no code implementations • 19 Apr 2024 • Yang Luo, Zangwei Zheng, Zirui Zhu, Yang You
This effectiveness, however, hinges on the appropriate selection of in-context examples, a process that is currently biased towards visual data, overlooking textual information.
1 code implementation • 31 Mar 2024 • Yang Luo, Zhineng Chen, Peng Zhou, Zuxuan Wu, Xieping Gao, Yu-Gang Jiang
The results demonstrate that LTRP outperforms both supervised and other self-supervised methods due to the fair assessment of image content.
no code implementations • 25 Mar 2024 • Yang Luo, Xiqing Guo, Hao Li
Due to the complementary nature of visible light and thermal infrared modalities, object tracking based on the fusion of visible light images and thermal images (referred to as RGB-T tracking) has received increasing attention from researchers in recent years.
Ranked #2 on Rgb-T Tracking on GTOT
no code implementations • 14 Mar 2024 • Wenyong Han, Tao Zhu Member, Liming Chen, Huansheng Ning, Yang Luo, Yaping Wan
Based on this strategy, we introduce MCformer, a multivariate time-series forecasting model with mixed channel features.
no code implementations • 14 Mar 2024 • Qian Ding, Jie Yang, Yang Luo, Chunbo Luo
This letter aims to provide a fundamental analytical comparison for the two major types of relaying methods: intelligent reflecting surfaces and full-duplex relays, particularly focusing on unmanned aerial vehicle communication scenarios.
no code implementations • 13 Mar 2024 • Qian Ding, Jie Yang, Yang Luo, Chunbo Luo
This commentary dedicates to envision what role THz is going to play in the coming human-centric 6G era.
no code implementations • 15 Sep 2023 • Shicai Wei, Yang Luo, Chunbo Luo
Specifically, we propose the joint adaptation network for the modality transfer task to preserve the privileged information.
1 code implementation • 31 Aug 2023 • Yang Luo, Xiqing Guo, Hui Feng, Lei Ao
Object tracking based on the fusion of visible and thermal im-ages, known as RGB-T tracking, has gained increasing atten-tion from researchers in recent years.
Ranked #2 on Rgb-T Tracking on RGBT210
2 code implementations • 5 Jul 2023 • Yang Luo, Xiaozhe Ren, Zangwei Zheng, Zhuo Jiang, Xin Jiang, Yang You
Adaptive gradient methods, such as Adam and LAMB, have demonstrated excellent performance in the training of large language models.
1 code implementation • NeurIPS 2023 • Zangwei Zheng, Xiaozhe Ren, Fuzhao Xue, Yang Luo, Xin Jiang, Yang You
By leveraging this information, we introduce an efficient sequence scheduling technique that groups queries with similar response lengths into micro-batches.
1 code implementation • CVPR 2023 • Shicai Wei, Yang Luo, Chunbo Luo
It consists of three components: the deployment network used for inference, the teacher network transferring comprehensive multimodal information to the deployment network, and the regularization network guiding the deployment network to balance weak modality combinations.
Ranked #56 on Semantic Segmentation on NYU Depth v2
no code implementations • 9 Apr 2023 • Yang Luo, Xiqing Guo, Mingtao Dong, Jin Yu
An RGB-T tracker based on mixed attention mechanism to achieve complementary fusion of modalities (referred to as MACFT) is proposed in this paper.
no code implementations • 2 Aug 2022 • Jieyu Zhang, Yujing Wang, Yaming Yang, Yang Luo, Alexander Ratner
Thus, in this work, we study the application of WS on binary classification tasks with positive labeling sources only.
1 code implementation • 20 Jul 2022 • Fuxin Zhang, Chunbo Luo, Jialang Xu, Yang Luo, FuChun Zheng
Automatic modulation recognition (AMR) detects the modulation scheme of the received signals for further signal processing without needing prior information, and provides the essential function when such information is missing.
no code implementations • 31 Mar 2022 • Yang Luo, Zhineng Chen, Shengtian Zhou, Xieping Gao
In this paper, we introduce MAE and verify the effect of visible patches for histopathological image understanding.
no code implementations • 15 Oct 2021 • Quoc Tran-Dinh, Yang Luo
In this paper, we develop a new type of accelerated algorithms to solve some classes of maximally monotone equations as well as monotone inclusions.
1 code implementation • 11 Oct 2021 • Fuxin Zhang, Chunbo Luo, Jialang Xu, Yang Luo
Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes.
1 code implementation • Remote Sensing 2021 • Jialang Xu, Chunbo Luo, Xinyue Chen, Shicai Wei, Yang Luo
In this paper we propose a novel multidirectional fusion and perception network for change detection in bi-temporal very-high-resolution remote sensing images.
Change Detection Change detection for remote sensing images +1
1 code implementation • IEEE Wireless Communications Letters 2020 • Jialang Xu, Chunbo Luo, Gerard Parr, Yang Luo
Automatic modulation recognition (AMR) plays a vital role in modern communication systems.
no code implementations • NIPS Workshop CDNNRIA 2018 • Yuxin Zhang, Huan Wang, Yang Luo, Lu Yu, Haoji Hu, Hangguan Shan, Tony Q. S. Quek
Despite enjoying extensive applications in video analysis, three-dimensional convolutional neural networks (3D CNNs)are restricted by their massive computation and storage consumption.