activity
20202026
most citedAligning Correlation Information for Domain Adaptation in Action Recognition

40 citations · 113 across the 31 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

cs.LG2024

EverAdapt: Continuous Adaptation for Dynamic Machine Fault Diagnosis Environments

Edward, Mohamed Ragab, Yuecong Xu +4

Unsupervised Domain Adaptation (UDA) has emerged as a key solution in data-driven fault diagnosis, addressing domain shift where models underperform in changing environments. Howev…

cs.LG2024

LLM-based Knowledge Pruning for Time Series Data Analytics on Edge-computing Devices

Ruibing Jin, Qing Xu, Min Wu +4

Limited by the scale and diversity of time series data, the neural networks trained on time series data often overfit and show unsatisfacotry performances. In comparison, large lan…

cs.CV2024

Diffusion Model is a Good Pose Estimator from 3D RF-Vision

Junqiao Fan, Jianfei Yang, Yuecong Xu +1

Human pose estimation (HPE) from Radio Frequency vision (RF-vision) performs human sensing using RF signals that penetrate obstacles without revealing privacy (e.g., facial informa…

cs.CV2024

Interactive Test-Time Adaptation with Reliable Spatial-Temporal Voxels for Multi-Modal Segmentation

Haozhi Cao, Yuecong Xu, Pengyu Yin +4

Multi-modal test-time adaptation (MM-TTA) adapts models to an unlabeled target domain by leveraging the complementary multi-modal inputs in an online manner. While previous MM-TTA…

cs.CV2024

MaskFi: Unsupervised Learning of WiFi and Vision Representations for Multimodal Human Activity Recognition

Jianfei Yang, Shijie Tang, Yuecong Xu +2

Human activity recognition (HAR) has been playing an increasingly important role in various domains such as healthcare, security monitoring, and metaverse gaming. Though numerous H…