Search Results for author:
Found 3 papers, 0 papers with code
Exploring the Impacts from Datasets to Monocular Depth Estimation (MDE) Models with MineNavi
Current computer vision tasks based on deep learning require a huge amount of data with annotations for model training or testing, especially in some dense estimation tasks, such as optical flow segmentation and depth estimation.
WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching
Some stereo matching algorithms based on deep learning have been proposed and achieved state-of-the-art performances since some public large-scale datasets were put online.
A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions
Mutual occlusions among targets can cause track loss or target position deviation, because the observation likelihood of an occluded target may vanish even when we have the estimated location of the target.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
