activity
20172021
most citedHuman Trajectory Prediction using Spatially aware Deep Attention Models

77 citations · 88 across the 4 of their papers we have counts for

collaborators

5 papers

cs.AI20211 cited

Why Settle for Just One? Extending EL++ Ontology Embeddings with Many-to-Many Relationships

Biswesh Mohapatra, Sumit Bhatia, Raghava Mutharaju +1

Knowledge Graph (KG) embeddings provide a low-dimensional representation of entities and relations of a Knowledge Graph and are used successfully for various applications such as q…

cs.CV2021

One-shot domain adaptation for semantic face editing of real world images using StyleALAE

Ravi Kiran Reddy, Kumar Shubham, Gopalakrishnan Venkatesh +4

Semantic face editing of real world facial images is an important application of generative models. Recently, multiple works have explored possible techniques to generate such modi…

cs.CL202110 cited

Unsupervised Contextual Paraphrase Generation using Lexical Control and Reinforcement Learning

Sonal Garg, Sumanth Prabhu, Hemant Misra +1

Customer support via chat requires agents to resolve customer queries with minimum wait time and maximum customer satisfaction. Given that the agents as well as the customers can h…

cs.CV2020

Learning a Deep Reinforcement Learning Policy Over the Latent Space of a Pre-trained GAN for Semantic Age Manipulation

Kumar Shubham, Gopalakrishnan Venkatesh, Reijul Sachdev +3

Learning a disentangled representation of the latent space has become one of the most fundamental problems studied in computer vision. Recently, many Generative Adversarial Network…

cs.LG201777 cited

Human Trajectory Prediction using Spatially aware Deep Attention Models

Daksh Varshneya, G. Srinivasaraghavan

Trajectory Prediction of dynamic objects is a widely studied topic in the field of artificial intelligence. Thanks to a large number of applications like predicting abnormal events…