Publications

Found 714 results
Author Title Type [ Year(Asc)]
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2015
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.
Zhang, N., Shelhamer E., Gao Y., & Darrell T. (2015).  Fine-grained pose prediction, normalization, and recognition. CoRR. abs/1511.07063,
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.
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.
Gordo, B. (2015).  Guidelines for Socially Responsible, Inclusive Privacy Education. IEEE MultiMedia. 22(1), 13.
Bernd, J., Borth D., Carrano C., Choi J., Elizalde B. Martinez, Friedland G., et al. (2015).  Kickstarting the Commons: The YFCC100M and the YLI Corpora. 1-6.
Song, H. Oh, Fritz M., Göhring D., & Darrell T. (2015).  Learning to Detect Visual Grasp Affordance.
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.
Fisher, J., Darrell T., Galup L., How J., Krause A., & Soatto S. (2015).  Nonparametric Representations for Integrated Inference, Control, and Sensing.
Beijbom, O., Hoffman J., Yao E., Darrell T., Rodriguez-Ramirez A., Gonzalez-Rivero M., et al. (2015).  Quantification in-the-wild: data-sets and baselines. CoRR. abs/1510.04811,
Sherry, J., Gao P. X., Basu S., Panda A., Krishnamurthy A., Maciocco C., et al. (2015).  Rollback-Recovery for Middleboxes.
Castro, I., Panda A., Raghavan B., Shenker S. J., & Gorinsky S. (2015).  Route Bazaar: Automatic Interdomain Contract Negotiation.
Andersen, D. G., Du S. S., Mahoney M., Melgaard C., Wu K., & Gu M. (2015).  Spectral Gap Error Bounds for Improving CUR Matrix Decomposition and the Nystrom Method.
P. Godfrey, B., Caesar M., Haken I., Singer Y., Shenker S. J., & Stoica I. (2015).  Stabilizing Route Selection in BGP. IEEE/ACM Transactions on Networking. 23(1), 282-299.
Egelman, S., Friedland G., Bernd J., Garcia D. D., & Gordo B. (2015).  The Teaching Privacy Curriculum.
Egelman, S., Friedland G., Bernd J., Garcia D. D., & Gordo B. (2015).  The Teaching Privacy Curriculum.
Bernd, J., Gordo B., Choi J., Morgan B., Henderson N., Egelman S., et al. (2015).  Teaching Privacy: Multimedia Making a Difference. IEEE MultiMedia. 12-19.
Bernd, J., Gordo B., Choi J., Morgan B., Henderson N., Egelman S., et al. (2015).  Teaching Privacy: Multimedia Making a Difference. IEEE MultiMedia. 12-19.
Friedland, G., Egelman S., & Garcia D. D. (2015).  Teaching Privacy: What Every Student Needs to Know. 713.
Guadarrama, S., Rodner E., Saenko K., & Darrell T. (2015).  Understanding object descriptions in robotics by open-vocabulary object retrieval and detection. The International Journal of Robotics Research. 35(1-3), 265-280.
Gleich, D., & Mahoney M. (2015).  Using Local Spectral Methods to Robustify Graph-Based Learning Algorithms. Proceedings of the 21st Annual SIGKDD.
Garg, A., Krishnan S., Murali A., Pokorny F. T., Abbeel P., Darrell T., et al. (2015).  On Visual Feature Representations for Transition State Learning in Robotic Task Demonstrations. 44,
Garg, A., Krishnan S., Murali A., Pokorny F. T., Abbeel P., Darrell T., et al. (2015).  On Visual Feature Representations for Transition State Learning in Robotic Task Demonstrations. 44,
Bernd, J., Borth D., Elizalde B. Martinez, Friedland G., Gallagher H., Gottlieb L., et al. (2015).  The YLI?MED Corpus: Characteristics, Procedures, and Plans.
Bernd, J., Borth D., Elizalde B. Martinez, Friedland G., Gallagher H., Gottlieb L., et al. (2015).  The YLI?MED Corpus: Characteristics, Procedures, and Plans.

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