activity
20172020
most citedConcurrent Activity Recognition with Multimodal CNN-LSTM Structure

32 citations · 62 across the 8 of their papers we have counts for

collaborators

8 papers

cs.AI2020

Using Sampling Strategy to Assist Consensus Sequence Analysis

Zhichao Xu, Shuhong Chen

Consensus Sequences of event logs are often used in process mining to quickly grasp the core sequence of events to be performed in a process, or to represent the backbone of the pr…

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.CL2018★ 10 cited

Multimodal Affective Analysis Using Hierarchical Attention Strategy with Word-Level Alignment

Yue Gu, Kangning Yang, Shiyu Fu +3

Multimodal affective computing, learning to recognize and interpret human affects and subjective information from multiple data sources, is still challenging because: (i) it is har…

cs.CL2018★ 12 cited

Deep Multimodal Learning for Emotion Recognition in Spoken Language

Yue Gu, Shuhong Chen, Ivan Marsic

In this paper, we present a novel deep multimodal framework to predict human emotions based on sentence-level spoken language. Our architecture has two distinctive characteristics.…

cs.DS2017

Process-oriented Iterative Multiple Alignment for Medical Process Mining

Shuhong Chen, Sen Yang, Moliang Zhou +2

Adapted from biological sequence alignment, trace alignment is a process mining technique used to visualize and analyze workflow data. Any analysis done with this method, however,…

cs.CV2017★ 32 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…

cs.LG2017

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…

cs.OH2017★ 8 cited

Evaluation of Trace Alignment Quality and its Application in Medical Process Mining

Moliang Zhou, Sen Yang, Shuyu Lv +5

Trace alignment algorithms have been used in process mining for discovering the consensus treatment procedures and process deviations. Different alignment algorithms, however, may…