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Robert Fergus

Associate Professor of Computer Science

    20012019
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    Research Output

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    Conference contribution

    Web scale photo hash clustering on a single machine

    Gong, Y., Pawlowski, M., Yang, F., Brandy, L., Boundev, L. & Fergus, R., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, Vol. 07-12-June-2015. p. 19-27 9 p. 7298596

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Visualizing and understanding convolutional networks

    Zeiler, M. D. & Fergus, R., 2014, Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 1 ed. Springer Verlag, Vol. 8689 LNCS. p. 818-833 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8689 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    User conditional hashtag prediction for images

    Denton, E., Weston, J., Paluri, M., Bourdev, L. & Fergus, R., Aug 10 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, Vol. 2015-August. p. 1731-1740 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Stochastic Video Generation with a Learned Prior

    Denton, E. & Fergus, R., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), Vol. 3. p. 1906-1919 14 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Stochastic pooling for regularization of deep convolutional neural networks

    Zeiler, M. & Fergus, R., 2013, Proceedings of the International Conference on Learning Representation (ICLR).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Spectral hashing

    Weiss, Y., Torralba, A. & Fergus, R., 2009, Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. p. 1753-1760 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Small codes and large image databases for recognition

    Torralba, A., Fergus, R. & Weiss, Y., 2008, 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. 4587633

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Semi-supervised learning in gigantic image collections

    Fergus, R., Weiss, Y. & Torralba, A., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. p. 522-530 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Semantic label sharing for learning with many categories

    Fergus, R., Bernal, H., Weiss, Y. & Torralba, A., 2010, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 1 ed. Vol. 6311 LNCS. p. 762-775 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6311 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Sampling methods for unsupervised learning

    Fergus, R., Zisserman, A. & Perona, P., 2005, Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004. Neural information processing systems foundation

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Restoring an image taken through a window covered with dirt or rain

    Eigen, D., Krishnan, D. & Fergus, R., 2013, Proceedings - 2013 IEEE International Conference on Computer Vision, ICCV 2013. Institute of Electrical and Electronics Engineers Inc., p. 633-640 8 p. 6751188

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Removing camera shake from a single photograph

    Fergus, R., Singh, B., Hertzmann, A., Roweis, S. T. & Freeman, W. T., 2006, ACM SIGGRAPH 2006 Papers, SIGGRAPH '06. p. 787-794 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Removing camera shake from a single photograph

    Fergus, R., Singh, B., Hertzmann, A., Roweis, S. T. & Freeman, W. T., Jul 2006, ACM Transactions on Graphics. 3 ed. Vol. 25. p. 787-794 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Regularization of neural networks using DropConnect

    Wan, L., Zeiler, M., Zhang, S., LeCun, Y. & Fergus, R., 2013, 30th International Conference on Machine Learning, ICML 2013. PART 3 ed. International Machine Learning Society (IMLS), p. 2095-2103 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Predicting depth, surface normals and semantic labels with a common multi-scale convolutional architecture

    Eigen, D. & Fergus, R., Feb 17 2016, Proceedings - 2015 IEEE International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., Vol. 11-18-December-2015. p. 2650-2658 9 p. 7410661

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Pose-sensitive embedding by nonlinear NCA regression

    Taylor, G. W., Fergus, R., Williams, G., Spiro, I. & Bregler, C., 2010, Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010, NIPS 2010.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Overfeat: Integrated recognition, localization and detection using convolutional networks

    Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R. & Lecun, Y., 2014, International Conference on Learning Representations (ICLR2014), CBLS, April 2014. http://openreview.net/document/d332e77d-459a-4af8-b3ed-55ba, http://arxiv.org/abs/1312.6229

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Object recognition by scene alignment

    Russell, B. C., Torralba, A., Liu, C., Fergus, R. & Freeman, W. T., 2009, Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Object class recognition by unsupervised scale-invariant learning

    Fergus, R., Perona, P. & Zisserman, A., 2003, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Nonparametric image parsing using adaptive neighbor sets

    Eigen, D. & Fergus, R., 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2012. p. 2799-2806 8 p. 6248004

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Multidimensional spectral hashing

    Weiss, Y., Fergus, R. & Torralba, A., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 5 ed. Vol. 7576 LNCS. p. 340-353 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7576 LNCS, no. PART 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Modeling others using oneself in multi-agent reinforcement learning

    Raileanu, R., Denton, E., Szlam, A. & Fergus, R., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), Vol. 10. p. 6779-6788 10 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning to discover efficient mathematical identities

    Zaremba, W., Kurach, K. & Fergus, R., 2014, Advances in Neural Information Processing Systems. January ed. Neural information processing systems foundation, Vol. 2. p. 1278-1286 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning spatiotemporal features with 3D convolutional networks

    Tran, D., Bourdev, L., Fergus, R., Torresani, L. & Paluri, M., Feb 17 2016, Proceedings - 2015 IEEE International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., Vol. 11-18-December-2015. p. 4489-4497 9 p. 7410867

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning simple algorithms from examples

    Zaremba, W., Mikolov, T., Joulin, A. & Fergus, R., 2016, 33rd International Conference on Machine Learning, ICML 2016. International Machine Learning Society (IMLS), Vol. 1. p. 639-647 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning physical intuition of block towers by example

    Lerer, A., Gross, S. & Fergus, R., 2016, 33rd International Conference on Machine Learning, ICML 2016. International Machine Learning Society (IMLS), Vol. 1. p. 648-656 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning object categories from Google's image search

    Fergus, R., Fei-Fei, L., Perona, P. & Zisserman, A., 2005, Proceedings - 10th IEEE International Conference on Computer Vision, ICCV 2005. Vol. II. p. 1816-1823 8 p. 1544937

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning invariant features through topographic filter maps

    Kavukcuoglu, K., Ranzato, MA., Fergus, R. & LeCun, Y., 2009, 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 2009. p. 1605-1612 8 p. 5206545

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning invariance through imitation

    Taylor, G. W., Spiro, I., Bregler, C. & Fergus, R., 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011. p. 2729-2736 8 p. 5995538

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories

    Fei-Fei, L., Fergus, R. & Perona, P., 2004, IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops. January ed. IEEE Computer Society, Vol. 2004-January. 1384978

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Learning by Asking Questions

    Misra, I., Girshick, R., Fergus, R., Hebert, M., Gupta, A. & Van Der Maaten, L., Dec 14 2018, Proceedings - 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2018. IEEE Computer Society, p. 11-20 10 p. 8578107. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Instance segmentation of indoor scenes using a coverage loss

    Silberman, N., Sontag, D. & Fergus, R., 2014, Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 1 ed. Springer Verlag, Vol. 8689 LNCS. p. 616-631 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8689 LNCS, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Indoor segmentation and support inference from RGBD images

    Silberman, N., Hoiem, D., Kohli, P. & Fergus, R., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 5 ed. Vol. 7576 LNCS. p. 746-760 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7576 LNCS, no. PART 5).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Indoor scene segmentation using a structured light sensor

    Silberman, N. & Fergus, R., 2011, 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011. p. 601-608 8 p. 6130298

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Improving image classification with location context

    Tang, K., Paluri, M., Fei-Fei, L., Fergus, R. & Bourdev, L., Feb 17 2016, Proceedings - 2015 IEEE International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., Vol. 11-18-December-2015. p. 1008-1016 9 p. 7410478

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Image and depth from a conventional camera with a coded aperture

    Levin, A., Fergus, R., Durand, F. & Freeman, W. T., 2007, Proceedings of ACM SIGGRAPH 2007. 70

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Fast image deconvolution using hyper-laplacian priors

    Krishnan, D. & Fergus, R., 2009, Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. p. 1033-1041 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Facial expression transfer with input-output Temporal Restricted Boltzmann Machines

    Zeiler, M. D., Taylor, G. W., Sigal, L., Matthews, I. & Fergus, R., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Exploiting linear structure within convolutional networks for efficient evaluation

    Denton, E., Zaremba, W., Bruna, J., LeCun, Y. & Fergus, R., 2014, Advances in Neural Information Processing Systems. January ed. Neural information processing systems foundation, Vol. 2. p. 1269-1277 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    End-to-end memory networks

    Sukhbaatar, S., Szlam, A., Weston, J. & Fergus, R., 2015, Advances in Neural Information Processing Systems. Neural information processing systems foundation, Vol. 2015-January. p. 2440-2448 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    End-to-end integration of a Convolutional Network, Deformable Parts Model and non-maximum suppression

    Wan, L., Eigen, D. & Fergus, R., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, Vol. 07-12-June-2015. p. 851-859 9 p. 7298686

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Depth map prediction from a single image using a multi-scale deep network

    Eigen, D., Puhrsch, C. & Fergus, R., 2014, Advances in Neural Information Processing Systems. January ed. Neural information processing systems foundation, Vol. 3. p. 2366-2374 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Deep generative image models using a laplacian pyramid of adversarial networks

    Denton, E., Chintala, S., Szlam, A. & Fergus, R., 2015, Advances in Neural Information Processing Systems. Neural information processing systems foundation, Vol. 2015-January. p. 1486-1494 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Deep End2End Voxel2Voxel Prediction

    Tran, D., Bourdev, L., Fergus, R., Torresani, L. & Paluri, M., Dec 16 2016, Proceedings - 29th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2016. IEEE Computer Society, p. 402-409 8 p. 7789547

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Deconvolutional networks

    Zeiler, M. D., Krishnan, D., Taylor, G. W. & Fergus, R., 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010. p. 2528-2535 8 p. 5539957

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Convolutional learning of spatio-temporal features

    Taylor, G. W., Fergus, R., LeCun, Y. & Bregler, C., 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 6 ed. Vol. 6316 LNCS. p. 140-153 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6316 LNCS, no. PART 6).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Composable planning with attributes

    Zhang, A., Lerer, A., Sukhbaatar, S., Fergus, R. & Szlam, A., Jan 1 2018, 35th International Conference on Machine Learning, ICML 2018. Krause, A. & Dy, J. (eds.). International Machine Learning Society (IMLS), Vol. 13. p. 9292-9307 16 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Case for automated detection of diabetic retinopathy

    Silberman, N., Ahlrich, K., Fergus, R. & Subramanian, L., 2010, Artificial Intelligence for Development - Papers from the AAAI Spring Symposium, Technical Report. Vol. SS-10-01. p. 85-90 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Blind deconvolution using a normalized sparsity measure

    Krishnan, D., Tay, T. & Fergus, R., 2011, 2011 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2011. p. 233-240 8 p. 5995521

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Beyond frontal faces: Improving Person Recognition using multiple cues

    Zhang, N., Paluri, M., Taigman, Y., Fergus, R. & Bourdev, L., Oct 14 2015, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2015. IEEE Computer Society, Vol. 07-12-June-2015. p. 4804-4813 10 p. 7299113

    Research output: Chapter in Book/Report/Conference proceedingConference contribution