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Richard Zhang
@rzhang88
Sr Research Scientist @AdobeResearch PhD @berkeley_ai, BS/MEng @cornellece 🤖 Computer vision, deep learning, graphics
San Francisco, CA
Joined March 2010
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    Replying to @waxpancake @minimaxir and @ByFrustrated
    Very neat trick to tease this out. Reproduced: - labs.openai.com/s/7l52BzoeWjpX… - labs.openai.com/s/0bsGqYB35CCm… - labs.openai.com/s/tH77ryI0WO4j… I cherry-picked from ~8 generations, since #dalle #dalle2 is adding a different set of word(s) for each generation
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    Dear orange picture people: you obviously loaded as BGR by accident. Simply flip the channels and you're good to go 👍 PC: Alexei A. Efros
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    Replying to @AlexTamkin
    This is from buggy implementations in standard libraries, **not a fundamental mathematical issue**. For large factors, buggy implementations are essentially equivalent to naive subsampling. The libraries will be fixed...eventually. Attached image from arxiv.org/abs/2104.11222
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    Ask any graphics or signal processing person: *not antialiasing* and ignoring Nyquist sampling theorem is a bug pip install antialiased-cnns import antialiased_cnns model = antialiased_cnns.resnet50(pretrained=True) Now your convnet is antialiased 😃
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    Amazing GenAI results don't just come from thin air! They're a reflection of the underlying training data. Can we specifically identify the highly influential data? See our ICCV work on Data Attribution w/ @ShengYuWang6, @junyanz89, A. A. Efros: peterwang512.github.io/GenDataAttribu… 1/
    00:00
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    I switched groups in my 3rd year, pushed hard but still missed 2 paper deadlines. The whole PhD thing was not looking very good. After deciding not to submit to CVPR that night, my advisor said "let's chat". I thought I was in trouble...1/2
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    I was included on MIT @techreview's Innovators Under 35 list (at a youthful 34.9)! technologyreview.com/innovator/rich… My appreciation to the wonderful collaborators, mentors, and labmates at @AdobeResearch and @berkeley_ai for the past decade 1/
    "I'm so grateful to my labmates and mentors, who are world-class researchers," shares Senior Research Scientist @rzhang88 on his name being added to @techreview's prestigious list of top Innovators Under 35 for his achievements in gen AI & image forensics. adobe.ly/45O734E
    Senior Research Scientist Richard Zhang has been named to the Top 35 Innovators Under 35 list by MIT Technology Review
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    When I started working on this 5 years ago, I often used family photos to test. My grandma (who recently passed) always got a kick out of it. Funnily, this image started propagating into other people's papers/presentations Happy we've improved @Photoshop Colorize! Try it out
    Over here crying my eyes out with this new color changing Neural Photoshop filter. I colorized my late grandma and grandpa's wedding photo 6 years ago in college. It took me a total of 5hrs to do so. The image below, took 2 minutes with one click of a button #AdobeMAX #photoshop
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    Replying to @rzhang88
    He said, "Richard, you have all the skills to be a great researcher. Don't worry, keep doing what you're doing, and it will all be okay". A few months later, the colorization paper happened. It all ended up okay. My wonderful advisor and labmates saved my career. 2/2
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    I'm...IN!!!! #dalle2 "an asian male happy to be granted access to an AI text-to-image program typing in every waking thought he has into it"
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    Swapping autoencoder code by Taesung Park is out now! NeurIPS '20. Also w/ @junyanz89 @oliverwang81 @JingwanL @elishechtman Alexei Efros Github: github.com/taesungp/swapp… Website: taesung.me/SwappingAutoen… 3 min video: youtube.com/watch?v=0elW11…
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    5 years ago, @junyanz89 taught me how to hotkey Powerpoint alignment keys, and it changed my figure-making life. Happy ECCVing
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    Somehow, our ECCV'16 project website got popular and started propagating around richzhang.github.io/colorization/. Four years later, I have gotten around to cleaning it up. Hope folks find it helpful: github.com/richzhang/webp…. Originally made by most helpful postdoc ever, @phillip_isola
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    Modern convnets ignore the Nyquist sampling criterion, making them unstable. Come see how simple antialiasing can make your net more stable, accurate, and robust! 3pm tomorrow (Wed) in Seaside Ballroom. bit.ly/2ZjzBAc #ICML2019
    GIF