Jonathan Long

Publication Activity (10 Years)

Years Active: 2011-2017
Publications (10 Years): 3

Top Venues

CoRR

ACM Multimedia

NIPS

J. Mach. Learn. Res.

University of California, Berkeley, USA (PHD)

Education History

University of California, Berkeley, USA

PHD

Publications

Evan Shelhamer, Jonathan Long, Trevor Darrell
Fully Convolutional Networks for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 39 (4) (2017)
Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko
Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res. 17 (2016)
Evan Shelhamer, Jonathan Long, Trevor Darrell
Fully Convolutional Networks for Semantic Segmentation. CoRR (2016)
Jonathan Long, Evan Shelhamer, Trevor Darrell
Fully convolutional networks for semantic segmentation. CVPR (2015)
Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell
Fully Convolutional Multi-Class Multiple Instance Learning. ICLR (Workshop) (2015)
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
Caffe: Convolutional Architecture for Fast Feature Embedding. ACM Multimedia (2014)
Jonathan Long, Ning Zhang, Trevor Darrell
Do Convnets Learn Correspondence? CoRR (2014)
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell
Caffe: Convolutional Architecture for Fast Feature Embedding. CoRR (2014)
Jonathan Long, Ning Zhang, Trevor Darrell
Do Convnets Learn Correspondence? NIPS (2014)
Jonathan Long, Evan Shelhamer, Trevor Darrell
Fully Convolutional Networks for Semantic Segmentation. CoRR (2014)
Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell
Practical 3-D object detection using category and instance-level appearance models. IROS (2011)

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Publication Activity (10 Years)

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Jonathan Long