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Jonghoon Jin
Jonghoon Jin
Machine learning engineer
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Title
Cited by
Cited by
Year
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
4252014
Flattened Convolutional Neural Networks for Feedforward Acceleration
J Jin, A Dundar, E Culurciello
arXiv preprint arXiv:1412.5474, 2014
3262014
Embedded Streaming Deep Neural Networks Accelerator With Applications.
A Dundar, J Jin, B Martini, E Culurciello
IEEE transactions on neural networks and learning systems, 2016
1352016
Convolutional Clustering for Unsupervised Learning
A Dundar, J Jin, E Culurciello
arXiv preprint arXiv:1511.06241, 2015
892015
Robust Convolutional Neural Networks under Adversarial Noise
J Jin, A Dundar, E Culurciello
arXiv preprint arXiv:1511.06306, 2015
852015
An efficient implementation of deep convolutional neural networks on a mobile coprocessor
J Jin, V Gokhale, A Dundar, B Krishnamurthy, B Martini, E Culurciello
2014 IEEE 57th International Midwest Symposium on Circuits and Systems …, 2014
672014
Tracking with deep neural networks
J Jin, A Dundar, J Bates, C Farabet, E Culurciello
2013 47th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2013
612013
Memory Access Optimized Routing Scheme for Deep Networks on a Mobile Coprocessor
A Dundar, J Jin, V Gokhale, B Martini, E Culurciello
IEEE High Performance Extreme Computing Conference (HPEC), 2014
332014
Accelerating deep neural networks on mobile processor with embedded programmable logic
A Dundar, J Jin, V Gokhale, B Krishnamurthy, A Canziani, B Martini, ...
Neural information processing systems conference (NIPS), 2013
292013
Computing architecture with co-processor
E Culurciello, BE Martini, VA Gokhale, J Jin, A Dundar
US Patent App. 10/157,156, 2018
28*2018
An Analysis of the Connections Between Layers of Deep Neural Networks
E Culurciello, J Jin, A Dundar, J Bates
arXiv preprint arXiv:1306.0152, 2013
172013
Visual Tracking with Similarity Matching Ratio
A Dundar, J Jin, E Culurciello
Proceedings of the International Conference on Computer Vision Theory and …, 2013
82013
Fast and robust convolutional neural networks optimized for embedded platforms
J Jin
Purdue University, 2016
2016
Model-free Method of Reinforcement Learning for Visual Tasks
JS Soldate, J JIn, E Culurciello
2014
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Articles 1–14