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 (IROS, 2011)

Caffe: Convolutional Architecture for Fast Feature Embedding. - Yangqing Jia; Evan Shelhamer; Jeff Donahue; Sergey Karayev; Jonathan Long; Ross B. Girshick; Sergio Guadarrama; Trevor Darrell (ACM Multimedia, 2014)

Do Convnets Learn Correspondence? - Jonathan Long; Ning Zhang 014; Trevor Darrell (NIPS, 2014)

Fully Convolutional Multi-Class Multiple Instance Learning. - Deepak Pathak; Evan Shelhamer; Jonathan Long; Trevor Darrell (ICLR (Workshop), 2015)

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)

Understanding and Designing Convolutional Networks for Local Recognition Problems. - Jonathan Long (2016)

Fully Convolutional Networks for Semantic Segmentation. - Evan Shelhamer; Jonathan Long; Trevor Darrell (IEEE Trans. Pattern Anal. Mach. Intell., 2017)