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Image synthesis with adversarial networks: A comprehensive survey and case studies
Abstract Generative Adversarial Networks (GANs) have been extremely successful in
various application domains such as computer vision, medicine, and natural language …
various application domains such as computer vision, medicine, and natural language …
Learning online multi-sensor depth fusion
Many hand-held or mixed reality devices are used with a single sensor for 3D
reconstruction, although they often comprise multiple sensors. Multi-sensor depth fusion is …
reconstruction, although they often comprise multiple sensors. Multi-sensor depth fusion is …
A multi-modal garden dataset and hybrid 3D dense reconstruction framework based on panoramic stereo images for a trimming robot
Recovering an outdoor environment's surface mesh is vital for an agricultural robot during
task planning and remote visualization. Image-based dense 3D reconstruction is sensitive to …
task planning and remote visualization. Image-based dense 3D reconstruction is sensitive to …
A general mobile manipulator automation framework for flexible tasks in controlled environments
To enable a mobile manipulator to perform human tasks from a single teaching
demonstration is vital to flexible automation. We call our proposed method MMPA (Mobile …
demonstration is vital to flexible automation. We call our proposed method MMPA (Mobile …
Udfnet: Unsupervised disparity fusion with adversarial networks
C Pu, RB Fisher - 2019 IEEE International Conference on …, 2019 - ieeexplore.ieee.org
Fusing disparity maps from different methods is an useful technique to get a refined disparity
map by leveraging the complimentary advantage. We present a model for disparity fusion …
map by leveraging the complimentary advantage. We present a model for disparity fusion …
The Constraints between Edge Depth and Uncertainty for Monocular Depth Estimation
S Wu, W Li, B Liang, G Huang - Electronics, 2021 - mdpi.com
The self-supervised monocular depth estimation paradigm has become an important branch
of computer vision depth-estimation tasks. However, the depth estimation problem arising …
of computer vision depth-estimation tasks. However, the depth estimation problem arising …
MTStereo 2.0: Accurate Stereo Depth Estimation via Max-Tree Matching
Efficient yet accurate extraction of depth from stereo image pairs is required by systems with
low power resources, such as robotics and embedded systems. State-of-the-art stereo …
low power resources, such as robotics and embedded systems. State-of-the-art stereo …
Mtstereo 2.0: improved accuracy of stereo depth estimation withmax-trees
Efficient yet accurate extraction of depth from stereo image pairs is required by systems with
low power resources, such as robotics and embedded systems. State-of-the-art stereo …
low power resources, such as robotics and embedded systems. State-of-the-art stereo …