1 citations · 1 across the 8 of their papers we have counts for
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Accurate and efficient zero-shot 6D pose estimation with frozen foundation models
Andrea Caraffa, Davide Boscaini, Fabio Poiesi
Estimating the 6D pose of objects from RGBD data is a fundamental problem in computer vision, with applications in robotics and augmented reality. A key challenge is achieving gene…
CHIP: A multi-sensor dataset for 6D pose estimation of chairs in industrial settings
Mattia Nardon, Mikel Mujika Agirre, Ander González Tomé +7
Accurate 6D pose estimation of complex objects in 3D environments is essential for effective robotic manipulation. Yet, existing benchmarks fall short in evaluating 6D pose estimat…
Distilling 3D distinctive local descriptors for 6D pose estimation
Amir Hamza, Andrea Caraffa, Davide Boscaini +1
Three-dimensional local descriptors are crucial for encoding geometric surface properties, making them essential for various point cloud understanding tasks. Among these descriptor…