David C. Zhang

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 12

Top Topics

Subband Decomposition

Top Venues

Publications

Jun Hu, Phil Miller, Michael Lomnitz, Saurabh Farkya, Emre Yilmaz, Aswin Raghavan, David C. Zhang, Michael R. Piacentino
Tools Identification By On-Board Adaptation of Vision-and-Language Models. AAAI (2024)
Michael Lomnitz, Zachary Daniels, Saurabh Farkya, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino
Learning with Local Gradients at the Edge. SMC (2023)
Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael Piacentino, David C. Zhang
Efficient Model Adaptation for Continual Learning at the Edge. CoRR (2023)
Saurabh Farkya, Zachary Daniels, Aswin Nadamuni Raghavan, David C. Zhang, Michael R. Piacentino
Saccade Mechanisms for Image Classification, Object Detection and Tracking. CoRR (2022)
Michael Lomnitz, Zachary Daniels, David C. Zhang, Michael R. Piacentino
Learning with Local Gradients at the Edge. CoRR (2022)
David C. Zhang, Gooitzen van der Wal, Saurabh Farkya, Thomas Senko, Aswin Raghavan, Michael A. Isnardi, Michael R. Piacentino
Low-power In-pixel Computing with Current-modulated Switched Capacitors. CoRR (2022)
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
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CoRR (2022)
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
Real-time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators. CVPR Workshops (2022)
Jaeha Kung, David C. Zhang, Gooitzen S. van der Wal, Sek M. Chai, Saibal Mukhopadhyay
Efficient Object Detection Using Embedded Binarized Neural Networks. J. Signal Process. Syst. 90 (6) (2018)
Sek M. Chai, Aswin Raghavan, David C. Zhang, Mohamed R. Amer, Timothy J. Shields
Low Precision Neural Networks using Subband Decomposition. CoRR (2017)
Aswin Raghavan, Mohamed R. Amer, Timothy J. Shields, David C. Zhang, Sek M. Chai
GPU Activity Prediction using Representation Learning. CoRR (2017)
David C. Zhang, Giorgos Kopanas, Chaitanya Desai, Sek M. Chai, Michael R. Piacentino
Unsupervised underwater fish detection fusing flow and objectiveness. WACV Workshops (2016)
Gooitzen S. van der Wal, David C. Zhang, Indu Kandaswamy, James Marakowitz, Kevin Kaighn, Joe Zhang, Sek M. Chai
FPGA acceleration for feature based processing applications. CVPR Workshops (2015)
Shunguang Wu, David C. Zhang, Yuzheng Zhang, James Basso, Michael Melle
Adaptive smoothing in real-time image stabilization. Visual Information Processing (2012)
David C. Zhang, Sek M. Chai, Gooitzen S. van der Wal
Method of image fusion and enhancement using mask pyramid. FUSION (2011)
Azhar A. Sufi, David C. Zhang, Gooitzen S. van der Wal
A single algorithm combining exposure and focus fusion. ICIP (2011)
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
Macroelectronics: Perspectives on Technology and Applications. Proc. IEEE 93 (7) (2005)