activity
20172024
most citedConcurrent Activity Recognition with Multimodal CNN-LSTM Structure

32 citations · 45 across the 6 of their papers we have counts for

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6 papers · 1 filter

cs.CV2024

MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning

Wenjin Zhang, Keyi Li, Sen Yang +4

Conventional methods in semi-supervised learning (SSL) often face challenges related to limited data utilization, mainly due to their reliance on threshold-based techniques for sel…

cs.CV2021

VidTr: Video Transformer Without Convolutions

Yanyi Zhang, Xinyu Li, Chunhui Liu +6

We introduce Video Transformer (VidTr) with separable-attention for video classification. Comparing with commonly used 3D networks, VidTr is able to aggregate spatio-temporal infor…

cs.CV2020

Multi-Label Activity Recognition using Activity-specific Features and Activity Correlations

Yanyi Zhang, Xinyu Li, Ivan Marsic

Multi-label activity recognition is designed for recognizing multiple activities that are performed simultaneously or sequentially in each video. Most recent activity recognition n…

cs.CV2018

Tri-axial Self-Attention for Concurrent Activity Recognition

Yanyi Zhang, Xinyu Li, Kaixiang Huang +3

We present a system for concurrent activity recognition. To extract features associated with different activities, we propose a feature-to-activity attention that maps the extracte…

cs.CV20178 cited

Online People Tracking and Identification with RFID and Kinect

Xinyu Li, Yanyi Zhang, Ivan Marsic +1

We introduce a novel, accurate and practical system for real-time people tracking and identification. We used a Kinect V2 sensor for tracking that generates a body skeleton for up…

cs.CV201732 cited

Concurrent Activity Recognition with Multimodal CNN-LSTM Structure

Xinyu Li, Yanyi Zhang, Jianyu Zhang +4

We introduce a system that recognizes concurrent activities from real-world data captured by multiple sensors of different types. The recognition is achieved in two steps. First, w…