5 citations · 5 across the 2 of their papers we have counts for
2 papers
cs.CV2022★ 5 cited
Context-LSTM: a robust classifier for video detection on UCF101
Dengshan Li, Rujing Wang
Video detection and human action recognition may be computationally expensive, and need a long time to train models. In this paper, we were intended to reduce the training time and…
cs.LG2021
A stepped sampling method for video detection using LSTM
Dengshan Li, Rujing Wang, Chengjun Xie
Artificial neural networks that simulate human achieves great successes. From the perspective of simulating human memory method, we propose a stepped sampler based on the "repeated…