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Robert Fergus

Associate Professor of Computer Science

    20012019

    Research output per year

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    Research Output

    2019

    Hierarchical RL using an ensemble of proprioceptive periodic policies

    Marino, K., Gupta, A., Szlam, A. & Fergus, R., Jan 1 2019.

    Research output: Contribution to conferencePaper

    2018

    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

    Intrinsic motivation and automatic curricula via asymmetric self-play

    Sukhbaatar, S., Lin, Z., Kostrikov, I., Synnaeve, G., Szlam, A. & Fergus, R., Jan 1 2018.

    Research output: Contribution to conferencePaper

    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., Jan 1 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., 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

    2017

    Preface

    Von Luxburg, U., Guyon, I., Bengio, S., Wallach, H., Fergus, R., Vishwanathan, S. V. N. & Garnett, R., Jan 1 2017, In : Advances in Neural Information Processing Systems. 2017-December, p. xlix-liv

    Research output: Contribution to journalEditorial

    Project 1640 Observations of Brown Dwarf GJ 758 B: Near-infrared Spectrum and Atmospheric Modeling

    Nilsson, R., Veicht, A., Godfrey, P. A. G., Rice, E. L., Aguilar, J., Pueyo, L., Roberts, L. C., Oppenheimer, R., Brenner, D., Luszcz-Cook, S. H., Bacchus, E., Beichman, C., Burruss, R., Cady, E., Dekany, R., Fergus, R., Hillenbrand, L., Hinkley, S., King, D., Lockhart, T. & 6 others, Parry, I. R., Sivaramakrishnan, A., Soummer, R., Vasisht, G., Zhai, C. & Zimmerman, N. T., Mar 20 2017, In : Astrophysical Journal. 838, 1, 64.

    Research output: Contribution to journalArticle

    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

    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

    Learning multiagent communication with backpropagation

    Sukhbaatar, S., Szlam, A. & Fergus, R., 2016, In : Advances in Neural Information Processing Systems. p. 2252-2260 9 p.

    Research output: Contribution to journalArticle

    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 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 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

    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

    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, Vol. 07-12-June-2015. p. 4804-4813 10 p. 7299113

    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

    Detection of third and sixth cranial nerve palsies with a novel method for eye tracking while watching a short film clip

    Samadani, U., Farooq, S., Ritlop, R., Warren, F., Reyes, M., Lamm, E., Alex, A., Nehrbass, E., Kolecki, R., Jureller, M., Schneider, J., Chen, A., Shi, C., Mendhiratta, N., Huang, J. H., Qian, M., Kwak, R., Mikheev, A., Rusinek, H., George, A. & 4 others, Fergus, R., Kondziolka, D., Huang, P. P. & Smith, R. T., Mar 2015, In : Journal of Neurosurgery. 122, 3, p. 707-720 14 p.

    Research output: Contribution to journalArticle

    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

    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

    Training convolutional networks with noisy labels

    Sukhbaatar, S., Bruna Estrach, J., Paluri, M., Bourdev, L. & Fergus, R., Jan 1 2015.

    Research output: Contribution to conferencePaper

    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

    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

    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., Jan 1 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

    Intriguing properties of neural networks

    Szegedy, C., Zaremba, W., Sutskever, I., Bruna Estrach, J., Erhan, D., Goodfellow, I. & Fergus, R., Jan 1 2014.

    Research output: Contribution to conferencePaper

    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

    Overfeat: Integrated recognition, localization and detection using convolutional networks. 2nd International Conference on Learning Representations, ICLR 2014

    Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R. & LeCun, Y., Jan 1 2014.

    Research output: Contribution to conferencePaper

    S4: A spatial-spectral model for speckle suppression

    Fergus, R., Hogg, D. W., Oppenheimer, R., Brenner, D. & Pueyo, L., Oct 20 2014, In : Astrophysical Journal. 794, 2, 161.

    Research output: Contribution to journalArticle

    Visualizing and understanding convolutional networks

    Zeiler, M. D. & Fergus, R., Jan 1 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

    Learning binary hash codes for large-scale image search

    Grauman, K. & Fergus, R., Jan 1 2013, Machine Learning for Computer Vision. Springer Verlag, p. 49-87 39 p. (Studies in Computational Intelligence; vol. 411).

    Research output: Chapter in Book/Report/Conference proceedingChapter

    Reconnaissance of the hr 8799 exosolar system. I. near-infrared spectroscopy

    Roberts, L. C., Oppenheimer, B. R., Baranec, C., Beichman, C., Brenner, D., Burruss, R., Cady, E., Crepp, J. R., Dekany, R., Fergus, R., Hale, D., Hillenbrand, L., Hinkley, S., Hogg, D. W., King, D., Ligon, E. R., Lockhart, T., Nilsson, R., Parry, I. R., Pueyo, L. & 13 others, Rice, E., Roberts, J. E., Roberts, L. C., Shao, M., Sivaramakrishnan, A., Soummer, R., Truong, T., Vasisht, G., Veicht, A., Vescelus, F., Wallace, J. K., Zhai, C. & Zimmerman, N., May 1 2013, In : Astrophysical Journal. 768, 1, 24.

    Research output: Contribution to journalArticle

    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., Jan 1 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, In : Journal of Machine Learning Research. 22, p. 1287-1294 8 p.

    Research output: Contribution to journalArticle

    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., Oct 30 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., Oct 30 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., Oct 1 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., Dec 1 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., Jan 1 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., Dec 1 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., Dec 1 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 binary projections for large scale image search

    Grauman, K. & Fergus, R., 2011, Computer vision. Cipolla, R., Battiato, S. & Farinella, G. (eds.). Springer

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

    Learning invariance through imitation

    Taylor, G. W., Spiro, I., Bregler, C. & Fergus, R., Jan 1 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., Oct 21 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