Reviews: Domes to Drones: Self-Supervised Active Triangulation for 3D Human Pose Reconstruction

Neural Information Processing Systems 

This paper presents a method based on agent to select the best view for a 3D pose estimation given 2D poses available. The proposed system is evaluated on the CMU Panoptic dataset, which contains 480 VGA camera views. The reviewers agree with the originaly of the task and the proposal and on the clearness of the presentation Rebuttal was convincing and thus also the area chair agrees for an acceptance of the paper.