-
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion Adaptation
Thanks to large-scale labeled training data, deep neural networks (DNNs)...
11/25/2020 ∙ by Sicheng Zhao, et al. ∙
7
∙
share
read it
-
Scenic: A Language for Scenario Specification and Data Generation
We propose a new probabilistic programming language for the design and a...
10/13/2020 ∙ by Daniel J. Fremont, et al. ∙
0
∙
share
read it
-
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
Large-scale labeled training datasets have enabled deep neural networks ...
09/01/2020 ∙ by Sicheng Zhao, et al. ∙
7
∙
share
read it
-
Scenic: Language-Based Scene Generation
Synthetic data has proved increasingly useful in both training and testi...
09/25/2018 ∙ by Daniel J. Fremont, et al. ∙
6
∙
share
read it
-
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving
3D LiDAR scanners are playing an increasingly important role in autonomo...
03/31/2018 ∙ by Xiangyu Yue, et al. ∙
0
∙
share
read it
