David Cox - Publications

Affiliations: 
Rowland Institute, Harvard, Cambridge, MA, United States 
Area:
Object recognition
Website:
http://www.rowland.harvard.edu/rjf/cox/index.html

44 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2020 Guitchounts G, Masís J, Wolff SBE, Cox D. Encoding of 3D Head Orienting Movements in the Primary Visual Cortex. Neuron. PMID 32783881 DOI: 10.1016/J.Neuron.2020.07.014  0.748
2020 Lotter W, Kreiman G, Cox D. A neural network trained for prediction mimics diverse features of biological neurons and perception Nature Machine Intelligence. 2: 210-219. DOI: 10.1038/s42256-020-0170-9  0.37
2019 Farhi SL, Parot VJ, Grama A, Yamagata M, Abdelfattah AS, Adam Y, Lou S, Jun Kim J, Campbell RE, Cox DD, Cohen AE. Wide-area all-optical neurophysiology in acute brain slices. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 30952812 DOI: 10.1523/Jneurosci.0168-19.2019  0.764
2018 Masis J, Mankus D, Wolff SBE, Guitchounts G, Joesch M, Cox DD. A Micro-CT-based Method for Characterizing Lesions and Locating Electrodes in Small Animal Brains. Journal of Visualized Experiments : Jove. PMID 30474629 DOI: 10.3791/58585  0.739
2018 Tang H, Schrimpf M, Lotter W, Moerman C, Paredes A, Ortega Caro J, Hardesty W, Cox D, Kreiman G. Recurrent computations for visual pattern completion. Proceedings of the National Academy of Sciences of the United States of America. PMID 30104363 DOI: 10.1073/Pnas.1719397115  0.746
2018 Skocek O, Nöbauer T, Weilguny L, Traub FM, Xia CN, Molodtsov MI, Grama A, Yamagata M, Aharoni D, Cox DD, Golshani P, Vaziri A. Author Correction: High-speed volumetric imaging of neuronal activity in freely moving rodents. Nature Methods. PMID 29786093 DOI: 10.1038/S41592-018-0034-Y  0.743
2018 Skocek O, Nöbauer T, Weilguny L, Martínez Traub F, Xia CN, Molodtsov MI, Grama A, Yamagata M, Aharoni D, Cox DD, Golshani P, Vaziri A. High-speed volumetric imaging of neuronal activity in freely moving rodents. Nature Methods. PMID 29736000 DOI: 10.1038/S41592-018-0008-0  0.763
2018 Fong RC, Scheirer WJ, Cox DD. Using human brain activity to guide machine learning. Scientific Reports. 8: 5397. PMID 29599461 DOI: 10.1038/s41598-018-23618-6  0.604
2018 Masís J, Mankus D, Wolff SBE, Guitchounts G, Joesch M, Cox DD. A micro-CT-based method for quantitative brain lesion characterization and electrode localization. Scientific Reports. 8: 5184. PMID 29581439 DOI: 10.1038/S41598-018-23247-Z  0.746
2017 Isik L, Lotter W, Crone N, Cox D, Kanwisher N, Andreson W, Kreiman G. Task dependent modulation before, during and after visually evoked responses in human intracranial recordings Journal of Vision. 17: 983. DOI: 10.1167/17.10.983  0.314
2015 Zoccolan D, Cox DD, Benucci A. Editorial: What can simple brains teach us about how vision works. Frontiers in Neural Circuits. 9: 51. PMID 26483639 DOI: 10.3389/fncir.2015.00051  0.789
2015 Papa J, Rosa G, Costa K, Marana A, Scheirer W, Cox D. On the model selection of Bernoulli restricted Boltzmann machines through harmony search Gecco 2015 - Companion Publication of the 2015 Genetic and Evolutionary Computation Conference. 1449-1450. DOI: 10.1145/2739482.2764628  0.563
2015 Lowry S, Sunderhauf N, Newman P, Leonard JJ, Cox D, Corke P, Milford MJ. Visual Place Recognition: A Survey Ieee Transactions On Robotics. DOI: 10.1109/Tro.2015.2496823  0.377
2015 Bergstra J, Komer B, Eliasmith C, Yamins D, Cox DD. Hyperopt: A Python library for model selection and hyperparameter optimization Computational Science and Discovery. 8. DOI: 10.1088/1749-4699/8/1/014008  0.675
2015 Bergstra J, Pinto N, Cox DD. SkData: Data sets and algorithm evaluation protocols in Python Computational Science and Discovery. 8. DOI: 10.1088/1749-4699/8/1/014007  0.436
2015 Papa JP, Rosa GH, Marana AN, Scheirer W, Cox DD. Model selection for Discriminative Restricted Boltzmann Machines through meta-heuristic techniques Journal of Computational Science. 9: 14-18. DOI: 10.1016/J.Jocs.2015.04.014  0.59
2015 Papa JP, Scheirer W, Cox DD. Fine-tuning Deep Belief Networks using Harmony Search Applied Soft Computing Journal. DOI: 10.1016/J.Asoc.2015.08.043  0.579
2014 Scheirer WJ, Anthony SE, Nakayama K, Cox DD. Perceptual Annotation: Measuring Human Vision to Improve Computer Vision. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1679-86. PMID 26353347 DOI: 10.1109/Tpami.2013.2297711  0.619
2014 Scheirer WJ, Anthony SE, Nakayama K, Cox DD. Perceptual annotation: Measuring human vision to improve computer vision Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1679-1686. DOI: 10.1109/TPAMI.2013.2297711  0.591
2014 Chiachia G, Falcão AX, Pinto N, Rocha A, Cox D. Learning person-specific representations from faces in the wild Ieee Transactions On Information Forensics and Security. 9: 2089-2099. DOI: 10.1109/TIFS.2014.2359543  0.549
2014 Milford M, Scheirer W, Vig E, Glover A, Baumann O, Mattingley J, Cox D. Condition-invariant, Top-down visual place recognition Proceedings - Ieee International Conference On Robotics and Automation. 5571-5577. DOI: 10.1109/ICRA.2014.6907678  0.626
2014 Milford M, Vig E, Scheirer W, Cox D. Vision-based simultaneous localization and mapping in changing outdoor environments Journal of Field Robotics. 31: 814-836. DOI: 10.1002/Rob.21532  0.645
2013 Milford M, Vig E, Scheirer W, Cox D. Towards condition-invariant, top-down visual place recognition Australasian Conference On Robotics and Automation, Acra 0.626
2012 Chiachia G, Pinto N, Schwartz WR, Rocha A, Falcão AX, Cox D. Person-specific subspace analysis for unconstrained familiar face identification Bmvc 2012 - Electronic Proceedings of the British Machine Vision Conference 2012. DOI: 10.5244/C.26.101  0.43
2012 Bergstra J, Pinto N, Cox D. Machine learning for predictive auto-tuning with boosted regression trees 2012 Innovative Parallel Computing, Inpar 2012. DOI: 10.1109/InPar.2012.6339587  0.41
2012 Pinto N, Cox DD. High-throughput-derived biologically-inspired features for unconstrained face recognition Image and Vision Computing. 30: 159-168. DOI: 10.1016/j.imavis.2011.12.009  0.453
2012 Pinto N, Cox DD. GPU Metaprogramming: A Case Study in Biologically Inspired Machine Vision Gpu Computing Gems Jade Edition. 457-471. DOI: 10.1016/B978-0-12-385963-1.00033-2  0.427
2012 Pinto N, Cox D. An evaluation of the invariance properties of a biologically-inspired system for unconstrained face recognition Lecture Notes of the Institute For Computer Sciences, Social-Informatics and Telecommunications Engineering. 87: 505-518. DOI: 10.1007/978-3-642-32615-8_48  0.446
2011 Pinto N, Barhomi Y, Cox DD, DiCarlo JJ. Comparing state-of-the-art visual features on invariant object recognition tasks 2011 Ieee Workshop On Applications of Computer Vision, Wacv 2011. 463-470. DOI: 10.1109/WACV.2011.5711540  0.741
2011 Cox D, Pinto N. Beyond simple features: A large-scale feature search approach to unconstrained face recognition 2011 Ieee International Conference On Automatic Face and Gesture Recognition and Workshops, Fg 2011. 8-15. DOI: 10.1109/FG.2011.5771385  0.456
2011 Pinto N, Stone Z, Zickler T, Cox D. Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops. DOI: 10.1109/CVPRW.2011.5981788  0.451
2010 Zoccolan D, Graham BJ, Cox DD. A self-calibrating, camera-based eye tracker for the recording of rodent eye movements. Frontiers in Neuroscience. 4: 193. PMID 21152259 DOI: 10.3389/fnins.2010.00193  0.757
2009 Pinto N, Doukhan D, DiCarlo JJ, Cox DD. A high-throughput screening approach to discovering good forms of biologically inspired visual representation. Plos Computational Biology. 5: e1000579. PMID 19956750 DOI: 10.1371/journal.pcbi.1000579  0.735
2009 Li N, Cox DD, Zoccolan D, DiCarlo JJ. What response properties do individual neurons need to underlie position and clutter "invariant" object recognition? Journal of Neurophysiology. 102: 360-76. PMID 19439676 DOI: 10.1152/jn.90745.2008  0.767
2009 Zoccolan D, Oertelt N, DiCarlo JJ, Cox DD. A rodent model for the study of invariant visual object recognition. Proceedings of the National Academy of Sciences of the United States of America. 106: 8748-53. PMID 19429704 DOI: 10.1073/pnas.0811583106  0.784
2009 Pinto N, DiCarlo JJ, Cox DD. How far can you get with a modern face recognition test set using only simple features? 2009 Ieee Computer Society Conference On Computer Vision and Pattern Recognition Workshops, Cvpr Workshops 2009. 2591-2598. DOI: 10.1109/CVPRW.2009.5206605  0.707
2008 Cox DD, DiCarlo JJ. Does learned shape selectivity in inferior temporal cortex automatically generalize across retinal position? The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 28: 10045-55. PMID 18829962 DOI: 10.1523/JNEUROSCI.2142-08.2008  0.722
2008 Cox DD, Papanastassiou AM, Oreper D, Andken BB, Dicarlo JJ. High-resolution three-dimensional microelectrode brain mapping using stereo microfocal X-ray imaging. Journal of Neurophysiology. 100: 2966-76. PMID 18815345 DOI: 10.1152/jn.90672.2008  0.675
2008 Pinto N, Cox DD, DiCarlo JJ. Why is real-world visual object recognition hard? Plos Computational Biology. 4: e27. PMID 18225950 DOI: 10.1371/journal.pcbi.0040027  0.758
2007 Balas B, Cox D, Conwell E. The effect of real-world personal familiarity on the speed of face information processing Plos One. 2. PMID 18030351 DOI: 10.1371/Journal.Pone.0001223  0.318
2007 DiCarlo JJ, Cox DD. Untangling invariant object recognition. Trends in Cognitive Sciences. 11: 333-41. PMID 17631409 DOI: 10.1016/j.tics.2007.06.010  0.721
2005 Zoccolan D, Cox DD, DiCarlo JJ. Multiple object response normalization in monkey inferotemporal cortex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 25: 8150-64. PMID 16148223 DOI: 10.1523/JNEUROSCI.2058-05.2005  0.773
2005 Cox DD, Meier P, Oertelt N, DiCarlo JJ. 'Breaking' position-invariant object recognition. Nature Neuroscience. 8: 1145-7. PMID 16116453 DOI: 10.1038/nn1519  0.684
2004 Cox D, Meyers E, Sinha P. Contextually evoked object-specific responses in human visual cortex. Science (New York, N.Y.). 304: 115-7. PMID 15001712 DOI: 10.1126/Science.1093110  0.394
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