interested in 3D vision, motion, driving, or robotics? consider applying to our graduate programs. the spring deadline is tomorrow.
we do our best to provide a research environment where students can reach their potential and publish in top-tier AI venues.
we regularly collaborate with leading AI labs worldwide and offer EU-level scholarships (+dorm/housing support), solid GPU resources (a decent local cluster + access to supercomputers like Leonardo and MareNostrum), and a fun, supportive lab environment :)
https://t.co/E2HxcBAcxq
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 family, as well as the millions of displaced Gazans. The situation has only gotten worse with time, and unfortunately now we see no other option but to help get his family out of Gaza.
The most critical situation at the moment is that of his father, Khalil (62), who suffers from critical health issues, including chronic high blood pressure and diabetes. The lack of essential medications and adequate nutrition in Gaza puts his life in constant danger. Please take a look at Mohammed thread, and consider supporting his fundraiser. Campaign link is within the thread, and if you can't donate, sharing is also caring.
Thank you.
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
📚 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.
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.
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
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 😃
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
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.
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
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.
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.
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!
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
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😬