no code implementations • 30 Apr 2024 • Yuqian Hu, Guozhen Zhu, Beibei Wang, K. J. Ray Liu
Proximity detection in indoor environments based on WiFi signals has gained significant attention in recent years.
no code implementations • 4 Apr 2024 • Beibei Wang, Shuang Meng, Lu Zhang, Chenjie Wang, Jingjing Huang, Yao Li, Haojie Ren, Yuxuan Xiao, Yuru Peng, Jianmin Ji, Yu Zhang, Yanyong Zhang
Numerous roadside perception datasets have been introduced to propel advancements in autonomous driving and intelligent transportation systems research and development.
no code implementations • 1 Feb 2024 • Sakila S. Jayaweera, Sai Deepika Regani, Yuqian Hu, Beibei Wang, K. J. Ray Liu
In contrast to estimating joints, this paper proposes to improve imaging resolution by estimating the human figure as a whole using conditional generative adversarial networks (cGAN).
no code implementations • 27 Oct 2023 • Xiaojie Wang, Beibei Wang, Yu Wu, Zhaolong Ning, Song Guo, Fei Richard Yu
Edge Intelligence (EI) integrates Edge Computing (EC) and Artificial Intelligence (AI) to push the capabilities of AI to the network edge for real-time, efficient and secure intelligent decision-making and computation.
1 code implementation • 25 Oct 2023 • Xingchen Li, Yifan Duan, Beibei Wang, Haojie Ren, Guoliang You, Yu Sheng, Jianmin Ji, Yanyong Zhang
The edge features, which are prevalent in various environments, are aligned in both images and point clouds to determine the extrinsic parameters.
no code implementations • 5 Sep 2022 • Beibei Wang, Bo Jiang
Graph Attention Networks (GATs) have been intensively studied and widely used in graph data learning tasks.
no code implementations • 14 Apr 2022 • Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang, Min Wu, K. J. Ray Liu
Speech enhancement and separation have been a long-standing problem, especially with the recent advances using a single microphone.
no code implementations • 18 Feb 2022 • Beibei Wang, Bo Jiang
(2) For max aggregator, it usually fails to be aware of the detailed information of node representations within neighborhood.
no code implementations • 6 Nov 2021 • Jiahui Fan, Beibei Wang, Miloš Hašan, Jian Yang, Ling-Qi Yan
Bidirectional reflectance distribution functions (BRDFs) are pervasively used in computer graphics to produce realistic physically-based appearance.
no code implementations • 29 Oct 2021 • Tao Wen, Beibei Wang, Lei Zhang, Jie Guo, Nicolas Holzschuch
For efficiency, we train the network in two stages: reusing a trained model to initialize the SVBRDFs and fine-tune it based on the input image.
no code implementations • 6 Aug 2021 • Muhammed Zahid Ozturk, Chenshu Wu, Beibei Wang, K. J. Ray Liu
Voice interfaces has become an integral part of our lives, with the proliferation of smart devices.
no code implementations • 6 Nov 2020 • Taufeq Mohammed Razakh, Beibei Wang, Shane Jackson, Rajiv K. Kalia, Aiichiro Nakano, Ken-ichi Nomura, Priya Vashishta
We have developed a novel differential equation solver software called PND based on the physics-informed neural network for molecular dynamics simulators.
no code implementations • 4 Sep 2019 • Bo Jiang, Beibei Wang, Jin Tang, Bin Luo
Graph Convolutional Networks (GCNs) have shown very powerful for graph data representation and learning tasks.