| Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics TM Hong, BT Carlson, BR Eubanks, ST Racz, ST Roche, J Stelzer, ... Journal of Instrumentation 16 (08), P08016, 2021 | 24* | 2021 |
| Harms: A hardware acceleration architecture for real-time event-based optical flow DC Stumpp, H Akolkar, AD George, RB Benosman IEEE Access 10, 58181-58198, 2022 | 8 | 2022 |
| Optimization and Hardware Acceleration of Event-Based Optical Flow for Real-Time Processing and Compression on Embedded Platforms DC Stumpp University of Pittsburgh, 2022 | 1 | 2022 |
| Flow-Based Visual Stream Compression for Event Cameras DC Stumpp, H Akolkar, AD George, R Benosman arXiv preprint arXiv:2403.08086, 2024 | | 2024 |
| Nanosecond execution of machine learning algorithms and nanosecond anomaly detection and encoded data transmission using autoencoders with decision tree grid in field … TM Hong, BT Carlson, JH Stelzer, ST Roche, ST Racz, DC Stumpp, ... US Patent App. 18/264,877, 2024 | | 2024 |
| Efficient and Low-Footprint Object Classification using Spatial Contrast M Belding, DC Stumpp, R Kubendran arXiv preprint arXiv:2311.03422, 2023 | | 2023 |
| Point-Source Target Detection and Localization in Single-Frame Infrared Imagery DC Stumpp, AJ Byrne, AD George 2023 IEEE Aerospace Conference, 1-11, 2023 | | 2023 |
| Hadronic algorithm firmware implementation and testbench for the Global Event Processor trigger subsystem for HL-LHC Upgrade at ATLAS~[TDAQ] D Stumpp, DL Yao, PTM Hong Bulletin of the American Physical Society 65, 2020 | | 2020 |
