3 papers
cs.LG2023
Diagnosing and exploiting the computational demands of videos games for deep reinforcement learning
Lakshmi Narasimhan Govindarajan, Rex G Liu, Drew Linsley +4
Humans learn by interacting with their environments and perceiving the outcomes of their actions. A landmark in artificial intelligence has been the development of deep reinforceme…
stat.ML2017
An Interval-Based Bayesian Generative Model for Human Complex Activity Recognition
Li Liu, Yongzhong Yang, Lakshmi Narasimhan Govindarajan +4
Complex activity recognition is challenging due to the inherent uncertainty and diversity of performing a complex activity. Normally, each instance of a complex activity has its ow…
cs.CV2016
Lie-X: Depth Image Based Articulated Object Pose Estimation, Tracking, and Action Recognition on Lie Groups
Chi Xu, Lakshmi Narasimhan Govindarajan, Yu Zhang +1
Pose estimation, tracking, and action recognition of articulated objects from depth images are important and challenging problems, which are normally considered separately. In this…