Cusuh @cusuh_
Research Scientist @ Adobe | ML PhD from Georgia Tech | previously Google Research, MPI cusuh.github.io Joined April 2010-
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Poster session starting now!!
@AdobeResearch @cusuh_ @JuiHsienWang1 @rzhang88 @sarameghanbeery Poster will be presented at: 🗓️ Poster Session 2 on Friday, June 4 📍Poster #378, Exhibit Hall A
Cusuh retweeted
@AdobeResearch @cusuh_ @JuiHsienWang1 @rzhang88 @sarameghanbeery Poster will be presented at: 🗓️ Poster Session 2 on Friday, June 4 📍Poster #378, Exhibit Hall A
Exciting work on fine-grained visual similarity, led by my intern, Julia. Come by the afternoon poster session on Friday to say hi and learn more! #CVPR2026
Excited to share ID-Sim, our identity-focused similarity metric, presenting at #CVPR2026 this week in Denver! 🎉 Humans are remarkably good at distinguishing highly similar objects across different contexts. We asked: can we train a metric that does the same?
Great work from our intern, Jinbo, in collaboration with Long, Gabriel, Aniruddha, Chi-Wing, Tien-Tsin, and Feng @CUHKofficial, @AdobeResearch, @MonashUni
MotionCanvas presents a method for scene-aware, decoupled object and camera motion control for image-to-video generation. Come by the #SIGGRAPH2025 Video Generation session tomorrow @ 10:45am in West Building, Rooms 118-120 to learn more! motion-canvas25.github.io
Cusuh retweeted
MotionCanvas Cinematic Shot Design with Controllable Image-to-Video Generation
Cusuh retweeted
I've had so much fun experimenting with our latest @Adobe Firefly Video model - coming from a background in film, I've loved exploring the world of generative cinematography. A few of my favorite shots:
Cusuh retweeted
We’re excited to share progress on the all-new Firefly Video Model with Text to Video & Image to Video capabilities across @creativecloud, @AdobeExpCloud & @AdobeExpress workflows - all designed to be commercially safe & available in beta later this year. adobe.ly/4eebxFi
Cusuh retweeted
After a nearly 20 month journey we are finally going public with our work on video generative models at Adobe! This work started in Adobe Research and then became a collaboration with the Adobe Firefly team who brought it over the finish line. Super proud of everyone involved,
I'll be presenting our work tomorrow (6/19) 5-630pm in Arch 4A-E (poster #329)! #CVPR2024
In our latest work, we introduce personalized residuals for efficient personalization of T2I diffusion models and localized attention-guided sampling that dynamically blends the learned concept into new contexts. #CVPR2024 cusuh.github.io/personalized-r…
In collaboration w/ Matt, @jhhays, Nick, Yuchen, @rzhang88, Tobias @mlatgt @AdobeResearch
In our latest work, we introduce personalized residuals for efficient personalization of T2I diffusion models and localized attention-guided sampling that dynamically blends the learned concept into new contexts. #CVPR2024 cusuh.github.io/personalized-r…
Cusuh retweeted
Personalized Residuals for Concept-Driven Text-to-Image Generation We present personalized residuals and localized attention-guided sampling for efficient concept-driven generation using text-to-image diffusion models. Our method first represents concepts by freezing the
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