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Robert Fergus

Professor of Computer Science

    20012021

    Research activity per year

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    • 2020

      Fast adaptation to new environments via policy-dynamics value functions

      Raileanu, R., Goldstein, M., Szlam, A. & Fergus, R., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). International Machine Learning Society (IMLS), p. 7876-7887 12 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-11).

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

    • 2019

      Finding generalizable evidence by learning to convince Q&A models

      Perez, E., Karamcheti, S., Fergus, R., Weston, J., Kiela, D. & Cho, K., 2019, EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference. Association for Computational Linguistics, p. 2402-2411 10 p. (EMNLP-IJCNLP 2019 - 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the Conference).

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

    • 2018

      Composable planning with attributes

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

      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

    • Modeling others using oneself in multi-agent reinforcement learning

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

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

    • Stochastic Video Generation with a Learned Prior

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

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

    • 2016

      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. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops).

      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. Balcan, M. F. & Weinberger, K. Q. (eds.). International Machine Learning Society (IMLS), p. 648-656 9 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 1).

      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. Balcan, M. F. & Weinberger, K. Q. (eds.). International Machine Learning Society (IMLS), p. 639-647 9 p. (33rd International Conference on Machine Learning, ICML 2016; vol. 1).

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

    • 2015

      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, p. 4804-4813 10 p. 7299113. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

      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, p. 851-859 9 p. 7298686. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

      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 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 1008-1016 9 p. 7410478. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

      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 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 4489-4497 9 p. 7410867. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

      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 2015, 2015 International Conference on Computer Vision, ICCV 2015. Institute of Electrical and Electronics Engineers Inc., p. 2650-2658 9 p. 7410661. (Proceedings of the IEEE International Conference on Computer Vision; vol. 2015 International Conference on Computer Vision, ICCV 2015).

      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, p. 1731-1740 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).

      Research output: Chapter in Book/Report/Conference proceedingConference 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, p. 19-27 9 p. 7298596. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition; vol. 07-12-June-2015).

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

    • 2014

      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

    • 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

    • 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, 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

    • 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

    • Visualizing and understanding convolutional networks

      Zeiler, M. D. & Fergus, R., 2014, Computer Vision, ECCV 2014 - 13th European Conference, Proceedings. PART 1 ed. Springer Verlag, 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

    • 2013

      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

    • 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. (Proceedings of the IEEE International Conference on Computer Vision).

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

    • 2012

      A hybrid neural-network latent topic model

      Wan, L., Zhu, L. & Fergus, R., 2012, Proceedings of the International Conference on Artificial Intelligence and Statistics (AISTATS).

      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. 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

    • Multidimensional spectral hashing

      Weiss, Y., Fergus, R. & Torralba, A., 2012, Computer Vision, ECCV 2012 - 12th European Conference on Computer Vision, Proceedings. PART 5 ed. 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

    • 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. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    • 2011

      Adaptive deconvolutional networks for mid and high level feature learning

      Zeiler, M. D., Taylor, G. W. & Fergus, R., 2011, 2011 International Conference on Computer Vision, ICCV 2011. p. 2018-2025 8 p. 6126474. (Proceedings of the IEEE International Conference on Computer Vision).

      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. IEEE Computer Society, p. 233-240 8 p. 5995521. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      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. (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

    • 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. (Proceedings of the IEEE International Conference on Computer Vision).

      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. IEEE Computer Society, p. 2729-2736 8 p. 5995538. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

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

    • 2010

      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. p. 85-90 6 p. (AAAI Spring Symposium - Technical Report; vol. SS-10-01).

      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, Computer Vision, ECCV 2010 - 11th European Conference on Computer Vision, Proceedings. PART 6 ed. Springer Verlag, 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

    • 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. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      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. (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

    • 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. Springer Verlag, 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

    • 2009

      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. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

      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. IEEE Computer Society, p. 1605-1612 8 p. 5206545. (2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009).

      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. (Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference).

      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. (Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference).

      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. (Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference).

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

    • 2008

      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. (26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR).

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

    • 2006

      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. (ACM SIGGRAPH 2006 Papers, SIGGRAPH '06).

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

    • 2005

      A sparse object category model for efficient learning and exhaustive recognition

      Fergus, R., Perona, P. & Zisserman, A., 2005, Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005. IEEE Computer Society, p. 380-389 10 p. 1467293. (Proceedings - 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2005; vol. I).

      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. p. 1816-1823 8 p. 1544937. (Proceedings of the IEEE International Conference on Computer Vision; vol. II).

      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, (Advances in Neural Information Processing Systems).

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

    • 2004

      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, 2004 Conference on Computer Vision and Pattern Recognition Workshop, CVPRW 2004. January ed. IEEE Computer Society, 1384978. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops; vol. 2004-January, no. January).

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

    • 2003

      A Bayesian approach to unsupervised one-shot learning of object categories

      Fei-Fei, L., Fergus, R. & Perona, P., 2003, Proceedings of the IEEE International Conference on Computer Vision. Vol. 2. p. 1134-1141 8 p.

      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

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