activity
20172019
most citedDeLiGAN : Generative Adversarial Networks for Diverse and Limited Data

13 citations · 14 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG20191 cited

MAME : Model-Agnostic Meta-Exploration

Swaminathan Gurumurthy, Sumit Kumar, Katia Sycara

Meta-Reinforcement learning approaches aim to develop learning procedures that can adapt quickly to a distribution of tasks with the help of a few examples. Developing efficient ex…

cs.CV2018

Community Regularization of Visually-Grounded Dialog

Akshat Agarwal, Swaminathan Gurumurthy, Vasu Sharma +2

The task of conducting visually grounded dialog involves learning goal-oriented cooperative dialog between autonomous agents who exchange information about a scene through several…

cs.CV2018

High Fidelity Semantic Shape Completion for Point Clouds using Latent Optimization

Swaminathan Gurumurthy, Shubham Agrawal

Semantic shape completion is a challenging problem in 3D computer vision where the task is to generate a complete 3D shape using a partial 3D shape as input. We propose a learning-…

cs.CY2018

Exploiting Data and Human Knowledge for Predicting Wildlife Poaching

Swaminathan Gurumurthy, Lantao Yu, Chenyan Zhang +4

Poaching continues to be a significant threat to the conservation of wildlife and the associated ecosystem. Estimating and predicting where the poachers have committed or would com…

cs.CV201713 cited

DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data

Swaminathan Gurumurthy, Ravi Kiran Sarvadevabhatla, Venkatesh Babu Radhakrishnan

A class of recent approaches for generating images, called Generative Adversarial Networks (GAN), have been used to generate impressively realistic images of objects, bedrooms, han…