Publications

Found 7 results
Author Title Type [ Year(Desc)]
Filters: Author is Eric Tzeng  [Clear All Filters]
2014
Donahue, J., Jia Y., Vinyals O., Hoffman J., Zhang N., Tzeng E., et al. (2014).  DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
Hoffman, J., Guadarrama S., Tzeng E., Donahue J., Girshick R., Darrell T., et al. (2014).  Large Scale Detector Adaptation.
Hoffman, J., Tzeng E., Donahue J., Jia Y., Saenko K., & Darrell T. (2014).  One-Shot Adaptation of Supervised Deep Convolutional Models.
2015
Tzeng, E., Hoffman J., Darrell T., & Saenko K. (2015).  Simultaneous Deep Transfer Across Domains and Tasks. The IEEE International Conference on Computer Vision (ICCV). 4068-4076.
Tzeng, E., Devin C., Hoffman J., Finn C., Peng X., Levine S., et al. (2015).  Towards Adapting Deep Visuomotor Representations from Simulated to Real Environments. CoRR. abs/1511.07111,
2016
Tzeng, E., Devin C., Hoffman J., Finn C., Abbeel P., Levine S., et al. (2016).  Adapting deep visuomotor representations with weak pairwise constraints. Workshop on the Algorithmic Foundations of Robotics (WAFR).
Hoffman, J., Pathak D., Tzeng E., Long J., Guadarrama S., Darrell T., et al. (2016).  Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res.. 17, 4954–4984.