Are buildings only instances?: exploration in architectural style categories. - Abhinav Goel; Mayank Juneja; C. V. Jawahar (ICVGIP, 2012)

Efficient Category Mining by Leveraging Instance Retrieval. - Abhinav Goel; Mayank Juneja; C. V. Jawahar (CVPR Workshops, 2013)

Secured and energy efficient architecture for sensor networks. - Jetendra Joshi; Amrit Bagga; Abhinandan Bhargava; Abhinav Goel; Divya Sara Kurian; Urijit Kurulkar (CIVEMSA, 2016)

RFID sensor network based pervasive computing. - Jetendra Joshi; Abhinandan Bhargava; Urijit Kurulkar; Joshitha Reddy; Amrit Bagga; Abhinav Goel; Pranith Reddy (ICUFN, 2016)

CompactNet: High Accuracy Deep Neural Network Optimized for On-Chip Implementation. - Abhinav Goel; Zeye Liu 001; Ronald D. Blanton (IEEE BigData, 2018)

Robustness of the Counting Rule for Distributed Detection in Wireless Sensor Networks. - Abhinav Goel; Adarsh Patel; Kyatsandra G. Nagananda; Pramod K. Varshney (IEEE Signal Process. Lett., 2018)

Low-Power Computer Vision: Status, Challenges, Opportunities. - Sergei Alyamkin; Matthew Ardi; Alexander C. Berg; Achille Brighton; Bo Chen 019; Yiran Chen 001; Hsin-Pai Cheng; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Abhinav Goel; et al. (CoRR, 2019)

Low-Power Computer Vision: Status, Challenges, and Opportunities. - Sergei Alyamkin; Matthew Ardi; Alexander C. Berg; Achille Brighton; Bo Chen 019; Yiran Chen 001; Hsin-Pai Cheng; Zichen Fan; Chen Feng; Bo Fu; Kent Gauen; Abhinav Goel; et al. (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Camera Placement Meeting Restrictions of Computer Vision. - Sarah Aghajanzadeh; Roopasree Naidu; Shuo-Han Chen; Caleb Tung; Abhinav Goel; Yung-Hsiang Lu; George K. Thiruvathukal (ICIP, 2020)

Low-power object counting with hierarchical neural networks. - Abhinav Goel; Caleb Tung; Sarah Aghajanzadeh; Isha Ghodgaonkar; Shreya Ghosh 003; George K. Thiruvathukal; Yung-Hsiang Lu (ISLPED, 2020)

A Survey of Methods for Low-Power Deep Learning and Computer Vision. - Abhinav Goel; Caleb Tung; Yung-Hsiang Lu; George K. Thiruvathukal (WF-IoT, 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; et al. (CoRR, 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; et al. (CoRR, 2020)

Dynamic Adjustment of Concurrent Neural Networks within Limited Power Thermal Constraints in Autonomous Driving. - Hee Jun Park; Abhinav Goel (ICMLA, 2021)

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks. - Abhinav Goel; Caleb Tung; Xiao Hu 004; Haobo Wang; James C. Davis 001; George K. Thiruvathukal; Yung-Hsiang Lu (ISLPED, 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)

Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision. - Caleb Tung; Abhinav Goel; Xiao Hu 004; Nick Eliopoulos; Emmanuel S. Amobi; George K. Thiruvathukal; Vipin Chaudhary; Yung-Hsiang Lu (AICAS, 2022)

Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks. - Abhinav Goel; Caleb Tung; Xiao Hu 004; George K. Thiruvathukal; James C. Davis 001; Yung-Hsiang Lu (ASP-DAC, 2022)

Directed Acyclic Graph-based Neural Networks for Tunable Low-Power Computer Vision. - Abhinav Goel; Caleb Tung; Nick Eliopoulos; Xiao Hu 004; George K. Thiruvathukal; James C. Davis 001; Yung-Hsiang Lu (ISLPED, 2022)

Establishing trust in vehicle-to-vehicle coordination: a sensor fusion approach. - Jakob Veselsky; Jack West; Isaac Ahlgren; George K. Thiruvathukal; Neil Klingensmith; Abhinav Goel; Wenxin Jiang 001; James C. Davis 001; Kyuin Lee; Younghyun Kim 001 (HotMobile, 2022)

Why Accuracy is Not Enough: The Need for Consistency in Object Detection. - Caleb Tung; Abhinav Goel; Fischer Bordwell; Nick Eliopoulos; Xiao Hu 004; Yung-Hsiang Lu; George K. Thiruvathukal (IEEE Multim., 2022)

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; et al. (Computer, 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 001 (IEEE Des. Test, 2023)

Decaying inventory model with different rates and varying costs under preservation technology investment. - Abhinav Goel; Anshika Singh (Int. J. Math. Oper. Res., 2024)

Challenges and practices of deep learning model reengineering: A case study on computer vision. - Wenxin Jiang 001; Vishnu Banna; Naveen Vivek; Abhinav Goel; Nicholas Synovic; George K. Thiruvathukal; James C. Davis 001 (Empir. Softw. Eng., 2024)

Impact of economic and socio-political risk factors on sovereign credit ratings. - Abhinav Goel; Archana Singh (Inf. Process. Manag., 2025)

Improving the Reproducibility of Deep Learning Software: An Initial Investigation through a Case Study Analysis. - Nikita Ravi; Abhinav Goel; James C. Davis 001; George K. Thiruvathukal (CoRR, 2025)