Saurabh Singh

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024

Potential of Lightweight Drones and Object-Oriented Image Segmentation in Forest Plantation Assessment.

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[DOI]

Remote. Sens., May, 2024

An intelligent human-centric systems to diagnose breast cancer using machine learning and optimized feature selection techniques.

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[DOI]

Trans. Emerg. Telecommun. Technol., April, 2024

Fault-tolerant independent gradient forwarding routing for wireless sensor network.

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[DOI]

Saurabh Singh

Sarvpal Singh

Jay Prakash

Int. J. Commun. Syst., 2024

Fourier Head: Helping Large Language Models Learn Complex Probability Distributions.

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[DOI]

CoRR, 2024

Stochastic Sampling from Deterministic Flow Models.

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[DOI]

Saurabh Singh

Ian Fischer

CoRR, 2024

Artificial Neural Network Based Spectrum Sensing in Wireless Regional Area Network.

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[DOI]

IEEE Access, 2024

Fourier Basis Density Model.

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[DOI]

Alfredo De la Fuente

Saurabh Singh

Johannes Ballé

Proceedings of the Picture Coding Symposium, 2024

2023

A long-term regional variability analysis of wintertime temperature and its deep learning aspects.

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[DOI]

Earth Sci. Informatics, December, 2023

Estimation of population mean in presence of missing data under simple random sampling.

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[DOI]

Commun. Stat. Simul. Comput., December, 2023

Energy-Efficient Void Size Adaptable Graded Greedy Gradient Approach to Bypass Holes in Wireless Sensor Network.

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[DOI]

Saurabh Singh

Sarvpal Singh

Jay Prakash

Wirel. Pers. Commun., August, 2023

ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation.

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[DOI]

Eleftheria Panagiotaki

Paddy J. Slator

CoRR, 2023

Weighted Ensemble Self-Supervised Learning.

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[DOI]

Yangjun Ruan

Saurabh Singh

Warren Richard Morningstar

Proceedings of the Eleventh International Conference on Learning Representations, 2023

LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification.

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[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Diabetic Retinopathy Detection Using Novel Loss Function in Deep Learning.

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[DOI]

Saurabh Singh

B. Annappa

Shubham Dodia

Proceedings of the Computer Vision and Image Processing - 8th International Conference, 2023

2022

Machine learning driven intelligent and self adaptive system for traffic management in smart cities.

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[DOI]

Kishor Kumar Sadasivuni

Computing, 2022

EFCSA: An Efficient Carry Speculative Approximate Adder with Rectification.

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[DOI]

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

HPAM: An 8-bit High-Performance Approximate Multiplier Design for Error Resilient Applications.

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[DOI]

Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

AxLEAP: Enabling Low-Power Approximations Through Unified Power Format.

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[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

ART-MAC: Approximate Rounding and Truncation based MAC Unit for Fault-Tolerant Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications.

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[DOI]

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

2021

Nonlinear Transform Coding.

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[DOI]

IEEE J. Sel. Top. Signal Process., 2021

A High Gain, UWB Vivaldi Antenna Loaded With Unit Cells for Imaging /RFID Applications.

[BibT_eX]

[DOI]

Vibhor Binzlekar

Saurabh Singh

Smriti Agarwal

Proceedings of the IEEE International Conference on RFID Technology and Applications, 2021

3D Scene Compression through Entropy Penalized Neural Representation Functions.

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[DOI]

Proceedings of the Picture Coding Symposium, 2021

SAM: A Segmentation Based Approximate Multiplier for Error Tolerant Applications.

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[DOI]

Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict.

[BibT_eX]

[DOI]

Eleftheria Panagiotaki

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Intelligent Traffic Signal Management using DRL for a Real-time Road Network in ITS.

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[DOI]

Proceedings of the IC3 2021: Thirteenth International Conference on Contemporary Computing, Noida, India, August 5, 2021

2020

Scalable Model Compression by Entropy Penalized Reparameterization.

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[DOI]

Proceedings of the 8th International Conference on Learning Representations, 2020

End-to-End Learning of Compressible Features.

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[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2020

Channel-Wise Autoregressive Entropy Models for Learned Image Compression.

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[DOI]

David Minnen

Saurabh Singh

Proceedings of the IEEE International Conference on Image Processing, 2020

An Approximate Carry Estimating Simultaneous Adder with Rectification.

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[DOI]

Proceedings of the GLSVLSI '20: Great Lakes Symposium on VLSI 2020, 2020

Deep Implicit Volume Compression.

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[DOI]

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks.

[BibT_eX]

[DOI]

Saurabh Singh

Shankar Krishnan

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

PatchVAE: Learning Local Latent Codes for Recognition.

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[DOI]

Kamal Gupta

Saurabh Singh

Abhinav Shrivastava

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Model Compression by Entropy Penalized Reparameterization.

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[DOI]

CoRR, 2019

EvalNorm: Estimating Batch Normalization Statistics for Evaluation.

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[DOI]

Saurabh Singh

Abhinav Shrivastava

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Pattern recognition based on specific weights.

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[DOI]

Saurabh Singh

Madhavi Sinha

Int. J. Appl. Pattern Recognit., 2018

Variational image compression with a scale hyperprior.

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[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Image-Dependent Local Entropy Models for Learned Image Compression.

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[DOI]

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks.

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[DOI]

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Target-Quality Image Compression with Recurrent, Convolutional Neural Networks.

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[DOI]

CoRR, 2017

Toward sclera-force-based robotic assistance for safe micromanipulation in vitreoretinal surgery.

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[DOI]

Proceedings of the 2017 IEEE SENSORS, Glasgow, United Kingdom, October 29, 2017

Spatially adaptive image compression using a tiled deep network.

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[DOI]

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era.

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[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2017

No Fuss Distance Metric Learning Using Proxies.

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[DOI]

Yair Movshovitz-Attias

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

Forensic sketch recognition using user specific facial region.

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[DOI]

Saurabh Singh

Madhavi Sinha

Int. J. Biom., 2016

SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning.

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[DOI]

CoRR, 2016

Key Management Techniques for Securing MANET.

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[DOI]

Proceedings of the WIR '16: Women in Research 2016, Indore India, March, 2016, 2016

2015

What makes Paris look like Paris?

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[DOI]

Commun. ACM, 2015

Cluster-centric medium access control for WSNs in structural health monitoring.

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[DOI]

Saurabh Singh

Winston Khoon Guan Seah

Bryan C. K. Ng

Proceedings of the 13th International Symposium on Modeling and Optimization in Mobile, 2015

2013

Fractal and Mathematical Morphology in Intricate Comparison between Tertiary Protein Structures.

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[DOI]

Ranjeet Kumar Rout

Pabitra Pal Choudhury

Sarif Sk. Hassan

Saurabh Singh

CoRR, 2013

2012

Unsupervised Discovery of Mid-Level Discriminative Patches.

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[DOI]

Saurabh Singh

Abhinav Gupta

Alexei A. Efros

Proceedings of the Computer Vision - ECCV 2012, 2012

Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes.

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[DOI]

Abhinav Shrivastava

Saurabh Singh

Abhinav Gupta

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

ECG Arrhythmia Classification Using Spearman Rank Correlation and Support Vector Machine.

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[DOI]

Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011

Generating Cancelable Fingerprint Using Drawing Code.

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[DOI]

K. V. Arya

Saurabh Singh

Proceedings of the International Conference on Soft Computing for Problem Solving (SocProS 2011) December 20-22, 2011, 2011

Computation of Fourier Bessel Transform Using Hybrid Functions.

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Rajesh K. Pandey

Vineet K. Singh

Saurabh Singh

Proceedings of the 5th Indian International Conference on Artificial Intelligence, 2011

2010

A stable algorithm for Hankel transforms using hybrid of Block-pulse and Legendre polynomials.

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[DOI]

Vineet K. Singh

Rajesh K. Pandey

Saurabh Singh

Comput. Phys. Commun., 2010

2008

Automatic 3D Facial Feature Extraction Algorithm.

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[DOI]

Vandana Dixit Kaushik

Proceedings of the NTMS 2008, 2008

2006

Face recognition by fusing thermal infrared and visible imagery.

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[DOI]

Image Vis. Comput., 2006

Novel Architecture for On-Chip AC Characterization of I/Os.

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[DOI]

Proceedings of the 2006 IEEE International Test Conference, 2006

Low Voltage Analogue Multiplier.

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[DOI]

Saurabh Singh

K. Radhakrishna Rao

Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006

Saurabh Singh

Bibliography

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