no code implementations • 26 Dec 2023 • Keivan Nalaie, Rong Zheng
The MVSparse system is comprised of a carefully orchestrated pipeline, combining edge server-based models with distributed lightweight Reinforcement Learning (RL) agents operating on individual cameras.
no code implementations • 5 Nov 2023 • Longyun Liao, Andrew Mitchell, Rong Zheng
To address this issue, prior knowledge of a human body and 2D joint locations are utilized to estimate the camera extrinsic parameters when a person is in front of a mirror.
no code implementations • 14 Sep 2023 • Wei Zhao, Cai Wen, Quan Yuan, Rong Zheng
Due to its non-linear track, the Back-Projection Algorithm (BPA) is commonly used to generate SAR images in ROSAR.
no code implementations • 24 Mar 2023 • Bo Zhang, Boyu Jiang, Rong Zheng, XiaoPing Zhang, Jun Li, Qiang Xu
In this paper, we address these limitations and present "Pi-ViMo", a non-contact Physiology-inspired Robust Vital Sign Monitoring system, using mmWave radars.
no code implementations • 3 Mar 2023 • Yujiao Hao, Boyu Wang, Rong Zheng
In this work, we examine two in-the-wild HAR datasets and DivideMix, a state-of-the-art learning with noise labels (LNL) method to understand the extent and impacts of noisy labels in training data.
no code implementations • 28 Nov 2022 • Renjie Xu, Saiedeh Razavi, Rong Zheng
Video, as a key driver in the global explosion of digital information, can create tremendous benefits for human society.
no code implementations • 16 Oct 2022 • Keivan Nalaie, Rong Zheng
Multi-object tracking (MOT) is a vital component of intelligent video analytics applications such as surveillance and autonomous driving.
no code implementations • 21 Feb 2022 • Yujiao Hao, Boyu Wang, Rong Zheng
With the prevalence of wearable devices, inertial measurement unit (IMU) data has been utilized in monitoring and assessment of human mobility such as human activity recognition (HAR).
no code implementations • 5 Sep 2021 • Shervin Manzuri Shalmani, Fei Chiang, Rong Zheng
Modern neural networks are powerful predictive models.
Ranked #67 on Action Recognition on UCF101
no code implementations • 22 Jul 2021 • Keivan Nalaie, Renjie Xu, Rong Zheng
In the training stage, we incorporate detectability scores into a one-shot tracker architecture so that DeepScale can learn representation estimations for different frame sizes in a self-supervised manner.
no code implementations • 14 Dec 2020 • Yujiao Hao, Boyu Wang, Rong Zheng
In recent years, many deep models have been applied to HAR problems.
no code implementations • 3 Jul 2020 • Yihao Fang, Shervin Manzuri Shalmani, Rong Zheng
Inference of uncompressed large scale DNN models can only run in the cloud with extra communication latency back and forth between cloud and end devices, while compressed DNN models achieve real-time inference on end devices at the price of lower predictive accuracy.
no code implementations • 3 Oct 2019 • Pooya Khandel, Amir Hossein Rassafi, Vahid Pourahmadi, Saeed Sharifian, Rong Zheng
As such decisions are application dependent and may change over time, they should be learned during the operation of the system, for that we propose a method based on Advantage Actor-Critic (A2C) reinforcement learning which gradually learns which sensor's data is cost-effective to be sent to the central node.
no code implementations • 11 Jan 2019 • Chao Cai, Rong Zheng, Jun Luo
This framework encompasses three layers, i. e., physical layer, core technique layer, and application layer.
no code implementations • 7 Sep 2018 • Yihao Fang, Rong Zheng, Xiaodan Zhu
A novel logographic subword model is proposed to reinterpret logograms as abstract subwords for neural machine translation.
no code implementations • 2 Nov 2016 • Yangli-ao Geng, Qingyong Li, Rong Zheng, Fuzhen Zhuangz, Ruisi He
Furthermore, we discover that the number of clusters computed by RECOME is a step function of the $\alpha$ parameter with jump discontinuity on a small collection of values.
Databases