Jonathan Long

According to our database, Jonathan Long authored at least 7 papers between 2011 and 2017.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2017

Fully Convolutional Networks for Semantic Segmentation.

Evan Shelhamer, Jonathan Long, Trevor Darrell

IEEE Trans. Pattern Anal. Mach. Intell., 2017

2016

Understanding and Designing Convolutional Networks for Local Recognition Problems.

Jonathan Long

PhD thesis, 2016

Large Scale Visual Recognition through Adaptation using Joint Representation and Multiple Instance Learning.

Judy Hoffman, Deepak Pathak, Eric Tzeng, Jonathan Long, Sergio Guadarrama, Trevor Darrell, Kate Saenko

J. Mach. Learn. Res., 2016

2015

Fully Convolutional Multi-Class Multiple Instance Learning.

Deepak Pathak, Evan Shelhamer, Jonathan Long, Trevor Darrell

Proceedings of the 3rd International Conference on Learning Representations, 2015

2014

Do Convnets Learn Correspondence?

Jonathan Long, Ning Zhang, Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Caffe: Convolutional Architecture for Fast Feature Embedding.

Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell

Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

2011

Practical 3-D object detection using category and instance-level appearance models.

Kate Saenko, Sergey Karayev, Yangqing Jia, Alex Shyr, Allison Janoch, Jonathan Long, Mario Fritz, Trevor Darrell

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011