193 citations · 226 across the 7 of their papers we have counts for
8 papers
Towards In-context Scene Understanding
Ivana Balažević, David Steiner, Nikhil Parthasarathy +2
In-context learning$\unicode{x2013}$the ability to configure a model's behavior with different prompts$\unicode{x2013}$has revolutionized the field of natural language processing,…
Three ways to improve feature alignment for open vocabulary detection
Relja Arandjelović, Alex Andonian, Arthur Mensch +3
The core problem in zero-shot open vocabulary detection is how to align visual and text features, so that the detector performs well on unseen classes. Previous approaches train th…
Object discovery and representation networks
Olivier J. Hénaff, Skanda Koppula, Evan Shelhamer +5
The promise of self-supervised learning (SSL) is to leverage large amounts of unlabeled data to solve complex tasks. While there has been excellent progress with simple, image-leve…
Input-level Inductive Biases for 3D Reconstruction
Wang Yifan, Carl Doersch, Relja Arandjelović +2
Much of the recent progress in 3D vision has been driven by the development of specialized architectures that incorporate geometrical inductive biases. In this paper we tackle 3D r…
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…