HapticLDM is the first latent diffusion model that generates vibrotactile signals directly from text, using dynamic text curation and global denoising to improve realism and semantic alignment over autoregressive baselines.
Align before fuse: Vision and language representation learning with momentum distillation
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MAQIU adds a memorization module and recall mechanism to update query intent dynamically in chat-based image retrieval, cutting FLOPs by 86.4% versus ChatIR while improving results.
A unified autoregressive vision-language framework integrates segmentation, detection, and appearance reasoning for CT images via task-routing tokens and progressive refinement, with gains on public benchmarks.
citing papers explorer
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HapticLDM: A Diffusion Model for Text-to-Vibrotactile Generation
HapticLDM is the first latent diffusion model that generates vibrotactile signals directly from text, using dynamic text curation and global denoising to improve realism and semantic alignment over autoregressive baselines.
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Memory-Augmented Query Intent Understanding for Efficient Chat-based Image Retrieval
MAQIU adds a memorization module and recall mechanism to update query intent dynamically in chat-based image retrieval, cutting FLOPs by 86.4% versus ChatIR while improving results.
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Segmentation, Detection and Explanation: A Unified Framework for CT Appearance Reasoning
A unified autoregressive vision-language framework integrates segmentation, detection, and appearance reasoning for CT images via task-routing tokens and progressive refinement, with gains on public benchmarks.