Found 40 results
Author Title [ Type(Asc)] Year
Filters: Author is Kate Saenko  [Clear All Filters]
Conference Paper
Göhring, D., Hoffman J., Rodner E., Saenko K., & Darrell T. (2014).  Interactive Adaptation of Real-Time Object Detectors.
Sun, B., Peng X., Yu S. X., & Saenko K. (2017).  Ground2Sky Label Transfer for Fine-grained Aerial Car Recognition. Proceedings of the International Conference on Image Processing 2017.
Krishnamoorthy, N., Malkarnenkar G., Mooney R., Saenko K., & Guadarrama S. (2013).  Generating Natural-Language Video Descriptions Using Text-Mined Knowledge.
Xiong, Y., Saenko K., Darrell T., & Zickler T. (2012).  From Pixels to Physics: Probabilistic Color De-rendering.
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.
Saenko, K., & Darrell T. (2009).  Filtering Abstract Sense from Image Search Results.
Hoffman, J., Rodner E., Donahue J., Darrell T., & Saenko K. (2013).  Efficient Learning of Domain-Invariant Image Representations.
Hoffman, J., Saenko K., Kulis B., & Darrell T. (2012).  Discovering Latent Domains for Multisource Domain Adaptation. 702-715.
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.
Hendricks, L. Anne, Venugopalan S., Rohrbach M., Mooney R., Saenko K., & Darrell T. (2016).  Deep Compositional Captioning: Describing Novel Object Categories Without Paired Training Data. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 1-10.
Hoffman, J., Darrell T., & Saenko K. (2014).  Continuous Manifold Based Adaptation for Evolving Visual Domains.
Janoch, A., Karayev S., Jia Y., Barron J. T., Fritz M., Saenko K., et al. (2011).  A Category-Level 3-D Object Dataset: Putting the Kinect to Work. 1168-1174.
Livescu, K., etin Ö. Ç., Hasegawa-Johnson M., King S., Bartels C., Borges N., et al. (2007).  Articulatory Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition: Summary from the 2006 Jhu Summer Workshop.
Saenko, K., Kulis B., Fritz M., & Darrell T. (2010).  Adapting Visual Category Models to New Domains. 213-226.
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).