13 citations · 18 across the 3 of their papers we have counts for
4 papers
NeRF in detail: Learning to sample for view synthesis
Relja Arandjelović, Andrew Zisserman
Neural radiance fields (NeRF) methods have demonstrated impressive novel view synthesis performance. The core approach is to render individual rays by querying a neural network at…
Self-Supervised MultiModal Versatile Networks
Jean-Baptiste Alayrac, Adrià Recasens, Rosalia Schneider +6
Videos are a rich source of multi-modal supervision. In this work, we learn representations using self-supervision by leveraging three modalities naturally present in videos: visua…
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions
Ignacio Rocco, Relja Arandjelović, Josef Sivic
In this work we target the problem of estimating accurately localised correspondences between a pair of images. We adopt the recent Neighbourhood Consensus Networks that have demon…
Controllable Attention for Structured Layered Video Decomposition
Jean-Baptiste Alayrac, João Carreira, Relja Arandjelović +1
The objective of this paper is to be able to separate a video into its natural layers, and to control which of the separated layers to attend to. For example, to be able to separat…