Publications

Found 132 results
Author Title [ Type(Asc)] Year
Filters: Author is Trevor Darrell  [Clear All Filters]
Journal Article
Song, H. Oh, Fritz M., Göhring D., & Darrell T. (2015).  Learning to Detect Visual Grasp Affordance.
Song, H. Oh, Fritz M., Goehring D., & Darrell T. (2016).  Learning to Detect Visual Grasp Affordance. IEEE Transactions on Automation Science and Engineering. 13(2), 798-809.
Andreas, J., Rohrbach M., Darrell T., & Klein D. (2016).  Learning to Compose Neural Networks for Question Answering. CoRR. abs/1601.01705,
Hoffman, J., Pathak D., Tzeng E., Long J., Guadarrama S., Darrell T., et al. (2016).  Large Scale Visual Recognition Through Adaptation Using Joint Representation and Multiple Instance Learning. J. Mach. Learn. Res.. 17, 4954–4984.
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.
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.
Kapoor, A., Grauman K., Urtasun R., & Darrell T. (2010).  Gaussian Processes for Object Categorization. International Journal of Computer Vision. 88(2), 169-188.
Shelhamer, E., Long J., & Darrell T. (2016).  Fully Convolutional Networks for Semantic Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 39(4), 640-651.
Zhang, N., Shelhamer E., Gao Y., & Darrell T. (2015).  Fine-grained pose prediction, normalization, and recognition. CoRR. abs/1511.07063,
Levine, S., Finn C., Darrell T., & Abbeel P. (2016).  End-to-end training of deep visuomotor policies. Journal of Machine Learning Research. 17, 1–40.
Finn, C., Tan X. Yu, Duan Y., Darrell T., Levine S., & Abbeel P. (2016).  Deep spatial autoencoders for visuomotor learning. IEEE International Conference on Robotics and Automation (ICRA). 512-519.
Krahenbuhl, P., Doersch C., Donahue J., & Darrell T. (2015).  Data-dependent Initializations of Convolutional Neural Networks. CoRR. abs/1511.06856,
Pathak, D., Kraehenbuehl P., Yu S. X., & Darrell T. (2015).  Constrained Structured Regression with Convolutional Neural Networks. CoRR. abs/1511.07497,
Azadi, S., Feng J., Jegelka S., & Darrell T. (2015).  Auxiliary Image Regularization for Deep CNNs with Noisy Labels. CoRR. abs/1511.07069,
Donahue, J., Krahenbuhl P., & Darrell T. (2016).  Adversarial Feature Learning. CoRR. abs/1605.09782,
Conference Proceedings
Murali, A., Garg A., Krishnan S., Pokory F. T., Abbeel P., Darrell T., et al. (2016).  TSC-DL: Unsupervised trajectory segmentation of multi-modal surgical demonstrations with Deep Learning. IEEE International Conference on Robotics and Automation (ICRA). 4150-4157.
Gao, Y., Hendricks L. Anne, Kuchenbecker K. J., & Darrell T. (2016).  Deep learning for tactile understanding from visual and haptic data. IEEE International Conference on Robotics and Automation (ICRA). 536-543.
Hoffman, J., Gupta S., Leong J., Guadarrama S., & Darrell T. (2016).  Cross-modal adaptation for RGB-D detection. IEEE International Conference on Robotics and Automation (ICRA). 5032-5039.

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