Tai Sing Lee

According to our database1, Tai Sing Lee authored at least 37 papers between 1992 and 2022.

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Bibliography

2022
SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators.
CoRR, 2022

2021
Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons.
PLoS Comput. Biol., 2021

Recurrent circuits as multi-path ensembles for modeling responses of early visual cortical neurons.
CoRR, 2021

2019
Convolutional neural network models of V1 responses to complex patterns.
J. Comput. Neurosci., 2019

Recurrent Feedback Improves Feedforward Representations in Deep Neural Networks.
CoRR, 2019

A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2017
Transfer of View-manifold Learning to Similarity Perception of Novel Objects.
Proceedings of the 5th International Conference on Learning Representations, 2017

Learning to Associate Words and Images Using a Large-Scale Graph.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

Learning Robust Object Recognition Using Composed Scenes from Generative Models.
Proceedings of the 14th Conference on Computer and Robot Vision, 2017

2015
Stochastic feature mapping for PAC-Bayes classification.
Mach. Learn., 2015

Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction.
Proceedings of the 3rd International Conference on Learning Representations, 2015

2014
Sample Skewness as a Statistical Measurement of Neuronal Tuning Sharpness.
Neural Comput., 2014

2013
Learning Discriminative Sufficient Statistics Score Space for Classification.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

2012
Stochastic Feature Mapping for PAC-Bayes Classification
CoRR, 2012

2011
Hybrid generative-discriminative classification using posterior divergence.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Local field potentials indicate network state and account for neuronal response variability.
J. Comput. Neurosci., 2010

Accounting for network effects in neuronal responses using L1 regularized point process models.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

2009
The Block Diagonal Infinite Hidden Markov Model.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008
Efficient belief propagation for higher-order cliques using linear constraint nodes.
Comput. Vis. Image Underst., 2008

2006
Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

2005
Adaptive contrast gain control and information maximization.
Neurocomputing, 2005

Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

Scaling Laws in Natural Scenes and the Inference of 3D Shape.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

2004
Decoding visual input from V1 neuronal activity with particle filtering.
Neurocomputing, 2004

2003
Adaptation of the transfer function of the Hodgkin-Huxley (HH) neuronal model.
Neurocomputing, 2003

Adaptation of the temporal receptive fields of macaque V1 neurons.
Neurocomputing, 2003

Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels.
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003

2002
Spike train analysis for single trial data.
Neurocomputing, 2002

A unified model of spatial and object attention based on inter-cortical biased competition.
Neurocomputing, 2002

2001
A Hierarchical Markov Random Field Model for Figure-Ground Segregation.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2001

2000
What do V1 neurons tell us about saccadic suppression?
Neurocomputing, 2000

A Bayesian decision approach to evaluate local and contextual information in spike trains.
Neurocomputing, 2000

1999
An Information-Theoretic Framework for Understanding Saccadic Eye Movements.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1996
Image Representation Using 2D Gabor Wavelets.
IEEE Trans. Pattern Anal. Mach. Intell., 1996

1995
Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation.
Proceedings of the Procedings of the Fifth International Conference on Computer Vision (ICCV 95), 1995

1994
Representational Strategy in the Visual Cortex.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1992
Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model.
Proceedings of the Computer Vision, 1992


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