative modelling! metacareers.com/jobs/441969828…
🚀 We’re hiring interns — reach out if you’d like to work with us!
We are hiring PhD interns starting from Jan/2026. Please reach out if you are interested in working with us at Nvidia SIL (Spatial Intelligence Lab, Old Toronto AI). Topics including world model, RL post training and multi-modality generative models. Please reach out!
My team at NVIDIA Research in Seattle is looking for senior PhD robotics research interns for summer 2026. Apply online at nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAEx…, and mention the Seattle Robotics Lab (SRL) in your application!
Our team at Nvidia Spatial Intelligence Lab is hiring PhD research interns for 2026! If you’re excited about faster/smarter video models, please reach out by email and apply through this link: nvidia.eightfold.ai/careers?start=…
🚀 Looking for a PhD intern (Summer ’26) to push the frontier of 3D perception & foundation models. - 3D/4D reconstruction & scene understanding - Foundational 3D models for robotics & autonomous driving - Sparse voxel + attention–based architecture search - High-performance…
Instant4D: 4D Gaussian Splatting in Minutes Contributions: • We propose INSTANT4D, a modern and fully automated pipeline that reconstructs casual monocular videos within minutes, achieving a 30× speed up. • We introduce a grid pruning strategy that reduces the number of…
We are disappointed that some community members have been sending threatening and disrespectful messages to our organizers after NeurIPS decisions. While we always welcome feedback, we wish to remind all that our organizers are volunteers who work tirelessly on behalf of the…
[1/N] 🎥 We've made available a powerful spatial AI tool named ViPE: Video Pose Engine, to recover camera motion, intrinsics, and dense metric depth from casual videos! Running at 3–5 FPS, ViPE handles cinematic shots, dashcams, and even 360° panoramas. 🔗 research.nvidia.com/labs/toronto-a…
“Everyone knows” what an autoencoder is… but there's an important complementary picture missing from most introductory material. In short: we emphasize how autoencoders are implemented—but not always what they represent (and some of the implications of that representation).🧵
👇An interesting blog reframes Moravec’s Paradox for AI agents by @ysu_nlp. I’ve been reflecting on why building AI agents is so challenging, and part of these views are quite aligned with the blog: 1. Data bottleneck – We lack public, Internet-scale process datasets of real…
Computer Use: Modern Moravec's Paradox A new blog post arguing why computer-use agents may be the biggest opportunity and challenge for AGI. tinyurl.com/computer-use-a… Table of Contents > Moravec’s Paradox > Moravec's Paradox in 2025 > Computer use may be the biggest opportunity…
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