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06/02/2023
Towards In-context Scene Understanding
In-context learningx2013the ability to configure a model's behavior with...
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03/23/2023
Three ways to improve feature alignment for open vocabulary detection
The core problem in zero-shot open vocabulary detection is how to align ...
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09/30/2022
Where Should I Spend My FLOPS? Efficiency Evaluations of Visual Pre-training Methods
Self-supervised methods have achieved remarkable success in transfer lea...
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03/16/2022
Object discovery and representation networks
The promise of self-supervised learning (SSL) is to leverage large amoun...
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02/22/2022
Hierarchical Perceiver
General perception systems such as Perceivers can process arbitrary moda...
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12/06/2021
Input-level Inductive Biases for 3D Reconstruction
Much of the recent progress in 3D vision has been driven by the developm...
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06/09/2021
NeRF in detail: Learning to sample for view synthesis
Neural radiance fields (NeRF) methods have demonstrated impressive novel...
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06/29/2020
Self-Supervised MultiModal Versatile Networks
Videos are a rich source of multi-modal supervision. In this work, we le...
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04/22/2020
Efficient Neighbourhood Consensus Networks via Submanifold Sparse Convolutions
In this work we target the problem of estimating accurately localised co...
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03/26/2020
Compact Deep Aggregation for Set Retrieval
The objective of this work is to learn a compact embedding of a set of d...
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10/24/2019
Controllable Attention for Structured Layered Video Decomposition
The objective of this paper is to be able to separate a video into its n...
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05/27/2019
Object Discovery with a Copy-Pasting GAN
We tackle the problem of object discovery, where objects are segmented f...
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10/24/2018
Neighbourhood Consensus Networks
We address the problem of finding reliable dense correspondences between...
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10/23/2018
GhostVLAD for set-based face recognition
The objective of this paper is to learn a compact representation of imag...
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05/25/2018
Training verified learners with learned verifiers
This paper proposes a new algorithmic framework,predictor-verifier train...
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12/19/2017
End-to-end weakly-supervised semantic alignment
We tackle the task of semantic alignment where the goal is to compute de...
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12/18/2017
Objects that Sound
In this paper our objectives are, first, networks that can embed audio a...
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05/23/2017
Look, Listen and Learn
We consider the question: what can be learnt by looking at and listening...
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03/16/2017
Convolutional neural network architecture for geometric matching
We address the problem of determining correspondences between two images...
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06/05/2016
