no code implementations • 25 Apr 2024 • Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos, Lin Wang
However, as the distinct projections make it less possible to directly transfer knowledge between domains, we then propose Reliable Panoramic Prototype Adaptation Module (RP2AM) to transfer knowledge at both prediction and prototype levels.
no code implementations • 10 Apr 2024 • Yexin Liu, Weiming Zhang, Athanasios V. Vasilakos, Lin Wang
Specifically, to address the first challenge, we propose a pseudo-label correction strategy that utilizes a Beta Mixture Model to predict the probability of mis-clustering based network's memory effect and rectifies the correspondence by adding a perceptual term to contrastive learning.
no code implementations • 19 Mar 2024 • Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos, Lin Wang
However, the distinct projection discrepancies between source and target domains impede the direct knowledge transfer; thus, we propose a panoramic prototype adaptation module (PPAM) to integrate panoramic prototypes from the extracted knowledge for adaptation.
no code implementations • 20 Dec 2023 • Zixiang Wei, Yiting Wang, Lichao Sun, Athanasios V. Vasilakos, Lin Wang
A class prediction block is then designed to classify the degradation information by calculating the structure similarity scores on the reflectance map and mean square error on the illumination map.
no code implementations • 10 Oct 2023 • Haoxiang Luo, Jian Luo, Athanasios V. Vasilakos
Moreover, the content generated by LLMs is difficult to identify and trace, and it is difficult to cross-platform mutual recognition.
no code implementations • 11 May 2023 • Gokul Yenduri, Ramalingam M, Chemmalar Selvi G, Supriya Y, Gautam Srivastava, Praveen Kumar Reddy Maddikunta, Deepti Raj G, Rutvij H Jhaveri, Prabadevi B, Weizheng Wang, Athanasios V. Vasilakos, Thippa Reddy Gadekallu
GPT is based on the transformer architecture, a deep neural network designed for natural language processing tasks.
no code implementations • 17 Apr 2023 • Zidong Cao, Hao Ai, Athanasios V. Vasilakos, Lin Wang
Our key idea is to transfer the scene structural knowledge from the HR image modality and the corresponding LR depth maps to achieve the goal of HR depth estimation without any extra inference cost.
no code implementations • 12 Mar 2021 • Renhao Lu, Weizhe Zhang, Qiong Li, Xiaoxiong Zhong, Athanasios V. Vasilakos
In recent years, mobile clients' computing ability and storage capacity have greatly improved, efficiently dealing with some applications locally.
no code implementations • 20 Jan 2021 • Shangming Cai, Dongsheng Wang, Haixia Wang, Yongqiang Lyu, Guangquan Xu, Xi Zheng, Athanasios V. Vasilakos
To reduce uploading bandwidth and address privacy concerns, deep learning at the network edge has been an emerging topic.
no code implementations • 29 Dec 2020 • Qianqian Pan, Jun Wu, Xi Zheng, Jianhua Li, Shenghong Li, Athanasios V. Vasilakos
The ever-increasing data traffic, various delay-sensitive services, and the massive deployment of energy-limited Internet of Things (IoT) devices have brought huge challenges to the current communication networks, motivating academia and industry to move to the sixth-generation (6G) network.
1 code implementation • 17 Nov 2020 • Haimiao Mo, Shuai Ding, Shanlin Yang, Athanasios V. Vasilakos, Xi Zheng
We proposed a non-contact respiratory rate monitoring system with a cooperative three-layer design to increase the precision of respiratory monitoring and decrease data transmission latency.
no code implementations • 11 Dec 2019 • Chaoqiang Zhao, Yang Tang, Qiyu Sun, Athanasios V. Vasilakos
Extensive experiments on the KITTI dataset show that the proposed constraints can effectively improve the scale-consistency of TrajNet when compared with previous unsupervised monocular methods, and integration with TrajNet makes the initialization and tracking of DSO more robust and accurate.
no code implementations • 2 Sep 2019 • Hong-Ning Dai, Raymond Chi-Wing Wong, Hao Wang, Zibin Zheng, Athanasios V. Vasilakos
We then present a detailed survey of the technical solutions to the challenges in BDA for large scale wireless networks according to each stage in the life cycle of BDA.
no code implementations • 24 Oct 2017 • Milad Makkie, Heng Huang, Yu Zhao, Athanasios V. Vasilakos, Tianming Liu
In recent years, analyzing task-based fMRI (tfMRI) data has become an essential tool for understanding brain function and networks.
no code implementations • 1 Feb 2017 • Wei Du, Yang Tang, Sunney Yung Sun Leung, Le Tong, Athanasios V. Vasilakos, Feng Qian
In the fashion industry, order scheduling focuses on the assignment of production orders to appropriate production lines.
no code implementations • 17 Dec 2015 • Wei Du, Sunney Yung Sun Leung, Yang Tang, Athanasios V. Vasilakos
In this paper, an event-triggered impulsive control scheme (ETI) is introduced to improve the performance of DE.