MonStereo: When Monocular and Stereo Meet at the Tail of 3D Human Localization
Lorenzo Bertoni Sven Kreiss Taylor Mordan Alexandre Alahi Lorenzo Bertoni Sven Kreiss Taylor Mordan Alexandre Alahi
Monocular and stereo visions are cost-effective solutions for 3D human localization in the context of self-driving cars or social robots. However, they are usually developed independently and have their respective strengths and limitations. We propose a novel unified learning framework that leverages the strengths of both monocular and stereo cues for 3D human localization. Our method jointly (i) ...