Bharath Srinivas Prabakaran

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Semantic Segmentation

Top Venues

Publications

Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique
UnbiasedNets: a dataset diversification framework for robustness bias alleviation in neural networks. Mach. Learn. 113 (5) (2024)
Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
Image Label based Semantic Segmentation Framework using Object Perimeters. CoRR (2023)
Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters. IJCNN (2023)
Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
autoXFPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. CoRR (2023)
Mahum Naseer, Bharath Srinivas Prabakaran, Osman Hasan, Muhammad Shafique
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks. CoRR (2023)
Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique
FPUS23: An Ultrasound Fetus Phantom Dataset With Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. IEEE Access 11 (2023)
Erik Ostrowski, Bharath Srinivas Prabakaran, Muhammad Shafique
Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems. CoRR (2023)
Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique
ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images. ISVC (1) (2023)
Bharath Srinivas Prabakaran, Erik Ostrowski, Muhammad Shafique
BoundaryCAM: A Boundary-based Refinement Framework for Weakly Supervised Semantic Segmentation of Medical Images. CoRR (2023)
Bharath Srinivas Prabakaran, Paul Hamelmann, Erik Ostrowski, Muhammad Shafique
FPUS23: An Ultrasound Fetus Phantom Dataset with Deep Neural Network Evaluations for Fetus Orientations, Fetal Planes, and Anatomical Features. CoRR (2023)
Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
Xel-FPGAs: An End-to-End Automated Exploration Framework for Approximate Accelerators in FPGA-Based Systems. ICCAD (2023)
Bharath Srinivas Prabakaran, Felix Fasching, Juri Schreib, Andreas Steininger, Muhammad Shafique
ATLAS: An IoT Architecture and Secure Open-source Networking Stack for Anonymous Localization and Tracking Using Smartphones and Bluetooth Beacons. CoRR (2022)
Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique
BioNetExplorer: Architecture-Space Exploration of Biosignal Processing Deep Neural Networks for Wearables. IEEE Internet Things J. 8 (17) (2021)
Bharath Srinivas Prabakaran, Asima Akhtar, Semeen Rehman, Osman Hasan, Muhammad Shafique
BioNetExplorer: Architecture-Space Exploration of Bio-Signal Processing Deep Neural Networks for Wearables. CoRR (2021)
Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. DAC (2020)
Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique
EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. DAC (2020)
Bharath Srinivas Prabakaran, Vojtech Mrazek, Zdenek Vasícek, Lukás Sekanina, Muhammad Shafique
ApproxFPGAs: Embracing ASIC-Based Approximate Arithmetic Components for FPGA-Based Systems. CoRR (2020)
Bharath Srinivas Prabakaran, Alberto García Jiménez, Germán Moltó Martínez, Muhammad Shafique
EMAP: A Cloud-Edge Hybrid Framework for EEG Monitoring and Cross-Correlation Based Real-time Anomaly Prediction. CoRR (2020)
Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Shafique
XBioSiP: A Methodology for Approximate Bio-Signal Processing at the Edge. DAC (2019)
Bharath Srinivas Prabakaran, Mihika Dave, Florian Kriebel, Semeen Rehman, Muhammad Shafique
Architectural-Space Exploration of Heterogeneous Reliability and Checkpointing Modes for Out-of-Order Superscalar Processors. IEEE Access 7 (2019)
Bharath Srinivas Prabakaran, Semeen Rehman, Muhammad Abdullah Hanif, Salim Ullah, Ghazal Mazaheri, Akash Kumar, Muhammad Shafique
DeMAS: An efficient design methodology for building approximate adders for FPGA-based systems. DATE (2018)
Salim Ullah, Semeen Rehman, Bharath Srinivas Prabakaran, Florian Kriebel, Muhammad Abdullah Hanif, Muhammad Shafique, Akash Kumar
Area-optimized low-latency approximate multipliers for FPGA-based hardware accelerators. DAC (2018)
Semeen Rehman, Florian Kriebel, Bharath Srinivas Prabakaran, Faiq Khalid, Muhammad Shafique
Hardware and Software Techniques for Heterogeneous Fault-Tolerance. IOLTS (2018)
Bharath Srinivas Prabakaran, Mihika Dave, Semeen Rehman, Florian Kriebel, Muhammad Shafique
Heterogeneous Reliability Modes with Efficient State Compression for Out-of-Order Superscalar Processors. CoRR (2018)
Walaa El-Harouni, Semeen Rehman, Bharath Srinivas Prabakaran, Akash Kumar, Rehan Hafiz, Muhammad Shafique
Embracing approximate computing for energy-efficient motion estimation in high efficiency video coding. DATE (2017)