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ORCIDGeorge K. Thiruvathukal
George Kuriakose Thiruvathukal
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2020 – today
- 2025
[j75]David Guerrero-Pantoja, Erik Pautsch, Clara J. Almeida, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja:
Accelerating uncertainty methods for distributed deep learning on novel architectures. J. Supercomput. 81(1): 315 (2025)- 2024
- [j74]Joanna F. DeFranco
, Nir Kshetri, George K. Thiruvathukal, George F. Hurlburt:
Crowdsourcing: A Roundtable Discussion. Computer 57(8): 15-21 (2024) - [j73]Theresa Fister, George K. Thiruvathukal:
Artificial Intelligence Employment Interviews: Examining Limitations, Biases, and Perceptions. Computer 57(10): 76-81 (2024) - [j72]Konstantin Läufer, Gunda Mertin, George K. Thiruvathukal:
Engaging More Students in Formal Methods Education: A Practical Approach Using Temporal Logic of Actions. Computer 57(12): 118-123 (2024) - [j71]Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis:
Challenges and practices of deep learning model reengineering: A case study on computer vision. Empir. Softw. Eng. 29(6): 142 (2024) - [j70]Dario Dematties, Silvio Rizzi, George K. Thiruvathukal:
Containerization on a self-supervised active foveated approach to computer vision. Rev. Colomb. de Computación 25(1): 29-38 (2024) - [j69]Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed:
SingleADV: Single-Class Target-Specific Attack Against Interpretable Deep Learning Systems. IEEE Trans. Inf. Forensics Secur. 19: 5985-5998 (2024) - [c60]Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu:
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. ASPDAC 2024: 890-895 - [c59]Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis:
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims. ESEM 2024: 13-24 - [c58]Purvish Jajal, Wenxin Jiang, Arav Tewari, Erik Kocinare, Joseph Woo, Anusha Sarraf, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
Interoperability in Deep Learning: A User Survey and Failure Analysis of ONNX Model Converters. ISSTA 2024: 1466-1478 - [c57]Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis:
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. MSR 2024: 431-443 - [c56]Clara J. Almeida, David Guerrero-Pantoja, Erik Pautsch, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja:
Optimizing Uncertainty Estimation on Scientific Visualizations Using Learning Models. SC Workshops 2024: 387-393 - [c55]Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer Abuhmed:
Unmasking the Vulnerabilities of Deep Learning Models: A Multi-Dimensional Analysis of Adversarial Attacks and Defenses. SVCC 2024: 1-8 - [c54]Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed:
The Impact of Model Variations on the Robustness of Deep Learning Models in Adversarial Settings. SVCC 2024: 1-7 - [i45]Wenxin Jiang, Jerin Yasmin, Jason Jones, Nicholas Synovic, Jiashen Kuo, Nathaniel Bielanski, Yuan Tian, George K. Thiruvathukal, James C. Davis:
PeaTMOSS: A Dataset and Initial Analysis of Pre-Trained Models in Open-Source Software. CoRR abs/2402.00699 (2024) - [i44]Leo Chen, Benjamin Boardley, Ping Hu, Yiru Wang, Yifan Pu, Xin Jin, Yongqiang Yao, Ruihao Gong, Bo Li, Gao Huang, Xianglong Liu, Zifu Wan, Xinwang Chen, Ning Liu, Ziyi Zhang, Dongping Liu, Ruijie Shan, Zhengping Che, Fachao Zhang, Xiaofeng Mou, Jian Tang, Maxim Chuprov, Ivan Malofeev, Alexander Goncharenko, Andrey Shcherbin, Arseny Yanchenko, Sergey Alyamkin, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu:
2023 Low-Power Computer Vision Challenge (LPCVC) Summary. CoRR abs/2403.07153 (2024) - [i43]Isaac Ahlgren, Jack West, Kyuin Lee, George K. Thiruvathukal, Neil Klingensmith:
A Signal Injection Attack Against Zero Involvement Pairing and Authentication for the Internet of Things. CoRR abs/2403.14018 (2024) - [i42]James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. CoRR abs/2404.16688 (2024) - [i41]Firuz Juraev, Mohammed Abuhamad, Simon S. Woo, George K. Thiruvathukal, Tamer Abuhmed:
Impact of Architectural Modifications on Deep Learning Adversarial Robustness. CoRR abs/2405.01934 (2024) - [i40]Firuz Juraev, Mohammed Abuhamad, Eric Chan-Tin, George K. Thiruvathukal, Tamer Abuhmed:
From Attack to Defense: Insights into Deep Learning Security Measures in Black-Box Settings. CoRR abs/2405.01963 (2024) - [i39]Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis:
What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims. CoRR abs/2406.08205 (2024) - [i38]Konstantin Läufer, Gunda Mertin, George K. Thiruvathukal:
WIP: An Engaging Undergraduate Intro to Model Checking in Software Engineering Using TLA+. CoRR abs/2407.21152 (2024) - [i37]Huiyun Peng, Arjun Gupte, Nicholas John Eliopoulos, Chien Chou Ho, Rishi Mantri, Leo Deng, Wenxin Jiang, Yung-Hsiang Lu, Konstantin Läufer, George K. Thiruvathukal, James C. Davis:
Large Language Models for Energy-Efficient Code: Emerging Results and Future Directions. CoRR abs/2410.09241 (2024) - [i36]Ryan Hasler, Konstantin Läufer, George K. Thiruvathukal, Huiyun Peng, Kyle Robinson, Kirsten Davis, Yung-Hsiang Lu, James C. Davis:
Can Large-Language Models Help us Better Understand and Teach the Development of Energy-Efficient Software? CoRR abs/2411.08912 (2024) - 2023
- [j68]Shane Allcroft, Mohammed Metwaly, Zachery Berg, Isha Ghodgaonkar, Fischer Bordwell, Xinxin Zhao, Xinglei Liu, Jiahao Xu, Subhankar Chakraborty, Vishnu Banna, Akhil Chinnakotla, Abhinav Goel, Caleb Tung, Gore Kao, Wei Zakharov, David A. Shoham, George K. Thiruvathukal, Yung-Hsiang Lu:
Observing Human Mobility Internationally During COVID-19. Computer 56(3): 59-69 (2023) - [j67]Xiao Hu, Ziteng Jiao, Ayden Kocher, Zhenyu Wu, Junjie Liu, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu:
Evolution of Winning Solutions in the 2021 Low-Power Computer Vision Challenge. Computer 56(8): 28-37 (2023) - [j66]Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis:
Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision. IEEE Des. Test 40(3): 53-61 (2023) - [c53]Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. ICSE 2023: 2463-2475 - [c52]James C. Davis, Purvish Jajal, Wenxin Jiang, Taylor R. Schorlemmer, Nicholas Synovic, George K. Thiruvathukal:
Reusing Deep Learning Models: Challenges and Directions in Software Engineering. JVA 2023: 17-30 - [c51]Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis:
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. MSR 2023: 57-61 - [c50]H. Martin Bücker, Jeremiah Corrado, Daniel Fedorin, Diego García-Álvarez, Arturo González-Escribano, John Li, Maria Pantoja, Erik Pautsch, Marieke Plesske, Marcelo Ponce, Silvio Rizzi, Erik Saule, Johannes Schoder, George K. Thiruvathukal, Ramses van Zon, Wolf Weber, David P. Bunde:
Peachy Parallel Assignments (EduHPC 2023). SC Workshops 2023: 366-373 - [c49]Michael Alexander, Sanjukta Bhowmick, Befikir Bogale, Gilberto Díaz, Anne C. Elster, Danielle A. Ellsworth, Carlos Jaime Barrios Hernández, Evan Jaffe, Jack Marquez, Alison Melton, Aashish Pandey, Suzanne Parete-Koon, Nigel Tan, Michela Taufer, Verónica G. Melesse Vergara, Lauren Whitnah, George K. Thiruvathukal:
EduHPC Lightning Talk Summary. SC Workshops 2023: 374-378 - [c48]Erik Pautsch, John Li, Silvio Rizzi, George K. Thiruvathukal, Maria Pantoja:
Optimized Uncertainty Estimation for Vision Transformers: Enhancing Adversarial Robustness and Performance Using Selective Classification. SC Workshops 2023: 391-394 - [c47]Isaac Ahlgren, Victor Rakotondranoro, Yasin N. Silva, Eric Chan-Tin, George K. Thiruvathukal, Neil Klingensmith:
Userland Containers for Mobile Systems. HotMobile 2023: 141 - [i35]Wenxin Jiang, Nicholas Synovic, Matt Hyatt, Taylor R. Schorlemmer, Rohan Sethi, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Empirical Study of Pre-Trained Model Reuse in the Hugging Face Deep Learning Model Registry. CoRR abs/2303.02552 (2023) - [i34]Wenxin Jiang, Vishnu Banna, Naveen Vivek, Abhinav Goel, Nicholas Synovic, George K. Thiruvathukal, James C. Davis:
Challenges and Practices of Deep Learning Model Reengineering: A Case Study on Computer Vision. CoRR abs/2303.07476 (2023) - [i33]Wenxin Jiang, Nicholas Synovic, Purvish Jajal, Taylor R. Schorlemmer, Arav Tewari, Bhavesh Pareek, George K. Thiruvathukal, James C. Davis:
PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages. CoRR abs/2303.08934 (2023) - [i32]Purvish Jajal, Wenxin Jiang, Arav Tewari, Joseph Woo, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
Analysis of Failures and Risks in Deep Learning Model Converters: A Case Study in the ONNX Ecosystem. CoRR abs/2303.17708 (2023) - [i31]Eldor Abdukhamidov, Mohammed Abuhamad, George K. Thiruvathukal, Hyoungshick Kim, Tamer Abuhmed:
Single-Class Target-Specific Attack against Interpretable Deep Learning Systems. CoRR abs/2307.06484 (2023) - [i30]Wenxin Jiang, Chingwo Cheung, George K. Thiruvathukal, James C. Davis:
Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs. CoRR abs/2310.01642 (2023) - [i29]Wenxin Jiang, Jason Jones, Jerin Yasmin, Nicholas Synovic, Rajeev Sashti, Sophie Chen, George K. Thiruvathukal, Yuan Tian, James C. Davis:
PeaTMOSS: Mining Pre-Trained Models in Open-Source Software. CoRR abs/2310.03620 (2023) - [i28]Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu:
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions. CoRR abs/2310.07782 (2023) - [i27]Isaac Ahlgren, Jack West, Kyuin Lee, George K. Thiruvathukal, Neil Klingensmith:
SyncBleed: A Realistic Threat Model and Mitigation Strategy for Zero-Involvement Pairing and Authentication (ZIPA). CoRR abs/2311.04433 (2023) - 2022
- [j65]George K. Thiruvathukal, Yung-Hsiang Lu:
Efficient Computer Vision for Embedded Systems. Computer 55(4): 15-19 (2022) - [j64]Dario Dematties, Silvio Rizzi, George K. Thiruvathukal, Alejandro Wainselboim:
Towards an Active Foveated Approach to Computer Vision. Computación y Sistemas 26(4) (2022) - [j63]Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, Yung-Hsiang Lu, George K. Thiruvathukal:
Why Accuracy is Not Enough: The Need for Consistency in Object Detection. IEEE Multim. 29(3): 8-16 (2022) - [j62]Yucheng Yang, Jack West, George K. Thiruvathukal, Neil Klingensmith, Kassem Fawaz:
Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps. Proc. Priv. Enhancing Technol. 2022(3): 373-393 (2022) - [j61]Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal:
Automated Discovery of Network Cameras in Heterogeneous Web Pages. ACM Trans. Internet Techn. 22(1): 15:1-15:25 (2022) - [c46]Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu:
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. AICAS 2022: 340-343 - [c45]Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu:
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. ASP-DAC 2022: 532-537 - [c44]Konstantin Läufer, George K. Thiruvathukal:
UnoAPI: Balancing Performance, Portability, and Productivity (P3) in HPC Education. EduHPC@SC 2022: 1-10 - [c43]Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu:
Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision. ISLPED 2022: 30:1-30:6 - [c42]Nicholas M. Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal:
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. ASE 2022: 167:1-167:4 - [c41]Wenxin Jiang, Nicholas Synovic, Rohan Sethi, Aryan Indarapu, Matt Hyatt, Taylor R. Schorlemmer, George K. Thiruvathukal, James C. Davis:
An Empirical Study of Artifacts and Security Risks in the Pre-trained Model Supply Chain. SCORED@CCS 2022: 105-114 - [c40]Jakob Veselsky, Jack West, Isaac Ahlgren, George K. Thiruvathukal, Neil Klingensmith, Abhinav Goel, Wenxin Jiang, James C. Davis, Kyuin Lee, Younghyun Kim:
Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach. HotMobile 2022: 128 - [c39]Isaac Ahlgren, Jack West, George K. Thiruvathukal, Neil Klingensmith:
A universally composable bit generation scheme for zero involvement authentication. HotMobile 2022: 129 - [i26]Yucheng Yang, Jack West, George K. Thiruvathukal, Neil Klingensmith, Kassem Fawaz:
Are You Really Muted?: A Privacy Analysis of Mute Buttons in Video Conferencing Apps. CoRR abs/2204.06128 (2022) - [i25]Caleb Tung, Abhinav Goel, Xiao Hu, Nicholas Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu:
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. CoRR abs/2207.10741 (2022) - [i24]Nicholas Synovic, Matt Hyatt, Rohan Sethi, Sohini Thota, Shilpika, Allan J. Miller, Wenxin Jiang, Emmanuel S. Amobi, Austin Pinderski, Konstantin Läufer, Nicholas J. Hayward, Neil Klingensmith, James C. Davis, George K. Thiruvathukal:
Snapshot Metrics Are Not Enough: Analyzing Software Repositories with Longitudinal Metrics. CoRR abs/2207.11767 (2022) - [i23]Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu:
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection. CoRR abs/2207.13890 (2022) - 2021
- [j60]Lorena A. Barba, George K. Thiruvathukal:
Trustworthy Computational Evidence Through Transparency and Reproducibility. Comput. Sci. Eng. 23(1): 58-64 (2021) - [j59]Duncan A. Brown, Karan Vahi, Michela Taufer, Von Welch, Ewa Deelman, Lorena A. Barba, George K. Thiruvathukal:
Reproducing GW150914: The First Observation of Gravitational Waves From a Binary Black Hole Merger. Comput. Sci. Eng. 23(2): 73-82 (2021) - [j58]Gregory J. Matthews, Karthik Bharath, Sebastian Kurtek, Juliet K. Brophy, George K. Thiruvathukal, Ofer Harel:
Shape-Based Classification of Partially Observed Curves, With Applications to Anthropology. Frontiers Appl. Math. Stat. 7: 759622 (2021) - [j57]Abhinav Goel, Sarah Aghajanzadeh, Caleb Tung, Shuo-Han Chen, George K. Thiruvathukal, Yung-Hsiang Lu:
Modular Neural Networks for Low-Power Image Classification on Embedded Devices. ACM Trans. Design Autom. Electr. Syst. 26(1): 1:1-1:35 (2021) - [c38]Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, Neil Klingensmith:
Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication. IPSN 2021: 93-105 - [c37]Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu:
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. ISLPED 2021: 1-6 - [i22]Ryan Dailey, Aniesh Chawla, Andrew Liu, Sripath Mishra, Ling Zhang, Josh Majors, Yung-Hsiang Lu, George K. Thiruvathukal:
Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages. CoRR abs/2103.12286 (2021) - [i21]Jack West, Kyuin Lee, Suman Banerjee, Younghyun Kim, George K. Thiruvathukal, Neil Klingensmith:
Moonshine: An Online Randomness Distiller for Zero-Involvement Authentication. CoRR abs/2104.14618 (2021) - [i20]Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu:
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. CoRR abs/2106.10588 (2021) - [i19]Vishnu Banna, Akhil Chinnakotla, Zhengxin Yan, Anirudh Vegesana, Naveen Vivek, Kruthi Krishnappa, Wenxin Jiang, Yung-Hsiang Lu, George K. Thiruvathukal, James C. Davis:
An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors. CoRR abs/2107.00821 (2021) - [i18]Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu:
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. CoRR abs/2109.13356 (2021) - 2020
- [j56]Olivier Mesnard, Lorena A. Barba, George K. Thiruvathukal:
Reproducible Workflow on a Public Cloud for Computational Fluid Dynamics. Comput. Sci. Eng. 22(1): 102-116 (2020) - [j55]Ana Trisovic, Chris R. Jones, Ben Couturier, Marco Clemencic, Lorena A. Barba, George K. Thiruvathukal:
Provenance Tracking in the LHCb Software. Comput. Sci. Eng. 22(2): 88-94 (2020) - [c36]Brook W. Abegaz, Eric Chan-Tin, Neil Klingensmith, George K. Thiruvathukal:
Addressing Rogue Vehicles by Integrating Computer Vision, Activity Monitoring, and Contextual Information. AutomotiveUI (adjunct) 2020: 62-64 - [c35]Aditya Chakraborty, Akshay Pawar, Hojoung Jang, Shunqiao Huang, Sripath Mishra, Shuo-Han Chen, Yuan-Hao Chang, George K. Thiruvathukal, Yung-Hsiang Lu:
A Real-Time Feature Indexing System on Live Video Streams. COMPSAC 2020: 42-50 - [c34]Jack West, Neil Klingensmith, George K. Thiruvathukal:
FLIC: A Distributed Fog Cache for City-Scale Applications. ICFC 2020: 73-78 - [c33]Sarah Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, George K. Thiruvathukal:
Camera Placement Meeting Restrictions of Computer Vision. ICIP 2020: 3254-3258 - [c32]Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu:
Low-power object counting with hierarchical neural networks. ISLPED 2020: 163-168 - [c31]Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal:
A Survey of Methods for Low-Power Deep Learning and Computer Vision. WF-IoT 2020: 1-6 - [c30]Xiao Hu, Haobo Wang, Anirudh Vegesana, Somesh Dube, Kaiwen Yu, Gore Kao, Shuo-Han Chen, Yung-Hsiang Lu, George K. Thiruvathukal, Ming Yin:
Crowdsourcing Detection of Sampling Biases in Image Datasets. WWW 2020: 2955-2961 - [i17]Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal:
A Survey of Methods for Low-Power Deep Learning and Computer Vision. CoRR abs/2003.11066 (2020) - [i16]Jack West, Neil Klingensmith, George K. Thiruvathukal:
FLIC: A Distributed Fog Cache for City-Scale Applications. CoRR abs/2003.12452 (2020) - [i15]Jack West, Tien VoNguyen, Isaac Ahlgren, Iryna Motyashok, George K. Thiruvathukal, Neil Klingensmith:
VoltKey: Using Power Line Noise for Zero-Involvement Pairing and Authentication (Demo Abstract). CoRR abs/2004.00092 (2020) - [i14]Isha Ghodgaonkar, Abhinav Goel, Fischer Bordwell, Caleb Tung, Sarah Aghajanzadeh, Noah Curran, Ryan Chen, Kaiwen Yu, Sneha Mahapatra, Vishnu Banna, Gore Kao, Kate Lee, Xiao Hu, Nick Eliopolous, Akhil Chinnakotla, Damini Rijhwani, Ashley Kim, Aditya Chakraborty, Mark Daniel Ward, Yung-Hsiang Lu, George K. Thiruvathukal:
Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras. CoRR abs/2005.09091 (2020) - [i13]Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu:
Low-Power Object Counting with Hierarchical Neural Networks. CoRR abs/2007.01369 (2020) - [i12]Isha Ghodgaonkar, Subhankar Chakraborty, Vishnu Banna, Shane Allcroft, Mohammed Metwaly, Fischer Bordwell, Kohsuke Kimura, Xinxin Zhao, Abhinav Goel, Caleb Tung, Akhil Chinnakotla, Minghao Xue, Yung-Hsiang Lu, Mark Daniel Ward, Wei Zakharov, David S. Ebert, David M. Barbarash, George K. Thiruvathukal:
Analyzing Worldwide Social Distancing through Large-Scale Computer Vision. CoRR abs/2008.12363 (2020)
2010 – 2019
- 2019
- [j54]Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo:
See the World Through Network Cameras. Computer 52(10): 30-40 (2019) - [j53]Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
Low-Power Computer Vision: Status, Challenges, and Opportunities. IEEE J. Emerg. Sel. Topics Circuits Syst. 9(2): 411-421 (2019) - [j52]Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal:
Cloud Resource Optimization for Processing Multiple Streams of Visual Data. IEEE Multim. 26(3): 31-41 (2019) - [c29]Nasir U. Eisty, George K. Thiruvathukal, Jeffrey C. Carver:
Use of Software Process in Research Software Development: A Survey. EASE 2019: 276-282 - [c28]Ronald I. Greenberg, George K. Thiruvathukal:
Exercises Integrating High School Mathematics with Robot Motion Planning. FIE 2019: 1-5 - [c27]Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu:
Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions. MIPR 2019: 393-398 - [c26]Dario Dematties, George K. Thiruvathukal, Silvio Rizzi, Alejandro Wainselboim, B. Silvano Zanutto:
Towards High-End Scalability on Biologically-Inspired Computational Models. PARCO 2019: 497-506 - [c25]Ronald I. Greenberg, George K. Thiruvathukal, Sara T. Greenberg:
Integrating Mathematics and Educational Robotics: Simple Motion Planning. RiE 2019: 262-269 - [c24]Konstantin Läufer, John O'Sullivan, George K. Thiruvathukal:
Tests as maintainable assets via auto-generated spies: a case study involving the scala collections library's iterator trait. SCALA@ECOOP 2019: 17-21 - [i11]Zohar Kapach, Andrew Ulmer, Daniel Merrick, Arshad Alikhan, Yung-Hsiang Lu, Anup Mohan, Ahmed S. Kaseb, George K. Thiruvathukal:
Cloud Resource Optimization for Processing Multiple Streams of Visual Data. CoRR abs/1901.06347 (2019) - [i10]Chittayong Surakitbanharn, Calvin Yau, Guizhen Wang, Aniesh Chawla, Yinuo Pan, Zhaoya Sun, Sam Yellin, David S. Ebert, Yung-Hsiang Lu, George K. Thiruvathukal:
Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response. CoRR abs/1901.06459 (2019) - [i9]Yung-Hsiang Lu, George K. Thiruvathukal, Ahmed S. Kaseb, Kent Gauen, Damini Rijhwani, Ryan Dailey, Deeptanshu Malik, Yutong Huang, Sarah Aghajanzadeh, Minghao Guo:
See the World through Network Cameras. CoRR abs/1904.06775 (2019) - [i8]Sergei Alyamkin, Matthew Ardi, Alexander C. Berg, Achille Brighton, Bo Chen, Yiran Chen, Hsin-Pai Cheng, Zichen Fan, Chen Feng, Bo Fu, Kent Gauen, Abhinav Goel, Alexander Goncharenko, Xuyang Guo, Soonhoi Ha, Andrew Howard, Xiao Hu, Yuanjun Huang, Donghyun Kang, Jaeyoun Kim, Jong-gook Ko, Alexander Kondratyev, Junhyeok Lee, Seungjae Lee, Suwoong Lee, Zichao Li, Zhiyu Liang, Juzheng Liu, Xin Liu, Yang Lu, Yung-Hsiang Lu, Deeptanshu Malik, Hong Hanh Nguyen, Eunbyung Park, Denis Repin, Liang Shen, Tao Sheng, Fei Sun, David Svitov, George K. Thiruvathukal, Baiwu Zhang, Jingchi Zhang, Xiaopeng Zhang, Shaojie Zhuo:
Low-Power Computer Vision: Status, Challenges, Opportunities. CoRR abs/1904.07714 (2019) - [i7]George K. Thiruvathukal, Cameron Christensen, Xiaoyong Jin, François Tessier, Venkatram Vishwanath:
A Benchmarking Study to Evaluate Apache Spark on Large-Scale Supercomputers. CoRR abs/1904.11812 (2019) - 2018
- [j51]Francis Sullivan, Norman Chonacky, Isabel Beichl, George K. Thiruvathukal:
Former CiSE EICs Reflect on the Magazines 20th Anniversary. Comput. Sci. Eng. 20(1): 3-7 (2018) - [j50]Jamie Payton, George K. Thiruvathukal:
Advancing broadening participation research at RESPECT. ACM SIGCSE Bull. 50(3): 9-10 (2018) - [c23]