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2020 – today
- 2024
[j26]Vinit Katariya
, Fatema-E. Jannat, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Hamed Tabkhi:
VegaEdge: Edge AI confluence for real-time IoT-applications in highway safety. Internet Things 27: 101268 (2024)- [j25]Vinit Katariya, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi:
A POV-Based Highway Vehicle Trajectory Dataset and Prediction Architecture. IEEE Trans. Intell. Transp. Syst. 25(10): 13136-13146 (2024) - [j24]Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A. Purkayastha, Jagannadh Vempati, Martin Otto, Hamed Tabkhi:
A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems. IEEE Trans. Knowl. Data Eng. 36(1): 1-20 (2024) - [c50]Shanle Yao, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi:
Evaluating the Effectiveness of Video Anomaly Detection in the Wild Online Learning and Inference for Real-world Deployment. CVPR Workshops 2024: 4832-4841 - [c49]Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Hamed Tabkhi:
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer. CVPR Workshops 2024: 5651-5662 - [c48]Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani, Hamed Tabkhi:
Real-Time Bus Arrival Prediction: A Deep Learning Approach for Enhanced Urban Mobility. ICORES 2024: 123-132 - [c47]Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili, Hamed Tabkhi, Cathy Wu:
Expert with Clustering: Hierarchical Online Preference Learning Framework. L4DC 2024: 707-718 - [c46]Armin Danesh Pazho, Gabriel Maldonado, Hamed Tabkhi:
GAT-POSE: Graph Autoencoder-Transformer Fusion for Future Pose Prediction. ROBOVIS 2024: 164-178 - [c45]Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi:
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction. WACV (Workshops) 2024: 995-1004 - [i40]Fatema-E. Jannat, Sina Gholami, Minhaj Nur Alam, Hamed Tabkhi:
OCT-SelfNet: A Self-Supervised Framework with Multi-Modal Datasets for Generalized and Robust Retinal Disease Detection. CoRR abs/2401.12344 (2024) - [i39]Tianyue Zhou, Jung-Hoon Cho, Babak Rahimi Ardabili, Hamed Tabkhi, Cathy Wu:
Expert with Clustering: Hierarchical Online Preference Learning Framework. CoRR abs/2401.15062 (2024) - [i38]Sanaz Sadat Hosseini, Babak Rahimi Ardabili, Mona Azarbayjani, Srinivas Pulugurtha, Hamed Tabkhi:
Understanding the Transit Gap: A Comparative Study of On-Demand Bus Services and Urban Climate Resilience in South End, Charlotte, NC and Avondale, Chattanooga, TN. CoRR abs/2403.14671 (2024) - [i37]Narges Rashvand, Kenneth Witham, Gabriel Maldonado, Vinit Katariya, Nishanth Marer Prabhu, Gunar Schirner, Hamed Tabkhi:
Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers. CoRR abs/2403.15417 (2024) - [i36]Shanle Yao, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi:
Evaluating the Effectiveness of Video Anomaly Detection in the Wild: Online Learning and Inference for Real-world Deployment. CoRR abs/2404.18747 (2024) - [i35]Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi:
An Exploratory Study on Human-Centric Video Anomaly Detection through Variational Autoencoders and Trajectory Prediction. CoRR abs/2406.15395 (2024) - [i34]Ghazal Alinezhad Noghre, Shanle Yao, Armin Danesh Pazho, Babak Rahimi Ardabili, Vinit Katariya, Hamed Tabkhi:
PHEVA: A Privacy-preserving Human-centric Video Anomaly Detection Dataset. CoRR abs/2408.14329 (2024) - [i33]Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi:
PoseWatch: A Transformer-based Architecture for Human-centric Video Anomaly Detection Using Spatio-temporal Pose Tokenization. CoRR abs/2408.15185 (2024) - [i32]Fatema-E. Jannat, Sina Gholami, Jennifer I. Lim, Theodore Leng, Minhaj Nur Alam, Hamed Tabkhi:
Multi-OCT-SelfNet: Integrating Self-Supervised Learning with Multi-Source Data Fusion for Enhanced Multi-Class Retinal Disease Classification. CoRR abs/2409.11375 (2024) - 2023
- [j23]Armin Danesh Pazho, Christopher Neff, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Shanle Yao, Mohammadreza Baharani, Hamed Tabkhi:
Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things. IEEE Internet Things J. 10(17): 14940-14951 (2023) - [j22]Christopher Neff, Armin Danesh Pazho, Hamed Tabkhi:
Real-time online unsupervised domain adaptation for real-world person re-identification. J. Real Time Image Process. 20(6): 107 (2023) - [c44]Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi:
Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems. ICCPS 2023: 88-97 - [c43]Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi:
Demonstration of Pishgu: Universal Path Prediction Network Architecture for Real-time Cyber-physical Edge Systems. ICCPS 2023: 247-248 - [c42]Ghazal Alinezhad Noghre, Armin Danesh Pazho, Vinit Katariya, Hamed Tabkhi:
Understanding the Challenges and Opportunities of Pose-based Anomaly Detection. iWOAR 2023: 7:1-7:9 - [c41]Armin Danesh Pazho, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Christopher Neff, Hamed Tabkhi:
CHAD: Charlotte Anomaly Dataset. SCIA (1) 2023: 50-66 - [c40]Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Hamed Tabkhi:
Real-World Community-in-the-Loop Smart Video Surveillance System. SMARTCOMP 2023: 183-185 - [i31]Armin Danesh Pazho, Christopher Neff, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Shanle Yao, Mohammadreza Baharani, Hamed Tabkhi:
Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things. CoRR abs/2301.03561 (2023) - [i30]Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Sai Datta Bhaskararayuni, Arun Ravindran, Shannon Reid, Hamed Tabkhi:
Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety. CoRR abs/2302.04310 (2023) - [i29]Ghazal Alinezhad Noghre, Armin Danesh Pazho, Vinit Katariya, Hamed Tabkhi:
Understanding the Challenges and Opportunities of Pose-based Anomaly Detection. CoRR abs/2303.05463 (2023) - [i28]Vinit Katariya, Ghazal Alinezhad Noghre, Armin Danesh Pazho, Hamed Tabkhi:
A POV-based Highway Vehicle Trajectory Dataset and Prediction Architecture. CoRR abs/2303.06202 (2023) - [i27]Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Hamed Tabkhi:
Real-World Community-in-the-Loop Smart Video Surveillance - A Case Study at a Community College. CoRR abs/2303.12934 (2023) - [i26]Narges Rashvand, Sanaz Sadat Hosseini, Mona Azarbayjani, Hamed Tabkhi:
A Novel Neural Network Approach for Predicting the Arrival Time of Buses for Smart On-Demand Public Transit. CoRR abs/2303.15495 (2023) - [i25]Sanaz Sadat Hosseini, Mona Azarbayjani, Jason Lawrence, Hamed Tabkhi:
Towards Understanding the Benefits and Challenges of Demand Responsive Public Transit- A Case Study in the City of Charlotte, NC. CoRR abs/2304.06467 (2023) - [i24]Christopher Neff, Armin Danesh Pazho, Hamed Tabkhi:
Real-Time Online Unsupervised Domain Adaptation for Real-World Person Re-identification. CoRR abs/2306.03993 (2023) - [i23]Armin Danesh Pazho, Vinit Katariya, Ghazal Alinezhad Noghre, Hamed Tabkhi:
VT-Former: A Transformer-based Vehicle Trajectory Prediction Approach For Intelligent Highway Transportation Systems. CoRR abs/2311.06623 (2023) - [i22]Vinit Katariya, Fatema-E. Jannat, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Hamed Tabkhi:
VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-Applications. CoRR abs/2311.07880 (2023) - [i21]Shanle Yao, Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Hamed Tabkhi:
Integrating AI into CCTV Systems: A Comprehensive Evaluation of Smart Video Surveillance in Community Space. CoRR abs/2312.02078 (2023) - [i20]Babak Rahimi Ardabili, Shanle Yao, Armin Danesh Pazho, Lauren Bourque, Hamed Tabkhi:
Enhancing Situational Awareness in Surveillance: Leveraging Data Visualization Techniques for Machine Learning-based Video Analytics Outcomes. CoRR abs/2312.05629 (2023) - [i19]Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Vinit Katariya, Gordon Hull, Shannon Reid, Hamed Tabkhi:
Exploring Public's Perception of Safety and Video Surveillance Technology: A Survey Approach. CoRR abs/2312.06707 (2023) - 2022
- [j21]Mohammadreza Baharani, Hamed Tabkhi:
ATCN: Resource-efficient Processing of Time Series on Edge. ACM Trans. Embed. Comput. Syst. 21(5): 61:1-61:19 (2022) - [j20]Vinit Katariya, Mohammadreza Baharani, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi:
DeepTrack: Lightweight Deep Learning for Vehicle Trajectory Prediction in Highways. IEEE Trans. Intell. Transp. Syst. 23(10): 18927-18936 (2022) - [c39]Roshanak Ashrafi, Mona Azarbayjani, Hamed Tabkhi, Mohammadamin Sheikhshahrokhdehkordi:
The Influence Of Covid Related Ventilation Rate Changes On The Energy Consumption And Infection Probability Of The Buildings: Underfloor And Overhead Air Distribution Systems. ANNSIM 2022: 718-729 - [c38]Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff, Hamed Tabkhi:
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation. ICPRAI (2) 2022: 258-270 - [c37]Hamed Tabkhi:
Real-World Computer Vision for Real-World Applications: Challenges and Directions. IntelliSys (1) 2022: 727-750 - [c36]Samantha Luu, Arun Ravindran, Armin Danesh Pazho, Hamed Tabkhi:
VEI: a multicloud edge gateway for computer vision in IoT. MIDDLEWEDGE@Middleware 2022: 6-11 - [i18]Justin Sanchez, Christopher Neff, Hamed Tabkhi:
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance. CoRR abs/2201.05739 (2022) - [i17]Ghazal Alinezhad Noghre, Armin Danesh Pazho, Justin Sanchez, Nathan Hewitt, Christopher Neff, Hamed Tabkhi:
ADG-Pose: Automated Dataset Generation for Real-World Human Pose Estimation. CoRR abs/2202.00753 (2022) - [i16]Roshanak Ashrafi, Mona Azarbayjani, Hamed Tabkhi:
Machine Learning-Based Automated Thermal Comfort Prediction: Integration of Low-Cost Thermal and Visual Cameras for Higher Accuracy. CoRR abs/2204.08463 (2022) - [i15]Roshanak Ashrafi, Mona Azarbayjani, Hamed Tabkhi:
A Novel Fully Annotated Thermal Infrared Face Dataset: Recorded in Various Environment Conditions and Distances From The Camera. CoRR abs/2205.02093 (2022) - [i14]Armin Danesh Pazho, Ghazal Alinezhad Noghre, Arnab A. Purkayastha, Jagannadh Vempati, Martin Otto, Hamed Tabkhi:
A Comprehensive Survey of Graph-based Deep Learning Approaches for Anomaly Detection in Complex Distributed Systems. CoRR abs/2206.04149 (2022) - [i13]Ghazal Alinezhad Noghre, Vinit Katariya, Armin Danesh Pazho, Christopher Neff, Hamed Tabkhi:
Pishgu: Universal Path Prediction Architecture through Graph Isomorphism and Attentive Convolution. CoRR abs/2210.08057 (2022) - [i12]Armin Danesh Pazho, Ghazal Alinezhad Noghre, Babak Rahimi Ardabili, Christopher Neff, Hamed Tabkhi:
CHAD: Charlotte Anomaly Dataset. CoRR abs/2212.09258 (2022) - [i11]Babak Rahimi Ardabili, Armin Danesh Pazho, Ghazal Alinezhad Noghre, Christopher Neff, Arun Ravindran, Hamed Tabkhi:
Understanding Ethics, Privacy, and Regulations in Smart Video Surveillance for Public Safety. CoRR abs/2212.12936 (2022) - 2021
- [j19]Anjus George, Arun Ravindran, Matías Mendieta, Hamed Tabkhi:
Mez: An Adaptive Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge. IEEE Access 9: 21457-21473 (2021) - [j18]Sepehr Sabeti, Omidreza Shoghli, Mohammadreza Baharani, Hamed Tabkhi:
Toward AI-enabled augmented reality to enhance the safety of highway work zones: Feasibility, requirements, and challenges. Adv. Eng. Informatics 50: 101429 (2021) - [j17]Christopher Neff, Aneri Sheth, Steven Furgurson, John Middleton, Hamed Tabkhi:
EfficientHRNet. J. Real Time Image Process. 18(4): 1037-1049 (2021) - [c35]Matías Mendieta, Hamed Tabkhi:
CARPe Posterum: A Convolutional Approach for Real-Time Pedestrian Path Prediction. AAAI 2021: 2346-2354 - [c34]Jinghan Zhang, Aly Sultan, Hamed Tabkhi, Gunar Schirner:
MG-DmDSE: Multi-Granularity Domain Design Space Exploration Considering Function Similarity. DATE 2021: 1198-1203 - [c33]Mohammadreza Baharani, Ushma Sunil, Kaustubh Manohar, Steven Furgurson, Hamed Tabkhi:
DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks. ACM Great Lakes Symposium on VLSI 2021: 247-252 - [c32]Justin Sanchez, Christopher Neff, Hamed Tabkhi:
Real-World Graph Convolution Networks (RW-GCNs) for Action Recognition in Smart Video Surveillance. SEC 2021: 121-134 - [c31]Mohammadreza Baharani, Ushma Sunil Bharucha, Kaustubh Manohar Mhatre, Hamed Tabkhi:
Tufan: Low-Power Throughput Architecture for Acceleration of EfficientNet on Cloud FPGAs. SoCC 2021: 13-18 - [c30]Arnab A. Purkayastha, Hamed Tabkhi:
Design Study on Impact of Memory Access Parallelism for Cloud FPGAs. SoCC 2021: 254-259 - [i10]Anbumalar Saravanan, Justin Sanchez, Hassan Ghasemzadeh, Aurelia Macabasco-O'Connell, Hamed Tabkhi:
Single Run Action Detector over Video Stream - A Privacy Preserving Approach. CoRR abs/2102.03391 (2021) - [i9]Mohammadreza Baharani, Vinit Katariya, Nichole Morris, Omidreza Shoghli, Hamed Tabkhi:
DeepTrack: Lightweight Deep Learning for Vehicle Path Prediction in Highways. CoRR abs/2108.00505 (2021) - 2020
- [j16]Christopher Neff, Matías Mendieta, Shrey Mohan, Mohammadreza Baharani, Samuel Rogers, Hamed Tabkhi:
REVAMP2T: Real-Time Edge Video Analytics for Multicamera Privacy-Aware Pedestrian Tracking. IEEE Internet Things J. 7(4): 2591-2602 (2020) - [j15]Justin Sanchez, Adarsh Sawant, Christopher Neff, Hamed Tabkhi:
AWARE-CNN: Automated Workflow for Application-Aware Real-Time Edge Acceleration of CNNs. IEEE Internet Things J. 7(10): 9318-9329 (2020) - [j14]Arnab A. Purkayastha, Samuel Rogers, Suhas A. Shiddibhavi, Hamed Tabkhi:
LLVM-based automation of memory decoupling for OpenCL applications on FPGAs. Microprocess. Microsystems 72 (2020) - [j13]Jinghan Zhang, Hamed Tabkhi, Gunar Schirner:
Allocating One Common ACC-Rich Platform for Many Streaming Applications. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 5156-5169 (2020) - [c29]Samuel Rogers, Joshua Slycord, Mohammadreza Baharani, Hamed Tabkhi:
gem5-SALAM: A System Architecture for LLVM-based Accelerator Modeling. MICRO 2020: 471-482 - [c28]Jhanani Thiagarajan, Arnab A. Purkayastha, Atul Patil, Hamed Tabkhi:
Exploring the Scalability of OpenCL Coarse Grained Parallelism on Cloud FPGAs. SoCC 2020: 213-218 - [i8]Matías Mendieta, Hamed Tabkhi:
CARPe Posterum: A Convolutional Approach for Real-time Pedestrian Path Prediction. CoRR abs/2005.12469 (2020) - [i7]Christopher Neff, Aneri Sheth, Steven Furgurson, Hamed Tabkhi:
EfficientHRNet: Efficient Scaling for Lightweight High-Resolution Multi-Person Pose Estimation. CoRR abs/2007.08090 (2020) - [i6]Mohammadreza Baharani, Ushma Sunil, Kaustubh Manohar, Steven Furgurson, Hamed Tabkhi:
DeepDive: An Integrative Algorithm/Architecture Co-Design for Deep Separable Convolutional Neural Networks. CoRR abs/2007.09490 (2020) - [i5]Anjus George, Arun Ravindran, Matías Mendieta, Hamed Tabkhi:
Mez: A Messaging System for Latency-Sensitive Multi-Camera Machine Vision at the IoT Edge. CoRR abs/2009.13549 (2020) - [i4]Mohammadreza Baharani, Steven Furgurson, Babak Parkhideh, Hamed Tabkhi:
ATCN: Agile Temporal Convolutional Networks for Processing of Time Series on Edge. CoRR abs/2011.05260 (2020)
2010 – 2019
- 2019
- [j12]Samuel Rogers, Joshua Slycord, Ronak Raheja, Hamed Tabkhi:
Scalable LLVM-Based Accelerator Modeling in gem5. IEEE Comput. Archit. Lett. 18(1): 18-21 (2019) - [j11]Mohammadreza Baharani, Mehrdad Biglarbegian, Babak Parkhideh, Hamed Tabkhi:
Real-Time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters. IEEE Internet Things J. 6(5): 7375-7385 (2019) - [j10]Nasibeh Teimouri, Hamed Tabkhi, Gunar Schirner:
Alleviating Scalability Limitation of Accelerator-Based Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 38(7): 1317-1330 (2019) - [c27]Arnab A. Purkayastha, Sai Raghavendran, Jhanani Thiagarajan, Hamed Tabkhi:
Exploring the Efficiency of OpenCL Pipe for Hiding Memory Latency on Cloud FPGAs. HPEC 2019: 1-7 - [c26]Jinghan Zhang, Hamed Tabkhi, Gunar Schirner:
Mitigating Application Diversity for Allocating a Unified ACC-Rich Platform. ICCD 2019: 622-625 - [c25]Mohammadreza Baharani, Shrey Mohan, Hamed Tabkhi:
Real-Time Person Re-identification at the Edge: A Mixed Precision Approach. ICIAR (2) 2019: 27-39 - [c24]Pratik Kulkarni, Shrey Mohan, Samuel Rogers, Hamed Tabkhi:
Key-Track: A Lightweight Scalable LSTM-based Pedestrian Tracker for Surveillance Systems. ICIAR (2) 2019: 208-219 - [i3]Mohammadreza Baharani, Mehrdad Biglarbegian, Babak Parkhideh, Hamed Tabkhi:
Real-time Deep Learning at the Edge for Scalable Reliability Modeling of Si-MOSFET Power Electronics Converters. CoRR abs/1908.01244 (2019) - [i2]Mohammadreza Baharani, Shrey Mohan, Hamed Tabkhi:
Real-time Person Re-identification at the Edge: A Mixed Precision Approach. CoRR abs/1908.07842 (2019) - [i1]Christopher Neff, Matías Mendieta, Shrey Mohan, Mohammadreza Baharani, Samuel Rogers, Hamed Tabkhi:
REVAMP2T: Real-time Edge Video Analytics for Multi-camera Privacy-aware Pedestrian Tracking. CoRR abs/1911.09217 (2019) - 2018
- [c23]Samuel Rogers, Hamed Tabkhi:
Locality aware memory assignment and tiling. DAC 2018: 130:1-130:6 - [c22]Jinghan Zhang, Hamed Tabkhi, Gunar Schirner:
DS-DSE: Domain-specific design space exploration for streaming applications. DATE 2018: 165-170 - [c21]Justin Sanchez, Nasim Soltani, Pratik Kulkarni, Ramachandra Vikas Chamarthi, Hamed Tabkhi:
A Reconfigurable Streaming Processor for Real-Time Low-Power Execution of Convolutional Neural Networks at the Edge. EDGE 2018: 49-64 - [c20]Justin Sanchez, Nasim Soltani, Ramachandra Vikas Chamarthi, Adarsh Sawant, Hamed Tabkhi:
A Novel 1D-Convolution Accelerator for Low-Power Real-time CNN processing on the Edge. HPEC 2018: 1-8 - [c19]Arnab A. Purkayastha, Suhas Ashok Shiddhibhavi, Hamed Tabkhi:
Taxonomy of Spatial Parallelism on FPGAs for Massively Parallel Applications. SoCC 2018: 55-60 - 2017
- [c18]Hamed Tabkhi:
Toward end-to-end object detection and tracking on the edge. SEC 2017: 32:1-32:2 - 2016
- [j9]Chulian Zhang, Hamed Tabkhi, Gunar Schirner:
Studying Inter-Warp Divergence Aware Execution on GPUs. IEEE Comput. Archit. Lett. 15(2): 117-120 (2016) - [j8]Hamed Tabkhi, Robert Bushey, Gunar Schirner:
Function-Level Processor (FLP): A Novel Processor Class for Efficient Processing of Streaming Applications. J. Signal Process. Syst. 85(3): 287-306 (2016) - [c17]Nasibeh Teimouri, Hamed Tabkhi, Gunar Schirner:
Improving scalability of CMPs with dense ACCs coverage. DATE 2016: 1610-1615 - [c16]Hamed Tabkhi, Majid Sabbagh, Gunar Schirner:
Guiding Power/Quality Exploration for Communication-Intense Stream Processing. ACM Great Lakes Symposium on VLSI 2016: 141-144 - [c15]Amir Momeni, Hamed Tabkhi, Gunar Schirner, David R. Kaeli:
Hardware thread reordering to boost OpenCL throughput on FPGAs. ICCD 2016: 257-264 - 2015
- [j7]Hamed Tabkhi, Majid Sabbagh, Gunar Schirner:
Power-efficient real-time solution for adaptive vision algorithms. IET Comput. Digit. Tech. 9(1): 16-26 (2015) - [j6]Hamed Tabkhi, Robert Bushey, Gunar Schirner:
Conceptual Abstraction Levels (CALs) for managing design complexity of market-oriented MPSoCs. Microprocess. Microsystems 39(8): 704-719 (2015) - [j5]Amir Momeni, Hamed Tabkhi, Yash Ukidave, Gunar Schirner, David R. Kaeli:
Exploring the Efficiency of the OpenCL Pipe Semantic on an FPGA. SIGARCH Comput. Archit. News 43(4): 52-57 (2015) - [j4]Hamed Tabkhi, Gunar Schirner:
A Joint SW/HW Approach for Reducing Register File Vulnerability. ACM Trans. Archit. Code Optim. 12(2): 9:1-9:28 (2015) - [c14]Hamed Tabkhi, Majid Sabbagh, Gunar Schirner:
An efficient architecture solution for low-power real-time background subtraction. ASAP 2015: 218-225 - [c13]Nasibeh Teimouri, Hamed Tabkhi, Gunar Schirner:
Revisiting accelerator-rich CMPs: challenges and solutions. DAC 2015: 84:1-84:6 - [c12]Amir Momeni, Hamed Tabkhi, Gunar Schirner, David R. Kaeli:
Bridging Architecture and Programming for Throughput-Oriented Vision Processing (Abstract Only). FPGA 2015: 275 - [c11]Majid Sabbagh, Hamed Tabkhi, Gunar Schirner:
Taming the Memory Demand Complexity of Adaptive Vision Algorithms. IESS 2015: 145-158 - 2014
- [j3]Hamed Tabkhi, Robert Bushey, Gunar Schirner:
Function-Level Processor (FLP): A High Performance, Minimal Bandwidth, Low Power Architecture for Market-Oriented MPSoCs. IEEE Embed. Syst. Lett. 6(4): 65-68 (2014) - [j2]Hamed Tabkhi, Gunar Schirner:
Application-Guided Power Gating Reducing Register File Static Power. IEEE Trans. Very Large Scale Integr. Syst. 22(12): 2513-2526 (2014) - [c10]Hamed Tabkhi, Robert Bushey, Gunar Schirner:
Function-Level Processor (FLP): Raising efficiency by operating at function granularity for market-oriented MPSoC. ASAP 2014: 121-130 - [c9]Hamed Tabkhi, Majid Sabbagh, Gunar Schirner:
A Power-Efficient FPGA-Based Mixture-of-Gaussian (MoG) Background Subtraction for Full-HD Resolution. FCCM 2014: 241 - [c8]Chulian Zhang, Hamed Tabkhi, Gunar Schirner:
A GPU-Based Algorithm-Specific Optimization for High-Performance Background Subtraction. ICPP 2014: 182-191 - 2013
- [c7]Robert Bushey, Hamed Tabkhi, Gunar Schirner:
Flexible function-level acceleration of embedded vision applications using the Pipelined Vision Processor. ACSSC 2013: 1447-1452 - [c6]Hamed Tabkhi, Robert Bushey, Gunar Schirner:
Algorithm and architecture co-design of Mixture of Gaussian (MoG) background subtraction for embedded vision. ACSSC 2013: 1815-1820 - 2012
- [c5]Hamed Tabkhi, Gunar Schirner:
Application-specific power-efficient approach for reducing register file vulnerability. DATE 2012: 574-577 - [c4]Hamed Tabkhi, Gunar Schirner:
AFReP: Application-guided Function-level Registerfile power-gating for embedded processors. ICCAD 2012: 302-308 - [c3]Hamed Tabkhi, Gunar Schirner:
ARRA: Application-guided reliability-enhanced registerfile architecture for embedded processors. VLSI-SoC 2012: 299-302 - 2011
- [j1]Ahmad Patooghy, Seyed Ghassem Miremadi, Hamed Tabkhi:
A reliable and power efficient flow-control method to eliminate crosstalk faults in network-on-chips. Microprocess. Microsystems 35(8): 766-778 (2011) - 2010
- [c2]Ahmad Patooghy, Hamed Tabkhi, Seyed Ghassem Miremadi:
An Efficient Method to Reliable Data Transmission in Network-on-Chips. DSD 2010: 467-474
2000 – 2009
- 2008
- [c1]Hamed Tabkhi, Seyed Ghassem Miremadi, Alireza Ejlali:
An Asymmetric Checkpointing and Rollback Error Recovery Scheme for Embedded Processors. DFT 2008: 445-453
Coauthor Index
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load references from crossref.org and opencitations.net
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Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
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OpenAlex data
Load additional information about publications from 
.
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last updated on 2024-10-23 20:36 CEST by the dblp team
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