Zhanpeng @etherhypothesis
a 3d vision, high performace graphics researcher Pittsburgh Joined July 2022-
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Whatever the color and context, mitochondria are always beautiful
Fun challenge to attack with video models (or maybe just a simple image loss…): turn a video clip into a static palettized image + time-varying palette. Look forward to seeing a couple papers at the next CVPR/SIGGRAPH. 😉
Fun challenge to attack with video models (or maybe just a simple image loss…): turn a video clip into a static palettized image + time-varying palette. Look forward to seeing a couple papers at the next CVPR/SIGGRAPH. 😉
ah wake up and run for your next CVPR paper
ah wake up and run for your next CVPR paper
🚀 Join Us: Research Internships in Embodied Intelligence The USC Geometry, Vision, and Learning Lab (usc-gvl.github.io) is seeking highly motivated interns to push the frontiers of AI, robotics, and 3D computer vision. You’ll work on large-scale VLA models,…
On #ICML2025 16 Jul, 11 AM We present Meta Locate 3D: a model for accurate object localization in 3D environments. Meta Locate 3D can help robots accurately understand their surroundings and interact more naturally with humans. Demo, model, paper: go.fb.me/2lx31s
📢 The submission portal for #3DV2026 is LIVE on OpenReview 👉 openreview.net/group?id=3DV/2… Ready to ride the wave? 🌊 Deadline Aug 18 (≈ 5 weeks)—bring your best and make a splash!
when you quantize the model to FP4 and the generations have lower quality but lowkey more aura
Here's a recent talk I gave recapping the last 6-12 months of AI progress, why getting perfect models is hard, how labs are likely approaching the next phase of training (for agents), and other interesting tidbits across the reasoning landscape. Topics: 00:00 Introduction & the…
It's been a blast working on this! I'm very excited about the future of fault tolerant training
the FP8 values in your model after 50 layers of quantize/dequantize operations
Just touched down from the air back to solid ground😄 We're honored to receive the Best Paper Award this year, while I want to give a special shout-out to the authors of the brilliant paper Dust3R: Shuzhe Wang (@riverakid1), Vincent Leroy (@Vinc3nt_Leroy), Yohann Cabon, Boris…
Just touched down from the air back to solid ground😄 We're honored to receive the Best Paper Award this year, while I want to give a special shout-out to the authors of the brilliant paper Dust3R: Shuzhe Wang (@riverakid1), Vincent Leroy (@Vinc3nt_Leroy), Yohann Cabon, Boris…
RLVR is not just about RL, it's more about VR! Particularly for LLM coding, good verifiers (tests) are hard to get! In our latest work, we ask 3 questions: How good are current tests? How do we get better tests? How much does test quality matter? leililab.github.io/HardTests/
Had a great time at this CVPR community-building workshop---lots of fun discussions and some really important insights for early-career researchers. I also gave a talk on "Research as an Infinite Game." Here are the slides: canva.com/design/DAGp0iR…
Had a great time at this CVPR community-building workshop---lots of fun discussions and some really important insights for early-career researchers. I also gave a talk on "Research as an Infinite Game." Here are the slides: canva.com/design/DAGp0iR… https://t.co/t89L22PFF3
4DGT: Learning a 4D Gaussian Transformer Using Real-World Monocular Videos Abstract: We propose 4DGT, a 4D Gaussian-based Transformer model for dynamic scene reconstruction, trained entirely on real-world monocular posed videos. Using 4D Gaussian as an inductive bias, 4DGT…
Great to see the wonderful series of work that @WangCarrey has been leading at UIUC. We also had a fun collaboration recently together with my incoming PhD student Shijue. Check out our latest release 𝘈𝘥𝘢𝘊𝘵𝘳𝘭: 𝘈𝘥𝘢𝘱𝘵𝘪𝘷𝘦 𝘢𝘯𝘥 𝘊𝘰𝘯𝘵𝘳𝘰𝘭𝘭𝘢𝘣𝘭𝘦…
Great to see the wonderful series of work that @WangCarrey has been leading at UIUC. We also had a fun collaboration recently together with my incoming PhD student Shijue. Check out our latest release 𝘈𝘥𝘢𝘊𝘵𝘳𝘭: 𝘈𝘥𝘢𝘱𝘵𝘪𝘷𝘦 𝘢𝘯𝘥 𝘊𝘰𝘯𝘵𝘳𝘰𝘭𝘭𝘢𝘣𝘭𝘦… https://t.co/aN0vrhMLGT
The craziest paper I've been on for a while. Qwen 2.5 Math w RLVR can learn with random rewards per rollout prompt in GRPO due to some funky clipping of the logratios and qwen's earlier training heavily on code-integrated reasoning for math.
The craziest paper I've been on for a while. Qwen 2.5 Math w RLVR can learn with random rewards per rollout prompt in GRPO due to some funky clipping of the logratios and qwen's earlier training heavily on code-integrated reasoning for math.
Introducing QuickVideo, 🚀 speeding up the end-to-end time from the mp4 bit stream to VideoLLM inference by at least 2.5 times for hour-long video understanding (e.g 1024 frames) on a single 40GB GPU. 🤔What are the key challenges of hour-long video understanding? 1.…

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