Caleb Tung

25 papers A 3B 2Journal 15Unranked 5
YearRankTypeTitle / Venue / Authors
2024 B conf
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions.
ASPDAC
Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu
2023 J jnl
An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions.
CoRR
Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yung Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu
2023 J jnl
Observing Human Mobility Internationally During COVID-19.
Computer
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
2023 J jnl
Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision.
IEEE Des. Test
Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis
2022 A conf
Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision.
ISLPED
Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2022 — conf
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks.
ASP-DAC
Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2022 — conf
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision.
AICAS
Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
2022 J jnl
Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision.
CoRR
Caleb Tung, Abhinav Goel, Xiao Hu, Nicholas Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu
2022 J jnl
Restructurable Activation Networks.
CoRR
Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh
2022 J jnl
Why Accuracy Is Not Enough: The Need for Consistency in Object Detection.
CoRR
Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, Yung-Hsiang Lu
2022 J jnl
Why Accuracy is Not Enough: The Need for Consistency in Object Detection.
IEEE Multim.
Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, Yung-Hsiang Lu, George K. Thiruvathukal
2021 — conf
A replication of 'DeepBugs: a learning approach to name-based bug detection'.
ESEC/SIGSOFT FSE
Jordan Winkler, Abhimanyu Agarwal, Caleb Tung, Dario Rios Ugalde, Young Jin Jung, James C. Davis
2021 J jnl
Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks.
CoRR
Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu
2021 A conf
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks.
ISLPED
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2021 J jnl
Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks.
CoRR
Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu
2021 J jnl
Modular Neural Networks for Low-Power Image Classification on Embedded Devices.
ACM Trans. Design Autom. Electr. Syst.
Abhinav Goel, Sarah Aghajanzadeh, Caleb Tung, Shuo-Han Chen, George K. Thiruvathukal, Yung-Hsiang Lu
2020 — conf
A Survey of Methods for Low-Power Deep Learning and Computer Vision.
WF-IoT
Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
2020 J jnl
A Survey of Methods for Low-Power Deep Learning and Computer Vision.
CoRR
Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal
2020 J jnl
Analyzing Worldwide Social Distancing through Large-Scale Computer Vision.
CoRR
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
2020 B conf
Camera Placement Meeting Restrictions of Computer Vision.
ICIP
Sarah Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, George K. Thiruvathukal
2020 J jnl
Low-Power Object Counting with Hierarchical Neural Networks.
CoRR
Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
2020 A conf
Low-power object counting with hierarchical neural networks.
ISLPED
Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu
2020 J jnl
Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras.
CoRR
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
2019 — conf
Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions.
MIPR
Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu
2018 J jnl
Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions.
CoRR
Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu