Search Results for author: Yang Luo

Found 18 papers, 8 papers with code

From Two Stream to One Stream: Efficient RGB-T Tracking via Mutual Prompt Learning and Knowledge Distillation

no code implementations25 Mar 2024 Yang Luo, Xiqing Guo, Hao Li

Due to the complementary nature of visible light and thermal in-frared 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.

Knowledge Distillation Object Tracking +1

Intelligent Reflecting Surfaces vs. Full-Duplex Relays: A Comparison in the Air

no code implementations14 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.

Towards the THz Networks in the 6G Era

no code implementations13 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.

Body Detection

One-stage Modality Distillation for Incomplete Multimodal Learning

no code implementations15 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.

Multi-Task Learning

RGB-T Tracking via Multi-Modal Mutual Prompt Learning

1 code implementation31 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.

Object Tracking Rgb-T Tracking

CAME: Confidence-guided Adaptive Memory Efficient Optimization

2 code implementations5 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.

Response Length Perception and Sequence Scheduling: An LLM-Empowered LLM Inference Pipeline

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.

Quantization Scheduling

MMANet: Margin-aware Distillation and Modality-aware Regularization for Incomplete Multimodal Learning

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.

Semantic Segmentation

RGB-T Tracking Based on Mixed Attention

no code implementations9 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.

Rgb-T Tracking

Binary Classification with Positive Labeling Sources

no code implementations2 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.

Benchmarking Binary Classification +1

Deep Learning Based Automatic Modulation Recognition: Models, Datasets, and Challenges

1 code implementation20 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.

Automatic Modulation Recognition

Halpern-Type Accelerated and Splitting Algorithms For Monotone Inclusions

no code implementations15 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.

Vocal Bursts Type Prediction

An Efficient Deep Learning Model for Automatic Modulation Recognition Based on Parameter Estimation and Transformation

1 code implementation11 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.

Automatic Modulation Recognition Intelligent Communication

Three Dimensional Convolutional Neural Network Pruning with Regularization-Based Method

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.

Model Compression Network Pruning

Cannot find the paper you are looking for? You can Submit a new open access paper.