Publications

Found 20 results
Author Title Type [ Year(Desc)]
Filters: Author is Judy Hoffman  [Clear All Filters]
2012
Hoffman, J., Saenko K., Kulis B., & Darrell T. (2012).  Discovering Latent Domains for Multisource Domain Adaptation. 702-715.
2013
Hoffman, J., Rodner E., Donahue J., Darrell T., & Saenko K. (2013).  Efficient Learning of Domain-Invariant Image Representations.
Rodner, E., Hoffman J., Donahue J., Darrell T., & Saenko K. (2013).  Scalable Transform-Based Domain Adaptation.
Donahue, J., Hoffman J., Rodner E., Saenko K., & Darrell T. (2013).  Semi-Supervised Domain Adaptation with Instance Constraints.
Rodner, E., Hoffman J., Donahue J., Darrell T., & Saenko K. (2013).  Transform-Based Domain Adaptation for Big Data.
2014
Hoffman, J., Darrell T., & Saenko K. (2014).  Continuous Manifold Based Adaptation for Evolving Visual Domains.
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.
Göhring, D., Hoffman J., Rodner E., Saenko K., & Darrell T. (2014).  Interactive Adaptation of Real-Time Object Detectors.
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
Hoffman, J., Pathak D., Darrell T., & Saenko K. (2015).  Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2883-2891.
Beijbom, O., Hoffman J., Yao E., Darrell T., Rodriguez-Ramirez A., Gonzalez-Rivero M., et al. (2015).  Quantification in-the-wild: data-sets and baselines. CoRR. abs/1510.04811,
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.
Mrowca, D., Rohrbach M., Hoffman J., Hu R., Saenko K., & Darrell T. (2015).  Spatial Semantic Regularisation for Large Scale Object Detection. The IEEE International Conference on Computer Vision (ICCV).
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., Gupta S., Leong J., Guadarrama S., & Darrell T. (2016).  Cross-modal adaptation for RGB-D detection. IEEE International Conference on Robotics and Automation (ICRA). 5032-5039.
Peng, X., Hoffman J., Yu S. X., & Saenko K. (2016).  Fine-to-Coarse Knowledge Transfer for Low-Res Image Classification. Proceedings of International Conference on Image Processing.
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.
Hoffman, J., Gupta S., & Darrell T. (2016).  Learning With Side Information Through Modality Hallucination. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 826-834.