Neha Bhargava

According to our database1, Neha Bhargava authored at least 15 papers between 2013 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
ImpartialGAN: Fair and Unbiased Classification.
Proceedings of the 23rd IEEE International Conference on Information Reuse and Integration for Data Science, 2022

2020
Challenges and Opportunities for Computer Vision in Real-life Soccer Analytics.
CoRR, 2020

Multi-timescale Trajectory Prediction for Abnormal Human Activity Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

2019
A Comparison of Approaches to Advertising Measurement: Evidence from Big Field Experiments at Facebook.
Mark. Sci., 2019

2018
Hierarchical Deep Network for Group Discovery and Multi-level Activity Recognition.
Proceedings of the ICVGIP 2018: 11th Indian Conference on Computer Vision, 2018

2017
Spatio-temporal interaction model for crowd video analysis.
CoRR, 2017

An Integrated Approach to Crowd Video Analysis: From Tracking to Multi-level Activity Recognition.
CoRR, 2017

2016
A Fully-Digital BIST Wrapper Based on Ternary Test Stimuli for the Dynamic Test of a 40 nm CMOS 18-bit Stereo Audio ΣΔ ADC.
IEEE Trans. Circuits Syst. I Regul. Pap., 2016

Practical Simulation Flow for Evaluating Analog/Mixed-Signal Test Techniques.
IEEE Des. Test, 2016

Crowd motion analysis for group detection.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

MPMF: multi-part multi-feature based object tracking.
Proceedings of the Tenth Indian Conference on Computer Vision, 2016

2015
Evaluation of low-cost mixed-signal test techniques for circuits with long simulation times.
Proceedings of the 2015 IEEE International Test Conference, 2015

2014
Finding group interactions in social gathering videos.
Proceedings of the 2014 Indian Conference on Computer Vision, 2014

2013
Fast compensation of illumination changes for background subtraction.
Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2013

Linear cyclic pursuit based prediction of personal space violation in surveillance video.
Proceedings of the IEEE Applied Imagery Pattern Recognition Workshop, 2013


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