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ORCIDShuvra S. Bhattacharyya
Shuvra Shikhar Bhattacharyya
Person information
- affiliation: University of Maryland, College Park, MD, USA
- affiliation: Tampere University of Technology, Finland
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2020 – today
- 2025
[j108]Jing Xie, Yuzhong Yan, Abhishek Saxena, Qiang Qiu, Jiangong Chen
, Hongyu Sun, Rong Chen, Shuvra S. Bhattacharyya:
ShaderNN: A lightweight and efficient inference engine for real-time applications on mobile GPUs. Neurocomputing 611: 128628 (2025)- [j107]Rijun Liao, Zhu Li, Shuvra S. Bhattacharyya, George York:
DensePoseGait: Dense Human Pose Part-Guided for Gait Recognition. IEEE Trans. Biom. Behav. Identity Sci. 7(1): 33-46 (2025) - 2024
- [j106]Jonathan Heagerty, Sida Li, Eric Lee, Shuvra S. Bhattacharyya, Sujal Bista, Barbara Brawn, Brandon Y. Feng, Susmija Jabbireddy, Joseph F. JáJá, Hernisa Kacorri, David Li, Derek Yarnell, Matthias Zwicker, Amitabh Varshney:
HoloCamera: Advanced Volumetric Capture for Cinematic-Quality VR Applications. IEEE Trans. Vis. Comput. Graph. 30(5): 2767-2775 (2024) - [c199]Joseph W. Faye, Naouel Haggui, Florent Kermarrec, Kevin J. M. Martin, Shuvra S. Bhattacharyya, Jean-François Nezan, Maxime Pelcat:
Scratchy: A Class of Adaptable Architectures with Software-Managed Communication for Edge Streaming Applications. DASIP 2024: 68-79 - [c198]Rijun Liao, Zhu Li, Shuvra S. Bhattacharyya, George York:
View DiffGait: View Pyramid Diffusion for Gait Recognition. FG 2024: 1-9 - [c197]Kshitij Nikhal, Yujunrong Ma, Shuvra S. Bhattacharyya, Benjamin S. Riggan:
HashReID: Dynamic Network with Binary Codes for Efficient Person Re-identification. WACV 2024: 6034-6043 - [i13]Hyungtae Lee, Yan Zhang, Yi-Ting Shen, Heesung Kwon, Shuvra S. Bhattacharyya:
Exploring the Impact of Synthetic Data for Aerial-view Human Detection. CoRR abs/2405.15203 (2024) - [i12]Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya:
Diversifying Human Pose in Synthetic Data for Aerial-view Human Detection. CoRR abs/2405.15939 (2024) - [i11]Jinsub Yim, Hyungtae Lee, Sungmin Eum, Yi-Ting Shen, Yan Zhang, Heesung Kwon, Shuvra S. Bhattacharyya:
SynPlay: Importing Real-world Diversity for a Synthetic Human Dataset. CoRR abs/2408.11814 (2024) - 2023
- [j105]Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo:
Archangel: A Hybrid UAV-Based Human Detection Benchmark With Position and Pose Metadata. IEEE Access 11: 80958-80972 (2023) - [j104]Jing Xie, Rong Chen, Shuvra S. Bhattacharyya:
A parameter-optimization framework for neural decoding systems. Frontiers Neuroinformatics 17 (2023) - [j103]Walther Carballo-Hernández, Maxime Pelcat, Shuvra S. Bhattacharyya, Ricardo Carmona-Galán, François Berry:
Flydeling: Streamlined Performance Models for Hardware Acceleration of CNNs through System Identification. ACM Trans. Model. Perform. Evaluation Comput. Syst. 8(3): 1-33 (2023) - [c196]Yujunrong Ma, Kshitij Nikhal, Jani Boutellier, Benjamin S. Riggan, Shuvra S. Bhattacharyya:
Dynamically Reconfigurable Perception using Dataflow Parameterization of Channel Attention. ACSSC 2023: 747-754 - [c195]Lei Pan, Yan Zhang, Yi Zhou, Heikki Huttunen, Shuvra S. Bhattacharyya:
Multi-Objective Design Optimization for Image Classification Using Elastic Neural Networks. CISS 2023: 1-6 - [c194]Raghunath Sai Puttagunta, Zhu Li, Shuvra S. Bhattacharyya, George York:
Appearance Label Balanced Triplet Loss for Multi-modal Aerial View Object Classification. CVPR Workshops 2023: 534-542 - [c193]Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra S. Bhattacharyya:
Progressive Transformation Learning for Leveraging Virtual Images in Training. CVPR 2023: 835-844 - [c192]Xiaowen Qi, Jing Geng, Mohamed Kashef, Shuvra S. Bhattacharyya, Richard Candell:
Energy-Efficient Access Point Deployment for Industrial IoT Systems. IFIPIoT (1) 2023: 182-195 - [c191]Yujunrong Ma, Xiaowen Qi, Kiminori Nakamura, Shuvra S. Bhattacharyya:
Towards Interpretable, Attention-Based Crime Forecasting. SMC 2023: 2366-2372 - [i10]Kshitij Nikhal, Yujunrong Ma, Shuvra S. Bhattacharyya, Benjamin S. Riggan:
HashReID: Dynamic Network with Binary Codes for Efficient Person Re-identification. CoRR abs/2308.11900 (2023) - 2022
- [j102]Rijun Liao, Zhu Li, Shuvra S. Bhattacharyya, George York:
PoseMapGait: A model-based gait recognition method with pose estimation maps and graph convolutional networks. Neurocomputing 501: 514-528 (2022) - [j101]Jani Boutellier, Yujunrong Ma, Jiahao Wu, Mir Khan, Shuvra S. Bhattacharyya:
VR-PRUNE: Decidable Variable-Rate Dataflow for Signal Processing Systems. IEEE Trans. Signal Process. 70: 1819-1833 (2022) - [j100]Xiaomin Wu, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya:
Learning Compact DNN Models for Behavior Prediction from Neural Activity of Calcium Imaging. J. Signal Process. Syst. 94(5): 455-472 (2022) - [c190]Eung-Joo Lee, Alexander Mattingly, Heesung Kwon, Benjamin S. Riggan, Shuvra S. Bhattacharyya:
Real-time Face Tracking Based on a Configurable Ensemble of Detectors. IEEECONF 2022: 339-343 - [c189]Yaesop Lee, Hyungtae Lee, Eung-Joo Lee, Heesung Kwon, Shuvra S. Bhattacharyya:
Exploiting Simplified Depth Estimation for Stereo-based 2D Object Detection. AIPR 2022: 1-6 - [c188]Yujunrong Ma, Kiminori Nakamura, Eung-Joo Lee, Shuvra S. Bhattacharyya:
EADTC: An Approach to Interpretable and Accurate Crime Prediction. SMC 2022: 170-177 - [i9]Eung-Joo Lee, Damon M. Conover, Shuvra S. Bhattacharyya, Heesung Kwon, Jason Hill, Kenneth Evensen:
Validation of object detection in UAV-based images using synthetic data. CoRR abs/2201.06629 (2022) - [i8]Yi-Ting Shen, Yaesop Lee, Heesung Kwon, Damon M. Conover, Shuvra S. Bhattacharyya, Nikolas Vale, Joshua D. Gray, G. Jeremy Leong, Kenneth Evensen, Frank Skirlo:
Archangel: A Hybrid UAV-based Human Detection Benchmark with Position and Pose Metadata. CoRR abs/2209.00128 (2022) - [i7]Yi-Ting Shen, Hyungtae Lee, Heesung Kwon, Shuvra Shikhar Bhattacharyya:
Progressive Transformation Learning For Leveraging Virtual Images in Training. CoRR abs/2211.01778 (2022) - 2021
- [j99]Kyunghun Lee, Xiaomin Wu, Yaesop Lee, Da-Ting Lin, Shuvra S. Bhattacharyya, Rong Chen:
Neural decoding on imbalanced calcium imaging data with a network of support vector machines. Adv. Robotics 35(7): 459-470 (2021) - [j98]Rijun Liao, Weizhi An, Zhu Li, Shuvra S. Bhattacharyya:
A novel view synthesis approach based on view space covering for gait recognition. Neurocomputing 453: 13-25 (2021) - [j97]Eung-Joo Lee, William Plishker, Nobuhiko Hata, Paul B. Shyn, Stuart G. Silverman, Shuvra S. Bhattacharyya, Raj Shekhar:
Rapid Quality Assessment of Nonrigid Image Registration Based on Supervised Learning. J. Digit. Imaging 34(6): 1376-1386 (2021) - [j96]Jiahao Wu, Jing Xie, Alexandre Bardakoff, Timothy Blattner, Walid Keyrouz, Shuvra S. Bhattacharyya:
CGMBE: a model-based tool for the design and implementation of real-time image processing applications on CPU-GPU platforms. J. Real Time Image Process. 18(3): 561-583 (2021) - [j95]Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya:
Hyperspectral Image Classification With Attention-Aided CNNs. IEEE Trans. Geosci. Remote. Sens. 59(3): 2281-2293 (2021) - [j94]Claudio Rubattu, Francesca Palumbo, Shuvra S. Bhattacharyya, Maxime Pelcat:
PathTracer: Understanding Response Time of Signal Processing Applications on Heterogeneous MPSoCs. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6(4): 15:1-15:30 (2021) - [c187]Claudio Rubattu, Francesca Palumbo, Shuvra S. Bhattacharyya, Maxime Pelcat:
PathTracing: Raising the Level of Understanding of Processing Latency in Heterogeneous MPSoCs. DroneSE/RAPIDO@HiPEAC 2021: 46-50 - [c186]Hai Nam Tran, Alexandre Honorat, Shuvra S. Bhattacharyya, Jean-Pierre Talpin, Thierry Gautier, Loïc Besnard:
A Framework for Fixed Priority Periodic Scheduling Synthesis from Synchronous Data-Flow Graphs. SAMOS 2021: 259-271 - [c185]Rijun Liao, Zhu Li, Shuvra S. Bhattacharyya, George York:
Aerial Image Classification with Label Splitting and Optimized Triplet Loss Learning. VCIP 2021: 1-5 - [c184]Gerald Xie, Zhu Li, Shuvra S. Bhattacharyya, Asif Mehmood:
Plug-and-Play Deblurring for Robust Object Detection. VCIP 2021: 1-5 - [c183]Jing Geng, Mohamed Kashef, Richard Candell, Yongkang Liu, Karl Montgomery, Shuvra S. Bhattacharyya:
Feature Extraction and Classification for Communication Channels in Wireless Mechatronic Systems. WFCS 2021: 107-110 - [c182]Eung-Joo Lee, Yi-Ting Shen, Lei Pan, Zhu Li, Shuvra S. Bhattacharyya:
DCT-based Hyperspectral Image Classification on Resource-Constrained Platforms. WHISPERS 2021: 1-5 - 2020
- [j93]Shuvra S. Bhattacharyya, Marilyn Claire Wolf:
Research Challenges for Heterogeneous Cyberphysical System Design. Computer 53(7): 71-75 (2020) - [j92]Yaesop Lee, Jing Xie, Eung-Joo Lee, Srijesh Sudarsanan, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya:
Real-Time Neuron Detection and Neural Signal Extraction Platform for Miniature Calcium Imaging. Frontiers Comput. Neurosci. 14: 43 (2020) - [j91]Xiaomin Wu, Shuvra S. Bhattacharyya, Rong Chen:
WGEVIA: A Graph Level Embedding Method for Microcircuit Data. Frontiers Comput. Neurosci. 14: 603765 (2020) - [j90]Adrian E. Sapio, Shuvra S. Bhattacharyya, Marilyn Wolf:
Runtime Adaptation in Wireless Sensor Nodes Using Structured Learning. ACM Trans. Cyber Phys. Syst. 4(4): 40:1-40:28 (2020) - [j89]Yaesop Lee, Yanzhou Liu, Karol Desnos, Lee Barford, Shuvra S. Bhattacharyya:
Passive-Active Flowgraphs for Efficient Modeling and Design of Signal Processing Systems. J. Signal Process. Syst. 92(10): 1133-1151 (2020) - [c181]Lei Pan, François Christophe, Tommi Mikkonen, Zhu Li, Shuvra S. Bhattacharyya:
Simulating Spiking Neural Networks with Timed Dataflow Graphs. AICAS 2020: 64-68 - [c180]Raghunath Sai Puttagunta, Renlong Hang, Zhu Li, Shuvra S. Bhattacharyya, George York:
Spectral Super Resolution with DCT Decomposition and Deep Residual Learning. DDDAS 2020: 171-178 - [c179]Lei Pan, Rijun Liao, Zhu Li, Shuvra S. Bhattacharyya:
Dynamic, Data-Driven Hyperspectral Image Classification on Resource-Constrained Platforms. DDDAS 2020: 320-327 - [c178]Yujunrong Ma, Jiahao Wu, Shuvra S. Bhattacharyya, Jani Boutellier:
Decidable Variable-Rate Dataflow for Heterogeneous Signal Processing Systems. ICASSP 2020: 1683-1687 - [c177]Renlong Hang, Zhu Li, Qingshan Liu, Shuvra S. Bhattacharyya:
Prinet: A Prior Driven Spectral Super-Resolution Network. ICME 2020: 1-6 - [c176]Adrian E. Sapio, Shuvra S. Bhattacharyya, Marilyn Wolf:
Efficient Model Solving for Markov Decision Processes. ISCC 2020: 1-5 - [c175]Alexandre Honorat, Karol Desnos, Shuvra S. Bhattacharyya, Jean-François Nezan:
Scheduling of Synchronous Dataflow Graphs with Partially Periodic Real-Time Constraints. RTNS 2020: 22-33 - [c174]Jing Geng, Honglei Li, Mohamed Kashef, Yongkang Liu, Richard Candell, Shuvra S. Bhattacharyya:
Integrating Field Measurements into a Model-Based Simulator for Industrial Communication Networks. WFCS 2020: 1-8 - [i6]Shuvra S. Bhattacharyya, Marilyn Claire Wolf:
Research Challenges for Heterogeneous CPS Design. CoRR abs/2005.07841 (2020) - [i5]Renlong Hang, Zhu Li, Qingshan Liu, Pedram Ghamisi, Shuvra S. Bhattacharyya:
Hyperspectral Image Classification with Attention Aided CNNs. CoRR abs/2005.11977 (2020) - [i4]Adrian E. Sapio, Shuvra S. Bhattacharyya, Marilyn Wolf:
Runtime Adaptation in Wireless Sensor Nodes Using Structured Learning. CoRR abs/2006.08666 (2020)
2010 – 2019
- 2019
- [j88]Yanzhou Liu, Lee Barford, Shuvra S. Bhattacharyya:
Optimized implementation of digital signal processing applications with gapless data acquisition. EURASIP J. Adv. Signal Process. 2019: 19 (2019) - [j87]Lin Li, Peter Deaville, Adrian E. Sapio, Lauri Anttila, Mikko Valkama, Marilyn Wolf, Shuvra S. Bhattacharyya:
MADS: A Framework for Design and Implementation of Adaptive Digital Predistortion Systems. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(4): 712-722 (2019) - [j86]Lin Li, Carlo Sau, Tiziana Fanni, Jingui Li, Timo Viitanen, François Christophe, Francesca Palumbo, Luigi Raffo, Heikki Huttunen, Jarmo Takala, Shuvra S. Bhattacharyya:
An integrated hardware/software design methodology for signal processing systems. J. Syst. Archit. 93: 1-19 (2019) - [j85]Dewan Fahim Noor, Yue Li, Zhu Li, Shuvra S. Bhattacharyya, George York:
Multi-Scale Gradient Image Super-Resolution for Preserving SIFT Key Points in Low-Resolution Images. Signal Process. Image Commun. 78: 236-245 (2019) - [j84]Jiahao Wu, Timothy Blattner, Walid Keyrouz, Shuvra S. Bhattacharyya:
Model-Based Dynamic Scheduling for Multicore Signal Processing. J. Signal Process. Syst. 91(9): 981-994 (2019) - [c173]Lin Li, Peter Deaville, Adrian E. Sapio, Lauri Anttila, Mikko Valkama, Marilyn Wolf, Shuvra S. Bhattacharyya:
A Framework for Design and Implementation of Adaptive Digital Predistortion Systems. AICAS 2019: 112-116 - [c172]Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya, Heikki Huttunen:
Elastic Neural Networks for Classification. AICAS 2019: 251-255 - [c171]Kyunghun Lee, Yaesop Lee, Da-Ting Lin, Shuvra S. Bhattacharyya, Rong Chen:
Real-Time Calcium Imaging Based Neural Decoding with a Support Vector Machine. BioCAS 2019: 1-4 - [c170]Li Li, Zhu Li, Yue Li, Birendra Kathariya, Shuvra S. Bhattacharyya:
Incremental Deep Neural Network Pruning Based on Hessian Approximation. DCC 2019: 590 - [c169]Dewan Fahim Noor, Yue Li, Zhu Li, Shuvra S. Bhattacharyya, George York:
Gradient Image Super-resolution for Low-resolution Image Recognition. ICASSP 2019: 2332-2336 - [c168]Dewan Fahim Noor, Li Li, Zhu Li, Shuvra S. Bhattacharyya:
Multi-Frame Super Resolution with Deep Residual Learning on Flow Registered Non-Integer Pixel Images. ICIP 2019: 2164-2168 - [c167]Eung-Joo Lee, William Plishker, Xinyang Liu, Timothy D. Kane, Shuvra S. Bhattacharyya, Raj Shekhar:
Segmentation of surgical instruments in laparoscopic videos: training dataset generation and deep-learning-based framework. Image-Guided Procedures 2019: 109511T - [c166]Adrian E. Sapio, Rocky L. Tatiefo, Shuvra S. Bhattacharyya, Marilyn Wolf:
GEMBench: A Platform for Collaborative Development of GPU Accelerated Embedded Markov Decision Systems. SAMOS 2019: 294-308 - [c165]Raghunath Sai Puttagunta, Renlong Hang, Zhu Li, Shuvra S. Bhattacharyya:
Low Resolution Recognition of Aerial Images. VCIP 2019: 1-4 - [c164]Honglei Li, Jing Geng, Yongkang Liu, Mohamed Kashef, Richard Candell, Shuvra S. Bhattacharyya:
Design Space Exploration for Wireless-Integrated Factory Automation Systems. WFCS 2019: 1-8 - [c163]Honglei Li, Lei Pan, Eung-Joo Lee, Zhu Li, Matthew J. Hoffman, Anthony Vodacek, Shuvra S. Bhattacharyya:
Hyperspectral Video Processing on Resource-Constrained Platforms. WHISPERS 2019: 1-5 - 2018
- [j83]Maxime Pelcat, Alexandre Mercat, Karol Desnos, Luca Maggiani, Yanzhou Liu, Julien Heulot, Jean-François Nezan, Wassim Hamidouche, Daniel Ménard, Shuvra S. Bhattacharyya:
Reproducible Evaluation of System Efficiency With a Model of Architecture: From Theory to Practice. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(10): 2050-2063 (2018) - [j82]Shuoxin Lin, Jiahao Wu, Shuvra S. Bhattacharyya:
Memory-Constrained Vectorization and Scheduling of Dataflow Graphs for Hybrid CPU-GPU Platforms. ACM Trans. Embed. Comput. Syst. 17(2): 50:1-50:25 (2018) - [j81]Jani Boutellier, Jiahao Wu, Heikki Huttunen, Shuvra S. Bhattacharyya:
PRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms. IEEE Trans. Signal Process. 66(3): 654-665 (2018) - [j80]Adrian E. Sapio, Lin Li, Jiahao Wu, Marilyn Wolf, Shuvra S. Bhattacharyya:
Reconfigurable Digital Channelizer Design Using Factored Markov Decision Processes. J. Signal Process. Syst. 90(10): 1329-1343 (2018) - [c162]Shuvra S. Bhattacharyya, Johan Lilius:
Model-Based Representations for Dataflow Schedules. Principles of Modeling 2018: 88-105 - [c161]Adrian E. Sapio, Shuvra S. Bhattacharyya, Marilyn Wolf:
Efficient Solving of Markov Decision Processes on GPUs Using Parallelized Sparse Matrices. DASIP 2018: 13-18 - [c160]Jiahao Wu, Timothy Blattner, Walid Keyrouz, Shuvra S. Bhattacharyya:
A design tool for high performance image processing on multicore platforms. DATE 2018: 1304-1309 - [c159]Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen, Heikki Huttunen:
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision. EUSIPCO 2018: 1472-1476 - [c158]Kyunghun Lee, Benjamin S. Riggan, Shuvra S. Bhattacharyya:
A Joint Target Localization and Classification Framework for Sensor Networks. ICASSP 2018: 3076-3080 - [c157]Hai Nam Tran, Shuvra S. Bhattacharyya, Jean-Pierre Talpin, Thierry Gautier:
Toward Efficient Many-core Scheduling of Partial Expansion Graphs. SCOPES 2018: 100-103 - [c156]Yanzhou Liu, Lee Barford, Shuvra S. Bhattacharyya:
Generalized Graph Connections for Dataflow Modeling of DSP Applications. SiPS 2018: 275-280 - [c155]Jing Geng, Honglei Li, Yanzhou Liu, Yongkang Liu, Mohamed Kashef, Richard Candell, Shuvra S. Bhattacharyya:
Model-based cosimulation for industrial wireless networks. WFCS 2018: 1-10 - [p7]Honglei Li, Yanzhou Liu, Kishan Sudusinghe, Jinsung Yoon, Erik Blasch, Mihaela van der Schaar, Shuvra S. Bhattacharyya:
Design of a Dynamic Data-Driven System for Multispectral Video Processing. Handbook of Dynamic Data Driven Applications Systems 2018: 529-545 - [p6]Erik Blasch, Alex Aved, Shuvra S. Bhattacharyya:
Dynamic Data Driven Application Systems (DDDAS) for Multimedia Content Analysis. Handbook of Dynamic Data Driven Applications Systems 2018: 631-651 - [i3]Jani Boutellier, Jiahao Wu, Heikki Huttunen, Shuvra S. Bhattacharyya:
PRUNE: Dynamic and Decidable Dataflow for Signal Processing on Heterogeneous Platforms. CoRR abs/1802.06625 (2018) - [i2]Yue Bai, Shuvra S. Bhattacharyya, Antti P. Happonen, Heikki Huttunen:
Elastic Neural Networks: A Scalable Framework for Embedded Computer Vision. CoRR abs/1807.00453 (2018) - [i1]Yi Zhou, Yue Bai, Shuvra S. Bhattacharyya, Heikki Huttunen:
Elastic Neural Networks for Classification. CoRR abs/1810.00589 (2018) - 2017
- [j79]Lin Li, Amanullah Ghazi, Jani Boutellier, Lauri Anttila, Mikko Valkama, Shuvra S. Bhattacharyya:
Evolutionary Multiobjective Optimization for Adaptive Dataflow-based Digital Predistortion Architectures. EAI Endorsed Trans. Cogn. Commun. 3(10): e3 (2017) - [j78]Tiziana Fanni, Lin Li, Timo Viitanen, Carlo Sau, Renjie Xie, Francesca Palumbo, Luigi Raffo, Heikki Huttunen, Jarmo Takala, Shuvra S. Bhattacharyya:
Hardware design methodology using lightweight dataflow and its integration with low power techniques. J. Syst. Archit. 78: 15-29 (2017) - [j77]Lee Barford, Shuvra S. Bhattacharyya, Yanzhou Liu:
Data Flow Algorithms for Processors with Vector Extensions - Handling Actors With Internal State. J. Signal Process. Syst. 87(1): 21-31 (2017) - [j76]George F. Zaki, William Plishker, Shuvra S. Bhattacharyya, Frank Fruth:
Implementation, Scheduling, and Adaptation of Partial Expansion Graphs on Multicore Platforms. J. Signal Process. Syst. 87(1): 107-125 (2017) - [j75]Scott C. Kim, Shuvra S. Bhattacharyya:
Implementation of a Multirate Resampler for Multi-carrier Systems on GPUs. J. Signal Process. Syst. 89(3): 445-455 (2017) - [j74]Timothy Blattner, Walid Keyrouz, Shuvra S. Bhattacharyya, Milton Halem, Mary Brady:
A Hybrid Task Graph Scheduler for High Performance Image Processing Workflows. J. Signal Process. Syst. 89(3): 457-467 (2017) - [c154]Lin Li, Adrian E. Sapio, Jiahao Wu, Yanzhou Liu, Kyunghun Lee, Marilyn Wolf, Shuvra S. Bhattacharyya:
Design and implementation of adaptive signal processing systems using Markov decision processes. ASAP 2017: 170-175 - [c153]Yaesop Lee, Sreenuj Chellath Madayambath, Yanzhou Liu, Da-Ting Lin, Rong Chen, Shuvra S. Bhattacharyya:
Online learning in neural decoding using incremental linear discriminant analysis. CBS 2017: 173-177 - [c152]Kyunghun Lee, Benjamin S. Riggan, Shuvra S. Bhattacharyya:
An optimized embedded target detection system using acoustic and seismic sensors. EUSIPCO 2017: 986-990 - [c151]Kyunghun Lee, Benjamin S. Riggan, Shuvra S. Bhattacharyya:
An accumulative fusion architecture for discriminating people and vehicles using acoustic and seismic signals. ICASSP 2017: 2976-2980 - [c150]Jingui Li, Timo Viitanen, Lin Li, Jarmo Takala, Shuvra S. Bhattacharyya:
Design and implementation of a multi-mode harris corner detector architecture. NORCAS 2017: 1-6 - [c149]Jani Boutellier, Shuvra S. Bhattacharyya:
Low-power heterogeneous computing via adaptive execution of dataflow actors. SiPS 2017: 1-6 - [c148]Jiahao Wu, Timothy Blattner, Walid Keyrouz, Shuvra S. Bhattacharyya:
Model-based dynamic scheduling for multicore implementation of image processing systems. SiPS 2017: 1-6 - [p5]Soonhoi Ha, Jürgen Teich, Christian Haubelt, Michael Glaß, Tulika Mitra, Rainer Dömer, Petru Eles, Aviral Shrivastava, Andreas Gerstlauer, Shuvra S. Bhattacharyya:
Introduction to Hardware/Software Codesign. Handbook of Hardware/Software Codesign 2017: 3-26 - [p4]Shuoxin Lin, Yanzhou Liu, Kyunghun Lee, Lin Li, William Plishker, Shuvra S. Bhattacharyya:
The DSPCAD Framework for Modeling and Synthesis of Signal Processing Systems. Handbook of Hardware/Software Codesign 2017: 1185-1219 - 2016
- [j73]Haifa Ben Salem, Thyagaraju Damarla, Kishan Sudusinghe, Walter Stechele, Shuvra S. Bhattacharyya:
Adaptive tracking of people and vehicles using mobile platforms. EURASIP J. Adv. Signal Process. 2016: 65 (2016) - [j72]Scott C. Kim, Shuvra S. Bhattacharyya:
A Wideband Front-End Receiver Implementation on GPUs. IEEE Trans. Signal Process. 64(10): 2602-2612 (2016) - [j71]Zheng Zhou, William Plishker, Shuvra S. Bhattacharyya, Karol Desnos, Maxime Pelcat, Jean-François Nezan:
Scheduling of Parallelized Synchronous Dataflow Actors for Multicore Signal Processing. J. Signal Process. Syst. 83(3): 309-328 (2016) - [j70]Ilya Chukhman, Yang Jiao, Haifa Ben Salem, Shuvra S. Bhattacharyya:
Instrumentation-Driven Validation of Dataflow Applications. J. Signal Process. Syst. 84(3): 383-397 (2016) - [c147]Lin Li, Amanullah Ghazi, Jani Boutellier, Lauri Anttila, Mikko Valkama, Shuvra S. Bhattacharyya:
Design space exploration and constrained multiobjective optimization for digital predistortion systems. ASAP 2016: 182-185 - [c146]Kyunghun Lee, Haifa Ben Salem, Thyagaraju Damarla, Walter Stechele, Shuvra S. Bhattacharyya:
Prototyping real