An unpatched vulnerability in Anthropic's Model Context Protocol creates a channel for attackers, forcing banks to manage the ...
Abstract: Object-in-hand 6-D pose estimation is critical for dexterous manipulation and assembly tasks. Existing object-in-hand pose estimation methods neglect the varying significance of tactile ...
Abstract: High-precision pose estimation using fiducial markers has many applications in medical device tracking, virtual reality alignment, navigation, and more. However, the accuracy of pose ...
Extract task difficulty features using LLM judges with batched, info-level-aware extraction and prefix caching. For the information ablation experiment: re-extract all non-ENVIRONMENT features with ...
This is an implementation of Realtime Multi-Person Pose Estimation with Chainer. The original project is here. The authors of the original implementation provide trained caffe model which you can use ...
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