Michael R. Piacentino

According to our database, Michael R. Piacentino authored at least 16 papers between 1999 and 2024.

Collaborative distances:

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

2024

Data-Driven Pixel Control: Challenges and Prospects.

Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang

CoRR, 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

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran

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

Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2.

Zachary Alan Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran, Roberto Corizzo, Kamil Faber, Nathalie Japkowicz, Michael Baron, James Seale Smith, Sahana Pramod Joshi, Zsolt Kira, Cameron Ethan Taylor, Mustafa Burak Gurbuz, Constantine Dovrolis, Tyler L. Hayes, Christopher Kanan, Jhair Gallardo

Proceedings of the Conference on Lifelong Learning Agents, 2022

System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games.

Indranil Sur, Zachary Daniels, Abrar Rahman, Kamil Faber, Gianmarco J. Gallardo, Tyler L. Hayes, Cameron E. Taylor, Mustafa Burak Gurbuz, James Seale Smith, Sahana Pramod Joshi, Nathalie Japkowicz, Michael Baron, Zsolt Kira, Christopher Kanan, Roberto Corizzo, Ajay Divakaran, Michael R. Piacentino, Jesse Hostetler, Aswin Raghavan

Proceedings of the Second International Conference on AI-ML Systems, 2022

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

2013

An Embedded Vision Services Framework for Heterogeneous Accelerators.

Eduardo Gudis, Pullan Lu, David Berends, Kevin Kaighn, Gooitzen S. van der Wal, Gregory Buchanan, Sek M. Chai, Michael R. Piacentino

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013

2006

An FPGA-Based Verification Framework for Real-Time Vision Systems.

Gooitzen S. van der Wal, Frederic Brehm, Michael R. Piacentino, James Marakowitz, Eduardo Gudis, Azhar A. Sufi, James Montante

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2006

2000

The Acadia Vision Processor.

Gooitzen S. van der Wal, Michael W. Hansen, Michael R. Piacentino

Proceedings of the Fifth International Workshop on Computer Architectures for Machine Perception (CAMP 2000), 2000

1999

Reconfigurable Elements for a Video Pipeline Processor.

Michael R. Piacentino, Gooitzen S. van der Wal, Michael W. Hansen

Proceedings of the 7th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM '99), 1999