Bertram E. Shi

Affiliations: 
Engineering, Electronics and Electrical Hong Kong University of Science and Technology, Clear Water Bay, New Territories, Hong Kong 
Area:
Electronics and Electrical Engineering
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"Bertram Shi"
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Publications

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Sun L, Jia K, Yeung DY, et al. (2016) Human action recognition using factorized spatio-temporal convolutional networks Proceedings of the Ieee International Conference On Computer Vision. 11: 4597-4605
Chandrapala TN, Shi BE. (2015) Learning Slowness in a Sparse Model of Invariant Feature Detection. Neural Computation. 27: 1496-529
Dong X, Wang H, Chen Z, et al. (2015) Hybrid Brain Computer Interface via Bayesian integration of EEG and eye gaze International Ieee/Embs Conference On Neural Engineering, Ner. 2015: 150-153
Chandrapala TN, Shi BE, Triesch J. (2015) On the utility of sparse neural representations in adaptive behaving agents Proceedings of the International Joint Conference On Neural Networks. 2015
Wang H, Dong X, Chen Z, et al. (2015) Hybrid gaze/EEG brain computer interface for robot arm control on a pick and place task Proceedings of the Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embs. 2015: 1476-1479
Chen Z, Shi BE. (2015) A Two-stage model for inference of target identity during 2D cursor control from natural gaze trajectories Proceedings of the Annual International Conference of the Ieee Engineering in Medicine and Biology Society, Embs. 2015: 474-477
Chandrapala TN, Shi BE, Triesch J. (2015) Active maintenance of binocular correspondence leads to orientation alignment of visual receptive fields 5th Joint International Conference On Development and Learning and Epigenetic Robotics, Icdl-Epirob 2015. 98-103
Priamikov A, Narayan V, Shi BE, et al. (2015) The role of contrast sensitivity in the development of binocular vision: A computational study 5th Joint International Conference On Development and Learning and Epigenetic Robotics, Icdl-Epirob 2015. 33-38
Jia K, Sun L, Gao S, et al. (2015) Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold Neurocomputing. 160: 250-260
Peng Q, Shi BE. (2014) Neural population models for perception of motion in depth. Vision Research. 101: 11-31
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