| Year |
Citation |
Score |
| 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 |
0.76 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
0.76 |
|
| 2014 |
Cox DD, Dean T. Neural networks and neuroscience-inspired computer vision. Current Biology : Cb. 24: R921-9. PMID 25247371 DOI: 10.1016/j.cub.2014.08.026 |
1 |
|
| 2014 |
Cox DD. Do we understand high-level vision? Current Opinion in Neurobiology. 25: 187-93. PMID 24552691 DOI: 10.1016/j.conb.2014.01.016 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2014 |
Vig E, Dorr M, Cox D. Large-scale optimization of hierarchical features for saliency prediction in natural images Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2798-2805. DOI: 10.1109/CVPR.2014.358 |
1 |
|
| 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 |
1 |
|
| 2013 |
Gunther M, Costa-Pazo A, Ding C, Boutellaa E, Chiachia G, Zhang H, De Assis Angeloni M, Struc V, Khoury E, Vazquez-Fernandez E, Tao D, Bengherabi M, Cox D, Kiranyaz S, De Freitas Pereira T, et al. The 2013 face recognition evaluation in mobile environment Proceedings - 2013 International Conference On Biometrics, Icb 2013. DOI: 10.1109/ICB.2013.6613024 |
1 |
|
| 2013 |
Milford M, Vig E, Scheirer W, Cox D. Towards condition-invariant, top-down visual place recognition Australasian Conference On Robotics and Automation, Acra. |
1 |
|
| 2013 |
Bergstra J, Yamins D, Cox DD. Making a science of model search: Hyperparameter optimization in hundreds of dimensions for vision architectures 30th International Conference On Machine Learning, Icml 2013. 115-123. |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2012 |
Vig E, Dorr M, Cox DD. Saliency-based selection of sparse descriptors for action recognition Proceedings - International Conference On Image Processing, Icip. 1405-1408. DOI: 10.1109/ICIP.2012.6467132 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2012 |
Vig E, Dorr M, Cox D. Space-variant descriptor sampling for action recognition based on saliency and eye movements Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7578: 84-97. DOI: 10.1007/978-3-642-33786-4_7 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2010 |
Sriram V, Cox D, Tsoi KH, Luk W. Towards an embedded biologically-inspired machine vision processor Proceedings - 2010 International Conference On Field-Programmable Technology, Fpt'10. 273-278. DOI: 10.1109/FPT.2010.5681487 |
1 |
|
| 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 |
1 |
|
| 2009 |
Mujica-Parodi LR, Strey HH, Frederick B, Savoy R, Cox D, Botanov Y, Tolkunov D, Rubin D, Weber J. Chemosensory cues to conspecific emotional stress activate amygdala in humans. Plos One. 4: e6415. PMID 19641623 DOI: 10.1371/journal.pone.0006415 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 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 |
1 |
|
| 2003 |
Cox DD, Savoy RL. Functional magnetic resonance imaging (fMRI) "brain reading": detecting and classifying distributed patterns of fMRI activity in human visual cortex. Neuroimage. 19: 261-70. PMID 12814577 DOI: 10.1016/S1053-8119(03)00049-1 |
1 |
|
| 2003 |
Meyers E, Cox DD, Sinha P. Neural responses to contextually defined faces Journal of Vision. 3: 101a. DOI: 10.1167/3.9.101 |
1 |
|
| Show low-probability matches. |