CSC 2521 Calendar

Note: the schedule is subject to change.

Day	Topic	Readings
Tue, Jan 10	Introduction
Thu, Jan 12	Gaussians, PCA, PPCA	Optional readings: Conventional PCA: C. Bishop, Neural Networks for Pattern Recognition, pages 310–313 Probabilistic PCA: M. E. Tipping and C. M. Bishop. Probabilistic principal component analysis. J. of the Royal Statistical Society, Series B 61(3), 611–622. 1999. [paper] Varieties of PCA: A. Hertzmann, Introduction to Bayesian Learning, Chapter 7 [web]
Tue, Jan 17	Paper presentation and discussion	V. Blanz, T. Vetter. A Morphable Model for the Synthesis of 3D Faces. SIGGRAPH 99. [web] [Ren] B. Allen, B. Curless, Z. Popović. The Space of all body shapes and sizes. SIGGRAPH 2003. [web] [Martin] A. Efros, T. Leung. Texture synthesis by Non-Parametric Sampling. ICCV 99. [web] [Todd]
Tue, Jan 24	No class
Thu, Jan 26	Paper presentation and discussion	W. Matusik, M. Zwicker, F. Durand. Texture Design Using a Simplicial Complex of Morphable Textures. SIGGRAPH 2005. [paper] [Ian] Y. Liu et al. Near-regular texture analysis and synthesis. SIGGRAPH 2004. [web] [Tom] Y.-Y. Chuang et al. A Bayesian Approach to Digital Image Matting. CVPR 2001. [web] [Vincent] A. Hertzmann, C. Jacobs, N. Oliver, B. Curless, D. Salesin. Image Analogies. SIGGRAPH 2001. [web] [Jake]
Tue, Jan 31	Paper presentation and discussion	H. Chen, Z. Liu, C. F. Rose III, Y.-Q. Xu, H.-Y. Shum, D. Salesin. Example-Based Composite Sketching of Human Portraits. NPAR 2004. [paper] [Jacky] J. Sun, L. Yuan, J. Jia, H.-Y. Shum. Image completion with structure propagation. SIGGRAPH 2005. [paper] [Tom] R. Jagnow, J. Dorsey, H. Rushmeier. Stereological Techniques for Solid Textures. [web] [Martin] V. Cheung, B. J. Frey, N. Jojic. Video epitomes. CVPR 2005. [web] [Vincent]
Tue, Feb 7	Paper presentation and discussion	A. Sharf, M. Alexa, D. Cohen-Or. Context-based Surface Completion. SIGGRAPH 2004 [web] [Ren] J. B. Tenenbaum, W. T. Freeman. Separating style and content with bilinear models. Neural Computation 12 (6), 1247-1283. [web] [paper] [Jacky] M. Kazhdan et al. Modeling by Example. SIGGRAPH 2004. [web] [Elizabeth] A. Schödl, R. Szeliski, D. H. Salesin, I. Essa. Video textures. SIGGRAPH 2000. [web] [Sami]
Tue, Feb 14	Physics-based animation	A. Witkin, D. Baraff. Physically-Based Modeling. SIGGRAPH 2001 Course notes. [web]. Important chapters: Differential Equations, Particle Dynamics, Rigid-Body Dynamics See also: A. Witkin, M. Kass. Spacetime Constraints. SIGGRAPH 1988. [paper]
Tue, Feb 21	Reading week
Tue, Feb 28	Paper presentation and discussion	K. Sims. Evolving Virtual Creatures. SIGGRAPH 1994. [web] [video], [related work] [more video] [Todd] R. Grzeszczuk, D. Terzopoulos, G. Hinton. NeuroAnimator: Fast Neural Network Emulation and Control of Physics-Based Models. SIGGRAPH 98. [web] [Ren] J.-C. Wu and Z. Popović. Realistic Modeling of Bird Flight Animations. SIGGRAPH 2003 [web] [Ian] C. K. Liu, A. Hertzmann, Z. Popović. Learning Physics-Based Motion Style with Nonlinear Inverse Optimization. SIGGRAPH 2005. [web] [Sami]
Tue, Mar 7	Reinforcement learning MDPs, Value Functions Value Iteration Dynamic Programming Monte Carlo Policy Evaluation TD-Learning Policy Gradient	Barto and Sutton, Reinforcement Learning: An Introduction, 1998. Chapters 1-1.5, 3, 4-4.5, 5-5.1, 6-6.3, 6.5-6.6,7.3. [PDF] [HTML] G. Lawrence, N. Cowan, S. Russell, Efficient Gradient Estimation for Motor Control Learning. UAI-03. [paper], [videos] Section 2 only
Tue, Mar 14	Paper presentation and discussion	R. M. Alexander. Walking Made Simple. Science (Perspectives). 2005. [paper] [enhanced web version] T. McGeer. Passive Dynamic Walking. IJRR 1990. [paper] [video] [Elizabeth] C. Harris and D. Wolpert. Signal-dependent noise determines motor planning. Nature, 394:780-784, 1998. [paper] [commentary paper] G. Lawrence, N. Cowan, S. Russell, Efficient Gradient Estimation for Motor Control Learning. UAI-03. [paper], [videos] [Jacky] P. Abbeel, A. Y. Ng. Learning First Order Markov Models for Control. NIPS 2004. [paper] [slides] P. Abbeel, A. Y. Ng. Modeling Vehicular Dynamics, with Application to Modeling Helicopters. NIPS 2005. [paper] [poster] [Tom]
Tue, Mar 21	Paper presentation and discussion	S. H. Collins, A. L. Ruina, R. Tedrake, M. Wisse, Efficient bipedal robots based on passive-dynamic Walkers, Science, 307: 1082-1085, 2005 [web] [Martin] R. Tedrake, T. W. Zhang, H. S. Seung. Stochastic Policy Gradient Reinforcement Learning on a Simple 3D Biped. IROS 2004. [paper] [Elizabeth] M. H. Dickinson, C. T. Farley, R. J. Full, M. A. R. Koehl, R. Kram, S. Lehman. How Animals Move: An Integrative View. Science (2000). [paper] [Sami] K. P. Körding, D. Wolpert. Bayesian Integration in Sensorimotor Learning, Nature 427:244-247 (2004) [paper] [Todd]
Tue, Mar 28	Hidden-Markov Models; Gaussian Processes	L. Rabiner, A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition, Proc. IEEE, Feb 1989 [paper] D. MacKay, Introduction to Gaussian Processes [web]
Tue, Apr 4	Paper presentation and discussion	M. Brand and A. Hertzmann. Style Machines. SIGGRAPH 2000. [web] [video] [Elizabeth] O. Arikan, D. Forsyth, J. O'Brien. Motion Synthesis from Annotations. SIGGRAPH 2003. [web] [Martin] K. Grochow, S. L. Martin, A. Hertzmann, Z. Popović. Style-based inverse kinematics. SIGGRAPH 2004. [web] [Tom] T. Mukai and S. Kuriyama. Geostatistical motion interpolation. SIGGRAPH 2005. [web] [Ian]
Tue, Apr 11	Paper presentation and discussion	L. Ren, A. Patrick, A. A. Efros, J. K. Hodgins, J. M. Rehg. A Data-Driven Approach to Quantifying Natural Human Motion. SIGGRAPH 2005 [web] [Sami] D. Anguelov, P.Srinivasan, D.Koller, S.Thrun, J. Rodgers, J.Davis. SCAPE: Shape Completion and Animation of People. SIGGRAPH 2005. [web] [Jacky] D. Vlasic, M. Brand, H. Pfister, J. Popović. Face Transfer with Multilinear Models. SIGGRAPH 2005. [paper], [overview video], [singing video] [Todd]