Saurabh Singh

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 65

Top Topics

Image Compression

Diabetic Retinopathy

Top Venues

Publications

Alfredo De la Fuente, Saurabh Singh, Johannes Ballé
Fourier Basis Density Model. PCS (2024)
Jitendra Dixit, Ashok Kumar Bhardwaj, Saurabh Kumar Gupta, Suraj Kumar Singh, Gowhar Meraj, Pankaj Kumar, Shruti Kanga, Saurabh Singh, Bhartendu Sajan
Potential of Lightweight Drones and Object-Oriented Image Segmentation in Forest Plantation Assessment. Remote. Sens. 16 (9) (2024)
Sharad Jain, Ashwani Kumar Yadav, Raj Kumar, Indra Kumar Shah, Prashant Kumar, Saurabh Singh, In-Ho Ra
Artificial Neural Network Based Spectrum Sensing in Wireless Regional Area Network. IEEE Access 12 (2024)
Ashok Kumar, Saurabh Singh, Mahadev, Rahul Kumar
An intelligent human-centric systems to diagnose breast cancer using machine learning and optimized feature selection techniques. Trans. Emerg. Telecommun. Technol. 35 (4) (2024)
Alfredo De la Fuente, Saurabh Singh, Johannes Ballé
Fourier Basis Density Model. CoRR (2024)
Saurabh Singh, R. Bhatla, Palash Sinha, Manas Pant
A long-term regional variability analysis of wintertime temperature and its deep learning aspects. Earth Sci. Informatics 16 (4) (2023)
Saurabh Singh, B. Annappa, Shubham Dodia
Diabetic Retinopathy Detection Using Novel Loss Function in Deep Learning. CVIP (1) (2023)
Shashi Bhushan, Anoop Kumar, Abhay Pratap Pandey, Saurabh Singh
Estimation of population mean in presence of missing data under simple random sampling. Commun. Stat. Simul. Comput. 52 (12) (2023)
Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. ICLR (2023)
Saurabh Singh, Sarvpal Singh, Jay Prakash
Energy-Efficient Void Size Adaptable Graded Greedy Gradient Approach to Bypass Holes in Wireless Sensor Network. Wirel. Pers. Commun. 131 (3) (2023)
Snigdha Sen, Saurabh Singh, Hayley Pye, Caroline M. Moore, Hayley C. Whitaker, Shonit Punwani, David Atkinson, Eleftheria Panagiotaki, Paddy J. Slator
ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation. CoRR (2023)
Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
Weighted Ensemble Self-Supervised Learning. ICLR (2023)
Sagar Satapathy, Saurabh Singh, Kaustav Goswami, Vishesh Mishra, Divy Pandey, Dip Sankar Banerjee
AxLEAP: Enabling Low-Power Approximations Through Unified Power Format. ISCAS (2022)
Yangjun Ruan, Saurabh Singh, Warren R. Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
Weighted Ensemble Self-Supervised Learning. CoRR (2022)
Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification. CoRR (2022)
Vishesh Mishra, Sparsh Mittal, Saurabh Singh, Divy Pandey, Rekha Singhal
MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications. ACM Great Lakes Symposium on VLSI (2022)
Vishesh Mishra, Divy Pandey, Saurabh Singh, Sagar Satapathy, Kaustav Goswami, Babita Jajodia, Dip Sankar Banerjee
ART-MAC: Approximate Rounding and Truncation based MAC Unit for Fault-Tolerant Applications. ISCAS (2022)
Divy Pandey, Vishesh Mishra, Saurabh Singh, Sagar Satapathy, Babita Jajodia, Dip Sankar Banerjee
HPAM: An 8-bit High-Performance Approximate Multiplier Design for Error Resilient Applications. ISQED (2022)
Hameed Khan, Kamal K. Kushwah, Muni Raj Maurya, Saurabh Singh, Prashant Jha, Sujeet K. Mahobia, Sanjay Soni, Subham Sahu, Kishor Kumar Sadasivuni
Machine learning driven intelligent and self adaptive system for traffic management in smart cities. Computing 104 (5) (2022)
Saurabh Singh, Vishesh Mishra, Sagar Satapathy, Divy Pandey, Kaustav Goswami, Dip Sankar Banerjee, Babita Jajodia
EFCSA: An Efficient Carry Speculative Approximate Adder with Rectification. ISQED (2022)
Vanya V. Valindria, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki
Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict. ISBI (2021)
Ananya Paul, Krishnendu Bera, Devtanu Misra, Sattwik Barua, Saurabh Singh, Nishu Nishant Kumar, Sulata Mitra
Intelligent Traffic Signal Management using DRL for a Real-time Road Network in ITS. IC3 (2021)
Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou
3D Scene Compression through Entropy Penalized Neural Representation Functions. PCS (2021)
Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou
3D Scene Compression through Entropy Penalized Neural Representation Functions. CoRR (2021)
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
Nonlinear Transform Coding. IEEE J. Sel. Top. Signal Process. 15 (2) (2021)
Thippa Reddy Gadekallu, Dharmendra Singh Rajput, M. Praveen Kumar Reddy, Kuruva Lakshmanna, Sweta Bhattacharya, Saurabh Singh, Alireza Jolfaei, Mamoun Alazab
A novel PCA-whale optimization-based deep neural network model for classification of tomato plant diseases using GPU. J. Real Time Image Process. 18 (4) (2021)
Divy Pandey, Saurabh Singh, Vishesh Mishra, Sagar Satapathy, Dip Sankar Banerjee
SAM: A Segmentation Based Approximate Multiplier for Error Tolerant Applications. ISCAS (2021)
Medabalimi S. Rao, Bodireddy E. Reddy, Kadiyala Ramana, Kottapalli Prasanna, Saurabh Singh
Texture classification using Minkowski distance measure-based clustering for feature selection. J. Electronic Imaging 31 (4) (2021)
Vibhor Binzlekar, Saurabh Singh, Smriti Agarwal
A High Gain, UWB Vivaldi Antenna Loaded With Unit Cells for Imaging /RFID Applications. RFID-TA (2021)
Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
PatchVAE: Learning Local Latent Codes for Recognition. CoRR (2020)
Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava
Scalable Model Compression by Entropy Penalized Reparameterization. ICLR (2020)
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
Nonlinear Transform Coding. CoRR (2020)
Saurabh Singh, Shankar Krishnan
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. CVPR (2020)
Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, Dip Sankar Banerjee
An Approximate Carry Estimating Simultaneous Adder with Rectification. CoRR (2020)
David Minnen, Saurabh Singh
Channel-Wise Autoregressive Entropy Models for Learned Image Compression. ICIP (2020)
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
End-to-end Learning of Compressible Features. CoRR (2020)
Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip L. Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin
Deep Implicit Volume Compression. CoRR (2020)
Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, Dip Sankar Banerjee
An Approximate Carry Estimating Simultaneous Adder with Rectification. ACM Great Lakes Symposium on VLSI (2020)
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
End-to-End Learning of Compressible Features. ICIP (2020)
Mohan Krishna Kagita, Navod Thilakarathne, Thippa Reddy Gadekallu, Praveen Kumar Reddy Maddikunta, Saurabh Singh
A Review on Cyber Crimes on the Internet of Things. CoRR (2020)
Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip L. Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin
Deep Implicit Volume Compression. CVPR (2020)
David Minnen, Saurabh Singh
Channel-wise Autoregressive Entropy Models for Learned Image Compression. CoRR (2020)
Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
PatchVAE: Learning Local Latent Codes for Recognition. CVPR (2020)
Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava
Model Compression by Entropy Penalized Reparameterization. CoRR (2019)
Saurabh Singh, Shankar Krishnan
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks. CoRR (2019)
Saurabh Singh, Abhinav Shrivastava
EvalNorm: Estimating Batch Normalization Statistics for Evaluation. ICCV (2019)
Saurabh Singh, Abhinav Shrivastava
EvalNorm: Estimating Batch Normalization Statistics for Evaluation. CoRR (2019)
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CVPR (2018)
Saurabh Singh, Madhavi Sinha
Pattern recognition based on specific weights. Int. J. Appl. Pattern Recognit. 5 (1) (2018)
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
Spatially adaptive image compression using a tiled deep network. CoRR (2018)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
Variational image compression with a scale hyperprior. CoRR (2018)
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
Image-Dependent Local Entropy Models for Learned Image Compression. CoRR (2018)
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
Image-Dependent Local Entropy Models for Learned Image Compression. ICIP (2018)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
Variational image compression with a scale hyperprior. ICLR (Poster) (2018)
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh
No Fuss Distance Metric Learning using Proxies. CoRR (2017)
Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. CoRR (2017)
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh
No Fuss Distance Metric Learning Using Proxies. ICCV (2017)
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks. CoRR (2017)
Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks. CoRR (2017)
Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era. ICCV (2017)
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
Spatially adaptive image compression using a tiled deep network. ICIP (2017)
Ankur Gupta, Saurabh Singh, Berk Gonenc, Marin Kobilarov, Iulian Iordachita
Toward sclera-force-based robotic assistance for safe micromanipulation in vitreoretinal surgery. IEEE SENSORS (2017)
Saurabh Singh, Madhavi Sinha
Forensic sketch recognition using user specific facial region. Int. J. Biom. 8 (2) (2016)
Vignesh Prasad, Saurabh Singh, Nahas Pareekutty, Balaraman Ravindran, K. Madhava Krishna
SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning. CoRR (2016)
Neha Singh, Saurabh Singh, Naveen Kumar, Rakesh Kumar
Key Management Techniques for Securing MANET. WIR (2016)
Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
What makes Paris look like Paris? Commun. ACM 58 (12) (2015)
Saurabh Singh, Winston Khoon Guan Seah, Bryan Ng
Cluster-centric medium access control for WSNs in structural health monitoring. WiOpt (2015)
Ranjeet Kumar Rout, Pabitra Pal Choudhury, Sarif Sk. Hassan, Saurabh Singh
Fractal and Mathematical Morphology in Intricate Comparison between Tertiary Protein Structures. CoRR (2013)
Saurabh Singh, Abhinav Gupta, Alexei A. Efros
Unsupervised Discovery of Mid-Level Discriminative Patches CoRR (2012)
Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes. ECCV (3) (2012)
Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
What makes Paris look like Paris? ACM Trans. Graph. 31 (4) (2012)
Saurabh Singh, Abhinav Gupta, Alexei A. Efros
Unsupervised Discovery of Mid-Level Discriminative Patches. ECCV (2) (2012)
K. V. Arya, Saurabh Singh
Generating Cancelable Fingerprint Using Drawing Code. SocProS (2) (2011)
Shreya Khare, Akshay Bhandari, Saurabh Singh, Anuja Arora
ECG Arrhythmia Classification Using Spearman Rank Correlation and Support Vector Machine. SocProS (2) (2011)
Rajesh K. Pandey, Vineet K. Singh, Saurabh Singh
Computation of Fourier Bessel Transform Using Hybrid Functions. IICAI (2011)
Vineet K. Singh, Rajesh K. Pandey, Saurabh Singh
A stable algorithm for Hankel transforms using hybrid of Block-pulse and Legendre polynomials. Comput. Phys. Commun. 181 (1) (2010)
Vandana Dixit Kaushik, Saurabh Singh, Hemant Tiwari, Sachin K. Goyal, Vinay K. Pathak, Phalguni Gupta
Automatic 3D Facial Feature Extraction Algorithm. NTMS (2008)
N. Vijayaraghavan, Balwant Singh, Saurabh Singh, Vishal Srivastava
Novel Architecture for On-Chip AC Characterization of I/Os. ITC (2006)
Saurabh Singh, K. Radhakrishna Rao
Low Voltage Analogue Multiplier. APCCAS (2006)
George Bebis, Aglika Gyaourova, Saurabh Singh, Ioannis T. Pavlidis
Face recognition by fusing thermal infrared and visible imagery. Image Vis. Comput. 24 (7) (2006)