Image and Video Understanding Lab (IVUL) @KAUST_News supervised by Prof. @BernardSGhanem

KAUST, Saudi Arabia
Joined March 2020
KAUST Computer Vision Lab (IVUL) retweeted
Our paper, "Multimodal Safety Evaluation in Generative Agent Social Simulations," has been accepted to #ACL2026NLP! 📰Stop by Adonai's presentation today, July 5, in the Grand Hall from 4:00–5:30 PM (Paper #5266) @AdonaiVera19, @CarlosH_93, H Hamid, D Kim, @BernardSGhanem
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Come visit the IVUL posters and oral presentations at #CVPR2026! @KAUST_News Poster numbers and presentation times for each paper are highlighted in the colored boxes. See you there!
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🎉 5 papers accepted to #CVPR2026! Huge congrats to all the authors and our collaborators!🙌 @KaustVision Let's connect in Denver in June! 🇺🇸 👇Check out the details of our papers in the image. #MachineLearning #AI #ComputerVision
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Correction: In the image, the affiliation for the paper EasyV2V is incorrectly listed as Meta AI. The correct affiliations are KAUST and Snap Inc. Apologies for the mistake.
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KAUST Computer Vision Lab (IVUL) retweeted
Frontier labs spend millions purchasing RL environments for training terminal agents. But we decided to open source it. Introducing SETA: Scaling Environments for Terminal Agents, the largest open source training RL environments for terminal agents. We released: - 400 termianl agent training environments, more to come - SOTA agent harness on terminal-bench with CAMEL terminal toolkit - The RL training pipeline and trained SETA-RL-Qwen3-8B model weights
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KAUST Computer Vision Lab (IVUL) retweeted
🧵1/N 🔥Introducing EasyV2V from Snap Research! 📌TLDR: We propose a simple and powerful model for instructional video editing! Just use a text prompt to edit your video! #Aiart #AIArtwork #Prompt #ArtificialIntelligence #GenerativeAI #MachineLearning #AI
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KAUST Computer Vision Lab (IVUL) retweeted
Wenxuan Zhu (@WenxuanZhu75798) will present our ICCV paper today: “4D-Bench: Benchmarking Multi-modal Large Language Models for 4D Object Understanding”, co-authored with @1zhengcheng , Chiawen Lin, Jinjie Mai, Chen Jun, @Eng_Hemdi ,@SarisRo , @moElhoseiny ,@BernardSGhanem 😊We introduce the first comprehensive benchmark evaluating MLLMs’ ability to understand dynamic 4D objects. 🎃 Our findings reveal a critical gap: even state-of-the-art MLLMs struggle with 4D object understanding. #iccv25 #ICCV2025 @KaustVision webpage: wenxuanzhu1103.github.io/4db… paper: arxiv.org/pdf/2503.17827
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KAUST Computer Vision Lab (IVUL) retweeted
Thank you very much, Prof. @Yoshua_Bengio, for accepting our invitation. It was a great honor to have you at the First edition of the @SaFeMMAI Workshop on Safe and Trustworthy Multimodal AI Systems. 🛡️Talk: "Avoiding Catastrophic Risks From Uncontrolled AI Agency" #ICCV2025
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KAUST Computer Vision Lab (IVUL) retweeted
Our afternoon session at the #SafeMMAI Workshop @ICCVConference is starting soon! ☀️ Join us for more exciting discussions, and don’t forget to grab your KAUST USB swag! 🎁 #ICCV2025 #KAUST #AI
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KAUST Computer Vision Lab (IVUL) retweeted
👇 Check out our full schedule
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@KaustVision is co-organizing the First Edition of the @SaFeMMAI workshop at @ICCVConference. We'll see you tomorrow in Room 308B at 09:00 am for a full day of discussions on Safety and Trustworthy Multimodal AI Systems. First talk: Prof. Yoshua Bengio.
🌺 Tomorrow's the day! Join us at #SaFeMMAI @ICCVConference for a full day of talks and discussions on safe and trustworthy multimodal AI. 🗓 Oct 19, 2025 📍 Hawaii Convention Center, Room 308 B We look forward to seeing everyone tomorrow! #ICCV2025 #AI #Safety #MultimodalAI
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KAUST Computer Vision Lab (IVUL) retweeted
Heading towards Hawaii 🌺✈️ Excited to present MatchDiffusion at #ICCV2025! 🗓️ Wed 22 Oct, 2:45–4:45 p.m. HST 📍 Exhibit Hall I, #1373 📄 Paper: arxiv.org/abs/2411.18677 Poster info: iccv.thecvf.com/virtual/2025… #GenerativeAI #MatchCut #ComputerVision See you there!!
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KAUST Computer Vision Lab (IVUL) retweeted
Ready to rise among the next generation of #AI innovators? Apply for the #KAUST Rising Stars in AI Symposium, organized by the #Center of Excellence for Generative AI, and join a global cohort of AI innovators! Deadline: Nov 15, 2025 🔗 kaust.edu.sa/events/rsais26
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🌟Excited to share that our IVUL Lab @KaustVision has seven papers accepted at @ICCVConference 2025! We'll be presenting them this month in Hawaii 🌺🌴 👀 Check out the details in the images below. Hope to see you there! Big thanks to all our amazing collaborators 🤝 #ICCV2025
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Stay tuned for the 2026 edition of #SoccerNet The tasks will be announced soon! arxiv.org/abs/2508.19182
🎉 SoccerNet Challenges 2025 were a great success! Thanks to all participants who pushed the limits of sports video understanding! 🚀⚽📹 🏆📃The results are now available! Check out our paper with top-performing methods on arXiv: arxiv.org/abs/2508.19182 #CVPR2025 #SoccerNet 🔃
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Prof. Bernard Ghanem, Chair of GenAI Center of Excellence and PI of @KaustVision (ivul.kaust.edu.sa)!
AI, decoded in under a minute. Prof. Bernard Ghanem @BernardSGhanem from #KAUST, ranked #1 in the Middle East for producing #AItalent, breaks it into four pillars. The expertise driving Saudi Arabia’s bold #AI future.
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🎓PhD defense! 🎉Huge congratulations to @MereyRamazanova from the IVUL family on successfully defending her PhD thesis, “Towards Robust Multimodal Egocentric Video Understanding”, advised by Prof. @BernardSGhanem Wishing you all the best in your next chapter, Dr. Merey!🚀
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🚨 Submit your short paper now to the @SaFeMMAI workshop at @ICCVConference 2025!
🚨 Call for Short-Paper is NOW OPEN! 📢 Join us at SaFeMM-AI @ICCVConference to advance safe & trustworthy multimodal AI. 🌐 More info: safemmai.github.io/#cfp 📅 Deadline: August 15, 2025 (23:59 GMT) #ICCV2025 @ICCVConference #SaFeMMAI #AI #MultimodalAI
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🎓PhD dissertation season at IVUL! 🎉Congratulations to Alejandro Pardo on successfully defending his #PhD dissertation, “Computer Vision for Video Editing: Learning to Cut, Classify, Assemble, and Generate,” advised by Prof. @BernardSGhanem Great work, Alejo! 🚀👏 – at Makkah Al Mukarrama, Kingdom of Saudi Arabia
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🎓PhD dissertation season at IVUL! 🎉 Congratulations to Alejandro Pardo on successfully defending his #PhD dissertation, “Computer Vision for Video Editing: Learning to Cut, Classify, Assemble, and Generate,” advised by Prof. @BernardSGhanem Great work, Alejo! 🚀👏 – at Makkah Al Mukarrama, Kingdom of Saudi Arabia
On June 23, I defended my Ph.D. in Computer Vision at KAUST! 🎓 My thesis explored AI-driven video editing, and a few days later, MatchDiffusion, one of its core contributions, was accepted to ICCV 2025! Grateful to my advisors & committee. 🚀 #ICCV2025
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