Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Shangyue Zhu"'
Publikováno v:
Proceedings of the 13th ACM Multimedia Systems Conference.
Publikováno v:
IEEE Transactions on Big Data. 7:93-101
Imitation learning holds the promise to address challenging robotic tasks such as autonomous navigation. It however requires a human supervisor to oversee the training process and send correct control commands to robots without feedback, which is alw
Autor:
Hai Lin, J. Nicholas Laneman, Shangyue Zhu, Aaron Striegel, Grigoriy Dubrovskiy, Gonzalo J. Martinez, Alamin Mohammed, Douglas R. Castor, Ravikumar V. Pragada
Publikováno v:
ICCCN
In the past few years, unmanned aerial vehicles (UAVs) have drastically increased in popularity both from consumer and industry perspectives. A key component towards enabling the widespread usage of UAVs is the ability to stay in near-constant commun
Publikováno v:
Future Generation Computer Systems. 92:705-714
The new era of IoT devices call for wireless communications with high spectral efficiency because of the congested spectral space in reality. Current wireless communication systems work at half duplex mode in an either time-division or frequency-divi
Publikováno v:
ICCCN
Video streaming using WiFi networks poses the challenge of variable network performance when multiple clients are present. Hence, it is important to continuously monitor and predict the network changes in order to ensure a higher user quality of expe
Publikováno v:
Signal Processing. 144:384-391
Keypoint detection is critical in image recognitions. Deep learning such as convolutional neural network (CNN) has recently demonstrated its tremendous success in detecting image keypoints over conventional image processing methodologies. The deep le
Indoor Human Activity Recognition Based on Ambient Radar with Signal Processing and Machine Learning
Publikováno v:
ICC
Indoor human activity recognition has been extensively investigated. However, most of the solutions require sensors e.g. 9-axis IMU be equipped on human body or use image processing that presents privacy issues. This work proposes an ambient radar se
Publikováno v:
ICNC
Many IoT smart systems such as smart homes require intelligent solutions to localize and track a user in a living space. Traditional solutions are either too simple in capability to reveal dynamic details or invasive in privacy leaking. This work des
Publikováno v:
ICNC
The key enabling technology to in-band full duplex wireless is the self-interference cancellation. This paper proposes a realtime software defined digital self-interference cancellation based on machine learning. The contributions of this work includ
Publikováno v:
Proceedings of the 10th EAI International Conference on Mobile Multimedia Communications.
Although image stitching has been investigated for years, realtime video stitching still lacks of e cient methods to meet the required frame rate for satisfactory human vision experience. This work pro- poses e cient video stitching solutions by expl