8 citations · 21 across the 8 of their papers we have counts for
8 papers
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…
Computing a human-like reaction time metric from stable recurrent vision models
Lore Goetschalckx, Lakshmi Narasimhan Govindarajan, Alekh Karkada Ashok +3
The meteoric rise in the adoption of deep neural networks as computational models of vision has inspired efforts to "align" these models with humans. One dimension of interest for…
Tracking Without Re-recognition in Humans and Machines
Drew Linsley, Girik Malik, Junkyung Kim +3
Imagine trying to track one particular fruitfly in a swarm of hundreds. Higher biological visual systems have evolved to track moving objects by relying on both appearance and moti…
Stable and expressive recurrent vision models
Drew Linsley, Alekh Karkada Ashok, Lakshmi Narasimhan Govindarajan +2
Primate vision depends on recurrent processing for reliable perception. A growing body of literature also suggests that recurrent connections improve the learning efficiency and ge…
Robust pose tracking with a joint model of appearance and shape
Yuliang Guo, Lakshmi Narasimhan Govindarajan, Benjamin Kimia +1
We present a novel approach for estimating the 2D pose of an articulated object with an application to automated video analysis of small laboratory animals. We have found that defo…
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…
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…
Hand Action Detection from Ego-centric Depth Sequences with Error-correcting Hough Transform
Chi Xu, Lakshmi Narasimhan Govindarajan, Li Cheng
Detecting hand actions from ego-centric depth sequences is a practically challenging problem, owing mostly to the complex and dexterous nature of hand articulations as well as non-…