Professor at EPFL (École Polytechnique Fédérale de Lausanne) @EPFL_en / Director of the VITA lab, @StanfordAILab

Joined December 2010
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Is trajectory prediction promptable? Yes! Social-Transmotion, a generic Transformer-based model, makes it possible by integrating diverse visual cues as prompts. Joint work with Saeed, Yang, Kaouther. #ICLR2024 Paper: arxiv.org/abs/2312.16168 Webpage/code: tinyurl.com/yckhhz4d
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🎉 Exciting news!  Our team has achieved top rank on the nuScenes trajectory prediction leaderboard! Our strategy? Unprecedented data scaling with our new open-source framework . Project page: tinyurl.com/2sfendzc Special thanks to Lan, hossein, kaouther, Eloi, & Matthieu!

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Alexandre Alahi retweeted
Dear All, are you working in industry with AI/ML or know someone who does? You are dearly needed! It is time for another survey to threat model ML/AI in practice. Please take 10 minutes to click through our questions or share with someone who can help: redcap.epfl.ch/surveys/?s=PX…
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ChatGPT has shaken the world with its advancements in NLP. However, AI has still been found lacking in certain tasks, such as autonomous driving. Why? Click below to start the conversation: youtube.com/watch?v=Yem8FzKq… #AI #SelfDrivingCars #sociallyawareAI #tedx
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Alexandre Alahi retweeted
15 Dec 2022
Des scientifiques de l'ENAC collaborent avec @Dartfish et le @lausannehc pour repousser les limites de l’analyse vidéo sportive. Avec la contribution du prof. @AlexAlahi. L'objectif? La détection et le suivi automatisé des athlètes. actu.epfl.ch/news/l-intellig…
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Alexandre Alahi retweeted
Replying to @AlexAlahi
@AlexAlahi, winner of the @CVPR Open Source Award and ICDSC Challenge Prize, gives us a glimpse into the future of #visualintelligence in #Transportation#SelfDrivingCars powered by socially and ethically aware #AI.
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Alexandre Alahi retweeted
Distribution shifts are grand challenges for machine learning models. When it comes to motion, what are the unique problems and opportunities? We provide an answer in our #CVPR2022 paper: “Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective” 1/6
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Alexandre Alahi retweeted
"Vehicle trajectory prediction works but not everywhere" #CVPR2022 Come and check our poster next week (June 24th morning, Session: Poster 4.1) Project website and code: s-attack.github.io/ Paper: openaccess.thecvf.com/conten… Joint work with @MHBahari @smoosavid @AlexAlahi
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Thank you Andrej @karpathy (Director of AI at Tesla) for the great interactive Q&A during our “CIVIL 459: Deep Learning for Autonomous Vehicles" class. We all loved the interactions (including our robots!).
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Do you want to generate photorealistic images? We show that you can improve GAN-based methods by making their Discriminator semantically aware. Code: github.com/vita-epfl/SemDisc Paper (ITS): arxiv.org/abs/2112.05134 Project website: epfl.ch/labs/vita/research/g…
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Several postdoc positions are available in our VITA lab. Feel free to apply here: recruiting.epfl.ch/Vacancies…

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Alexandre Alahi retweeted
At @EPFL_EN we believe Machine Learning is poised to fundamentally change the way we do Science and engineer solutions to our most pressing challenges. If you’re a young researcher sharing this passion, apply to our new #AI4Science fellowship: epfl.ch/research/domains/cis…

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Alexandre Alahi retweeted
Key takeaway * both take-specific info (e.g. SSL) and model-specific info (e.g. feature moments) are crucial * we should rethink what to store, in addition to model parameters, for robust deployment Link: bit.ly/3GgsqhF w/ Parth, Bastien, Baptiste, Taylor, @AlexAlahi

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Alexandre Alahi retweeted
Test-time training (TTT) is an emerging approach to tackle distributional shifts. Yet, it's still not robust for practical use. Have you ever wondered when TTT fails or thrives? Our paper TTT #NeurIPS2021 provides an answer. To know more, plz join us at Session 1 this Tue :)
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Alexandre Alahi retweeted
Stay informed on Imaging @EPFL_en : newsletter#2 is out. go.epfl.ch/imaging_Newslette… Don’t miss @AlexAlahi Lab presentation on his fascinating work on visual intelligence for transportation youtube.com/watch?v=tiNSCJB4…
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Alexandre Alahi retweeted
Can we learn a robust motion representation (e.g., forecasting/navigation) from ill-distributed data? Our #ICCV2021 paper 'Social-NCE' provides an answer! (socialnce.github.io) Join us at Session 12 this Fri :) w/ @qi_yan98, @AlexAlahi youtu.be/s1khZWWiQfA via @YouTube

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