14 citations · 14 across the 7 of their papers we have counts for
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cs.CV2024
Robust and Flexible Omnidirectional Depth Estimation with Multiple 360-degree Cameras
Ming Li, Xuejiao Hu, Xueqian Jin +3
Omnidirectional depth estimation has received much attention from researchers in recent years. However, challenges arise due to camera soiling and variations in camera layouts, aff…
cs.CV2024
Real-time Multi-view Omnidirectional Depth Estimation for Real Scenarios based on Teacher-Student Learning with Unlabeled Data
Ming Li, Xiong Yang, Chaofan Wu +5
Omnidirectional depth estimation enables efficient 3D perception over a full 360-degree range. However, in real-world applications such as autonomous driving and robotics, achievin…
cs.CV2024★ 14 cited
Pyramid Feature Attention Network for Monocular Depth Prediction
Yifang Xu, Chenglei Peng, Ming Li +2
Deep convolutional neural networks (DCNNs) have achieved great success in monocular depth estimation (MDE). However, few existing works take the contributions for MDE of different…