Assistant Professor @PurdueCS
West Lafayette, IN
Joined April 2017
- Tweets73
- Following382
- Followers374
- Likes420
Sotiris Nousias retweeted
I’m excited to share our Nature paper on seeing around corners with consumer LiDARs!
We show that consumer LiDAR sensors — in your smartphones, AR headsets, self-driving cars, and robots — can be used to see objects hidden around corners.
youtube.com/watch?v=N3LEhhQz…
Sotiris Nousias retweeted
📢📢📢 Velox 🚀: Learning Representations of 4D Geometry and Appearance
In our #CVPR2026 paper, we introduce a method for learning a native 4D representation, useful for many downstream tasks, such as video-to-4D, 3D tracking, cloth simulation, and others!
🌐: apple.github.io/ml-velox
📝: arxiv.org/abs/2605.04527
Sotiris Nousias retweeted
⏰ Remember: #ICCP2026 paper deadline is coming up this Friday already, welcoming submissions across various fields around computational imaging!
Details can be found on our website: iccp2026.iccp-conference.org…
Sotiris Nousias retweeted
On Sensor Vision Workshop at #CVPR2026. New deadline for abstracts and demos: 10th April; we welcome submissions of work-in-progress or work published elsewhere. Come and discuss the future of ultra-efficient computer vision on the edge, where pixels and processing come together.
Sotiris Nousias retweeted
Congratulations to Dr. @sherwinbahmani for successfully defending his thesis! It was wonderful to work together (and shout-out to co-supervisor @taiyasaki). Onwards and upwards!
P.S. Check out all Sherwin's amazing work: sherwinbahmani.github.io/
Sotiris Nousias retweeted
📢 Generative View Stitching!
We worked with @ndsong95 to tame the short scope of view conditioned video models.
Auto-regressive sampling extends the duration of generated videos but collapse when they are camera conditioned.
Check how we solved it on our new paper.
andrewsonga.github.io/gvs/
Sotiris Nousias retweeted
📢 Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation
Got only one or a few images and wondering if recovering the 3D environment is a reconstruction or generation problem? Why not do it with a generative reconstruction model!
We show that a camera-conditioned video diffusion model can be transformed into a generative reconstruction model that directly outputs a high-quality 3D Gaussian Splatting representation through self-distillation, without requiring real-world training data.
Check out our results in the video (wait for dynamic scenes in the second half!) :
Project Page: research.nvidia.com/labs/tor…
Code and Models: github.com/nv-tlabs/lyra
Paper: arxiv.org/abs/2509.19296
Sotiris Nousias retweeted
Every lens leaves a blur signature—a hidden fingerprint in every photo.
In our new #TPAMI paper, we show how to learn it fast (5 mins of capture!) with Lens Blur Fields ✨
With it, we can tell apart ‘identical’ phones by their optics, deblur images, and render realistic blurs.
Sotiris Nousias retweeted
Checkout this episode of the @executive_code for a dive into our work on modeling light propagation!
That’s exactly what we dive into on the new Executive Code episode with @anagh_malik (PhD @ UofT, intern @ Apple). From capturing photons at the speed of light to seeing around corners — it’s sci-fi made real.
🔗youtu.be/YS4S_h_vIk4?si=8ZQb…
Sotiris Nousias retweeted
Come see @megatran23 present our work on MeCapture at #SIGGRAPH2025 appy hour! Based on our UIST2024 paper with @ethane_yang and @lique_taylor.
Sotiris Nousias retweeted
🚀 Just published in Nature Photonics: synthetic aperture waveguide holography—a new path toward ultra-thin, high-quality 3D mixed reality displays.
📄 nature.com/articles/s41566-0…
#Photonics #Holography #MR
1/5
Sotiris Nousias retweeted
Happy to have led local arrangements for #ICCP2025! Massive thanks to our volunteers for making it possible: @Dongyu_Du, @andrewyguo, Len Luong, Ali SaraerToosi, Howard Xiao, @AndrewEJXie, Sophia Yang, and @KellyKZhu! And, @Sotiris_No and Jazmin Diaz for being the best co-chairs!
📸 Join us at ICCV 2025 for our workshop on Computer Vision with Single-Photon Cameras (CVSPC)!
🗓️ Sunday, Oct 19, AM – PM at the Hawai'i Convention Center.
🔗 Website: cvspc.cs.pdx.edu/.
🗣️ Invited Speakers: Mohit Gupta, @mpotoole, @Dongyu_Du, @DaveLindell, @adaveiitm.
📍Submit your poster and join the conversation! We welcome early ideas & in-progress work.
📝 Poster submission form: lnkd.in/gY5yMypc.
🏆 Stay tuned for a CVSPC competition announcement!
👥 Thanks to co-organizers: Atul Ingle, Mel White, Mian Wei and Sacha Jungerman!
@ICCVConference
Sotiris Nousias retweeted
📣📣📣 Neural Inverse Rendering from Propagating Light 💡 just won Best Student Paper award at #CVPR!!!
📢📢📢 Neural Inverse Rendering from Propagating Light 💡
Our CVPR Oral introduces the first method for multiview neural inverse rendering from videos of propagating light, unlocking applications such as relighting light propagation videos, geometry estimation, or light component separation!
\w @imarhombus (co-first), @AndrewEJXie, @mpotoole, and @DaveLindell
Sotiris Nousias retweeted
📢Excited to be at #ICLR2025 for our paper:
VD3D: Taming Large Video Diffusion Transformers for 3D Camera Control
Poster: Thu 3-5:30 PM (#134)
Website: snap-research.github.io/vd3d…
Code: github.com/snap-research/ac3…
Also check out our #CVPR2025 follow-up AC3D: snap-research.github.io/ac3d…
Sotiris Nousias retweeted
MambaTM is our latest image restoration method for atmospheric turbulence
To appear @CVPR 2025 (Highlight paper 13.5%)
arxiv.org/abs/2504.02697
- Learned phase distortion in the loop
- Mamba state-space model for speed
All credits to Xingguang Zhang @PurdueECE
Sotiris Nousias retweeted
Happy to share that 🧢CAP4D🧢 has been accepted to CVPR 2025 (Oral)! Looking forward to seeing you all in Nashville 🎉
Introducing 🧢CAP4D🧢
CAP4D turns any number of reference images (single, few, and many) into controllable real-time 4D avatars. 🧵⬇️
Website: felixtaubner.github.io/cap4d…
Paper: arxiv.org/abs/2412.12093
Sotiris Nousias retweeted
I will be in Tokyo this week for #SiggraphAsia2024 to present our work "Coherent Optical Modems for Full-Wavefield Lidar". We repurposed an off-the-shelf optical modem, typically used for telecommunications, to introduce Full-Wavefield Lidar: a new imaging modality for simultaneous measurement of mm-scale 3D geometry, velocity, and polarization with only 1 microsecond exposure at eye-safe power regime.
📜 Paper: arxiv.org/abs/2406.08439
🌐 Project Webpage: dgp.toronto.edu/fullwavefiel…
Joint work with @LightIsMyGame, @maxx_wu, Doug Charlton, Mohammad Pasandi, @kyroskutulakos, and @DaveLindell.
(1/4)
