Saurabh Singh

92 papers A* 11A 1B 6C 6Journal 49Unranked 19
YearRankTypeTitle / Venue / Authors
2026 J jnl
CuFuzz: Hardening CUDA Programs through Transformation and Fuzzing.
CoRR
Saurabh Singh, Ruobing Han, Jaewon Lee, Seonjin Na, Yonghae Kim, Taesoo Kim, Hyesoon Kim
2025 J jnl
A Novel Multi-Layer Attention Boosted YOLOv10 Network for Landslide Mapping Using Remote Sensing Data.
Trans. GIS
Naveen Chandra, Himadri Vaidya, Neelima Satyam, Xiaochuan Tang, Saurabh Singh, Sansar Raj Meena
2025 J jnl
Analytical computation for segmentation and classification of lumbar vertebral fractures.
Frontiers Comput. Neurosci.
Roseline Nyange, Hemachandran Kannan, Channabasava Chola, Saurabh Singh, Jaejeung Kim, Anil Audumbar Pise
2025 J jnl
Discrete dimensional coordinate scheme for distributed aggressive forwarding in mobile ad-hoc networks: An effective approach.
Comput. Networks
Saurabh Singh
2025 B conf
Discretized Approximate Ancestral Sampling.
ISIT
Alfredo De la Fuente, Saurabh Singh, Jona Ballé
2025 J jnl
Discretized Approximate Ancestral Sampling.
CoRR
Alfredo De la Fuente, Saurabh Singh, Jona Ballé
2025 J jnl
G-CSEA: A Graph-Based Conflict Set Extraction Algorithm for Identifying Infeasibility in Pseudo-Boolean Models.
CoRR
Kanishk Garg, D. Saranya, Sanal Kumar, Saurabh Singh, Anupam Purwar
2025 J jnl
Latent Stochastic Interpolants.
CoRR
Saurabh Singh, Dmitry Lagun
2025 A* conf
Let-Me-In: (Still) Employing In-pointer Bounds Metadata for Fine-grained GPU Memory Safety.
HPCA
Jaewon Lee, Euijun Chung, Saurabh Singh, Seonjin Na, Yonghae Kim, Jaekyu Lee, Hyesoon Kim
2025 J jnl
Machine learning and deep learning approaches for PM
Earth Sci. Informatics
Saurabh Singh, Gourav Suthar
2025 J jnl
Optimizing Reliability of Smart Healthcare Monitoring Systems via Network Coding in Wireless Body Area Networks.
Internet Technol. Lett.
Mahadev, Saurabh Singh, Abhishek Jain, Ashok Kumar, Jitendra Kumar Chaudhary
2024 J jnl
An intelligent human-centric systems to diagnose breast cancer using machine learning and optimized feature selection techniques.
Trans. Emerg. Telecommun. Technol.
Ashok Kumar, Saurabh Singh, Mahadev, Rahul Kumar
2024 J jnl
Fault-tolerant independent gradient forwarding routing for wireless sensor network.
Int. J. Commun. Syst.
Saurabh Singh, Sarvpal Singh, Jay Prakash
2024 C conf
Fourier Basis Density Model.
PCS
Alfredo De la Fuente, Saurabh Singh, Johannes Ballé
2024 J jnl
Fourier Basis Density Model.
CoRR
Alfredo De la Fuente, Saurabh Singh, Johannes Ballé
2024 J jnl
Fourier Head: Helping Large Language Models Learn Complex Probability Distributions.
CoRR
Nate Gillman, Daksh Aggarwal, Michael Freeman, Saurabh Singh, Chen Sun
2024 — conf
From Virtual Worlds to Real-World Impact: An Industrial Metaverse Survey.
FICC (1)
Michael Prummer, Emanuel Regnath, Saurabh Singh, Harald Kosch
2024 J jnl
Potential of Lightweight Drones and Object-Oriented Image Segmentation in Forest Plantation Assessment.
Remote. Sens.
Jitendra Dixit, Ashok Kumar Bhardwaj, Saurabh Kumar Gupta, Suraj Kumar Singh, Gowhar Meraj, Pankaj Kumar, Shruti Kanga, Saurabh Singh, Bhartendu Sajan
2024 J jnl
Stochastic Sampling from Deterministic Flow Models.
CoRR
Saurabh Singh, Ian Fischer
2024 C conf
Tokenizing Industrial Assets: Multi-File Binding using an Average Perceptual Hash.
IECON
Michael Prummer, Emanuel Regnath, Saurabh Singh, Harald Kosch
2023 J jnl
A long-term regional variability analysis of wintertime temperature and its deep learning aspects.
Earth Sci. Informatics
Saurabh Singh, R. Bhatla, Palash Sinha, Manas Pant
2023 — conf
Diabetic Retinopathy Detection Using Novel Loss Function in Deep Learning.
CVIP (1)
Saurabh Singh, B. Annappa, Shubham Dodia
2023 J jnl
Energy-Efficient Void Size Adaptable Graded Greedy Gradient Approach to Bypass Holes in Wireless Sensor Network.
Wirel. Pers. Commun.
Saurabh Singh, Sarvpal Singh, Jay Prakash
2023 J jnl
Estimation of population mean in presence of missing data under simple random sampling.
Commun. Stat. Simul. Comput.
Shashi Bhushan, Anoop Kumar, Abhay Pratap Pandey, Saurabh Singh
2023 A* conf
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification.
ICLR
Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
2023 A* conf
Weighted Ensemble Self-Supervised Learning.
ICLR
Yangjun Ruan, Saurabh Singh, Warren Richard Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
2023 J jnl
ssVERDICT: Self-Supervised VERDICT-MRI for Enhanced Prostate Tumour Characterisation.
CoRR
Snigdha Sen, Saurabh Singh, Hayley Pye, Caroline M. Moore, Hayley C. Whitaker, Shonit Punwani, David Atkinson, Eleftheria Panagiotaki, Paddy J. Slator
2022 C conf
ART-MAC: Approximate Rounding and Truncation based MAC Unit for Fault-Tolerant Applications.
ISCAS
Vishesh Mishra, Divy Pandey, Saurabh Singh, Sagar Satapathy, Kaustav Goswami, Babita Jajodia, Dip Sankar Banerjee
2022 C conf
AxLEAP: Enabling Low-Power Approximations Through Unified Power Format.
ISCAS
Sagar Satapathy, Saurabh Singh, Kaustav Goswami, Vishesh Mishra, Divy Pandey, Dip Sankar Banerjee
2022 — conf
EFCSA: An Efficient Carry Speculative Approximate Adder with Rectification.
ISQED
Saurabh Singh, Vishesh Mishra, Sagar Satapathy, Divy Pandey, Kaustav Goswami, Dip Sankar Banerjee, Babita Jajodia
2022 — conf
HPAM: An 8-bit High-Performance Approximate Multiplier Design for Error Resilient Applications.
ISQED
Divy Pandey, Vishesh Mishra, Saurabh Singh, Sagar Satapathy, Babita Jajodia, Dip Sankar Banerjee
2022 J jnl
LilNetX: Lightweight Networks with EXtreme Model Compression and Structured Sparsification.
CoRR
Sharath Girish, Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
2022 — conf
MEGA-MAC: A Merged Accumulation based Approximate MAC Unit for Error Resilient Applications.
ACM Great Lakes Symposium on VLSI
Vishesh Mishra, Sparsh Mittal, Saurabh Singh, Divy Pandey, Rekha Singhal
2022 J jnl
Machine learning driven intelligent and self adaptive system for traffic management in smart cities.
Computing
Hameed Khan, Kamal K. Kushwah, Muni Raj Maurya, Saurabh Singh, Prashant Jha, Sujeet K. Mahobia, Sanjay Soni, Subham Sahu, Kishor Kumar Sadasivuni
2022 J jnl
Weighted Ensemble Self-Supervised Learning.
CoRR
Yangjun Ruan, Saurabh Singh, Warren R. Morningstar, Alexander A. Alemi, Sergey Ioffe, Ian Fischer, Joshua V. Dillon
2021 C conf
3D Scene Compression through Entropy Penalized Neural Representation Functions.
PCS
Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou
2021 J jnl
3D Scene Compression through Entropy Penalized Neural Representation Functions.
CoRR
Thomas Bird, Johannes Ballé, Saurabh Singh, Philip A. Chou
2021 — conf
A High Gain, UWB Vivaldi Antenna Loaded With Unit Cells for Imaging /RFID Applications.
RFID-TA
Vibhor Binzlekar, Saurabh Singh, Smriti Agarwal
2021 — conf
Intelligent Traffic Signal Management using DRL for a Real-time Road Network in ITS.
IC3
Ananya Paul, Krishnendu Bera, Devtanu Misra, Sattwik Barua, Saurabh Singh, Nishu Nishant Kumar, Sulata Mitra
2021 J jnl
Nonlinear Transform Coding.
IEEE J. Sel. Top. Signal Process.
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
2021 C conf
SAM: A Segmentation Based Approximate Multiplier for Error Tolerant Applications.
ISCAS
Divy Pandey, Saurabh Singh, Vishesh Mishra, Sagar Satapathy, Dip Sankar Banerjee
2021 — conf
Synthetic Q-Space Learning With Deep Regression Networks For Prostate Cancer Characterisation With Verdict.
ISBI
Vanya V. Valindria, Marco Palombo, Eleni Chiou, Saurabh Singh, Shonit Punwani, Eleftheria Panagiotaki
2020 — conf
An Approximate Carry Estimating Simultaneous Adder with Rectification.
ACM Great Lakes Symposium on VLSI
Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, Dip Sankar Banerjee
2020 J jnl
An Approximate Carry Estimating Simultaneous Adder with Rectification.
CoRR
Rajat Bhattacharjya, Vishesh Mishra, Saurabh Singh, Kaustav Goswami, Dip Sankar Banerjee
2020 B conf
Channel-Wise Autoregressive Entropy Models for Learned Image Compression.
ICIP
David Minnen, Saurabh Singh
2020 J jnl
Channel-wise Autoregressive Entropy Models for Learned Image Compression.
CoRR
David Minnen, Saurabh Singh
2020 A* conf
Deep Implicit Volume Compression.
CVPR
Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin
2020 J jnl
Deep Implicit Volume Compression.
CoRR
Danhang Tang, Saurabh Singh, Philip A. Chou, Christian Häne, Mingsong Dou, Sean Ryan Fanello, Jonathan Taylor, Philip Davidson, Onur G. Guleryuz, Yinda Zhang, Shahram Izadi, Andrea Tagliasacchi, Sofien Bouaziz, Cem Keskin
2020 B conf
End-to-End Learning of Compressible Features.
ICIP
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
2020 J jnl
End-to-end Learning of Compressible Features.
CoRR
Saurabh Singh, Sami Abu-El-Haija, Nick Johnston, Johannes Ballé, Abhinav Shrivastava, George Toderici
2020 A* conf
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks.
CVPR
Saurabh Singh, Shankar Krishnan
2020 J jnl
Nonlinear Transform Coding.
CoRR
Johannes Ballé, Philip A. Chou, David Minnen, Saurabh Singh, Nick Johnston, Eirikur Agustsson, Sung Jin Hwang, George Toderici
2020 A* conf
PatchVAE: Learning Local Latent Codes for Recognition.
CVPR
Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
2020 J jnl
PatchVAE: Learning Local Latent Codes for Recognition.
CoRR
Kamal Gupta, Saurabh Singh, Abhinav Shrivastava
2020 A* conf
Scalable Model Compression by Entropy Penalized Reparameterization.
ICLR
Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava
2019 A* conf
EvalNorm: Estimating Batch Normalization Statistics for Evaluation.
ICCV
Saurabh Singh, Abhinav Shrivastava
2019 J jnl
EvalNorm: Estimating Batch Normalization Statistics for Evaluation.
CoRR
Saurabh Singh, Abhinav Shrivastava
2019 J jnl
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks.
CoRR
Saurabh Singh, Shankar Krishnan
2019 J jnl
Model Compression by Entropy Penalized Reparameterization.
CoRR
Deniz Oktay, Johannes Ballé, Saurabh Singh, Abhinav Shrivastava
2018 B conf
Image-Dependent Local Entropy Models for Learned Image Compression.
ICIP
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
2018 J jnl
Image-Dependent Local Entropy Models for Learned Image Compression.
CoRR
David Minnen, George Toderici, Saurabh Singh, Sung Jin Hwang, Michele Covell
2018 A* conf
Improved Lossy Image Compression With Priming and Spatially Adaptive Bit Rates for Recurrent Networks.
CVPR
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
2018 J jnl
Pattern recognition based on specific weights.
Int. J. Appl. Pattern Recognit.
Saurabh Singh, Madhavi Sinha
2018 J jnl
Spatially adaptive image compression using a tiled deep network.
CoRR
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
2018 — conf
Variational image compression with a scale hyperprior.
ICLR (Poster)
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
2018 J jnl
Variational image compression with a scale hyperprior.
CoRR
Johannes Ballé, David Minnen, Saurabh Singh, Sung Jin Hwang, Nick Johnston
2017 J jnl
Improved Lossy Image Compression with Priming and Spatially Adaptive Bit Rates for Recurrent Networks.
CoRR
Nick Johnston, Damien Vincent, David Minnen, Michele Covell, Saurabh Singh, Troy T. Chinen, Sung Jin Hwang, Joel Shor, George Toderici
2017 A* conf
No Fuss Distance Metric Learning Using Proxies.
ICCV
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh
2017 J jnl
No Fuss Distance Metric Learning using Proxies.
CoRR
Yair Movshovitz-Attias, Alexander Toshev, Thomas K. Leung, Sergey Ioffe, Saurabh Singh
2017 A* conf
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era.
ICCV
Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
2017 J jnl
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era.
CoRR
Chen Sun, Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
2017 B conf
Spatially adaptive image compression using a tiled deep network.
ICIP
David Minnen, George Toderici, Michele Covell, Troy T. Chinen, Nick Johnston, Joel Shor, Sung Jin Hwang, Damien Vincent, Saurabh Singh
2017 J jnl
Target-Quality Image Compression with Recurrent, Convolutional Neural Networks.
CoRR
Michele Covell, Nick Johnston, David Minnen, Sung Jin Hwang, Joel Shor, Saurabh Singh, Damien Vincent, George Toderici
2017 — conf
Toward sclera-force-based robotic assistance for safe micromanipulation in vitreoretinal surgery.
IEEE SENSORS
Ankur Gupta, Saurabh Singh, Berk Gonenc, Marin Kobilarov, Iulian Iordachita
2016 J jnl
Forensic sketch recognition using user specific facial region.
Int. J. Biom.
Saurabh Singh, Madhavi Sinha
2016 — conf
Key Management Techniques for Securing MANET.
WIR
Neha Singh, Saurabh Singh, Naveen Kumar, Rakesh Kumar
2016 J jnl
SLAM-Safe Planner: Preventing Monocular SLAM Failure using Reinforcement Learning.
CoRR
Vignesh Prasad, Saurabh Singh, Nahas Pareekutty, Balaraman Ravindran, K. Madhava Krishna
2015 B conf
Cluster-centric medium access control for WSNs in structural health monitoring.
WiOpt
Saurabh Singh, Winston Khoon Guan Seah, Bryan C. K. Ng
2015 J jnl
What makes Paris look like Paris?
Commun. ACM
Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
2013 J jnl
Fractal and Mathematical Morphology in Intricate Comparison between Tertiary Protein Structures.
CoRR
Ranjeet Kumar Rout, Pabitra Pal Choudhury, Sarif Sk. Hassan, Saurabh Singh
2012 — conf
Constrained Semi-Supervised Learning Using Attributes and Comparative Attributes.
ECCV (3)
Abhinav Shrivastava, Saurabh Singh, Abhinav Gupta
2012 J jnl
Unsupervised Discovery of Mid-Level Discriminative Patches
CoRR
Saurabh Singh, Abhinav Gupta, Alexei A. Efros
2012 — conf
Unsupervised Discovery of Mid-Level Discriminative Patches.
ECCV (2)
Saurabh Singh, Abhinav Gupta, Alexei A. Efros
2012 J jnl
What makes Paris look like Paris?
ACM Trans. Graph.
Carl Doersch, Saurabh Singh, Abhinav Gupta, Josef Sivic, Alexei A. Efros
2011 — conf
Computation of Fourier Bessel Transform Using Hybrid Functions.
IICAI
Rajesh K. Pandey, Vineet K. Singh, Saurabh Singh
2011 — conf
ECG Arrhythmia Classification Using Spearman Rank Correlation and Support Vector Machine.
SocProS (2)
Shreya Khare, Akshay Bhandari, Saurabh Singh, Anuja Arora
2011 — conf
Generating Cancelable Fingerprint Using Drawing Code.
SocProS (2)
K. V. Arya, Saurabh Singh
2010 J jnl
A stable algorithm for Hankel transforms using hybrid of Block-pulse and Legendre polynomials.
Comput. Phys. Commun.
Vineet K. Singh, Rajesh Kumar Pandey, Saurabh Singh
2008 — conf
Automatic 3D Facial Feature Extraction Algorithm.
NTMS
Vandana Dixit Kaushik, Saurabh Singh, Hemant Tiwari, Sachin K. Goyal, Vinay K. Pathak, Phalguni Gupta
2006 J jnl
Face recognition by fusing thermal infrared and visible imagery.
Image Vis. Comput.
George Bebis, Aglika Gyaourova, Saurabh Singh, Ioannis T. Pavlidis
2006 — conf
Low Voltage Analogue Multiplier.
APCCAS
Saurabh Singh, K. Radhakrishna Rao
2006 A conf
Novel Architecture for On-Chip AC Characterization of I/Os.
ITC
N. Vijayaraghavan, Balwant Singh, Saurabh Singh, Vishal Srivastava