Lab's SIG-V meetings

From Ilab internal

Contents

Summary

Ilab's PhD students who are working on vision would "get together to discuss research in computer vision (and related fields)". The group meets weekly or biweekly. Each time there would be one or two 10-15 minute presentations. Also we will talk about the progress of our research, to discuss possible solutions and to share new ideas with each other. We might also invite some students from other vision groups in UCSB to talk about their research. The meetings are casual and informal.

Participants

Computer Vision Areas

Justin:

  • HMMs
  • Bayesian networks (and DBNs)
  • EM algorithm
  • Simulated & Deterministic Annealing


Longbin:

  • SVM
  • PCA, SVD, ICA, LDA, …
  • Adaboost learning
  • Active shape and appearance models


Jae Sik

  • Particle filtering
  • MCMC methods


Taehee

  • Level set methods
  • SIFT
  • Kalman filtering (and EKF)


Haiying

  • Dimensionality reduction methods (Isosom, MDS, LLE, self-organizing maps…)
  • Multiple Hypothesis tracking/Non-parametric tracking
  • Digital Signal Processing


Daniel:

  • Markov random fields
  • Optimization Techniques(Linear Programming, Quadratic Optimization, Lagrange Multipliers, and Graph Cut...)
  • Information Theory(Entropy, Boltzmann Machine(?))

Schedule for Spring 2007

  • [Shape Matching and Object Recognition, April 11. 4pm, 2007, by Longbin]
  • [Nonlinear Dimension Reduction(I), April 18, 4pm, 2007 Haiying]
  • [Nonlinear Dimension Reduction(II), April 25, 4pm, 2007 Haiying]
  • [Multiple Hypothesis Tracking, May 2, 4pm, 2007 Justin]
  • [Information Theory, May 9, 4pm, 2007 Daniel]
  • [SIFT feature, May 16, 4pm, 2007 Taehee]
  • [TBD, May 23, 4pm, 2007 Jaesik]
  • [TBD, May 30, 4pm, 2007 Sheng]
  • [TBD, June 6, 4pm, 2007 Longbin]
  • [Defense Rehearsal, June 13, 4pm, 2007 Haiying]

Past Talks

Winter 2007

  • [Simulated & Deterministic Annealing, Jan.22nd, 10am, 2007, by Justin]
  • [Introduction to Kalman Filter, Feb. 20th 5pm, 2007, by Taehee] [Slides] ]
  • [An Introduction to Markov Random Fields, Feb 12th 10am, 2007, by Daniel [Slides]]
  • [Discriminant subspace analysis, Monday, Feb. 5th, 2007, by Sheng Zhang, [Slides] ]
  • [ASM & AAM, Monday, Jan. 29, 2007 10am, by Longbin [Slides] ]
  • [Introduction to graphical models, Monday, Jan 22nd, 2007, by Justin] [ Slides ]
  • [Nonparametric Belief Propagation, Tuesday, Jan. 16, 2007 500pm, by Haiying] [ Slides ]


Fall 2006

External Links