Tai Sing Lee

Tai Sing Lee, Xiaogang Yan, T. Lee, 2000, Proceedings of the 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society (Cat. No.00CH37143).

Adaptive contrast gain control and information maximization

Tai Sing Lee, Yuguo Yu, T. Lee, 2005, Neurocomputing.

Neural Correlate of Visual Familiarity in Macaque Area V2

Tai Sing Lee, Carl R Olson, Ge Huang, 2018, The Journal of Neuroscience.

Decoding visual input from V1 neuronal activity with particle filtering

Tai Sing Lee, Ryan C. Kelly, T. Lee, 2004, Neurocomputing.

Stochastic feature mapping for PAC-Bayes classification

Tai Sing Lee, Yuncai Liu, Xiong Li, 2015, Machine Learning.

Relating functional connectivity in V1 neural circuits and 3D natural scenes using Boltzmann machines

Tai Sing Lee, Xiong Li, Jason M. Samonds, 2016, Vision Research.

The role of spiking nonlinearity in contrast gain control and information transmission

Tai Sing Lee, Brian Potetz, Yuguo Yu, 2005, Vision Research.

Statistical correlations between two-dimensional images and three-dimensional structures in natural scenes.

Tai Sing Lee, Brian Potetz, T. Lee, 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

Hybrid generative-discriminative classification using posterior divergence

Tai Sing Lee, Xiong Li, Yuncai Liu, 2011, CVPR 2011.

Statistical modeling of spiking activity in large scale neuronal networks

Tai Sing Lee, Ryan C. Kelly, T. Lee, 2010 .

Contextual Influences in Visual Processing

Tai Sing Lee, T. Lee, 2008 .

Complexity and diversity in sparse code priors improve receptive field characterization of Macaque V1 neurons

Tai Sing Lee, Yimeng Zhang, Ziniu Wu, 2019, PLoS Comput. Biol..

Contextual Recurrent Convolutional Model for Robust Visual Learning

Tai Sing Lee, Yimeng Zhang, Siming Yan, 2018 .

The role of V1 in shape representation

Tai Sing Lee, Song-Chun Zhu, David Mumford, 1997 .

Large-scale two-photon imaging revealed super-sparse population codes in the V1 superficial layer of awake monkeys

Tai Sing Lee, Ming Li, Fang Liu, 2018, eLife.

Adaptation of the temporal receptive fields of macaque V1 neurons

Tai Sing Lee, Pedram Afshar, Yuguo Yu, 2003, Neurocomputing.

Development of Natural Scene Representation in Primary Visual Cortex Requires Early Postnatal Experience

Tai Sing Lee, Steven M. Chase, Sandra J. Kuhlman, 2020, Current Biology.

Image Representation Using 2D Gabor Wavelets

Tai Sing Lee, T. Lee, 1996, IEEE Trans. Pattern Anal. Mach. Intell..

Bayesian MCMC Bandwidth Estimation on Kernel Density Estimation for Flood Frequency Analysis

Tai Sing Lee, Jonghyun Lee, Taha B. M. J. Ouarda, 2009 .

A Bayesian decision approach to evaluate local and contextual information in spike trains

Tai Sing Lee, Xiaogang Yan, Elise Cassidente, 2000, Neurocomputing.

Accounting for network effects in neuronal responses using L1 regularized point process models

Tai Sing Lee, Robert E. Kass, Matthew A. Smith, 2010, NIPS.

Emergence of opposite neurons in a decentralized firing-rate model of multisensory integration

Tai Sing Lee, Ho Yin Chau, Xueyan Niu, 2019, bioRxiv.

Concurrent Multisensory Integration and Segregation with Complementary Congruent and Opposite Neurons

Tai Sing Lee, Si Wu, Wenhao Zhang, 2018 .

Region competition: unifying snakes, region growing, energy/Bayes/MDL for multi-band image segmentation

Tai Sing Lee, Alan L. Yuille, Song Chun Zhu, 1995, Proceedings of IEEE International Conference on Computer Vision.

The Visual System's Internal Model of the World

Tai Sing Lee, T. Lee, 2015, Proceedings of the IEEE.

Neural dynamics of image representation in the primary visual cortex

Tai Sing Lee, Lei Liu, Xiaogang Yan, 2012, Journal of Physiology-Paris.

Adaptation of the Transfer Function of the Hodgkin-Huxley (Hh) Neuronal Model

Tai Sing Lee, Yuguo Yu, T. Lee, 2002, Neurocomputing.

Encoding of 3D Structure in the Visual Scene: A New Conceptualization

Tai Sing Lee, Christopher W. Tyler, 2013 .

Representational strategy in the visual cortex

Tai Sing Lee, 1994, Proceedings of 1st International Conference on Image Processing.

Between Two Neurons Statistical Assessment of Time-Varying Dependency

Tai Sing Lee, Hiroyuki Ito, Robert E. Kass, 2011 .

Scaling Laws in Natural Scenes and the Inference of 3D Shape

Tai Sing Lee, Brian Potetz, 2005, NIPS.

Learning Robust Object Recognition Using Composed Scenes from Generative Models

Hao Wang, Tai Sing Lee, Yimeng Zhang, 2017, 2017 14th Conference on Computer and Robot Vision (CRV).

Cooperative and Competitive Interactions Facilitate Stereo Computations in Macaque Primary Visual Cortex

Tai Sing Lee, Jason M Samonds, Brian R Potetz, 2009, The Journal of Neuroscience.

A Normative Theory for Causal Inference and Bayes Factor Computation in Neural Circuits

Tai Sing Lee, Brent Doiron, Wenhao Zhang, 2019, NeurIPS.

Sample Skewness as a Statistical Measurement of Neuronal Tuning Sharpness

Tai Sing Lee, Brian Potetz, Jason M. Samonds, 2014, Neural Computation.

Efficient belief propagation for higher-order cliques using linear constraint nodes

Tai Sing Lee, Brian Potetz, T. Lee, 2008, Comput. Vis. Image Underst..

An Information-Theoretic Framework for Understanding Saccadic Eye Movements

Tai Sing Lee, Stella X. Yu, Stella X. Yu, 1999, NIPS.

Optimal synchrony state for maximal information transmission

Tai Sing Lee, Feng Liu, Yuguo Yu, 2004, Neuroreport.

A Model Cortical Network for Spatiotemporal Sequence Learning and Prediction

Tai Sing Lee, Jielin Qiu, Ge Huang, 2018 .

Learning Discriminative Sufficient Statistics Score Space for Classification

Bin Wang, Tai Sing Lee, Xiong Li, 2013, ECML/PKDD.

Distributed Sampling-based Bayesian Inference in Coupled Neural Circuits

Wen-Hao Zhang, Tai Sing Lee, Brent Doiron, 2020, bioRxiv.

A unified model of spatial and object attention based on inter-cortical biased competition

Tai Sing Lee, Gustavo Deco, G. Deco, 2002, Neurocomputing.

Learning to Associate Words and Images Using a Large-Scale Graph

Tai Sing Lee, Haonan Sun, Heqing Ya, 2017, 2017 14th Conference on Computer and Robot Vision (CRV).

What do V1 neurons tell us about saccadic suppression?

Tai Sing Lee, Stella X. Yu, Stella X. Yu, 2000, Neurocomputing.

Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction pdf

Tai Sing Lee, Yizhou Wang, Mingmin Zhao, 2014, ICLR.

Computational models of perceptual organization

Tai Sing Lee, Jianbo Shi, Stella X. Yu, 2003 .

Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video

Tai Sing Lee, Thomas S. Stepleton, 2005, 2005 Seventh IEEE Workshops on Applications of Computer Vision (WACV/MOTION'05) - Volume 1.

Hierarchical Bayesian inference in the visual cortex.

Tai Sing Lee, David Mumford, D. Mumford, 2003, Journal of the Optical Society of America. A, Optics, image science, and vision.

Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels

Tai Sing Lee, Ryan C. Kelly, T. Lee, 2003, NIPS.

The Block Diagonal Infinite Hidden Markov Model

Tai Sing Lee, Zoubin Ghahramani, Geoffrey J. Gordon, 2009, AISTATS.

Convolutional neural network models of V1 responses to complex patterns

Tai Sing Lee, Ming Li, Shiming Tang, 2018 .

Toward versatile structural modification for bayesian nonparametric time series models

Tai Sing Lee, Thomas Stepleton, T. Lee, 2010 .