Moayed Haji Ali (@moayedhajiali) 's Twitter Profile
Moayed Haji Ali

@moayedhajiali

CS PhD @RiceCompSci @vislang | Research Intern @Snap | GenAI & Video & Audio & Computer Vision

ID: 1877668329097211904

linkhttp://moayedha.com calendar_today10-01-2025 10:46:36

24 Tweet

54 Followers

137 Following

vislang.ai (@vislang) 's Twitter Profile Photo

Check our new work on cross-modal audio-video generation. Our work produces audio with the best alignment we have seen with respect to actions happening on video. Particularly useful in the era of astounding progress in generative video models.

Willi Menapace (@willimenapace) 's Twitter Profile Photo

Video-to-Audio and Audio-to-Video models struggle with temporal alignment. AV-Link solves the problem by conditioning on diffusion model features Great collaboration with Moayed Haji Ali , Aliaksandr Siarohin , Ivan Skorokhodov , Alper Canberk , Kwot Sin Lee, Vicente Ordonez and Sergey Tulyakov

Moayed Haji Ali (@moayedhajiali) 's Twitter Profile Photo

This was my first research paper in ICCV 2023. Came at an unfortunate time when GANs were dying and got no attention. But I really like this paper.

Moayed Haji Ali (@moayedhajiali) 's Twitter Profile Photo

I've been exploring what factors boost X reach. Surprisingly, number of likes and hashtags don’t seem to help at all. Have you noticed any patterns in your tweets?

Ivan Skorokhodov (@isskoro) 's Twitter Profile Photo

This year, our research team at Snap is hiring multiple Research Engineer interns to help us build large-scale generative models. You don't need to have papers, but should have solid coding and ML skills. It is a good opportunity for BS/MS and early PhD students. Apply at

Ivan Skorokhodov (@isskoro) 's Twitter Profile Photo

In the past 1.5 weeks, there appeared 2 papers by 2 different research groups which develop the exactly same (and embarrassingly simple) trick to improve convergence of image/video diffusion models by 20-100+% (sic!) arxiv.org/abs/2502.14831 arxiv.org/abs/2502.09509

In the past 1.5 weeks, there appeared 2 papers by 2 different research groups which develop the exactly same (and embarrassingly simple) trick to improve convergence of image/video diffusion models by 20-100+% (sic!)

arxiv.org/abs/2502.14831
arxiv.org/abs/2502.09509