Found 132 results
Author Title [ Type(Asc)] Year
Filters: Author is Trevor Darrell  [Clear All Filters]
Conference Paper
Miller, S., Fritz M., Darrell T., & Abbeel P. (2011).  Parametrized Shape Models for Clothing.
Zhang, N., Paluri M., Ranzato M. Aurelio, Darrell T., & Bourdev L. (2014).  PANDA: Pose Aligned Networks for Deep Attribute Modeling.
Guadarrama, S., Rodner E., Saenko K., Zhang N., Farrell R., Donahue J., et al. (2014).  Open-Vocabulary Object Retrieval.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Neural Module Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 39-48.
Tuytelaars, T., Fritz M., Saenko K., & Darrell T. (2011).  The NBNN Kernel. 1824-1831.
Hu, R., Xu H., Rohrbach M., Feng J., Saenko K., & Darrell T. (2016).  Natural Language Object Retrieval. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
C. Christoudias, M., Urtasun R., & Darrell T. (2008).  Multi-View Learning in the Presence of View Disagreement.
Friedland, G., Vinyals O., & Darrell T. (2010).  Multimodal Location Estimation. 1245-1251.
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.
Göhring, D., Hoffman J., Rodner E., Saenko K., & Darrell T. (2014).  Interactive Adaptation of Real-Time Object Detectors.
Jia, Y., & Darrell T. (2011).  Heavy-Tailed Distances for Gradient Based Image Descriptors.
Guadarrama, S., Riano L., Golland D., Göhring D., Jia Y., Klein D., et al. (2013).  Grounding Spatial Relations for Human-Robot Interaction.
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.
Xiong, Y., Saenko K., Darrell T., & Zickler T. (2012).  From Pixels to Physics: Probabilistic Color De-rendering.
Eden, A., C. Christoudias M., & Darrell T. (2011).  Finding Lost Children.