Publications

Found 132 results
Author Title Type [ Year(Desc)]
Filters: Author is Trevor Darrell  [Clear All Filters]
2012
Xiong, Y., Saenko K., Darrell T., & Zickler T. (2012).  From Pixels to Physics: Probabilistic Color De-rendering.
Miller, S., van den Berg J., Fritz M., Darrell T., Goldberg K., & Abbeel P. (2012).  A Geometric Approach to Robotic Laundry Folding. International Journal of Robotics Research. 31(2), 249-267.
Vinyals, O., Jia Y., Deng L., & Darrell T. (2012).  Learning with Recursive Perceptual Representations.
Zhang, N., Farrell R., & Darrell T. (2012).  Pose Pooling Kernels for Sub-Category Recognition. 3665-3672.
Song, H. Oh, Zickler S., Althoff T., Girshick R., Geyer C., Fritz M., et al. (2012).  Sparselet Models for Efficient Multiclass Object Detection. 802-815.
Cheng, H., Liu J., Ali S., Javed O., Yu Q., Tamrakar A., et al. (2012).  SRI-Sarnoff AURORA System at TRECVID 2012 Multimedia Event Detection and Recounting.
Karayev, S., Baumgartner T., Fritz M., & Darrell T. (2012).  Timely Object Recognition.
2013
Jia, Y., Vinyals O., & Darrell T. (2013).  On Compact Codes for Spatially Pooled Features.
Zhang, N., Farrell R., Iandola F., & Darrell T. (2013).  Deformable Part Descriptors for Fine-Grained Recognition and Attribute Prediction.
Girshick, R., Song H. Oh, & Darrell T. (2013).  Discriminatively Activated Sparselets.
Hoffman, J., Rodner E., Donahue J., Darrell T., & Saenko K. (2013).  Efficient Learning of Domain-Invariant Image Representations.
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. (2013).  Latent Task Adaptation with Large-Scale Hierarchies.
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.
Chu, V., McMahon I., Riano L., McDonald C. G., He Q., Perez-Tejada J. Martinez, et al. (2013).  Using Robotic Exploratory Procedures to Learn the Meaning of Haptic Adjectives.
Jia, Y., Abbott J., Austerweil J., Griffiths T., & Darrell T. (2013).  Visual Concept Learning: Combining Machine Vision and Bayesian Generalization on Concept Hierarchies.
Vinyals, O., Jia Y., & Darrell T. (2013).  Why Size Matters: Feature Coding as Nystrom Sampling.
Guadarrama, S., Krishnamoorthy N., Malkarnenkar G., Mooney R., Darrell T., & Saenko K. (2013).  YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shoot Recognition.
2014
Karayev, S., Fritz M., & Darrell T. (2014).  Anytime Recognition of Objects and Scenes.
Jia, Y., Shelhamer E., Donahue J., Karayev S., Long J., Girshick R., et al. (2014).  Caffe: Convolutional Architecture for Fast Feature Embedding. 675-678.
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.
Iandola, F., Moskewicz M., Karayev S., Girshick R., Darrell T., & Keutzer K. (2014).  DenseNet: Implementing Efficient ConvNet Descriptor Pyramids.

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