activity
20182021
most citedLiterature Survey on Finding Influential Communities in Large Scale Networks

1 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV20211 cited

YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs

Prakhar Ganesh, Yao Chen, Yin Yang +2

Performance of object detection models has been growing rapidly on two major fronts, model accuracy and efficiency. However, in order to map deep neural network (DNN) based object…

cs.CV2021

Free Lunch for Co-Saliency Detection: Context Adjustment

Lingdong Kong, Prakhar Ganesh, Tan Wang +3

We unveil a long-standing problem in the prevailing co-saliency detection systems: there is indeed inconsistency between training and testing. Constructing a high-quality co-salien…

cs.SI20191 cited

Literature Survey on Finding Influential Communities in Large Scale Networks

Prakhar Ganesh, Saket Dingliwal, Rahul Agarwal

Community or modular structure is considered to be a significant property of large scale real-world graphs such as social or information networks. Detecting influential clusters or…

cs.CL2019

Restructuring Conversations using Discourse Relations for Zero-shot Abstractive Dialogue Summarization

Prakhar Ganesh, Saket Dingliwal

Dialogue summarization is a challenging problem due to the informal and unstructured nature of conversational data. Recent advances in abstractive summarization have been focused o…

cs.LG2018

VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading

Prakhar Ganesh, Puneet Rakheja

Financial trading is at the forefront of time-series analysis, and has grown hand-in-hand with it. The advent of electronic trading has allowed complex machine learning solutions t…