562 citations · 1.6k across the 39 of their papers we have counts for
4 papers · 1 filter
Unsupervised learning of object frames by dense equivariant image labelling
James Thewlis, Hakan Bilen, Andrea Vedaldi
One of the key challenges of visual perception is to extract abstract models of 3D objects and object categories from visual measurements, which are affected by complex nuisance fa…
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
There is a growing interest in learning data representations that work well for many different types of problems and data. In this paper, we look in particular at the task of learn…
Unsupervised learning of object landmarks by factorized spatial embeddings
James Thewlis, Hakan Bilen, Andrea Vedaldi
Learning automatically the structure of object categories remains an important open problem in computer vision. In this paper, we propose a novel unsupervised approach that can dis…
Universal representations:The missing link between faces, text, planktons, and cat breeds
Hakan Bilen, Andrea Vedaldi
With the advent of large labelled datasets and high-capacity models, the performance of machine vision systems has been improving rapidly. However, the technology has still major l…