Explore tweets tagged as #CrossModalAI
@Omar_chj3
market.expert
7 months
#CrossModalAI links sight, sound, and text into one intelligent system.
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@KnowDisAI
KnowDis AI
4 months
AI shouldn’t choose between numbers 📊 and narratives 📝 At @KnowDisAI, we’re building cross-modal agents that connect structured + unstructured data for holistic reasoning & smarter decisions. Read the full post 👉 https://t.co/KMMHzSFUa9 #AI #CrossModalAI #DataFusion
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@hackernoon
HackerNoon | Learn Any Technology
7 months
AI can now localize 3D spaces using only text. This article explores cutting-edge methods combining point clouds, language, and transformers. - https://t.co/QSbou4w61R #crossmodalai #humanrobotinteraction
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@hackernoon
HackerNoon | Learn Any Technology
7 months
IFRP-T2P is tested on KITTI360Pose to retrieve and localize 3D scenes. We cover data setup, training configs, and model details for reproducibility. - https://t.co/YGOSMm0EbL #crossmodalai #humanrobotinteraction
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@hackernoon
HackerNoon | Learn Any Technology
7 months
IFRP-T2P improves localization accuracy across coarse and fine stages, outperforming state-of-the-art models using raw point cloud and text input. - https://t.co/670KOs4PAR #crossmodalai #humanrobotinteraction
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@hackernoon
HackerNoon | Learn Any Technology
7 months
Refine AI location predictions using RPCA, a new cross-attention module combining point cloud and text features with spatial awareness. - https://t.co/uxbMPXiZ5p #crossmodalai #humanrobotinteraction
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@hackernoon
HackerNoon | Learn Any Technology
7 months
A dual-branch model maps text to 3D positions in point clouds, using a coarse-to-fine strategy and instance queries for accurate localization. - https://t.co/tEJrgJdWBU #crossmodalai #humanrobotinteraction
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@hackernoon
HackerNoon | Learn Any Technology
7 months
New model enables robots to localize human text in 3D city-scale point clouds without ground-truth input, using spatial-aware attention mechanisms. - https://t.co/NXk0b5uKtQ #crossmodalai #humanrobotinteraction
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