no code implementations • 25 Feb 2024 • Prabhjot Kaur, L. Andrew M. Bush, Weisong Shi
Speech-to-speech translation is yet to reach the same level of coverage as text-to-text translation systems.
no code implementations • 9 Aug 2023 • Jiashun Suo, Xingzhou Zhang, Weisong Shi, Wei Zhou
We first present an effective evaluation metric for actual tasks and construct a transparent energy consumption model based on hundreds of actual flight data to formalize the relationship between energy consumption and flight parameters.
1 code implementation • 31 Oct 2022 • Soumyanil Banerjee, Ming Dong, Weisong Shi
COVID-19 has become a matter of serious concern over the last few years.
no code implementations • 12 Sep 2022 • Liangkai Liu, Yanzhi Wang, Weisong Shi
Understanding the time variations of the DNN inference becomes a fundamental challenge in real-time scheduling for autonomous driving.
no code implementations • 23 Aug 2022 • Prabhjot Kaur, Qifan Wang, Weisong Shi
Our paper provides a novel, non-wearable, non-intrusive, and scalable solution for fall detection, deployed on an autonomous mobile robot equipped with a microphone.
no code implementations • 18 May 2022 • Zhaofeng Tian, Liangkai Liu, Weisong Shi
As the adaptive cruise control system (ACCS) on vehicles is well-developed today, vehicle manufacturers have increasingly employed this technology in new-generation intelligent vehicles.
1 code implementation • 7 Apr 2022 • Jiashun Suo, Tianyi Wang, Xingzhou Zhang, Haiyang Chen, Wei Zhou, Weisong Shi
We present the HIT-UAV dataset, a high-altitude infrared thermal dataset for object detection applications on Unmanned Aerial Vehicles (UAVs).
no code implementations • 1 Nov 2021 • Qisheng He, Weisong Shi, Ming Dong
As a deep learning model typically contains millions of trainable weights, there has been a growing demand for a more efficient network structure with reduced storage space and improved run-time efficiency.
no code implementations • 2 Jul 2021 • Liangkai Liu, Shaoshan Liu, Weisong Shi
Finally, we present several challenges to achieving the vision of the 4C framework.
no code implementations • 18 May 2021 • Sidi Lu, Xin Yuan, Aggelos K Katsaggelos, Weisong Shi
We apply reinforcement learning to video compressive sensing to adapt the compression ratio.
no code implementations • 30 Sep 2020 • Liangkai Liu, Sidi Lu, Ren Zhong, Baofu Wu, Yongtao Yao, Qingyang Zhang, Weisong Shi
The recent proliferation of computing technologies, e. g., sensors, computer vision, machine learning, hardware acceleration, and the broad deployment of communication mechanisms, e. g., DSRC, C-V2X, 5G, have pushed the horizon of autonomous driving, which automates the decision and control of vehicles by leveraging the perception results based on multiple sensors.
Distributed, Parallel, and Cluster Computing Robotics
1 code implementation • 4 Aug 2020 • Francis McNamee, Schahram Dustadar, Peter Kilpatrick, Weisong Shi, Ivor Spence, Blesson Varghese
However, there is limited understanding of: (a) whether and how evolving operational conditions (increased CPU and memory utilization at the edge or reduced data transfer rates between the edge and the cloud) affect the performance of already deployed DNNs, and (b) whether a new partition configuration is required to maximize performance.
1 code implementation • 17 Nov 2019 • Fuxun Yu, Di Wang, Yinpeng Chen, Nikolaos Karianakis, Tong Shen, Pei Yu, Dimitrios Lymberopoulos, Sidi Lu, Weisong Shi, Xiang Chen
In this work, we show that such adversarial-based methods can only reduce the domain style gap, but cannot address the domain content distribution gap that is shown to be important for object detectors.
no code implementations • 5 Jun 2019 • Xingzhou Zhang, Yifan Wang, Sidi Lu, Liangkai Liu, Lanyu Xu, Weisong Shi
At the same time, we have witnessed the proliferation of AI algorithms and models which accelerate the successful deployment of intelligence mainly in cloud services.
no code implementations • 5 Jun 2019 • Xingzhou Zhang, Yifan Wang, Weisong Shi
However, little research has been done to evaluate these packages on the edges, making it difficult for end users to select an appropriate pair of software and hardware.
no code implementations • 15 Oct 2018 • Yifan Wang, Shaoshan Liu, Xiaopei Wu, Weisong Shi
Meanwhile, several pioneer efforts have focused on the edge computing system and architecture design for the CAVs scenario and provided various heterogeneous platform prototypes for CAVs.
Distributed, Parallel, and Cluster Computing Performance
no code implementations • 22 Feb 2018 • Jie Tang, Shaoshan Liu, Songwen Pei, Stephane Zuckerman, Chen Liu, Weisong Shi, Jean-Luc Gaudiot
Then, once the students have understood these modules, the experimental platforms for integration we have developed allow the students to fully understand how the modules interact with each other.