Media Summary: Self-Supervised Depth Completion using RGB Guidance Authors: Chen, Xingyu; Zhang, Ruonan; Jiang, Ji; Wang, Yan; Li, Ge; Li, Thomas H* Description: Authors: Hiroyasu Akada (KAUST, Keio University)*; Shariq F Bhat (KAUST); Ibraheem Alhashim (National Center for Artificial ...

Self Supervised Depth Completion For - Detailed Analysis & Overview

Self-Supervised Depth Completion using RGB Guidance Authors: Chen, Xingyu; Zhang, Ruonan; Jiang, Ji; Wang, Yan; Li, Ge; Li, Thomas H* Description: Authors: Hiroyasu Akada (KAUST, Keio University)*; Shariq F Bhat (KAUST); Ibraheem Alhashim (National Center for Artificial ... Talk recorded at the Neurips 2020 workshop on differentiable computer vision, graphics, and physics in ML. Webpage: ... Learn all the ways Microsoft is a part of CVPR 2020: Authors: Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler Description: We present a ...

Ever wonder why robots struggle with transparent objects like glass or plastic? Current Authors: Junhwa Hur, Stefan Roth Description: Scene flow estimation has been receiving increasing attention for 3D environment ... Authors: Kaiyue Lu, Nick Barnes, Saeed Anwar, Liang Zheng Description: Authors: Matteo Poggi, Filippo Aleotti, Fabio Tosi, Stefano Mattoccia Description: Authors: Adrian Johnston, Gustavo Carneiro Description: Monocular Authors: Abdelrahman Eldesokey, Michael Felsberg, Karl Holmquist, Michael Persson Description: The focus in deep learning ...

This video features our work on "Self-supervised Sparse-to-Dense: Authors: Vitor Guizilini, Rareș Ambruș, Sudeep Pillai, Allan Raventos, Adrien Gaidon Description: Although cameras are ...

Photo Gallery

Self-Supervised Depth Completion for Active Stereo
Self-Supervised Depth Completion for Active Stereo [ICRA presentation]
ACDC-Net: Self-Supervised Depth Completion for Active Stereo
Self-Supervised Depth Completion using RGB Guidance
Self-Supervised Scale Recovery for Monocular Depth and Egomotion Estimation (IROS'21)
Self-Supervised Monocular Depth Estimation: Solving the Edge-Fattening Problem
Self-Supervised Learning of Domain Invariant Features for Depth Estimation
Chao Qu - Depth completion via deep basis fitting
Self Supervised Human Depth Estimation From Monocular Videos
Self-Supervised Object Motion and Depth Estimation From Video
Teaching Robots to See Through Transparency: Self-Supervised Depth Learning
Self-Supervised Monocular Scene Flow Estimation
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