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2020 – today
- 2024
[c10]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: 23799-23801- [i8]Saurabh Farkya, Zachary Alan Daniels, Aswin Raghavan, Gooitzen van der Wal, Michael A. Isnardi, Michael R. Piacentino, David C. Zhang:
Data-Driven Pixel Control: Challenges and Prospects. CoRR abs/2408.04767 (2024) - 2023
- [c9]Michael Lomnitz, Zachary Daniels, Saurabh Farkya, Michael A. Isnardi, David C. Zhang, Michael R. Piacentino:
Learning with Local Gradients at the Edge. SMC 2023: 3146-3151 - [i7]Zachary A. Daniels, Jun Hu, Michael Lomnitz, Phil Miller, Aswin Raghavan, Joe Zhang, Michael R. Piacentino, David C. Zhang:
Efficient Model Adaptation for Continual Learning at the Edge. CoRR abs/2308.02084 (2023) - 2022
- [c8]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:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. AIMLSystems 2022: 12:1-12:9 - [c7]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:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoLLAs 2022: 1120-1145 - [c6]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: 3609-3617 - [i6]Saurabh Farkya, Zachary Daniels, Aswin Nadamuni Raghavan, David C. Zhang, Michael R. Piacentino:
Saccade Mechanisms for Image Classification, Object Detection and Tracking. CoRR abs/2206.05102 (2022) - [i5]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 abs/2206.05128 (2022) - [i4]Zachary Daniels, Aswin Raghavan, Jesse Hostetler, Abrar Rahman, Indranil Sur, Michael R. Piacentino, Ajay Divakaran:
Model-Free Generative Replay for Lifelong Reinforcement Learning: Application to Starcraft-2. CoRR abs/2208.05056 (2022) - [i3]Michael Lomnitz, Zachary Daniels, David C. Zhang, Michael R. Piacentino:
Learning with Local Gradients at the Edge. CoRR abs/2208.08503 (2022) - [i2]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 abs/2210.07826 (2022) - [i1]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:
System Design for an Integrated Lifelong Reinforcement Learning Agent for Real-Time Strategy Games. CoRR abs/2212.04603 (2022)
2010 – 2019
- 2016
- [c5]David C. Zhang, Giorgos Kopanas, Chaitanya Desai, Sek M. Chai, Michael R. Piacentino:
Unsupervised underwater fish detection fusing flow and objectiveness. WACV Workshops 2016: 1-7 - 2013
- [c4]Eduardo Gudis, Pullan Lu, David Berends, Kevin Kaighn, Gooitzen S. van der Wal, Gregory Buchanan, Sek M. Chai, Michael R. Piacentino:
An Embedded Vision Services Framework for Heterogeneous Accelerators. CVPR Workshops 2013: 598-603
2000 – 2009
- 2006
- [c3]Gooitzen S. van der Wal, Frederic Brehm, Michael R. Piacentino, James Marakowitz, Eduardo Gudis, Azhar A. Sufi, James Montante:
An FPGA-Based Verification Framework for Real-Time Vision Systems. CVPR Workshops 2006: 124 - 2000
- [c2]Gooitzen S. van der Wal, Michael W. Hansen, Michael R. Piacentino:
The Acadia Vision Processor. CAMP 2000: 31-40
1990 – 1999
- 1999
- [c1]Michael R. Piacentino, Gooitzen S. van der Wal, Michael W. Hansen:
Reconfigurable Elements for a Video Pipeline Processor. FCCM 1999: 82-91
Coauthor Index
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