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.
1 code implementation • 23 Apr 2024 • Buyun He, Yingguang Yang, Qi Wu, Hao liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou
To tackle these challenges, we propose BotDGT, a novel framework that not only considers the topological structure, but also effectively incorporates dynamic nature of social network.
no code implementations • 4 Apr 2024 • Haoran Li, Haolin Shi, Wenli Zhang, Wenjun Wu, Yong Liao, Lin Wang, Lik-Hang Lee, Pengyuan Zhou
Text-to-3D scene generation holds immense potential for the gaming, film, and architecture sectors.
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 • 30 Jan 2024 • Pengyuan Zhou, Lin Wang, Zhi Liu, Yanbin Hao, Pan Hui, Sasu Tarkoma, Jussi Kangasharju
This paper offers an insightful examination of how currently top-trending AI technologies, i. e., generative artificial intelligence (Generative AI) and large language models (LLMs), are reshaping the field of video technology, including video generation, understanding, and streaming.
no code implementations • 19 Jan 2024 • Hao Ai, Zidong Cao, Haonan Lu, Chen Chen, Jian Ma, Pengyuan Zhou, Tae-Kyun Kim, Pan Hui, Lin Wang
To this end, we propose a transformer-based 360 image outpainting framework called Dream360, which can generate diverse, high-fidelity, and high-resolution panoramas from user-selected viewports, considering the spherical properties of 360 images.
no code implementations • 2 Jan 2024 • Qinglong Huang, Yong Liao, Yanbin Hao, Pengyuan Zhou
Neural radiance fields (NeRF) have been proposed as an innovative 3D representation method.
no code implementations • 26 Dec 2023 • Kun Lan, Haoran Li, Haolin Shi, Wenjun Wu, Yong Liao, Lin Wang, Pengyuan Zhou
Recently, 3D Gaussian, as an explicit 3D representation method, has demonstrated strong competitiveness over NeRF (Neural Radiance Fields) in terms of expressing complex scenes and training duration.
no code implementations • 17 Dec 2023 • Wei Tang, Zhiqian Wu, Yixin Cao, Yong Liao, Pengyuan Zhou
As such, the aggregated language model can leverage complementary knowledge from multilingual KGs without demanding raw user data sharing.
no code implementations • 16 Dec 2023 • Xiaorui Jiang, Hengwei Xu, Yu Gao, Yong Liao, Pengyuan Zhou
Federated Learning (FL) allows several clients to cooperatively train machine learning models without disclosing the raw data.
no code implementations • 28 Nov 2023 • Jie Li, Zhixin Li, Zhi Liu, Pengyuan Zhou, Richang Hong, Qiyue Li, Han Hu
To our knowledge, this is the first comprehensive study of viewport prediction in volumetric video streaming.
no code implementations • 18 Nov 2023 • Haoran Li, Long Ma, Yong Liao, Lechao Cheng, Yanbin Hao, Pengyuan Zhou
First, we segment the objects and the background in a multi-object image.
no code implementations • 11 Oct 2023 • Xu Zheng, Yunhao Luo, Pengyuan Zhou, Lin Wang
Due to the completely different characteristics of ViT and CNN and the long-existing capacity gap between teacher and student models in Knowledge Distillation (KD), directly transferring the cross-model knowledge is non-trivial.
1 code implementation • 27 Sep 2023 • Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li
Recent developments in large language models (LLMs) have shown promise in enhancing the capabilities of natural language processing (NLP).
no code implementations • 13 Jun 2023 • Yan Shi, Yao Tian, Chengwei Tong, Chunyan Zhu, Qianqian Li, Mengzhu Zhang, Wei Zhao, Yong Liao, Pengyuan Zhou
Social network plays an important role in propagating people's viewpoints, emotions, thoughts, and fears.
no code implementations • 4 Apr 2023 • Yao Lu, Pengyuan Zhou, Yong Liao, Haiyong Xie
Urban anomaly predictions, such as traffic accident prediction and crime prediction, are of vital importance to smart city security and maintenance.
no code implementations • 24 Mar 2023 • Pengyuan Zhou
The incorporation of artificial intelligence (AI) technology, and in particular natural language processing (NLP), is becoming increasingly vital for the development of immersive and interactive metaverse experiences.
no code implementations • 17 Mar 2023 • Haoran Li, Pengyuan Zhou, Yihang Lin, Yanbin Hao, Haiyong Xie, Yong Liao
Video prediction is a complex time-series forecasting task with great potential in many use cases.
1 code implementation • 10 Mar 2023 • Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou
In particular, a global generator is used to extract the knowledge of global data distribution and distill it into each client's local model.
no code implementations • 1 Mar 2023 • Yihang Lin, Pengyuan Zhou, Zhiqian Wu, Yong Liao
Federated learning allows clients to collaboratively train a global model without uploading raw data for privacy preservation.
no code implementations • 30 Jul 2022 • Hengwei Xu, Yong Liao, Haiyong Xie, Pengyuan Zhou
The rapidly enlarging neural network models are becoming increasingly challenging to run on a single device.
1 code implementation • 4 Jul 2022 • Pranvera Kortoçi, Yilei Liang, Pengyuan Zhou, Lik-Hang Lee, Abbas Mehrabi, Pan Hui, Sasu Tarkoma, Jon Crowcroft
Mobile devices and the immense amount and variety of data they generate are key enablers of machine learning (ML)-based applications.
no code implementations • 9 Jun 2022 • Anish K. Vallapuram, Pengyuan Zhou, Young D. Kwon, Lik Hang Lee, Hengwei Xu, Pan Hui
Consequently, the training requires high computation cost and a long time to converge while the model performance does not pay off.
no code implementations • 22 Feb 2022 • Pengyuan Zhou, Benjamin Finley, Lik-Hang Lee, Yong Liao, Haiyong Xie, Pan Hui
AI plays a key role in current cyberspace and future immersive ecosystems that pinpoint user experiences.
1 code implementation • 8 May 2021 • Pengyuan Zhou, Pei Fang, Pan Hui
Federated learning has attracted attention in recent years for collaboratively training data on distributed devices with privacy-preservation.
1 code implementation • 3 Sep 2020 • Pengyuan Zhou, Xianfu Chen, Zhi Liu, Tristan Braud, Pan Hui, Jussi Kangasharju
To this end, we propose a Decentralized Reinforcement Learning at the Edge for traffic light control in the IoV (DRLE).
1 code implementation • 23 Mar 2020 • Tristan Braud, Pengyuan Zhou, Jussi Kangasharju, and Pan HUI
With only 70% WiFi availability, our system keeps the excess latency below 9 ms. We finally evaluate the capabilities of the upcoming 5G and 802. 11ax