Abstract: Category-level 6D pose estimation, predicting the 3D position, orientation, and size of unseen objects, is pivotal for applications in robotics and augmented reality. Existing methodologies ...
Abstract: 3D human pose estimation from 2D keypoint observation has been used in many human-centered computer vision applications. In this work, we tackle the task by formulating a novel grid ...
The WiFi-DensePose Python codebase contains real, mathematically sound signal processing (FFT, phase unwrapping, Doppler extraction, correlation features) alongside mock/placeholder code that fatally ...
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