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Posts tagged #VideoUnderstanding

EgoExoBench: A Benchmark for First- and Third-person View Video
Understanding in MLLMs
Baoqi Pei, Guo Chen et al.
Paper
Details
#EgoExoBench #MLLMs #VideoUnderstanding

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TwelveLabs video understanding models are now available in Amazon Bedrock | Amazon Web Services TwelveLabs video understanding models are now available on Amazon Bedrock and enable customers to search through videos, classify scenes, summarize content, and extract insights with precision and reliability.

๐Ÿ“ฐ๐ŸšจTwelveLabs video understanding models are now available in Amazon Bedrock by Channy Yun (์œค์„์ฐฌ)

#TwelveLabs #AmazonBedrock #VideoUnderstanding #AIModels #VideoSearch

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๐— ๐—–๐— ๐—Ÿ ๐—•๐—น๐—ผ๐—ด: Finding moments in long videos? Easy for humans, tough for AI.

ReVisionLLM โ€” by MCML Members Tanveer Hannan, Thomas Seidl & team โ€” learns to scan like we do: look wide, zoom in and spot interesting segments.

๐Ÿ”— mcml.ai/news/2025-06...

#AI #LLM #VideoUnderstanding #MCML

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Re-thinking Temporal Search for Long-Form Video Understanding Efficiently understanding long-form videos remains a significant challenge in computer vision. In this work, we revisit temporal search paradigms for long-form video understanding and address a fundam...

Next, "Re-thinking Temporal Search for Long-Form Video Understanding" #CVPR2025

๐Ÿ—“๏ธ Fri Jun 13, 4PM-6PM
๐Ÿ“ ExHall D Poster #306
๐Ÿ”— Paper: arxiv.org/abs/2504.02259
๐ŸŒ Website: longvideohaystack.github.io
๐Ÿ’ป Code: github.com/LongVideoHay...
๐Ÿ“Š Data: huggingface.co/datasets/LVH...

#VideoUnderstanding

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GitHub - yunlong10/Awesome-LLMs-for-Video-Understanding: ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅLatest Papers, Codes and Datasets on Vid-LLMs. ๐Ÿ”ฅ๐Ÿ”ฅ๐Ÿ”ฅLatest Papers, Codes and Datasets on Vid-LLMs. Contribute to yunlong10/Awesome-LLMs-for-Video-Understanding development by creating an account on GitHub.

Check out our pioneering paper on Video and Audiovisual Understanding with LLMs! Dive into the future of AI with us: #VideoUnderstanding #LargeLanguageModels #AIResearch

๐Ÿ•ธ๏ธ github.com/yunlong10/Aw...

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Apolloโ€™s Multimodal Models Outperform Larger AI Rivals Researchers at Meta GenAI and Stanford University introduce Apollo, a cutting-edge family of multimodal models, revolutionizing video understanding through innovative sampling and efficient scaling.

Apolloโ€™s Multimodal Models Outperform Larger AI Rivals ๐Ÿš€๐Ÿ“นโœจ www.azoai.com/news/2025010... #AI #MachineLearning #VideoUnderstanding #DeepLearning #Innovation #Research #Multimodal #Technology #Scalability #MetaGenAI @arxiv-stat-ml.bsky.social

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Really interesting workshop by my colleagues at Surrey, don't miss it if you're at #BMVC in Glasgow #BMVC2024 #videounderstanding #computervision

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