Abhinav Goel

Orcid: 0000-0003-1827-1389

According to our database1, Abhinav Goel authored at least 26 papers between 2012 and 2025.

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

Timeline

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Links

On csauthors.net:

Bibliography

2025
Impact of economic and socio-political risk factors on sovereign credit ratings.
Inf. Process. Manag., 2025

2024
Challenges and practices of deep learning model reengineering: A case study on computer vision.
Empir. Softw. Eng., November, 2024

Decaying inventory model with different rates and varying costs under preservation technology investment.
Int. J. Math. Oper. Res., 2024

2023
Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision.
IEEE Des. Test, June, 2023

Observing Human Mobility Internationally During COVID-19.
Computer, March, 2023

2022
Why Accuracy is Not Enough: The Need for Consistency in Object Detection.
IEEE Multim., 2022

Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach.
Proceedings of the HotMobile '22: The 23rd International Workshop on Mobile Computing Systems and Applications, Tempe, Arizona, USA, March 9, 2022

Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision.
Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision.
Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021
Modular Neural Networks for Low-Power Image Classification on Embedded Devices.
ACM Trans. Design Autom. Electr. Syst., 2021

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks.
Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

Dynamic Adjustment of Concurrent Neural Networks within Limited Power Thermal Constraints in Autonomous Driving.
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2020
Analyzing Worldwide Social Distancing through Large-Scale Computer Vision.
CoRR, 2020

Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras.
CoRR, 2020

A Survey of Methods for Low-Power Deep Learning and Computer Vision.
Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Low-power object counting with hierarchical neural networks.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

Camera Placement Meeting Restrictions of Computer Vision.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Low-Power Computer Vision: Status, Challenges, and Opportunities.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2019

Low-Power Computer Vision: Status, Challenges, Opportunities.
CoRR, 2019

2018
Robustness of the Counting Rule for Distributed Detection in Wireless Sensor Networks.
IEEE Signal Process. Lett., 2018

CompactNet: High Accuracy Deep Neural Network Optimized for On-Chip Implementation.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2016
RFID sensor network based pervasive computing.
Proceedings of the Eighth International Conference on Ubiquitous and Future Networks, 2016

Secured and energy efficient architecture for sensor networks.
Proceedings of the IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications, 2016

2013
Efficient Category Mining by Leveraging Instance Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Are buildings only instances?: exploration in architectural style categories.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012


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