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Efficient hierarchical graph-based video segmentation
TLDR
An efficient and scalable technique for spatiotemporal segmentation of long video sequences using a hierarchical graph-based algorithm that generates high quality segmentations, which are temporally coherent with stable region boundaries, and allows subsequent applications to choose from varying levels of granularity.
Graphcut textures: image and video synthesis using graph cuts
TLDR
A new algorithm for image and video texture synthesis where patch regions from a sample image or video are transformed and copied to the output and then stitched together along optimal seams to generate a new (and typically larger) output.
One-Shot Learning for Semantic Segmentation
TLDR
This work trains a network that, given a small set of annotated images, produces parameters for a Fully Convolutional Network (FCN), and uses this FCN to perform dense pixel-level prediction on a test image for the new semantic class.
Auto-directed video stabilization with robust L1 optimal camera paths
TLDR
A novel algorithm for automatically applying constrainable, L1-optimal camera paths to generate stabilized videos by removing undesired motions without the need of user interaction or costly 3D reconstruction of the scene is presented.
The Aware Home: A Living Laboratory for Ubiquitous Computing Research
TLDR
The Aware Home project is introduced and some of the technology-and human-centered research objectives in creating the Aware Home are outlined, to create a living laboratory for research in ubiquitous computing for everyday activities.
Texture optimization for example-based synthesis
TLDR
A Markov Random Field-based similarity metric for measuring the quality of synthesized texture with respect to a given input sample is defined, which allows the synthesis problem as minimization of an energy function, which is optimized using an Expectation Maximization (EM)-like algorithm.
Coding, Analysis, Interpretation, and Recognition of Facial Expressions
We describe a computer vision system for observing facial motion by using an optimal estimation optical flow method coupled with geometric, physical and motion-based dynamic models describing the
Image and video based painterly animation
TLDR
This work presents techniques for transforming images and videos into painterly animations depicting different artistic styles using image and video analysis and methods for modifying the properties of these brush strokes according to the input images, videos, or motions.
Texture optimization for example-based synthesis
TLDR
A Markov Random Field-based similarity metric for measuring the quality of synthesized texture with respect to a given input sample is defined, which allows the synthesis problem as minimization of an energy function, which is optimized using an Expectation Maximization (EM)-like algorithm.
A practical approach for recognizing eating moments with wrist-mounted inertial sensing
TLDR
This work describes the implementation and evaluation of an approach for inferring eating moments based on 3-axis accelerometry collected with a popular off-the-shelf smartwatch, with applicability in areas ranging from health research and food journaling.
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