Publications

Found 132 results
Author Title [ Type(Desc)] Year
Filters: Author is Trevor Darrell  [Clear All Filters]
Conference Paper
Hoffman, J., Rodner E., Donahue J., Darrell T., & Saenko K. (2013).  Efficient Learning of Domain-Invariant Image Representations.
Quattoni, A., Carreras X.., Collins M., & Darrell T. (2009).  An Efficient Projection for L-1/L-Infinity Regularization.
Jia, Y., Salzmann M., & Darrell T. (2010).  Factorized Latent Spaces with Structured Sparsity. 982-990.
Virtanen, S., Jia Y., Klami A., & Darrell T. (2012).  Factorized Multi-Modal Topic Model.
Salzmann, M., Ek C. Henrik, Urtasun R., & Darrell T. (2010).  Factorized Orthogonal Latent Spaces. 701-708.
Yeh, T., Lee J. J., & Darrell T. (2009).  Fast Concurrent Object Localization and Recognition. 280-287.
Saenko, K., & Darrell T. (2009).  Filtering Abstract Sense from Image Search Results.
Eden, A., C. Christoudias M., & Darrell T. (2011).  Finding Lost Children.
Xiong, Y., Saenko K., Darrell T., & Zickler T. (2012).  From Pixels to Physics: Probabilistic Color De-rendering.
Long, J., Shelhamer E., & Darrell T. (2015).  Fully Convolutional Networks for Semantic Segmentation. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 3431-3440.
Guadarrama, S., Riano L., Golland D., Göhring D., Jia Y., Klein D., et al. (2013).  Grounding Spatial Relations for Human-Robot Interaction.
Jia, Y., & Darrell T. (2011).  Heavy-Tailed Distances for Gradient Based Image Descriptors.
Göhring, D., Hoffman J., Rodner E., Saenko K., & Darrell T. (2014).  Interactive Adaptation of Real-Time Object Detectors.
Jia, Y., & Darrell T. (2013).  Latent Task Adaptation with Large-Scale Hierarchies.
Jia, Y., Salzmann M., & Darrell T. (2011).  Learning Cross-Modality Similarity for Multinomal Data. 2407-2414.
Owens, T., Saenko K., Chakrabarti A., Xiong Y., Zickler T., & Darrell T. (2011).  Learning Object Color Models from Multi- View Constraints.
Feng, J., Jegelka S., Yan S., & Darrell T. (2014).  Learning Scalable Discriminative Dictionary with Sample Relatedness.
Feng, J., & Darrell T. (2015).  Learning The Structure of Deep Convolutional Networks. The IEEE International Conference on Computer Vision (ICCV).
Kulis, B., & Darrell T. (2009).  Learning to Hash with Binary Reconstructive Embeddings. 1042-1050.
Song, H. Oh, Girshick R., Jegelka S., Mairal J., Harchaoui Z., & Darrell T. (2014).  On Learning to Localize Objects With Minimal Supervision.
C. Christoudias, M., Urtasun R., Salzmann M., & Darrell T. (2010).  Learning to Recognize Objects from Unseen Modalities. 677-691.
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.
Urtasun, R., & Darrell T. (2008).  Local Probabilistic Regression for Activity-Independent Human Pose Inference.
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.
Friedland, G., Vinyals O., & Darrell T. (2010).  Multimodal Location Estimation. 1245-1251.

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