David C. Zhang

According to our database, David C. Zhang authored at least 16 papers between 2005 and 2024.

Collaborative distances:

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

2024

Tools Identification By On-Board Adaptation of Vision-and-Language Models.

Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz, Aswin Raghavan, David C. Zhang, Michael R. Piacentino

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Efficient Model Adaptation for Continual Learning at the Edge.

Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael R. Piacentino, David C. Zhang

CoRR, 2023

Learning with Local Gradients at the Edge.

Michael Lomnitz, Zachary Daniels, Saurabh Farkya, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

2022

Low-power In-pixel Computing with Current-modulated Switched Capacitors.

David C. Zhang, Gooitzen van der Wal, Saurabh Farkya, Thomas Senko, Aswin Raghavan, Michael A. Isnardi, Michael R. Piacentino

CoRR, 2022

Learning with Local Gradients at the Edge.

Michael Lomnitz, Zachary Daniels, David C. Zhang, Michael R. Piacentino

CoRR, 2022

Saccade Mechanisms for Image Classification, Object Detection and Tracking.

Saurabh Farkya, Zachary Daniels, Aswin Nadamuni Raghavan, David C. Zhang, Michael R. Piacentino

CoRR, 2022

Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators.

Indhumathi Kandaswamy, Saurabh Farkya, Zachary Daniels, Gooitzen van der Wal, Aswin Raghavan, Yuzheng Zhang, Jun Hu, Michael Lomnitz, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2018

Efficient Object Detection Using Embedded Binarized Neural Networks.

Jaeha Kung, David C. Zhang, Gooitzen S. van der Wal, Sek M. Chai, Saibal Mukhopadhyay

J. Signal Process. Syst., 2018

2017

GPU Activity Prediction using Representation Learning.

Aswin Raghavan, Mohamed R. Amer, Timothy J. Shields, David C. Zhang, Sek M. Chai

CoRR, 2017

Low Precision Neural Networks using Subband Decomposition.

Sek M. Chai, Aswin Raghavan, David C. Zhang, Mohamed R. Amer, Timothy J. Shields

CoRR, 2017

2016

Unsupervised underwater fish detection fusing flow and objectiveness.

David C. Zhang, Giorgos Kopanas, Chaitanya Desai, Sek M. Chai, Michael R. Piacentino

Proceedings of the 2016 IEEE Winter Applications of Computer Vision Workshops, 2016

2015

FPGA acceleration for feature based processing applications.

Gooitzen S. van der Wal, David C. Zhang, Indu Kandaswamy, James Marakowitz, Kevin Kaighn, Joe Zhang, Sek M. Chai

Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2015

2012

Adaptive smoothing in real-time image stabilization.

Shunguang Wu, David C. Zhang, Yuzheng Zhang, James Basso, Michael Melle

Proceedings of the Visual Information Processing XXI, 2012

2011

A single algorithm combining exposure and focus fusion.

Azhar A. Sufi, David C. Zhang, Gooitzen S. van der Wal

Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Method of image fusion and enhancement using mask pyramid.

David C. Zhang, Sek M. Chai, Gooitzen S. van der Wal

Proceedings of the 14th International Conference on Information Fusion, 2011

2005

Macroelectronics: Perspectives on Technology and Applications.

Robert H. Reuss, Babu Chalamala, Alina Moussessian, Michael G. Kane, Amrita Kumar, David C. Zhang, John A. Rogers, Miltos Hatalis, Dorota Temple, Garret Moddel, Blake J. Eliasson, Michael J. Estes, Joseph Kunze, Erik S. Handy, Eric S. Harmon, David B. Salzman, Jerry M. Woodall, M. Ashraf Alam, Jayathi Y. Murthy, Stephen C. Jacobsen, Marc Olivier, David Markus, Paul M. Campbell, Eric Snow

Proc. IEEE, 2005