32 citations · 46 across the 7 of their papers we have counts for
7 papers
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…
TubeR: Tubelet Transformer for Video Action Detection
Jiaojiao Zhao, Yanyi Zhang, Xinyu Li +10
We propose TubeR: a simple solution for spatio-temporal video action detection. Different from existing methods that depend on either an off-line actor detector or hand-designed ac…
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…
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…
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…
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…
Progress Estimation and Phase Detection for Sequential Processes
Xinyu Li, Yanyi Zhang, Jianyu Zhang +7
Process modeling and understanding are fundamental for advanced human-computer interfaces and automation systems. Most recent research has focused on activity recognition, but litt…