activity
20172019
most citedHuman Action Forecasting by Learning Task Grammars

12 citations · 21 across the 6 of their papers we have counts for

collaborators

6 papers

cs.LG20195 cited

Game Theoretic Optimization via Gradient-based Nikaido-Isoda Function

Arvind U. Raghunathan, Anoop Cherian, Devesh K. Jha

Computing Nash equilibrium (NE) of multi-player games has witnessed renewed interest due to recent advances in generative adversarial networks. However, computing equilibrium effic…

cs.CV2018

Neural Algebra of Classifiers

Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian +1

The world is fundamentally compositional, so it is natural to think of visual recognition as the recognition of basic visually primitives that are composed according to well-define…

cs.CV201712 cited

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…

cs.CV20172 cited

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…

cs.CV20172 cited

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…

cs.CV2017

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…