Join the IntentVC Challenge @ ACM MM 2025! Tackle user-controllable video captioning — generate captions based on user-defined intentions. Top teams will be invited to publish & present! 🗓️ Deadline: June 30 🔗 sites.google.com/view/intent… #VideoCaptioning #ACMMM2025 #Multimedia

✨ Introducing a new #SOTA action recognition large multimodal language model: #LLaVAction! Understanding human behavior requires recognizing actions—a challenging task given the complexity of behavior. Large multimodal language models (#MLLMs) offer a promising path forward, but how well do they perform in action recognition? In our latest work - by @shaokaiyeah, Haozhe Qi, @TrackingPlumes and me | @EPFL_en - we rigorously evaluate and enhance MLLMs for action recognition in a real-world and challenging settings- egocentric views in the kitchen! 🧑‍🍳🔪🧽🤖 👀 We find that developing a multi-question-answer (#MQA) task serves as a valuable intermediate step in training (and evaluating) MLLMs for action understanding. Namely, we introduce EPIC-KITCHENS-100-MQA, a reformulation of the highly challenging EPIC-KITCHENS-100 dataset into a video multiple-choice question-answering task which allows for rigorous benchmarking of MLLMs in this task. Next, we propose methods that substantially improve MLLM performance, and even achieving state-of-the-art results 🏆 (#SOTA) on the EPIC-KITCHENS-100 validation set 🔥✨. Our approach also outperforms GPT-4o by 21 points in accuracy on EPIC-KITCHENS-100-MQA and demonstrates improvements across other action-related video benchmarks, including #VideoMME, #PerceptionTest, and #MVBench. Our #LLaVAction-7B and -0.5B models can do #MQA and, critically, can do video captioning! 🙏🚀 As MLLMs become central to AI-driven video understanding in such real-world settings, ensuring their robustness in real-world tasks is critical. Excited to push the boundaries of multimodal AI further! 💪 🇨🇭We could not have done this without the amazing support of #SwissAI: the Swiss AI Initiative & the Swiss National Supercomputing Centre (#CSCS). @EPFL_AI_Center #ProjectPage: mmathislab.github.io/llavact… 📝 #arXivPaper: arxiv.org/abs/2503.18712 👩‍💻💻 GitHub code & Google #ColabDemo: github.com/AdaptiveMotorCont… 🤗 Hugging Face models (use with transformers): huggingface.co/MLAdaptiveInt… #AI #MultimodalLearning #ActionRecognition #EPICKITCHENS100 #MLLM #LLaVAction #VideoCaptioning #VLMs

Check out this insightful blog post by Sotiris Karavarsamis, Research Assistant at @VCL_ITI Read the full blog post 👉voxreality.eu/one-piece-at-a… #AI #DeepLearning #VideoCaptioning #SwinBERT #ComputerVision #TechInnovation #MachineLearning #FutureOfAI

🚀 Excited to announce our latest paper! We are introducing ‘NarrativeBridge’, a ground breaking benchmark and a novel architecture for video captioning! #videocaptioning #llms #cvssp

Don't limit your audience. CaptionMe bridges language barriers and enhances your video's reach. 🌐🤝 #LanguageBarrier #VideoCaptioning

#FunFact The CTL provides #videoCaptioning support for @durhamcollege faculty? To make your course content more accessible for your students, contact us for assistance with captioning & including these videos in your courses!

🤩 Check out this amazing paper on video captioning by Antoine Yang et al.! 📹 #Computation #Language #VideoCaptioning #DeepLearning deepai.org/publication/vid2s…

The CTL provides #videoCaptioning support for @durhamcollege faculty! To make your course content more accessible for your students, reach out to the CTL for assistance with captioning & including these videos in your courses! #FacultySupport

#DidYouKnow The CTL provides #videoCaptioning support for @durhamcollege faculty? To make your course content more accessible for your students, contact us for assistance with captioning & including these videos in your courses!

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#FunFact We provide #videoCaptioning support for @durhamcollege faculty members? To make your course content more accessible for your students, reach out to the CTL for assistance with captioning & including these videos in your courses! #FacultySupport

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