Publications

Found 19 results
Author Title [ Type(Asc)] Year
Filters: First Letter Of Title is L and Author is Trevor Darrell  [Clear All Filters]
Unpublished
Hoffman, J., Guadarrama S., Tzeng E., Donahue J., Girshick R., Darrell T., et al. (2014).  Large Scale Detector Adaptation.
Technical Report
Kulis, B., & Darrell T. (2009).  Learning to Hash with Binary Reconstructive Embeddings.
Miscellaneous
Vinyals, O., Jia Y., Deng L., & Darrell T. (2012).  Learning with Recursive Perceptual Representations.
Journal Article
Finn, C., Tan X. Yu, Duan Y., Darrell T., Levine S., & Abbeel P. (2015).  Learning Visual Feature Spaces for Robotic Manipulation with Deep Spatial Autoencoders. arXiv.
Song, H. Oh, Fritz M., Goehring D., & Darrell T. (2016).  Learning to Detect Visual Grasp Affordance. IEEE Transactions on Automation Science and Engineering. 13(2), 798-809.
Song, H. Oh, Fritz M., Göhring D., & Darrell T. (2015).  Learning to Detect Visual Grasp Affordance.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Learning to Compose Neural Networks for Question Answering. CoRR. abs/1601.01705,
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.
Conference Paper
Donahue, J., Hendricks L. Anne, Guadarrama S., Rohrbach M., Venugopalan S., Saenko K., et al. (2015).  Long-Term Recurrent Convolutional Networks for Visual Recognition and Description.
Urtasun, R., & Darrell T. (2008).  Local Probabilistic Regression for Activity-Independent Human Pose Inference.
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.
C. Christoudias, M., Urtasun R., Salzmann M., & Darrell T. (2010).  Learning to Recognize Objects from Unseen Modalities. 677-691.
Song, H. Oh, Girshick R., Jegelka S., Mairal J., Harchaoui Z., & Darrell T. (2014).  On Learning to Localize Objects With Minimal Supervision.
Kulis, B., & Darrell T. (2009).  Learning to Hash with Binary Reconstructive Embeddings. 1042-1050.
Feng, J., & Darrell T. (2015).  Learning The Structure of Deep Convolutional Networks. The IEEE International Conference on Computer Vision (ICCV).
Feng, J., Jegelka S., Yan S., & Darrell T. (2014).  Learning Scalable Discriminative Dictionary with Sample Relatedness.
Owens, T., Saenko K., Chakrabarti A., Xiong Y., Zickler T., & Darrell T. (2011).  Learning Object Color Models from Multi- View Constraints.
Jia, Y., Salzmann M., & Darrell T. (2011).  Learning Cross-Modality Similarity for Multinomal Data. 2407-2414.
Jia, Y., & Darrell T. (2013).  Latent Task Adaptation with Large-Scale Hierarchies.