Lab's SIG-V meetings
From Ilab internal
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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.
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Participants
- Haiying Guan
- Justin Muncaster
- Daniel Vaquero
- Jae Sik Chang
- Taehee Lee
- Sehwan Kim
- Longbin Chen
- Tobias Höllerer
- Matthew Turk
- Feel free to put your name here if you are interested in joining us ...
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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(?))
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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]
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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
- [MAE Rehearsal, Thursday, Dec. 7, 2006 100pm, by Longbin]
- Particle Filter Friday, Dec.1 2006 3:30, by Jae Sik [ Slides ]
- Part-based Object Detection Thursday, Nov.16 2006 200pm, by Longbin [ Slides ]
- A 3D reconstruction Framework, Thursday, Nov.16 2006 200pm, by Taehee [ Slides ]
- Image Category Classification Thursday, Nov.9 2006 200pm, by Longbin [ Slides ]
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External Links
- Shape Matching, UC Berkeley
- Caltech Vision Group
- Digital Video and Multimedia Lab, Columbia, Shih-Fu Chang
- Center for Image and Vision Science, UCLA, Alan Yuille & Song-chun Zhu
- Object Recognition Tutorial, ICCV '05 Beijing
- CVPR 2006 and the conference program
- Kevin Murphy's Introduction to Bayesian Networks
