David C. Zhang

19 papers A* 1B 2C 1Journal 10Unranked 5
YearRankTypeTitle / Venue / Authors
2024 — conf
Data-Driven Pixel Control: Challenges and Prospects.
DDDAS/Infosymbiotics
Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang
2024 J jnl
Data-Driven Pixel Control: Challenges and Prospects.
CoRR
Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang
2024 A* conf
Tools Identification By On-Board Adaptation of Vision-and-Language Models.
AAAI
Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz, Aswin Raghavan, David C. Zhang, Michael R. Piacentino
2023 J jnl
Efficient Model Adaptation for Continual Learning at the Edge.
CoRR
Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael R. Piacentino, David C. Zhang
2023 B conf
Learning with Local Gradients at the Edge.
SMC
Michael Lomnitz, Zachary Daniels, Saurabh Farkya, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino
2022 J jnl
Learning with Local Gradients at the Edge.
CoRR
Michael Lomnitz, Zachary Daniels, David C. Zhang, Michael R. Piacentino
2022 J jnl
Low-power In-pixel Computing with Current-modulated Switched Capacitors.
CoRR
David C. Zhang, Gooitzen van der Wal, Saurabh Farkya, Thomas Senko, Aswin Raghavan, Michael A. Isnardi, Michael R. Piacentino
2022 — conf
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators.
CVPR Workshops
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
2022 J jnl
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators.
CoRR
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
2022 J jnl
Saccade Mechanisms for Image Classification, Object Detection and Tracking.
CoRR
Saurabh Farkya, Zachary Daniels, Aswin Nadamuni Raghavan, David C. Zhang, Michael R. Piacentino
2018 J jnl
Efficient Object Detection Using Embedded Binarized Neural Networks.
J. Signal Process. Syst.
Jaeha Kung, David C. Zhang, Gooitzen S. van der Wal, Sek M. Chai, Saibal Mukhopadhyay
2017 J jnl
GPU Activity Prediction using Representation Learning.
CoRR
Aswin Raghavan, Mohamed R. Amer, Timothy J. Shields, David C. Zhang, Sek M. Chai
2017 J jnl
Low Precision Neural Networks using Subband Decomposition.
CoRR
Sek M. Chai, Aswin Raghavan, David C. Zhang, Mohamed R. Amer, Timothy J. Shields
2016 — conf
Unsupervised underwater fish detection fusing flow and objectiveness.
WACV Workshops
David C. Zhang, Giorgos Kopanas, Chaitanya Desai, Sek M. Chai, Michael R. Piacentino
2015 — conf
FPGA acceleration for feature based processing applications.
CVPR Workshops
Gooitzen S. van der Wal, David C. Zhang, Indu Kandaswamy, James Marakowitz, Kevin Kaighn, Joe Zhang, Sek M. Chai
2012 — conf
Adaptive smoothing in real-time image stabilization.
Visual Information Processing
Shunguang Wu, David C. Zhang, Yuzheng Zhang, James Basso, Michael Melle
2011 B conf
A single algorithm combining exposure and focus fusion.
ICIP
Azhar A. Sufi, David C. Zhang, Gooitzen S. van der Wal
2011 C conf
Method of image fusion and enhancement using mask pyramid.
FUSION
David C. Zhang, Sek M. Chai, Gooitzen S. van der Wal
2005 J jnl
Macroelectronics: Perspectives on Technology and Applications.
Proc. IEEE
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