51 citations · 56 across the 5 of their papers we have counts for
6 papers
Coarse-to-Fine Multi-Scene Pose Regression with Transformers
Yoli Shavit, Ron Ferens, Yosi Keller
Absolute camera pose regressors estimate the position and orientation of a camera given the captured image alone. Typically, a convolutional backbone with a multi-layer perceptron…
HyperPose: Hypernetwork-Infused Camera Pose Localization and an Extended Cambridge Landmarks Dataset
Ron Ferens, Yosi Keller
In this work, we propose HyperPose, which utilizes hyper-networks in absolute camera pose regressors. The inherent appearance variations in natural scenes, attributable to environm…
Paying Attention to Activation Maps in Camera Pose Regression
Yoli Shavit, Ron Ferens, Yosi Keller
Camera pose regression methods apply a single forward pass to the query image to estimate the camera pose. As such, they offer a fast and light-weight alternative to traditional lo…
Learning Multi-Scene Absolute Pose Regression with Transformers
Yoli Shavit, Ron Ferens, Yosi Keller
Absolute camera pose regressors estimate the position and orientation of a camera from the captured image alone. Typically, a convolutional backbone with a multi-layer perceptron h…
Do We Really Need Scene-specific Pose Encoders?
Yoli Shavit, Ron Ferens
Visual pose regression models estimate the camera pose from a query image with a single forward pass. Current models learn pose encoding from an image using deep convolutional netw…
Introduction to Camera Pose Estimation with Deep Learning
Yoli Shavit, Ron Ferens
Over the last two decades, deep learning has transformed the field of computer vision. Deep convolutional networks were successfully applied to learn different vision tasks such as…