research
∙
04/25/2023
Unsupervised Synthetic Image Refinement via Contrastive Learning and Consistent Semantic-Structural Constraints
Ensuring the realism of computer-generated synthetic images is crucial t...
share
research
∙
04/24/2023
A Study on Improving Realism of Synthetic Data for Machine Learning
Synthetic-to-real data translation using generative adversarial learning...
research
∙
07/08/2021
TGHop: An Explainable, Efficient and Lightweight Method for Texture Generation
An explainable, efficient and lightweight method for texture generation,...
research
∙
03/31/2021
Evaluation of Multimodal Semantic Segmentation using RGB-D Data
Our goal is to develop stable, accurate, and robust semantic scene under...
research
∙
03/27/2021
CalibDNN: Multimodal Sensor Calibration for Perception Using Deep Neural Networks
Current perception systems often carry multimodal imagers and sensors su...
research
∙
09/02/2020
