Found 132 results
Author Title [ Type(Desc)] Year
Filters: Author is Trevor Darrell  [Clear All Filters]
Conference Paper
Urtasun, R., Fleet D. J., Geiger A., Popović J., Darrell T., & Lawrence N. D. (2008).  Topologically-Constrained Latent Variable Models. 1080-1087.
Stone, Z., Zickler T., & Darrell T. (2010).  Toward Large-Scale Face Recognition Using Social Network Context. 98(8), 1408-1415.
Quattoni, A., Collins M., & Darrell T. (2008).  Transfer Learning for Image Classification with Sparse Prototype Representations.
Rodner, E., Hoffman J., Donahue J., Darrell T., & Saenko K. (2013).  Transform-Based Domain Adaptation for Big Data.
C. Christoudias, M., Urtasun R., & Darrell T. (2008).  Unsupervised Feature Selection via Distributed Coding for Multi-view Object Recognition.
Saenko, K., & Darrell T. (2008).  Unsupervised Learning of Visual Sense Models for Polysemous Words. 1393-1400.
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.
Song, H. Oh, Fritz M., Gu C., & Darrell T. (2011).  Visual Grasp Affordances From Appearance-Based Cues. 998-1005.
Song, H. Oh, Lee Y. Jae, Jegelka S., & Darrell T. (2014).  Weakly-Supervised Discovery of Visual Pattern Configurations.
Kulis, B., Saenko K., & Darrell T. (2011).  What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms. 1785-1792.
Frampton, M., Fernández R.., Ehlen P.., C. Christoudias M., Darrell T., & Peters S. (2009).  Who is "You"? Combining Linguistic and Gaze Features to Resolve Second-Person References in Dialogue. 273-281.
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.
Conference Proceedings
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.
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.
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.
Journal Article
Donahue, J., Krahenbuhl P., & Darrell T. (2016).  Adversarial Feature Learning. CoRR. abs/1605.09782,
Azadi, S., Feng J., Jegelka S., & Darrell T. (2015).  Auxiliary Image Regularization for Deep CNNs with Noisy Labels. CoRR. abs/1511.07069,
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,
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.
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.
Zhang, N., Shelhamer E., Gao Y., & Darrell T. (2015).  Fine-grained pose prediction, normalization, and recognition. CoRR. abs/1511.07063,
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.