Search Results for author:
Found 7 papers, 2 papers with code
A data-driven method for syndrome type identification and classification in traditional Chinese medicine
Conclusions: A data-driven method for TCM syndrome identification and classification is presented.
Identification and classification of TCM syndrome types among patients with vascular mild cognitive impairment using latent tree analysis
Conclusions: A solution for the TCM syndrome classification problem associated with VMCI is established based on the latent tree analysis of unlabeled symptom survey data.
Low-cost LIDAR based Vehicle Pose Estimation and Tracking
Based on our previous optimization/criteria-based L-Shape fitting algorithm, we here propose a data-driven and model-based method for robust vehicle segmentation and tracking.
F2GAN: Fusing-and-Filling GAN for Few-shot Image Generation
In this paper, we propose a Fusing-and-Filling Generative Adversarial Network (F2GAN) to generate realistic and diverse images for a new category with only a few images.
Depth Completion via Inductive Fusion of Planar LIDAR and Monocular Camera
This late-fusion block uses the dense context features to guide the depth prediction based on demonstrations by sparse depth features.
Real-time FPGA Design for OMP Targeting 8K Image Reconstruction
The choice of sensing matrix, the implementation of DP and LSP.
NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
This challenge includes three tracks.
