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Found 8 papers, 3 papers with code
The intelligent prediction and assessment of financial information risk in the cloud computing model
Cloud computing (cloud computing) is a kind of distributed computing, referring to the network "cloud" will be a huge data calculation and processing program into countless small programs, and then, through the system composed of multiple servers to process and analyze these small programs to get the results and return to the user.
TRAM: Global Trajectory and Motion of 3D Humans from in-the-wild Videos
We propose TRAM, a two-stage method to reconstruct a human's global trajectory and motion from in-the-wild videos.
GART: Gaussian Articulated Template Models
We introduce Gaussian Articulated Template Model GART, an explicit, efficient, and expressive representation for non-rigid articulated subject capturing and rendering from monocular videos.
ReFit: Recurrent Fitting Network for 3D Human Recovery
We present Recurrent Fitting (ReFit), a neural network architecture for single-image, parametric 3D human reconstruction.
Multi-view Tracking, Re-ID, and Social Network Analysis of a Flock of Visually Similar Birds in an Outdoor Aviary
The ability to capture detailed interactions among individuals in a social group is foundational to our study of animal behavior and neuroscience.
Semantic keypoint-based pose estimation from single RGB frames
Empirically, we show that our approach can accurately recover the 6-DoF object pose for both instance- and class-based scenarios even against a cluttered background.
Birds of a Feather: Capturing Avian Shape Models from Images
We learn models of multiple species from the CUB dataset, and contribute new species-specific and multi-species shape models that are useful for downstream reconstruction tasks.
3D Bird Reconstruction: a Dataset, Model, and Shape Recovery from a Single View
Automated capture of animal pose is transforming how we study neuroscience and social behavior.
