Caleb Tung

According to our database, Caleb Tung authored at least 18 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions.

Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Cheng-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu

Proceedings of the 29th Asia and South Pacific Design Automation Conference, 2024

2023

Tree-Based Unidirectional Neural Networks for Low-Power Computer Vision.

Abhinav Goel, Caleb Tung, Nick Eliopoulos, George K. Thiruvathukal, Amy Wang, Yung-Hsiang Lu, James C. Davis

IEEE Des. Test, June, 2023

Observing Human Mobility Internationally During COVID-19.

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

Computer, March, 2023

An automated approach for improving the inference latency and energy efficiency of pretrained CNNs by removing irrelevant pixels with focused convolutions.

Caleb Tung, Nicholas Eliopoulos, Purvish Jajal, Gowri Ramshankar, Chen-Yun Yang, Nicholas Synovic, Xuecen Zhang, Vipin Chaudhary, George K. Thiruvathukal, Yung-Hsiang Lu

CoRR, 2023

2022

Why Accuracy is Not Enough: The Need for Consistency in Object Detection.

Caleb Tung, Abhinav Goel, Fischer Bordwell, Nick Eliopoulos, Xiao Hu, Yung-Hsiang Lu, George K. Thiruvathukal

IEEE Multim., 2022

Restructurable Activation Networks.

Kartikeya Bhardwaj, James Ward, Caleb Tung, Dibakar Gope, Lingchuan Meng, Igor Fedorov, Alex Chalfin, Paul N. Whatmough, Danny Loh

CoRR, 2022

Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision.

Abhinav Goel, Caleb Tung, Nick Eliopoulos, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu

Proceedings of the ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1, 2022

Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks.

Abhinav Goel, Caleb Tung, Xiao Hu, George K. Thiruvathukal, James C. Davis, Yung-Hsiang Lu

Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision.

Caleb Tung, Abhinav Goel, Xiao Hu, Nick Eliopoulos, Emmanuel S. Amobi, George K. Thiruvathukal, Vipin Chaudhary, Yung-Hsiang Lu

Proceedings of the 4th IEEE International Conference on Artificial Intelligence Circuits and Systems, 2022

2021

Modular Neural Networks for Low-Power Image Classification on Embedded Devices.

Abhinav Goel, Sarah Aghajanzadeh, Caleb Tung, Shuo-Han Chen, George K. Thiruvathukal, Yung-Hsiang Lu

ACM Trans. Design Autom. Electr. Syst., 2021

A replication of 'DeepBugs: a learning approach to name-based bug detection'.

Jordan Winkler, Abhimanyu Agarwal, Caleb Tung, Dario Rios Ugalde, Young Jin Jung, James C. Davis

Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks.

Abhinav Goel, Caleb Tung, Xiao Hu, Haobo Wang, James C. Davis, George K. Thiruvathukal, Yung-Hsiang Lu

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

2020

Analyzing Worldwide Social Distancing through Large-Scale Computer Vision.

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

CoRR, 2020

Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras.

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

CoRR, 2020

A Survey of Methods for Low-Power Deep Learning and Computer Vision.

Abhinav Goel, Caleb Tung, Yung-Hsiang Lu, George K. Thiruvathukal

Proceedings of the 6th IEEE World Forum on Internet of Things, 2020

Low-power object counting with hierarchical neural networks.

Abhinav Goel, Caleb Tung, Sarah Aghajanzadeh, Isha Ghodgaonkar, Shreya Ghosh, George K. Thiruvathukal, Yung-Hsiang Lu

Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

Camera Placement Meeting Restrictions of Computer Vision.

Sarah Aghajanzadeh, Roopasree Naidu, Shuo-Han Chen, Caleb Tung, Abhinav Goel, Yung-Hsiang Lu, George K. Thiruvathukal

Proceedings of the IEEE International Conference on Image Processing, 2020

2019

Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions.

Caleb Tung, Matthew R. Kelleher, Ryan J. Schlueter, Binhan Xu, Yung-Hsiang Lu, George K. Thiruvathukal, Yen-Kuang Chen, Yang Lu

Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019