Reconfigurable Elements for a Video Pipeline Processor. - Michael R. Piacentino; Gooitzen S. van der Wal; Michael W. Hansen (FCCM, 1999)

The Acadia Vision Processor. - Gooitzen S. van der Wal; Michael W. Hansen; Michael R. Piacentino (CAMP, 2000)

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 (CVPR Workshops, 2006)

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 (CVPR Workshops, 2013)

Unsupervised underwater fish detection fusing flow and objectiveness. - David C. Zhang; Giorgos Kopanas; Chaitanya Desai; Sek M. Chai; Michael R. Piacentino (WACV Workshops, 2016)

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; et al. (AIMLSystems, 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; et al. (CoLLAs, 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 (CVPR Workshops, 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)

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)

Learning with Local Gradients at the Edge. - Michael Lomnitz; Zachary Daniels; David C. Zhang; Michael R. Piacentino (CoRR, 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; Saurabh Farkya; Michael A. Isnardi; David C. Zhang; Michael R. Piacentino (SMC, 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)

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 (AAAI, 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)