Media Summary: Authors: Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo Description: Matteo Poggi, Fabio Tosi, Stefano Mattoccia, " This video compares a sparse point cloud reconstructed using traditional Structure from Motion (SfM) and a

Learning Monocular Dense Depth From Events 3dv 2020 - Detailed Analysis & Overview

Authors: Mingyu Ding, Yuqi Huo, Hongwei Yi, Zhe Wang, Jianping Shi, Zhiwu Lu, Ping Luo Description: Matteo Poggi, Fabio Tosi, Stefano Mattoccia, " This video compares a sparse point cloud reconstructed using traditional Structure from Motion (SfM) and a Welcome to IJCAI 2021 AI4AD Workshop! Title: VR3Dense: Voxel Representation Supplementary video for our work accepted by CARE at MICCAI 2018. CGI2020_Session IMAGE PROCESSING / Real-time

CVPR 2021 presentation. Publication: MonoRec: Semi-Supervised

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Learning Monocular Dense Depth from Events (3DV 2020)
[3DV 2018] 3Net: learning monocular depth estimation with unsupervised trinocular assumptions
Learning Depth-Guided Convolutions for Monocular 3D Object Detection
[3DV 2018] 3Net: Learning monocular depth estimation with unsupervised trinocular assumptions
Real-time Monocular Dense Mapping Using Parallelized Belief Propagation
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
Real time practical monocular 3D perception  | ACV Meetup
Event guided depth sensing (3DV 2021)
VR3Dense: Voxel Representation Learning for 3D Object Detection and Monocular Depth Reconstruction
Self-supervised Learning for Dense Depth Estimation in Monocular Endoscopy
Monocular Depth Prediction Through Continuous 3D Loss
CoRL 2020, Spotlight Talk 427: Unsupervised Monocular Depth Learning in Dynamic Scenes
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