Found 132 results
Author Title Type [ Year(Asc)]
Filters: Author is Trevor Darrell  [Clear All Filters]
Göhring, D., Hoffman J., Rodner E., Saenko K., & Darrell T. (2014).  Interactive Adaptation of Real-Time Object Detectors.
Hoffman, J., Guadarrama S., Tzeng E., Donahue J., Girshick R., Darrell T., et al. (2014).  Large Scale Detector Adaptation.
Feng, J., Jegelka S., Yan S., & Darrell T. (2014).  Learning Scalable Discriminative Dictionary with Sample Relatedness.
Song, H. Oh, Girshick R., Jegelka S., Mairal J., Harchaoui Z., & Darrell T. (2014).  On Learning to Localize Objects With Minimal Supervision.
Xiong, Y., Scharstein D., Chakrabarti A., Darrell T., Sun B., Saenko K., et al. (2014).  Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images. IEEE Transactions on Pattern Analysis and Machine Intelligence. 36(11), 2185-2198.
Hoffman, J., Tzeng E., Donahue J., Jia Y., Saenko K., & Darrell T. (2014).  One-Shot Adaptation of Supervised Deep Convolutional Models.
Guadarrama, S., Rodner E., Saenko K., Zhang N., Farrell R., Donahue J., et al. (2014).  Open-Vocabulary Object Retrieval.
Zhang, N., Paluri M., Ranzato M. Aurelio, Darrell T., & Bourdev L. (2014).  PANDA: Pose Aligned Networks for Deep Attribute Modeling.
Zhang, N., Donahue J., Girshick R., & Darrell T. (2014).  Part-Based R-CNNs for Fine-Grained Category Detection.
Karayev, S., Hertzmann A., Winnemoeller H., Agarwala A., & Darrell T. (2014).  Recognizing Image Style.
Girshick, R., Donahue J., Darrell T., & Malik J. (2014).  Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.
Song, H. Oh, Lee Y. Jae, Jegelka S., & Darrell T. (2014).  Weakly-Supervised Discovery of Visual Pattern Configurations.
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.