Search Results for author: Tianyue Zheng

Found 15 papers, 2 papers with code

t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving

no code implementations13 Oct 2024 Pengfei Hu, Yuhang Qian, Tianyue Zheng, Ang Li, Zhe Chen, Yue Gao, Xiuzhen Cheng, Jun Luo

Given the wide adoption of multimodal sensors (e. g., camera, lidar, radar) by autonomous vehicles (AVs), deep analytics to fuse their outputs for a robust perception become imperative.

Autonomous Driving Contrastive Learning

Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition

no code implementations13 Oct 2024 Yuxuan Weng, Guoquan Wu, Tianyue Zheng, Yanbing Yang, Jun Luo

Radio-Frequency (RF)-based Human Activity Recognition (HAR) rises as a promising solution for applications unamenable to techniques requiring computer visions.

Few-Shot Learning Human Activity Recognition +2

Error Correction Code Transformer: From Non-Unified to Unified

no code implementations4 Oct 2024 Yongli Yan, Jieao Zhu, Tianyue Zheng, Jiaqi He, Linglong Dai

Channel coding is vital for reliable data transmission in modern wireless systems, and its significance will increase with the emergence of sixth-generation (6G) networks, which will need to support various error correction codes.

Decoder

MERIT: Multimodal Wearable Vital Sign Waveform Monitoring

no code implementations1 Oct 2024 Yongyang Tang, Zhe Chen, Ang Li, Tianyue Zheng, Zheng Lin, Jia Xu, Pin Lv, Zhe Sun, Yue Gao

Cardiovascular disease (CVD) is the leading cause of death and premature mortality worldwide, with occupational environments significantly influencing CVD risk, underscoring the need for effective cardiac monitoring and early warning systems.

HoloFed: Environment-Adaptive Positioning via Multi-band Reconfigurable Holographic Surfaces and Federated Learning

no code implementations10 Oct 2023 Jingzhi Hu, Zhe Chen, Tianyue Zheng, Robert Schober, Jun Luo

Our simulation results confirm that HoloFed achieves a 57% lower positioning error variance compared to a beam-scanning baseline and can effectively adapt to diverse environments.

Federated Learning Position +2

OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision

1 code implementation ICCV 2023 Shujie Zhang, Tianyue Zheng, Zhe Chen, Jingzhi Hu, Abdelwahed Khamis, Jiajun Liu, Jun Luo

To overcome the challenge in labeling RF imaging given its human incomprehensible nature, OCHID-Fi employs a cross-modality and cross-domain training process.

3D Pose Estimation Hand Pose Estimation

AutoFed: Heterogeneity-Aware Federated Multimodal Learning for Robust Autonomous Driving

no code implementations17 Feb 2023 Tianyue Zheng, Ang Li, Zhe Chen, Hongbo Wang, Jun Luo

Object detection with on-board sensors (e. g., lidar, radar, and camera) play a crucial role in autonomous driving (AD), and these sensors complement each other in modalities.

Autonomous Driving Federated Learning +3

Adv-4-Adv: Thwarting Changing Adversarial Perturbations via Adversarial Domain Adaptation

no code implementations1 Dec 2021 Tianyue Zheng, Zhe Chen, Shuya Ding, Chao Cai, Jun Luo

Whereas adversarial training can be useful against specific adversarial perturbations, they have also proven ineffective in generalizing towards attacks deviating from those used for training.

Domain Adaptation

MoRe-Fi: Motion-robust and Fine-grained Respiration Monitoring via Deep-Learning UWB Radar

no code implementations16 Nov 2021 Tianyue Zheng, Zhe Chen, Shujie Zhang, Chao Cai, Jun Luo

Crucial for healthcare and biomedical applications, respiration monitoring often employs wearable sensors in practice, causing inconvenience due to their direct contact with human bodies.

Data Augmentation Decoder

RF-Net: a Unified Meta-learning Framework for RF-enabled One-shot Human Activity Recognition

1 code implementation29 Oct 2021 Shuya Ding, Zhe Chen, Tianyue Zheng, Jun Luo

Radio-Frequency (RF) based device-free Human Activity Recognition (HAR) rises as a promising solution for many applications.

Human Activity Recognition Meta-Learning

V2iFi: in-Vehicle Vital Sign Monitoring via Compact RF Sensing

no code implementations28 Oct 2021 Tianyue Zheng, Zhe Chen, Chao Cai, Jun Luo, Xu Zhang

Given the significant amount of time people spend in vehicles, health issues under driving condition have become a major concern.

Heart Rate Variability

Enhancing RF Sensing with Deep Learning: A Layered Approach

no code implementations28 Oct 2021 Tianyue Zheng, Zhe Chen, Shuya Ding, Jun Luo

To better understand this potential, this article takes a layered approach to summarize RF sensing enabled by deep learning.

Deep Learning

SiWa: See into Walls via Deep UWB Radar

no code implementations27 Oct 2021 Tianyue Zheng, Zhe Chen, Jun Luo, Lin Ke, Chaoyang Zhao, Yaowen Yang

To this end, we equip SiWa with a deep learning pipeline to parse the rich sensory data.

Variational Component Decoder for Source Extraction from Nonlinear Mixture

no code implementations29 Sep 2021 Shujie Zhang, Tianyue Zheng, Zhe Chen, Jun Luo, Sinno Pan

In many practical scenarios of signal extraction from a nonlinear mixture, only one (signal) source is intended to be extracted.

blind source separation Decoder +3

Cross-Age LFW: A Database for Studying Cross-Age Face Recognition in Unconstrained Environments

no code implementations28 Aug 2017 Tianyue Zheng, Weihong Deng, Jiani Hu

Labeled Faces in the Wild (LFW) database has been widely utilized as the benchmark of unconstrained face verification and due to big data driven machine learning methods, the performance on the database approaches nearly 100%.

Attribute Face Recognition +2

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