Search Results for author:
Found 6 papers, 4 papers with code
LFSRDiff: Light Field Image Super-Resolution via Diffusion Models
Despite this complexity, mainstream LF image SR methods typically adopt a deterministic approach, generating only a single output supervised by pixel-wise loss functions.
OccCasNet: Occlusion-aware Cascade Cost Volume for Light Field Depth Estimation
To address this issue and achieve a better trade-off between accuracy and efficiency, we propose an occlusion-aware cascade cost volume for LF depth (disparity) estimation.
Learning Sub-Pixel Disparity Distribution for Light Field Depth Estimation
However, the disparity map is only a sub-space projection (i. e., an expectation) of the disparity distribution, which is essential for models to learn.
DecisionHoldem: Safe Depth-Limited Solving With Diverse Opponents for Imperfect-Information Games
It is more common in life than perfect-information game.
Correction to the photometric magnitudes of the Gaia Early Data Release 3
In this letter, we have carried out an independent validation of the Gaia EDR3 photometry using about 10, 000 Landolt standard stars from Clem & Landolt (2013).
Solar and Stellar Astrophysics Astrophysics of Galaxies
Pulsar Candidate Identification with Artificial Intelligence Techniques
To address these problems, we proposed a framework which combines deep convolution generative adversarial network (DCGAN) with support vector machine (SVM) to deal with imbalance class problem and to improve pulsar identification accuracy.
