In this paper, a time-varying channel prediction method based on conditional generative adversarial network (CPcGAN) is proposed for time division duplexing/frequency division duplexing (TDD/FDD) systems.
Overall, we propose the first light-weight total capture system and achieves fast, robust and accurate multi-person total motion capture performance.
We propose DeepMultiCap, a novel method for multi-person performance capture using sparse multi-view cameras.
Semantic segmentation is a prerequisite for this task since it maps contiguous regions of the same class as single entities.
Our method enables a realtime online motion capture system running at 30fps using 5 cameras on a 5-person scene.
Ranked #2 on 3D Multi-Person Pose Estimation on Shelf
Keyphrases, that concisely describe the high-level topics discussed in a document, are very useful for a wide range of natural language processing tasks.
Fully convolutional neural networks give accurate, per-pixel prediction for input images and have applications like semantic segmentation.
This paper presents an open source tool for testing the recognition accuracy of Chinese handwriting input methods.