Sameh Khamis

Co-Founder, Research Scientist @GetRembrand | #ComputerVision #ML #Graphics. Ex @nvidia, @Google, @MSFTResearch. Opinions are my own (if I ever tweet).

[Koki Nagano @luminohope]

Come experience #AI-mediated 3D Video conferencing @SIGGRAPH Emerging Technologies from @NVIDIA. We use AI to make the 3D Telepresence accessible and to unlock new experiences. Experience powered by super cool autostereoscopic displays from @LKGGlass and @Acer SpatialLabs Laptop

[Koki Nagano @luminohope]

At @SIGGRAPH 2023, we present a new approach that makes 3D telepresence more accessible with the help of generative AI. Our method uses a minimal input (like a single unposed RGB image), and operates in real-time on consumer-grade desktops https://t.co/GFZQ2kNe6e

[Koki Nagano @luminohope]

We also present another paper at @SIGGRAPH 2023 on neural implicit 3D Morphable Models that can be used to create a dynamic 3D avatar from a single in-the-wild image. (Lead author @connorzl). https://t.co/BcJNtTSoZf

[Francis Williams @frncswllms]

Looking for summer internship working at the cutting edge of 3D reconstruction, 3D generation, Neural Fields and more? Our group (https://t.co/syywlPtwCA) is looking for motivated PhD students. DM me with your CV and webpage to to apply!

[Ting-Chun Wang @tcwang0509]

Check out Lumos: our new portrait relighting framework for SIGGRAPH Asia 2022!
Paper: https://t.co/cyMPJhTzeJ
Project: https://t.co/AXUUjioK79
Demo: https://t.co/DJIF9dJMLV
@luminohope @sameh_khamis @jankautz @liu_mingyu

[Sanja Fidler @FidlerSanja]

Our Toronto Annotation Suite (TORAS), an AI-powered annotation webservice, is finally public! It has been in development for almost 5 years by my students at @UofT, in collaboration with Abelium. We hope it's useful to anyone wanting to quickly annotate images! Drop us feedback!

[Sameh Khamis @sameh_khamis]

Check out our latest work: Neural Kernel Fields (NKF) at CVPR - https://t.co/C44nmYTf5h

[Francis Williams @frncswllms]

(1/N) 🎷🎷🎷 Check out our work on Neural Kernel Fields (NKF) at #cvpr2022 at Halls B2-C! We present a new type of #neuralfields based on learned kernels. NKF pushes the state of the art in shape reconstruction from points and shows unprecedented generalization ability:

[Matan @matanatzmon]

Happy to share our #CVPR2022 work on Frame Averaging for Equivariant Shape Space Learning.

paper: https://t.co/RIQmyceU4H
project: https://t.co/LZG13CYWfZ
video: https://t.co/omXnl6W18U

Joint work with @luminohope, @FidlerSanja , @sameh_khamis, @lipmanya

[Koki Nagano @luminohope]

We released the code and models for our upcoming #CVPR2022 paper EG3D for unsupervised generation of 3D-aware images and geometry from single-view 2D image collections https://t.co/4sISaGMmoF

[Miles Macklin @milesmacklin]

Just pushed version 0.2.0 of Warp. Adds support for multidimensional arrays, slices, additional NVDB formats, and better support for differentiating through dynamic loops: https://t.co/cuP2bmreqm

[𝖒𝖒𝖆𝖑𝖊𝖝 @mmalex]

Yay! I can finally say that my first 'proper' academic paper - with NVIDIA friends Thomas Müller, @c_schied & Alex Keller - is coming to SIGGRAPH! It's old news in the fast paced world of ML research, so I thought I'd add a note on where it come from: https://t.co/2Lxj3DVMp8.

[NVIDIA Workstation @NVIDIAworkstatn]

From neural rendering to holography, NVIDIA will be sharing a record 16 research papers on advancements in graphics this year at @siggraph. Get a sneak peek in our blog.

#SIGGRAPH2022 https://t.co/2ORBAzvwV4

[NVIDIA DRIVE @NVIDIADRIVE]

Get a first look at novel #AI tools for scenario reconstruction in @nvidiaomniverse — a key building block for #autonomousvehicle training, testing and validation: https://t.co/vHIjSUCFn2 #GTC22

[Miles Macklin @milesmacklin]

Very happy to announce the public source release of NVIDIA Warp at #GTC22. Warp is a Python framework that makes it easy to write differentiable GPU simulation and graphics code. Code is here: https://t.co/cuP2bmreqm.

[Orazio Gallo @0razio]

Would you like to do a research #internship at @NVIDIAAI? Perfect timing! If you are a PhD student working on low-level computer vision or computational photography shoot me an email/DM with a link to your website or publications.

[Sameh Khamis @sameh_khamis]

@yongyuanxi saved you a $1000 https://t.co/F1gbrR6gGE

[Michael Black @Michael_J_Black]

I get a lot of reviews that say my work is not novel and I bet I'm not alone. It's always frustrating because I see novelty where the reviewer doesn't. Rather than rebut every critique, I've written a blog post to help reviewers think about novelty. https://t.co/UXLabOkYcn

[Towaki Takikawa / 瀧川永遠希 @yongyuanxi]

"3D Object Reconstruction and Representation using Neural Networks" published in GRAPHITE 2004 by Peng et al. proposed neural implicit surfaces ages before anyone else did. Visionary work (even had a cat!) which doesn't seem to get the credit it should!

[Jan Kautz @jankautz]

Try NVIDIA Canvas (using our GauGAN2 AI model), now with 4x resolution and more materials. https://t.co/BE2noXwMMR

[Sanja Fidler @FidlerSanja]

@NVIDIAAI Toronto AI Lab (https://t.co/RpusM4YOdk) is looking for motivated interns (undergrad./MSc/PhD) to join our group! We are working on 3D/4D vision, simulation for robotics/AV, animation, generative modeling, content creation, and more. Apply here: https://t.co/ZQnINBB0tu