53 citations · 111 across the 28 of their papers we have counts for
4 papers · 1 filter
Human Action Forecasting by Learning Task Grammars
Tengda Han, Jue Wang, Anoop Cherian +1
For effective human-robot interaction, it is important that a robotic assistant can forecast the next action a human will consider in a given task. Unfortunately, real-world tasks…
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version)
Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi +2
Symmetric positive definite (SPD) matrices are useful for capturing second-order statistics of visual data. To compare two SPD matrices, several measures are available, such as the…
Human Pose Forecasting via Deep Markov Models
Sam Toyer, Anoop Cherian, Tengda Han +1
Human pose forecasting is an important problem in computer vision with applications to human-robot interaction, visual surveillance, and autonomous driving. Usually, forecasting al…
Sequence Summarization Using Order-constrained Kernelized Feature Subspaces
Anoop Cherian, Suvrit Sra, Richard Hartley
Representations that can compactly and effectively capture temporal evolution of semantic content are important to machine learning algorithms that operate on multi-variate time-se…