Search Results for author: Oliver J. Woodford

Found 8 papers, 5 papers with code

Motion Representations for Articulated Animation

2 code implementations CVPR 2021 Aliaksandr Siarohin, Oliver J. Woodford, Jian Ren, Menglei Chai, Sergey Tulyakov

To facilitate animation and prevent the leakage of the shape of the driving object, we disentangle shape and pose of objects in the region space.

Video Reconstruction

Teachers Do More Than Teach: Compressing Image-to-Image Models

1 code implementation CVPR 2021 Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov

In this work, we aim to address these issues by introducing a teacher network that provides a search space in which efficient network architectures can be found, in addition to performing knowledge distillation.

Knowledge Distillation

Progressive Batching for Efficient Non-linear Least Squares

1 code implementation21 Oct 2020 Huu Le, Christopher Zach, Edward Rosten, Oliver J. Woodford

Non-linear least squares solvers are used across a broad range of offline and real-time model fitting problems.

Stochastic Optimization

Large Scale Photometric Bundle Adjustment

no code implementations26 Aug 2020 Oliver J. Woodford, Edward Rosten

Issues such as the lack of brightness constancy, and the sheer volume of data, make this a more challenging task.

Visual Odometry

Least Squares Normalized Cross Correlation

1 code implementation10 Oct 2018 Oliver J. Woodford

They have leveraged least squares minimizations, for simple, efficient, variational optimization, since the seminal 1981 work of Lucas & Kanade, and normalized cross correlation (NCC), for robustness to intensity variations, since at least 1972.

Noise Models in Feature-based Stereo Visual Odometry

no code implementations1 Jul 2016 Pablo F. Alcantarilla, Oliver J. Woodford

Feature-based visual structure and motion reconstruction pipelines, common in visual odometry and large-scale reconstruction from photos, use the location of corresponding features in different images to determine the 3D structure of the scene, as well as the camera parameters associated with each image.

Visual Odometry

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