Sisällysluettelo:
“…Computational Imaging -- Guided Image Filtering -- Analysis of Motion Blur with a Flutter Shutter Camera for Non-linear Motion -- Error-Tolerant Image Compositing -- Blind Reflectometry -- Photometric Stereo for Dynamic Surface Orientations -- Fully Isotropic Fast Marching Methods on Cartesian Grids -- Spotlights and Posters M1 -- Descattering Transmission via Angular Filtering -- Flexible Voxels for Motion-Aware Videography -- Learning PDEs for Image Restoration via Optimal Control -- Compressive Acquisition of Dynamic Scenes -- Scene Carving: Scene Consistent Image Retargeting -- Two-Phase Kernel Estimation for Robust Motion Deblurring -- Single Image Deblurring Using Motion Density Functions -- An Iterative Method with General Convex Fidelity Term for Image Restoration -- One-Shot Optimal Exposure Control -- Analyzing Depth from Coded Aperture Sets -- We Are Family: Joint Pose Estimation of Multiple Persons -- Joint People, Event, and Location Recognition in Personal Photo Collections Using Cross-Domain Context -- Chrono-Gait Image: A Novel Temporal Template for Gait Recognition -- Robust Face Recognition Using Probabilistic Facial Trait Code -- A 2D Human Body Model Dressed in Eigen Clothing -- Self-Adapting Feature Layers -- Face Recognition with Patterns of Oriented Edge Magnitudes -- Spatial-Temporal Granularity-Tunable Gradients Partition (STGGP) Descriptors for Human Detection -- Being
John Malkovich -- Facial Contour Labeling via Congealing -- Cascaded Confidence Filtering for Improved Tracking-by-Detection -- Inter-camera Association of Multi-target Tracks by On-Line Learned Appearance Affinity Models -- Multi-person Tracking with Sparse Detection and Continuous Segmentation -- Closed-Loop Adaptation for Robust Tracking -- Gaussian-Like Spatial Priors for Articulated Tracking -- Dense Point Trajectories by GPU-Accelerated Large Displacement Optical Flow -- Improving Data Association by Joint Modeling of Pedestrian Trajectories and Groupings -- Globally Optimal Multi-target Tracking on a Hexagonal Lattice -- Discriminative Spatial Attention for Robust Tracking -- Object, Scene and Actions: Combining Multiple Features for Human Action Recognition -- Representing Pairwise Spatial and Temporal Relations for Action Recognition -- Compact Video Description for Copy Detection with Precise Temporal Alignment -- Modeling the Temporal Extent of Actions -- Content-Based Retrieval of Functional Objects in Video Using Scene Context -- Anomalous Behaviour Detection Using Spatiotemporal Oriented Energies, Subset Inclusion Histogram Comparison and Event-Driven Processing -- Tracklet Descriptors for Action Modeling and Video Analysis -- Word Spotting in the Wild -- A Stochastic Graph Evolution Framework for Robust Multi-target Tracking -- Spotlights and Posters M2 -- Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections -- Multiple Instance Metric Learning from Automatically Labeled Bags of Faces -- Partition Min-Hash for Partial Duplicate Image Discovery -- Automatic Attribute Discovery and Characterization from Noisy Web Data -- Learning to Recognize Objects from Unseen Modalities -- Building Compact Local Pairwise Codebook with Joint Feature Space Clustering -- Image-to-Class Distance Metric Learning for Image Classification -- Extracting Structures in Image Collections for Object Recognition -- Size Does Matter: Improving Object Recognition and 3D Reconstruction with Cross-Media Analysis of Image Clusters -- Avoiding Confusing Features in Place Recognition -- Semantic Label Sharing for Learning with Many Categories -- Efficient Object Category Recognition Using Classemes -- Practical Autocalibration…”
Jyväskylän yliopisto - Jykdok
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