| Enet: A deep neural network architecture for real-time semantic segmentation A Paszke, A Chaurasia, S Kim, E Culurciello arXiv preprint arXiv:1606.02147, 2016 | 3006 | 2016 |
| Linknet: Exploiting encoder representations for efficient semantic segmentation A Chaurasia, E Culurciello 2017 IEEE visual communications and image processing (VCIP), 1-4, 2017 | 1992 | 2017 |
| An analysis of deep neural network models for practical applications A Canziani, A Paszke, E Culurciello arXiv preprint arXiv:1605.07678, 2016 | 1761 | 2016 |
| Neuflow: A runtime reconfigurable dataflow processor for vision C Farabet, B Martini, B Corda, P Akselrod, E Culurciello, Y LeCun CVPR 2011 workshops, 109-116, 2011 | 541 | 2011 |
| A 240 g-ops/s mobile coprocessor for deep neural networks V Gokhale, J Jin, A Dundar, B Martini, E Culurciello Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 444 | 2014 |
| A biomorphic digital image sensor E Culurciello, R Etienne-Cummings, KA Boahen IEEE journal of solid-state circuits 38 (2), 281-294, 2003 | 441 | 2003 |
| Hardware accelerated convolutional neural networks for synthetic vision systems C Farabet, B Martini, P Akselrod, S Talay, Y LeCun, E Culurciello Proceedings of 2010 IEEE International Symposium on Circuits and Systems …, 2010 | 401 | 2010 |
| Flattened convolutional neural networks for feedforward acceleration J Jin, A Dundar, E Culurciello arXiv preprint arXiv:1412.5474, 2014 | 362 | 2014 |
| Spatially compact neural clusters in the dorsal striatum encode locomotion relevant information G Barbera, B Liang, L Zhang, CR Gerfen, E Culurciello, R Chen, Y Li, ... Neuron 92 (1), 202-213, 2016 | 355 | 2016 |
| Activity-driven, event-based vision sensors T Delbrück, B Linares-Barranco, E Culurciello, C Posch Proceedings of 2010 IEEE international symposium on circuits and systems …, 2010 | 319 | 2010 |
| Recurrent neural networks hardware implementation on FPGA AXM Chang, B Martini, E Culurciello arXiv preprint arXiv:1511.05552, 2015 | 208 | 2015 |
| Hardware accelerators for recurrent neural networks on FPGA AXM Chang, E Culurciello 2017 IEEE International symposium on circuits and systems (ISCAS), 1-4, 2017 | 150 | 2017 |
| Capacitive inter-chip data and power transfer for 3-D VLSI E Culurciello, AG Andreou IEEE Transactions on Circuits and Systems II: Express Briefs 53 (12), 1348-1352, 2006 | 146 | 2006 |
| Embedded streaming deep neural networks accelerator with applications A Dundar, J Jin, B Martini, E Culurciello IEEE transactions on neural networks and learning systems 28 (7), 1572-1583, 2016 | 145 | 2016 |
| Large-scale FPGA-based convolutional networks C Farabet, Y LeCun, K Kavukcuoglu, E Culurciello, B Martini, P Akselrod, ... Scaling up machine learning: parallel and distributed approaches 13 (3), 399-419, 2011 | 145 | 2011 |
| NeuFlow: Dataflow vision processing system-on-a-chip PH Pham, D Jelaca, C Farabet, B Martini, Y LeCun, E Culurciello 2012 IEEE 55th International Midwest Symposium on Circuits and Systems …, 2012 | 136 | 2012 |
| An analysis of deep neural network models for practical applications. arXiv 2016 A Canziani, A Paszke, E Culurciello arXiv preprint arXiv:1605.07678, 2016 | 123 | 2016 |
| Snowflake: An efficient hardware accelerator for convolutional neural networks V Gokhale, A Zaidy, AXM Chang, E Culurciello 2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017 | 120 | 2017 |
| Noise analysis and performance comparison of low current measurement systems for biomedical applications D Kim, B Goldstein, W Tang, FJ Sigworth, E Culurciello IEEE transactions on biomedical circuits and systems 7 (1), 52-62, 2012 | 114 | 2012 |
| An address-event fall detector for assisted living applications Z Fu, T Delbruck, P Lichtsteiner, E Culurciello IEEE transactions on biomedical circuits and systems 2 (2), 88-96, 2008 | 114 | 2008 |
Abhishek ChaurasiaResearch Scientist, Chaos Industries在 chaosinc.com 的电子邮件经过验证