28 citations · 120 across the 26 of their papers we have counts for
8 papers · 1 filter
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…
FaceCoresetNet: Differentiable Coresets for Face Set Recognition
Gil Shapira, Yosi Keller
In set-based face recognition, we aim to compute the most discriminative descriptor from an unbounded set of images and videos showing a single person. A discriminative descriptor…
Image Segmentation via Probabilistic Graph Matching
Ayelet Heimowitz, Yosi Keller
This work presents an unsupervised and semi-automatic image segmentation approach where we formulate the segmentation as a inference problem based on unary and pairwise assignment…
Age-Invariant Face Embedding using the Wasserstein Distance
Eran Dahan, Yosi Keller
In this work, we study face verification in datasets where images of the same individuals exhibit significant age differences. This poses a major challenge for current face recogni…
Deep Convolutional Tables: Deep Learning without Convolutions
Shay Dekel, Yosi Keller, Aharon Bar-Hillel
We propose a novel formulation of deep networks that do not use dot-product neurons and rely on a hierarchy of voting tables instead, denoted as Convolutional Tables (CT), to enabl…
Learning to Localize in Unseen Scenes with Relative Pose Regressors
Ofer Idan, Yoli Shavit, Yosi Keller
Relative pose regressors (RPRs) localize a camera by estimating its relative translation and rotation to a pose-labelled reference. Unlike scene coordinate regression and absolute…