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Tai Sing Lee: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Tai Sing Lee, David Mumford, Alan L. Yuille
    Texture Segmentation by Minimizing Vector-Valued Energy Functionals: The Coupled-Membrane Model. [Citation Graph (0, 0)][DBLP]
    ECCV, 1992, pp:165-173 [Conf]
  2. Stella X. Yu, Tai Sing Lee, Takeo Kanade
    A Hierarchical Markov Random Field Model for Figure-Ground Segregation. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2001, pp:118-133 [Conf]
  3. Song Chun Zhu, Tai Sing Lee, Alan L. Yuille
    Region Competition: Unifying Snakes, Region Growing, Energy/Bayes/MDL for Multi-band Image Segmentation. [Citation Graph (0, 0)][DBLP]
    ICCV, 1995, pp:416-0 [Conf]
  4. Tai Sing Lee
    Representational Strategy in the Visual Cortex. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:590-594 [Conf]
  5. Ryan Kelly, Tai Sing Lee
    Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels. [Citation Graph (0, 0)][DBLP]
    NIPS, 2003, pp:- [Conf]
  6. Tai Sing Lee, Stella X. Yu
    An Information-Theoretic Framework for Understanding Saccadic Eye Movements. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:834-840 [Conf]
  7. Brian Potetz, Tai Sing Lee
    Scaling Laws in Natural Scenes and the Inference of 3D Shape. [Citation Graph (0, 0)][DBLP]
    NIPS, 2005, pp:- [Conf]
  8. Thomas Stepleton, Tai Sing Lee
    Using Co-Occurrence and Segmentation to Learn Feature-Based Object Models from Video. [Citation Graph (0, 0)][DBLP]
    WACV/MOTION, 2005, pp:129-134 [Conf]
  9. Elise Cassidente, Xiaogang Yan, Tai Sing Lee
    A Bayesian decision approach to evaluate local and contextual information in spike trains. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:1013-1020 [Journal]
  10. Gustavo Deco, Tai Sing Lee
    A unified model of spatial and object attention based on inter-cortical biased competition. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:775-781 [Journal]
  11. Richard Romero, Tai Sing Lee
    Spike train analysis for single trial data. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2002, v:44, n:, pp:597-603 [Journal]
  12. Richard Romero, Yuguo Yu, Pedram Afshar, Tai Sing Lee
    Adaptation of the temporal receptive fields of macaque V1 neurons. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:135-140 [Journal]
  13. Stella X. Yu, Tai Sing Lee
    What do V1 neurons tell us about saccadic suppression? [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2000, v:32, n:, pp:271-277 [Journal]
  14. Yuguo Yu, Tai Sing Lee
    Adaptation of the transfer function of the Hodgkin-Huxley (HH) neuronal model. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2003, v:52, n:, pp:441-445 [Journal]
  15. Yuguo Yu, Tai Sing Lee
    Adaptive contrast gain control and information maximization. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:65, n:, pp:111-116 [Journal]
  16. Tai Sing Lee
    Image Representation Using 2D Gabor Wavelets. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1996, v:18, n:10, pp:959-971 [Journal]
  17. Jason M. Samonds, Brian Potetz, Tai Sing Lee
    Neurophysiological Evidence of Cooperative Mechanisms for Stereo Computation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1201-1208 [Conf]

  18. Efficient belief propagation for higher-order cliques using linear constraint nodes. [Citation Graph (, )][DBLP]

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