1 code implementation • 15 Mar 2024 • Yi Xu, Kunyu Peng, Di Wen, Ruiping Liu, Junwei Zheng, Yufan Chen, Jiaming Zhang, Alina Roitberg, Kailun Yang, Rainer Stiefelhagen
In this study, we bridge this gap by implementing a framework that augments well-established skeleton-based human action recognition methods with label-denoising strategies from various research areas to serve as the initial benchmark.
2 code implementations • 15 May 2023 • Kunyu Peng, Di Wen, David Schneider, Jiaming Zhang, Kailun Yang, M. Saquib Sarfraz, Rainer Stiefelhagen, Alina Roitberg
In this work, we focus on Few-Shot Domain Adaptation for Activity Recognition (FSDA-AR), which leverages a very small amount of labeled target videos to achieve effective adaptation.
no code implementations • 17 Dec 2020 • Sirjan Kafle, Aman Gupta, Xue Xia, Ananth Sankar, Xi Chen, Di Wen, Liang Zhang
SGMM represents each video by the parameters of a Gaussian mixture model (GMM) trained for that video.