Paper list
- Low-level motion/tracking
- "Visual modeling with a hand-held camera" Pollefeys et al. IJCV 2004. link.
- "Fast Non-Rigid Surface Detection, Registration and Realistic Augmentation" Pilet et al. IJCV 2008. link.
- "Visual Tracking with Online Multiple Instance Learning" Babenko et al. CVPR 2009. link. Webpage.
- "Large Displacement Optical Flow: Descriptor Matching in Variational Flow Estimation" Brox and Malik. PAMI 2010. link.
- "On space-time interest points" Laptev. IJCV 2005. link.
- "Eigentracking: Robust matching and tracking of articulated objects using a view-based representation" Black and Jepson. IJCV 1998. link.
- "Twist based Acquisition and Tracking of Animal and Human Kinematics" Bregler et al. IJCV 2004. link.
- "A unified mixture framework for motion segmentation: Incorporating spatial coherence and estimating the number of models" Weiss and Adelson. CVPR 1996. link.
- "The recognition of human movement using temporal templates" Bobick and Davis. PAMI 2001. link.
- "Condensation—conditional density propagation for visual tracking" Isard and Blake. IJCV 1998. .
- "Learning Layered Motion Segmentations of Video" Kumar et al. IJCV 2008. link.Webpage.
- "SIFT flow: dense correspondence across difference scenes" Liu et al. PAMI 2010. link. Webpage.
- "Estimateing Cloth Simulation Parameters from Video" Bhat et al. SCA 2003. link.
- High-level activities
- "Understanding Videos, Constructing Plots - Learning a Visually Grounded Storyline Model from Annotated Videos" Gupta et al. CVPR 2009. link.
- "Observing Human-Object Interactions: Using Spatial and Functional Compatibility for Recognition" Gupta et al. PAMI 2009. link.
- "Beyond Actions: Discriminative Models for Contextual Group Activities" Lan et al. NIPS 2010 link.
- "Visual Event Modeling and Recognition using Markov Logic Networks" Tran and Davis. ECCV 08. link.
- "VERL: An Ontology Framework for Representing and Annotating Video Events" Francois et al. IEEE Multimedia 2005. link.
- "Recognition of visual activities and interactions by stochastic parsing" Ivanov and Bobick. PAMI 2000. link.
- "Exploiting Human Actions and Object Context for Recognition Tasks" Moore et al. ICCV 99. link.
- "Actions in context" Marszalek et al. CVPR 2009. link.
- "Learning realistic human actions from movies" Laptev et al. CVPR 2008. link.
- "Volumetric Features for Event Recognition in Video" Ke et al. ICCV 2007. link.
- "Behavior Recognition via Sparse Spatio-Temporal Features" Dollar et al. ICCV-PETS 05. link.
- "Unsupervised Learning of Human Action Categories Using Spatial-Temporal Words" Neibles et al. IJCV 2008. link.