Always-on vision processing unit for mobile applications B Barry, C Brick, F Connor, D Donohoe, D Moloney, R Richmond, ... IEEE Micro 35 (2), 56-66, 2015 | 153 | 2015 |
Myriad 2: Eye of the computational vision storm D Moloney, B Barry, R Richmond, F Connor, C Brick, D Donohoe 2014 IEEE Hot Chips 26 Symposium (HCS), 1-18, 2014 | 75 | 2014 |
Apparatus, systems, and methods for providing configurable computational imaging pipeline D Moloney, R Richmond, D Donohoe, B Barry, C Brick, OA Vesa US Patent 9,146,747, 2015 | 43 | 2015 |
Hybrid pruning: Thinner sparse networks for fast inference on edge devices X Xu, MS Park, C Brick arXiv preprint arXiv:1811.00482, 2018 | 34 | 2018 |
Corner detection C Brick, B Barry, F Connor, D Moloney US Patent 9,842,271, 2017 | 24 | 2017 |
Hybrid neural network pruning X Xu, MS Park, CM Brick US Patent App. 16/226,521, 2019 | 18 | 2019 |
Apparatus, systems, and methods for providing computational imaging pipeline D Moloney, C Brick, OA Vesa, B Barry US Patent 11,042,382, 2021 | 14 | 2021 |
Design considerations for edge neural network accelerators: An industry perspective A Raha, SK Kim, DA Mathaikutty, G Venkataramanan, D Mohapatra, ... 2021 34th International Conference on VLSI Design and 2021 20th …, 2021 | 14 | 2021 |
Schedule-aware tensor distribution module G Chinya, H Liu, A Raha, D Mohapatra, C Brick, L Hacking US Patent 11,907,827, 2024 | 12 | 2024 |
Neural network compression X Xu, MS Park, CM Brick US Patent App. 17/416,461, 2022 | 12 | 2022 |
Configurable processor element arrays for implementing convolutional neural networks D Mohapatra, A Raha, G Chinya, H Liu, C Brick, L Hacking US Patent App. 16/726,709, 2020 | 11 | 2020 |
Squantizer: Simultaneous learning for both sparse and low-precision neural networks MS Park, X Xu, C Brick arXiv preprint arXiv:1812.08301, 2018 | 10 | 2018 |
Special session: Approximate TinyML systems: Full system approximations for extreme energy-efficiency in intelligent edge devices A Raha, S Ghosh, D Mohapatra, DA Mathaikutty, R Sung, C Brick, ... 2021 IEEE 39th International Conference on Computer Design (ICCD), 13-16, 2021 | 8 | 2021 |
Methods and apparatus for dynamic batching of data for neural network workloads E Luk, M Elmalaki, S Almalih, C Brick US Patent App. 16/832,601, 2020 | 7 | 2020 |
Hardware accelerator for histogram of gradients R Richmond, C Brick, B Barry, D Moloney US Patent 9,483,706, 2016 | 7 | 2016 |
Efficient hardware acceleration of emerging neural networks for embedded machine learning: An industry perspective A Raha, R Sung, S Ghosh, PK Gupta, DA Mathaikutty, UI Cheema, ... Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing …, 2023 | 4 | 2023 |
Methods and apparatus for hardware-aware machine learning model training X Xu, C Brick, Z Biro US Patent App. 17/013,258, 2020 | 4 | 2020 |
Deep learning stereo vision at the edge L Puglia, C Brick arXiv preprint arXiv:2001.04552, 2020 | 4 | 2020 |
Subtraction in a viterbi decoder C Brick US Patent App. 09/904,382, 2002 | 3 | 2002 |
Minimum error detection in a viterbi decoder C Brick US Patent App. 09/904,411, 2002 | 3 | 2002 |