Publications

Found 132 results
Author Title Type [ Year(Desc)]
Filters: Author is Trevor Darrell  [Clear All Filters]
2014
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.
2015
Azadi, S., Feng J., Jegelka S., & Darrell T. (2015).  Auxiliary Image Regularization for Deep CNNs with Noisy Labels. CoRR. abs/1511.07069,
Pathak, D., Krahenbuhl P., & Darrell T. (2015).  Constrained Convolutional Neural Networks for Weakly Supervised Segmentation. The IEEE International Conference on Computer Vision (ICCV). 1796-1804.
Pathak, D., Kraehenbuehl P., Yu S. X., & Darrell T. (2015).  Constrained Structured Regression with Convolutional Neural Networks. CoRR. abs/1511.07497,
Krahenbuhl, P., Doersch C., Donahue J., & Darrell T. (2015).  Data-dependent Initializations of Convolutional Neural Networks. CoRR. abs/1511.06856,
Girshick, R., Iandola F., Darrell T., & Malik J. (2015).  Deformable Part Models are Convolutional Neural Networks. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 437-446.
Hoffman, J., Pathak D., Darrell T., & Saenko K. (2015).  Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR). 2883-2891.
Zhang, N., Shelhamer E., Gao Y., & Darrell T. (2015).  Fine-grained pose prediction, normalization, and recognition. CoRR. abs/1511.07063,
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.
Song, H. Oh, Girshick R., Zickler S., Geyer C., Felzenszwalb P., & Darrell T. (2015).  Generalized Sparselet Models for Real-Time Multiclass Object Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 1001-1012.
Feng, J., & Darrell T. (2015).  Learning The Structure of Deep Convolutional Networks. The IEEE International Conference on Computer Vision (ICCV).
Song, H. Oh, Fritz M., Göhring D., & Darrell T. (2015).  Learning to Detect Visual Grasp Affordance.
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.
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.

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