129 citations · 221 across the 16 of their papers we have counts for
6 papers · 1 filter
Spatially Conditioned Graphs for Detecting Human-Object Interactions
Frederic Z. Zhang, Dylan Campbell, Stephen Gould
We address the problem of detecting human-object interactions in images using graphical neural networks. Unlike conventional methods, where nodes send scaled but otherwise identica…
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
Dylan Campbell, Liu Liu, Stephen Gould
Blind Perspective-n-Point (PnP) is the problem of estimating the position and orientation of a camera relative to a scene, given 2D image points and 3D scene points, without prior…
Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
Yujiao Shi, Xin Yu, Dylan Campbell +1
Cross-view geo-localization is the problem of estimating the position and orientation (latitude, longitude and azimuth angle) of a camera at ground level given a large-scale databa…
Inferring Temporal Compositions of Actions Using Probabilistic Automata
Rodrigo Santa Cruz, Anoop Cherian, Basura Fernando +2
This paper presents a framework to recognize temporal compositions of atomic actions in videos. Specifically, we propose to express temporal compositions of actions as semantic reg…
Learning 2D-3D Correspondences To Solve The Blind Perspective-n-Point Problem
Liu Liu, Dylan Campbell, Hongdong Li +3
Conventional absolute camera pose via a Perspective-n-Point (PnP) solver often assumes that the correspondences between 2D image pixels and 3D points are given. When the correspond…
Joint Unsupervised Learning of Optical Flow and Egomotion with Bi-Level Optimization
Shihao Jiang, Dylan Campbell, Miaomiao Liu +2
We address the problem of joint optical flow and camera motion estimation in rigid scenes by incorporating geometric constraints into an unsupervised deep learning framework. Unlik…