| Year |
Citation |
Score |
| 2020 |
Eckmann S, Klimmasch L, Shi BE, Triesch J. Active efficient coding explains the development of binocular vision and its failure in amblyopia. Proceedings of the National Academy of Sciences of the United States of America. PMID 32123102 DOI: 10.1073/pnas.1908100117 |
0.4 |
|
| 2019 |
Lelais A, Mahn J, Narayan V, Zhang C, Shi BE, Triesch J. Autonomous Development of Active Binocular and Motion Vision Through Active Efficient Coding. Frontiers in Neurorobotics. 13: 49. PMID 31379548 DOI: 10.3389/fnbot.2019.00049 |
0.4 |
|
| 2018 |
Wijesinghe LP, Triesch J, Shi BE. Robot End Effector Tracking Using Predictive Multisensory Integration. Frontiers in Neurorobotics. 12: 66. PMID 30386227 DOI: 10.3389/fnbot.2018.00066 |
0.4 |
|
| 2017 |
Zhu Q, Triesch J, Shi BE. Joint Learning of Binocularly Driven Saccades and Vergence by Active Efficient Coding. Frontiers in Neurorobotics. 11: 58. PMID 29163121 DOI: 10.3389/fnbot.2017.00058 |
0.4 |
|
| 2017 |
Wang Q, Rothkopf CA, Triesch J. A model of human motor sequence learning explains facilitation and interference effects based on spike-timing dependent plasticity. Plos Computational Biology. 13: e1005632. PMID 28767646 DOI: 10.1371/journal.pcbi.1005632 |
1 |
|
| 2016 |
Zhang C, Triesch J, Shi BE. An active-efficient-coding model of optokinetic nystagmus. Journal of Vision. 16: 10. PMID 27832268 DOI: 10.1167/16.14.10 |
0.4 |
|
| 2015 |
Hartmann C, Miner DC, Triesch J. Precise Synaptic Efficacy Alignment Suggests Potentiation Dominated Learning. Frontiers in Neural Circuits. 9: 90. PMID 26793070 DOI: 10.3389/fncir.2015.00090 |
1 |
|
| 2015 |
Hartmann C, Lazar A, Nessler B, Triesch J. Where's the Noise? Key Features of Spontaneous Activity and Neural Variability Arise through Learning in a Deterministic Network. Plos Computational Biology. 11: e1004640. PMID 26714277 DOI: 10.1371/journal.pcbi.1004640 |
1 |
|
| 2015 |
Triesch J, Zrenner C, Ziemann U. Modeling TMS-induced I-waves in human motor cortex. Progress in Brain Research. 222: 105-24. PMID 26541378 DOI: 10.1016/bs.pbr.2015.07.001 |
1 |
|
| 2015 |
Caligiore D, Mustile M, Cipriani D, Redgrave P, Triesch J, De Marsico M, Baldassarre G. Intrinsic motivations drive learning of eye movements: an experiment with human adults. Plos One. 10: e0118705. PMID 25775248 DOI: 10.1371/journal.pone.0118705 |
1 |
|
| 2015 |
Chandrapala TN, Shi BE, Triesch J. On the utility of sparse neural representations in adaptive behaving agents Proceedings of the International Joint Conference On Neural Networks. 2015. DOI: 10.1109/IJCNN.2015.7280640 |
1 |
|
| 2015 |
Teulière C, Forestier S, Lonini L, Zhang C, Zhao Y, Shi B, Triesch J. Self-calibrating smooth pursuit through active efficient coding Robotics and Autonomous Systems. 71: 3-12. DOI: 10.1016/j.robot.2014.11.006 |
1 |
|
| 2014 |
Scocchia L, Valsecchi M, Triesch J. Top-down influences on ambiguous perception: the role of stable and transient states of the observer. Frontiers in Human Neuroscience. 8: 979. PMID 25538601 DOI: 10.3389/fnhum.2014.00979 |
1 |
|
| 2014 |
Miner DC, Triesch J. Slicing, sampling, and distance-dependent effects affect network measures in simulated cortical circuit structures. Frontiers in Neuroanatomy. 8: 125. PMID 25414647 DOI: 10.3389/fnana.2014.00125 |
1 |
|
| 2014 |
Zheng P, Triesch J. Robust development of synfire chains from multiple plasticity mechanisms. Frontiers in Computational Neuroscience. 8: 66. PMID 25071537 DOI: 10.3389/fncom.2014.00066 |
1 |
|
| 2014 |
Priesemann V, Wibral M, Valderrama M, Pröpper R, Le Van Quyen M, Geisel T, Triesch J, Nikoli? D, Munk MH. Spike avalanches in vivo suggest a driven, slightly subcritical brain state. Frontiers in Systems Neuroscience. 8: 108. PMID 25009473 DOI: 10.3389/fnsys.2014.00108 |
1 |
|
| 2014 |
Savin C, Triesch J. Emergence of task-dependent representations in working memory circuits. Frontiers in Computational Neuroscience. 8: 57. PMID 24904395 DOI: 10.3389/fncom.2014.00057 |
1 |
|
| 2014 |
Scocchia L, Valsecchi M, Gegenfurtner KR, Triesch J. Differential effects of visual attention and working memory on binocular rivalry. Journal of Vision. 14: 13. PMID 24879860 DOI: 10.1167/14.5.13 |
1 |
|
| 2014 |
Rusu CV, Murakami M, Ziemann U, Triesch J. A model of TMS-induced I-waves in motor cortex. Brain Stimulation. 7: 401-14. PMID 24680789 DOI: 10.1016/j.brs.2014.02.009 |
1 |
|
| 2014 |
Krieg D, Triesch J. A unifying theory of synaptic long-term plasticity based on a sparse distribution of synaptic strength. Frontiers in Synaptic Neuroscience. 6: 3. PMID 24624080 DOI: 10.3389/fnsyn.2014.00003 |
1 |
|
| 2014 |
Eser J, Zheng P, Triesch J. Nonlinear dynamics analysis of a self-organizing recurrent neural network: chaos waning. Plos One. 9: e86962. PMID 24466301 DOI: 10.1371/journal.pone.0086962 |
1 |
|
| 2014 |
Deák GO, Krasno AM, Triesch J, Lewis J, Sepeta L. Watch the hands: infants can learn to follow gaze by seeing adults manipulate objects. Developmental Science. 17: 270-81. PMID 24387193 DOI: 10.1111/desc.12122 |
1 |
|
| 2014 |
Zhang C, Zhao Y, Triesch J, Shi BE. Intrinsically motivated learning of visual motion perception and smooth pursuit Proceedings - Ieee International Conference On Robotics and Automation. 1902-1908. DOI: 10.1109/ICRA.2014.6907110 |
1 |
|
| 2014 |
Vikram TN, Teuliere C, Zhang C, Shi BE, Triesch J. Autonomous learning of smooth pursuit and vergence through active efficient coding Ieee Icdl-Epirob 2014 - 4th Joint Ieee International Conference On Development and Learning and On Epigenetic Robotics. 448-453. DOI: 10.1109/DEVLRN.2014.6983022 |
1 |
|
| 2014 |
Priamikov A, Triesch J. OpenEyeSim-A platform for biomechanical modeling of oculomotor control Ieee Icdl-Epirob 2014 - 4th Joint Ieee International Conference On Development and Learning and On Epigenetic Robotics. 394-395. DOI: 10.1109/DEVLRN.2014.6983013 |
1 |
|
| 2014 |
Chandrashekhariah P, Spina G, Triesch J. A curious vision system for autonomous and cumulative object learning Communications in Computer and Information Science. 458: 195-211. DOI: 10.1007/978-3-662-44911-0_13 |
1 |
|
| 2014 |
Lonini L, Dimitrakakis C, Rothkopf CA, Triesch J. Generalization and interference in human motor control Computational and Robotic Models of the Hierarchical Organization of Behavior. 155-176. DOI: 10.1007/978-3-642-39875-9_8 |
1 |
|
| 2014 |
Chandrashekhariah P, Triesch J. Hide and seek: An active binocular object tracking system Visapp 2014 - Proceedings of the 9th International Conference On Computer Vision Theory and Applications. 3: 584-591. |
1 |
|
| 2013 |
Lonini L, Forestier S, Teulière C, Zhao Y, Shi BE, Triesch J. Robust active binocular vision through intrinsically motivated learning. Frontiers in Neurorobotics. 7: 20. PMID 24223552 DOI: 10.3389/fnbot.2013.00020 |
1 |
|
| 2013 |
Triesch J. Imitation learning based on an intrinsic motivation mechanism for efficient coding. Frontiers in Psychology. 4: 800. PMID 24204350 DOI: 10.3389/fpsyg.2013.00800 |
1 |
|
| 2013 |
Scocchia L, Valsecchi M, Gegenfurtner KR, Triesch J. Visual working memory contents bias ambiguous structure from motion perception. Plos One. 8: e59217. PMID 23527141 DOI: 10.1371/journal.pone.0059217 |
1 |
|
| 2013 |
Pamplona D, Triesch J, Rothkopf CA. Power spectra of the natural input to the visual system. Vision Research. 83: 66-75. PMID 23458676 DOI: 10.1016/j.visres.2013.01.011 |
1 |
|
| 2013 |
Zheng P, Dimitrakakis C, Triesch J. Network self-organization explains the statistics and dynamics of synaptic connection strengths in cortex. Plos Computational Biology. 9: e1002848. PMID 23300431 DOI: 10.1371/journal.pcbi.1002848 |
1 |
|
| 2013 |
Scocchia L, Cicchini GM, Triesch J. What's "up"? Working memory contents can bias orientation processing. Vision Research. 78: 46-55. PMID 23262055 DOI: 10.1016/j.visres.2012.12.003 |
1 |
|
| 2013 |
Lonini L, Zhao Y, Chandrashekhariah P, Shi BE, Triesch J. Autonomous learning of active multi-scale binocular vision 2013 Ieee 3rd Joint International Conference On Development and Learning and Epigenetic Robotics, Icdl 2013 - Electronic Conference Proceedings. DOI: 10.1109/DevLrn.2013.6652541 |
1 |
|
| 2013 |
Leitner J, Harding S, Chandrashekhariah P, Frank M, Förster A, Triesch J, Schmidhuber J. Learning visual object detection and localisation using icVision Biologically Inspired Cognitive Architectures. 5: 29-41. DOI: 10.1016/j.bica.2013.05.009 |
1 |
|
| 2013 |
Chandrashekhariah P, Spina G, Triesch J. Let it learn: A curious vision system for autonomous object learning Visapp 2013 - Proceedings of the International Conference On Computer Vision Theory and Applications. 2: 169-176. |
1 |
|
| 2012 |
Wang Q, Bolhuis J, Rothkopf CA, Kolling T, Knopf M, Triesch J. Infants in control: rapid anticipation of action outcomes in a gaze-contingent paradigm. Plos One. 7: e30884. PMID 22363507 DOI: 10.1371/journal.pone.0030884 |
1 |
|
| 2012 |
Jasso H, Triesch J, Deák G, Lewis JM. A unified account of gaze following Ieee Transactions On Autonomous Mental Development. 4: 257-272. DOI: 10.1109/TAMD.2012.2208640 |
1 |
|
| 2012 |
Zhao Y, Rothkopf CA, Triesch J, Shi BE. A unified model of the joint development of disparity selectivity and vergence control 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012. DOI: 10.1109/DevLrn.2012.6400876 |
1 |
|
| 2012 |
Marraffa R, Sperati V, Caligiore D, Triesch J, Baldassarre G. A bio-inspired attention model of anticipation in gaze-contingency experiments with infants 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012. DOI: 10.1109/DevLrn.2012.6400839 |
1 |
|
| 2012 |
Leitner J, Chandrashekhariah P, Harding S, Frank M, Spina G, Förster A, Triesch J, Schmidhuber J. Autonomous learning of robust visual object detection and identification on a humanoid 2012 Ieee International Conference On Development and Learning and Epigenetic Robotics, Icdl 2012. DOI: 10.1109/DevLrn.2012.6400826 |
1 |
|
| 2011 |
Saeb S, Weber C, Triesch J. Learning the optimal control of coordinated eye and head movements. Plos Computational Biology. 7: e1002253. PMID 22072953 DOI: 10.1371/journal.pcbi.1002253 |
1 |
|
| 2011 |
Weisswange TH, Rothkopf CA, Rodemann T, Triesch J. Bayesian cue integration as a developmental outcome of reward mediated learning. Plos One. 6: e21575. PMID 21750717 DOI: 10.1371/journal.pone.0021575 |
1 |
|
| 2011 |
Cangelosi A, Triesch J. From infant brains to robots: A report from the ieee international conference on development and learning (ICDL)-international conference on epigenetic robotics (EpiRob) 2011 conference Ieee Transactions On Autonomous Mental Development. 3: 276. DOI: 10.1109/TAMD.2011.2173009 |
1 |
|
| 2011 |
Toutounji H, Rothkopf CA, Triesch J. Scalable reinforcement learning through hierarchical decompositions for weakly-coupled problems 2011 Ieee International Conference On Development and Learning, Icdl 2011. DOI: 10.1109/DEVLRN.2011.6037351 |
1 |
|
| 2011 |
Lazar A, Pipa G, Triesch J. Emerging Bayesian priors in a self-organizing recurrent network Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6792: 127-134. DOI: 10.1007/978-3-642-21738-8_17 |
1 |
|
| 2010 |
Simmering VR, Triesch J, Deák GO, Spencer JP. To Model or Not to Model? A Dialogue on the Role of Computational Modeling in Developmental Science. Child Development Perspectives. 4: 152-158. PMID 21625352 DOI: 10.1111/j.1750-8606.2010.00134.x |
1 |
|
| 2010 |
Franz A, Triesch J. A unified computational model of the development of object unity, object permanence, and occluded object trajectory perception. Infant Behavior & Development. 33: 635-53. PMID 20864178 DOI: 10.1016/j.infbeh.2010.07.018 |
1 |
|
| 2010 |
Savin C, Joshi P, Triesch J. Independent component analysis in spiking neurons. Plos Computational Biology. 6: e1000757. PMID 20421937 DOI: 10.1371/journal.pcbi.1000757 |
1 |
|
| 2010 |
Rothkopf C, Weisswange T, Triesch J. Computational modeling of multisensory object perception Multisensory Object Perception in the Primate Brain. 21-53. DOI: 10.1007/978-1-4419-5615-6_3 |
1 |
|
| 2009 |
Lazar A, Pipa G, Triesch J. SORN: a self-organizing recurrent neural network. Frontiers in Computational Neuroscience. 3: 23. PMID 19893759 DOI: 10.3389/neuro.10.023.2009 |
1 |
|
| 2009 |
Saeb S, Weber C, Triesch J. Goal-directed learning of features and forward models. Neural Networks : the Official Journal of the International Neural Network Society. 22: 586-92. PMID 19616917 DOI: 10.1016/j.neunet.2009.06.049 |
1 |
|
| 2009 |
Savin C, Triesch J, Meyer-Hermann M. Epileptogenesis due to glia-mediated synaptic scaling. Journal of the Royal Society, Interface / the Royal Society. 6: 655-68. PMID 18986963 DOI: 10.1098/rsif.2008.0387 |
1 |
|
| 2009 |
Triesch J, Zhang Z. Report on the IEEE 8th International Conference on Development and Learning (ICDL-2009) Ieee Transactions On Autonomous Mental Development. 1: 154. DOI: 10.1109/TAMD.2010.2041951 |
1 |
|
| 2009 |
Weber C, Triesch J. Goal-directed feature learning Proceedings of the International Joint Conference On Neural Networks. 3319-3326. DOI: 10.1109/IJCNN.2009.5179064 |
1 |
|
| 2009 |
Saeb S, Weber C, Triesch J. A neural model for the adaptive control of saccadic eye movements Proceedings of the International Joint Conference On Neural Networks. 2740-2747. DOI: 10.1109/IJCNN.2009.5178878 |
1 |
|
| 2009 |
Joshi P, Triesch J. Rules for information maximization in spiking neurons using intrinsic plasticity Proceedings of the International Joint Conference On Neural Networks. 1456-1461. DOI: 10.1109/IJCNN.2009.5178625 |
1 |
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| 2009 |
Rothkopf CA, Weisswange TH, Triesch J. Learning independent causes in natural images explains the spacevariant oblique effect 2009 Ieee 8th International Conference On Development and Learning, Icdl 2009. DOI: 10.1109/DEVLRN.2009.5175534 |
1 |
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| 2009 |
Weisswange TH, Rothkopf CA, Rodemanny T, Triesch J. Can reinforcement learning explain the development of causal inference in multisensory integration? 2009 Ieee 8th International Conference On Development and Learning, Icdl 2009. DOI: 10.1109/DEVLRN.2009.5175531 |
1 |
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| 2009 |
Joshi P, Triesch J. Optimizing generic neural microcircuits through reward modulated STDP Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5768: 239-248. DOI: 10.1007/978-3-642-04274-4_25 |
1 |
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| 2009 |
Gerhard F, Savin C, Triesch J. A robust biologically plausible implementation of ICA-like learning Esann 2009 Proceedings, 17th European Symposium On Artificial Neural Networks - Advances in Computational Intelligence and Learning. 147-152. |
1 |
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| 2009 |
Weber C, Triesch J. Implementations and implications of foveated vision Recent Patents On Computer Science. 2: 75-85. |
1 |
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| 2008 |
Robinson A, Triesch J. Task-specific modulation of memory for object features in natural scenes. Advances in Cognitive Psychology / University of Finance and Management in Warsaw. 4: 1-14. PMID 20517528 DOI: 10.2478/v10053-008-0037-9 |
1 |
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| 2008 |
Robinson A, Manzi A, Triesch J. Object perception is selectively slowed by a visually similar working memory load. Journal of Vision. 8: 7.1-13. PMID 19146273 DOI: 10.1167/8.16.7 |
1 |
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| 2008 |
Weber C, Triesch J. A sparse generative model of V1 simple cells with intrinsic plasticity. Neural Computation. 20: 1261-84. PMID 18194109 DOI: 10.1162/neco.2007.02-07-472 |
1 |
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| 2008 |
Jasso H, Triesch J, Deák G. A reinforcement learning model of social referencing 2008 Ieee 7th International Conference On Development and Learning, Icdl. 286-291. DOI: 10.1109/DEVLRN.2008.4640844 |
1 |
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| 2008 |
Kim H, Jasso H, Deák G, Triesch J. A robotic model of the development of gaze following 2008 Ieee 7th International Conference On Development and Learning, Icdl. 238-243. DOI: 10.1109/DEVLRN.2008.4640836 |
1 |
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| 2008 |
Franz A, Triesch J. Modeling the development of causality and occlusion perception in infants 2008 Ieee 7th International Conference On Development and Learning, Icdl. 174-179. DOI: 10.1109/DEVLRN.2008.4640825 |
1 |
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| 2008 |
Joshi P, Triesch J. A globally asymptotically stable plasticity rule for firing rate homeostasis Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 567-576. DOI: 10.1007/978-3-540-87559-8_59 |
1 |
|
| 2008 |
Lazar A, Pipa G, Triesch J. Predictive coding in cortical microcircuits Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5164: 386-395. DOI: 10.1007/978-3-540-87559-8_40 |
1 |
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| 2008 |
Weber C, Triesch J. From exploration to planning Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5163: 740-749. DOI: 10.1007/978-3-540-87536-9_76 |
1 |
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| 2008 |
Willadsen K, Triesch J, Wiles J. Understanding robustness in random boolean networks Artificial Life Xi: Proceedings of the 11th International Conference On the Simulation and Synthesis of Living Systems, Alife 2008. 694-701. |
1 |
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| 2007 |
Lazar A, Pipa G, Triesch J. Fading memory and time series prediction in recurrent networks with different forms of plasticity. Neural Networks : the Official Journal of the International Neural Network Society. 20: 312-22. PMID 17556114 DOI: 10.1016/j.neunet.2007.04.020 |
1 |
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| 2007 |
Triesch J. Synergies between intrinsic and synaptic plasticity mechanisms. Neural Computation. 19: 885-909. PMID 17348766 DOI: 10.1162/neco.2007.19.4.885 |
1 |
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| 2007 |
Triesch J, Jasso H, Deák GO. Emergence of mirror neurons in a model of gaze following Adaptive Behavior. 15: 149-165. DOI: 10.1177/1059712307078654 |
1 |
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| 2007 |
Murphy-Chutorian E, Triesch J. Shared features for scalable appearance-based object recognition Proceedings - Seventh Ieee Workshop On Applications of Computer Vision, Wacv 2005. 16-21. DOI: 10.1109/ACVMOT.2005.109 |
1 |
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| 2007 |
Butko NJ, Triesch J. Learning sensory representations with intrinsic plasticity Neurocomputing. 70: 1130-1138. DOI: 10.1016/j.neucom.2006.11.006 |
1 |
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| 2007 |
Teuscher C, Triesch J. To each his own: The caregiver's role in a computational model of gaze following Neurocomputing. 70: 2166-2180. DOI: 10.1016/j.neucom.2006.02.023 |
1 |
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| 2007 |
Jasso H, Triesch J. Learning to attend -from bottom-up to top-down Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4840: 106-122. |
1 |
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| 2006 |
Eckes C, Triesch J, von der Malsburg C. Analysis of cluttered scenes using an elastic matching approach for stereo images. Neural Computation. 18: 1441-71. PMID 16764510 DOI: 10.1162/neco.2006.18.6.1441 |
1 |
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| 2006 |
Triesch J, Teuscher C, Deák GO, Carlson E. Gaze following: why (not) learn it? Developmental Science. 9: 125-47. PMID 16472311 DOI: 10.1111/j.1467-7687.2006.00470.x |
1 |
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| 2006 |
Triesch J, Teuscher C, Deák GO. Response: Gaze following: How (not) to derive predictions from a computational model Developmental Science. 9: 156-157. DOI: 10.1111/j.1467-7687.2006.00474.x |
1 |
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| 2005 |
Droll JA, Hayhoe MM, Triesch J, Sullivan BT. Task demands control acquisition and storage of visual information. Journal of Experimental Psychology. Human Perception and Performance. 31: 1416-38. PMID 16366799 DOI: 10.1037/0096-1523.31.6.1416 |
1 |
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| 2005 |
Triesch J. A gradient rule for the plasticity of a neuron's intrinsic excitability Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3696: 65-70. DOI: 10.1007/11550822_11 |
1 |
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| 2005 |
Jasso H, Triesch J. A virtual reality platform for modeling cognitive development Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3575: 211-224. DOI: 10.1007/11521082_12 |
1 |
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| 2005 |
Chen HJ, Lee KC, Murphy-Chutorian E, Triesch J. Toward a unified probabilistic framework for object recognition and segmentation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3804: 108-117. |
1 |
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| 2005 |
Triesch J. Synergies between intrinsic and synaptic plasticity in individual model neurons Advances in Neural Information Processing Systems. |
1 |
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| 2004 |
Kim H, York G, Burton G, Murphy-Chutorian E, Triesch J. Design of an anthropomorphic robot head for studying autonomous development and learning Proceedings - Ieee International Conference On Robotics and Automation. 2004: 3506-3511. |
1 |
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| 2004 |
Kähler O, Denzler J, Triesch J. Hierarchical sensor data fusion by probabilistic cue integration for robust 3-D object tracking Proceedings of the Ieee Southwest Symposium On Image Analysis and Interpretation. 6: 216-220. |
1 |
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| 2003 |
Triesch J, Ballard DH, Hayhoe MM, Sullivan BT. What you see is what you need. Journal of Vision. 3: 86-94. PMID 12678628 DOI: 10:1167/3.1.9 |
1 |
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| 2003 |
Wiewiora E, Berg D, Triesch J, Hashiyama T. Learning optimal gaze decomposition Journal of Vision. 3: 437a. DOI: 10.1167/3.9.437 |
1 |
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| 2003 |
Droll JA, Hayhoe MM, Triesch J, Sullivan BT. Task relevance of object features modulates the content of visual working memory Journal of Vision. 3: 28a. DOI: 10.1167/3.9.28 |
1 |
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| 2002 |
Triesch J, Ballard DH, Jacobs RA. Fast temporal dynamics of visual cue integration. Perception. 31: 421-34. PMID 12018788 DOI: 10.1167/1.3.463 |
1 |
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| 2002 |
Triesch J, Sullivan BT, Hayhoe MM, Ballard DH. Transient visual representations: A change blindness approach Journal of Vision. 2: 244a. DOI: 10.1167/2.7.244 |
1 |
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| 2002 |
Triesch J, Von der Malsburg C. Classification of hand postures against complex backgrounds using elastic graph matching Image and Vision Computing. 20: 937-943. DOI: 10.1016/S0262-8856(02)00100-2 |
1 |
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| 2002 |
Triesch J, Sullivan BT, Hayhoe MM, Ballard DH. Saccade contingent updating in virtual reality Eye Tracking Research and Applications Symposium (Etra). 95-102. |
1 |
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| 2002 |
Hayhoe MM, Ballard DH, Triesch J, Shinoda H, Aivar P, Sullivan B. Vision in natural and virtual environments Eye Tracking Research and Applications Symposium (Etra). 7-13. |
1 |
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| 2001 |
Triesch J, von der Malsburg C. Democratic integration: self-organized integration of adaptive cues. Neural Computation. 13: 2049-74. PMID 11516357 DOI: 10.1162/089976601750399308 |
1 |
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| 2001 |
Triesch J, Von Der Malsburg C. A system for person-independent hand posture recognition against complex backgrounds Ieee Transactions On Pattern Analysis and Machine Intelligence. 23: 1449-1453. DOI: 10.1109/34.977568 |
1 |
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| 2000 |
Triesch J, Von Der Malsburg C. Self-organized integration of adaptive visual cues for face tracking Proceedings - 4th Ieee International Conference On Automatic Face and Gesture Recognition, Fg 2000. 102-107. DOI: 10.1109/AFGR.2000.840619 |
1 |
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| 1999 |
Becker M, Kefalea E, Maël E, Von Der Malsburg C, Pagel M, Triesch J, Vorbrüggen JC, Würtz RP, Zadel S. GripSee: a gesture-controlled robot for object perception and manipulation Autonomous Robots. 6: 203-221. DOI: 10.1023/A:1008839628783 |
1 |
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| 1998 |
Triesch J, Von Der Malsburg C. A gesture interface for human-robot-interaction Proceedings - 3rd Ieee International Conference On Automatic Face and Gesture Recognition, Fg 1998. 546-551. DOI: 10.1109/AFGR.1998.671005 |
1 |
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| 1996 |
Triesch J, Von Der Malsburg C. Binding- A proposed experiment and a model Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1112: 685-690. DOI: 10.1007/3-540-61510-5_116 |
1 |
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| 1996 |
Triesch J, von der Malsburg C. Robust classification of hand postures against complex backgrounds Proceedings of the International Conference On Automatic Face and Gesture Recognition. 170-175. |
1 |
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