Defended my PhD today!!! 🥳
Thank you to everyone who supported me along the way, especially my advisor @jhhays for taking a chance on my clueless little undergrad self and putting up with me ever since.
I'll be joining Adobe next month as a research scientist under @aseemaa!
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!
https://t.co/06QsVvJNdf
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:
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. https://t.co/0ZPH03aYlJ
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,
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
https://t.co/4IosbycMwv
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
https://t.co/4IosbycMwv
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
Defended my PhD today!!! 🥳
Thank you to everyone who supported me along the way, especially my advisor @jhhays for taking a chance on my clueless little undergrad self and putting up with me ever since.
I'll be joining Adobe next month as a research scientist under @aseemaa!