Shadi Hamdan
@ShadiSHamdan
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PhD @ Autonomous Vision Group, KUIŞ AI Lab, Koc University CS BSc @ Koc University 🇯🇴/🇵🇸/🇸🇾
Joined December 2020
Important: one of my very dear friends, Mohammed Alsaqqa, is raising funds to help evacuate his family from Gaza. Mohammed is not only a great friend, but also an exemplary person and one of the brightest people I know. The past few months have been hell on earth for him and his
I am reaching out to you to support a crucial cause: helping my family members who are in dire need to find safety and security away from the hardships they're facing in Gaza. 1/5🧵 #Gaza #GazaIsStarving #Palestine #Help #GazaStrip #fund #gofundmedonations #support #diabetes
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Delighted that our paper "RbA: Segmenting Unknown Regions Rejected by All" has been accepted at #ICCV2023 paper: https://t.co/zBukJv7YUA project: https://t.co/8PxOFepNZ5 code: https://t.co/p8RHgTtRcW with @misrayavuz, João F. Henriques, @ftm_guney
github.com
Official code for RbA: Segmenting Unknown Regions Rejected by All (ICCV 2023) - NazirNayal8/RbA
we can now talk about “RbA: Segmenting Unknown Regions Rejected by All” accepted at #ICCV2023. we found that when we find and classify regions with Mask2Former, each object query focuses on a known class. so we can find unknowns as pixels rejected by all, hence the funny name 😃
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📚 Thrilled to have attended the MLSS^S 2023 in Kraków, Poland! 🇵🇱🤩 This summer school was an invaluable experience, introducing us to state-of-the-art topics in #MachineLearning and its applications across fundamental sciences.
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Here's a very brief (and definitely not comprehensive) compilation of my favorite snippets and lectures!
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This month, I had the pleasure of attending #ICVSS2023 and spending a week in Sicily, Italy! It was an intense week full of inspiring lectures by some of the best in the field! It was great to meet so many others that share similar interests in such a fun environment.
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Modelling the underlying 3D scene structure greatly improves unsupervised multi-object segmentation. Check out our method for estimating segmentation mask and depth at the same time, accepted at #ICCV2023: https://t.co/QntnXtlhqM great work by Sadra @__Everwake__ @KuisAICenter
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we can now talk about “RbA: Segmenting Unknown Regions Rejected by All” accepted at #ICCV2023. we found that when we find and classify regions with Mask2Former, each object query focuses on a known class. so we can find unknowns as pixels rejected by all, hence the funny name 😃
do you think a flying car is OoD? our algorithm certainly thinks so: (also OMG 😱)
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Happy to see that @OpenAI used our Chart Question answering benchmark ( https://t.co/85UP3QbFBS) in evaluating their newly released GPT-4. Here's GPT-4's output for a ChartQA sample ( https://t.co/viWy7HRzQc). Nice explanatory answer! @JotyShafiq @Ahmed_Masry97 @dxlong2000
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💫We're happy to share that our MS student @ozsoyserdar and faculty members @Alper_T_E and @denizyuret presented posters of the two papers at #NeurIPS2022 in USA, and our MS student @BozkurtBariscan made a successful virtual presentation in #NeurIPS2022 Oral Session. Congrats!👏🏼
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Very happy to announce our latest paper which has just been accepted to #NeurIPS2022! Very grateful to all my collaborators @ozsoyserdar @denizyuret @sercanarik and @Alper_T_E 😃
Self supervised learning is revolutionizing AI using large unlabeled datasets. We show that maximizing mutual information between alternative representations of the same input is a practical method for self supervised learning that is immune to the dreaded collapse problem.
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Immensely thankful to the Abdulla Al Ghurair Foundation for Education @AGFforE for their continuous support throughout my undergraduate education. Special thanks to all my fellow peers and mentors, without them none of this would have been possible :)
Five years ago, Shadi Hamdan set out on a journey at @kocuniversity in a different & new environment. Today, he is ranked 1st at the university & is the 1st international valedictorian ever since its founding. We are very proud of Shadi and his outstanding achievement. #AGFE
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Üniversite mezuniyetlerindeyim; yeğenlerim, öğrencilerim için. Koç Üniversitesi’nde bir ilk... İlk defa bir uluslararası öğrenci üniversitenin birincisi oluyor. Bilgisayar Mühendisliği’nden mezun, geleceğin AI uzmanı Suriye - Filistin kökenli Shadi Hamdan’ı yürekten kutluyorum.
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After 2 years of work by 442 contributors across 132 institutions, I am thrilled to announce that the https://t.co/wezEGzDEHt paper is now live: https://t.co/4Yg36EB9Ru. BIG-bench consists of 204 diverse tasks to measure and extrapolate the capabilities of large language models.
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For the past few months, @mmitchell_ai, @YJernite and I have been working on the exploration of popular NLP datasets. Here are some fun things we discovered!
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1- Letters of recommendation play a big role in the review process. Sure, there’s GPA, awards, SOP & maybe papers. But for me (& many colleagues), a single great letter >> everything else. Interestingly, 1 bad letter doesn't negatively impact a student's chances as much
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You may have heard that algorithms don't just reflect bias, they amplify it Here's a very visual example of that... We generate portraits that are "closest" to a given text prompt🤳 Here, the prompt is "terrorist" and the output isn't a bearded guy, or a hijabi... but BOTH😬
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Next week at 5:00 pm, Michael Gygli (Google Research, Zurich) will be visiting us to give a talk about their recent #AAAI2021 paper: "Towards more reusable and adaptive models for visual recognition" @GygliMichael
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