3 code implementations • WACV 2020 • Muhammad Faisal, Ijaz Akhter, Mohsen Ali, Richard Hartley
To handle the nonrigid background like a sea, we also propose a robust fusion mechanism between motion and appearance-based features.
no code implementations • 22 Jan 2019 • Ijaz Akhter, Cheong Loong Fah, Richard Hartley
We propose a new video representation in terms of an over-segmentation of dense trajectories covering the whole video.
no code implementations • 24 Jul 2017 • Yinghao Huang, Federica Bogo, Christoph Lassner, Angjoo Kanazawa, Peter V. Gehler, Ijaz Akhter, Michael J. Black
Existing marker-less motion capture methods often assume known backgrounds, static cameras, and sequence specific motion priors, which narrows its application scenarios.
no code implementations • CVPR 2015 • Ijaz Akhter, Michael J. Black
Second, we define a general parametrization of body pose and a new, multi-stage, method to estimate 3D pose from 2D joint locations using an over-complete dictionary of poses.
Ranked #121 on 3D Human Pose Estimation on Human3.6M (PA-MPJPE metric)
no code implementations • NeurIPS 2008 • Ijaz Akhter, Yaser Sheikh, Sohaib Khan, Takeo Kanade
Existing approaches to nonrigid structure from motion assume that the instantaneous 3D shape of a deforming object is a linear combination of basis shapes, which have to be estimated anew for each video sequence.