149 citations · 219 across the 6 of their papers we have counts for
6 papers
\textit{4DSurf}: High-Fidelity Dynamic Scene Surface Reconstruction
Renjie Wu, Hongdong Li, Jose M. Alvarez +1
This paper addresses the problem of dynamic scene surface reconstruction using Gaussian Splatting (GS), aiming to recover temporally consistent geometry. While existing GS-based dy…
Matrix Profile XXVII: A Novel Distance Measure for Comparing Long Time Series
Audrey Der, Chin-Chia Michael Yeh, Renjie Wu +6
The most useful data mining primitives are distance measures. With an effective distance measure, it is possible to perform classification, clustering, anomaly detection, segmentat…
When is Early Classification of Time Series Meaningful?
Renjie Wu, Audrey Der, Eamonn J. Keogh
Since its introduction two decades ago, there has been increasing interest in the problem of early classification of time series. This problem generalizes classic time series class…
DCCRGAN: Deep Complex Convolution Recurrent Generator Adversarial Network for Speech Enhancement
Huixiang Huang, Renjie Wu, Jingbiao Huang +2
Generative adversarial network (GAN) still exists some problems in dealing with speech enhancement (SE) task. Some GAN-based systems adopt the same structure from Pixel-to-Pixel di…
Current Time Series Anomaly Detection Benchmarks are Flawed and are Creating the Illusion of Progress
Renjie Wu, Eamonn J. Keogh
Time series anomaly detection has been a perennially important topic in data science, with papers dating back to the 1950s. However, in recent years there has been an explosion of…
FastDTW is approximate and Generally Slower than the Algorithm it Approximates
Renjie Wu, Eamonn J. Keogh
Many time series data mining problems can be solved with repeated use of distance measure. Examples of such tasks include similarity search, clustering, classification, anomaly det…