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Continuous Surface Embeddings

Nov 24, 2020
Natalia Neverova, David Novotny, Vasil Khalidov, Marc Szafraniec, Patrick Labatut, Andrea Vedaldi

* NeurIPS, 2020 

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3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data

Nov 02, 2020
Benjamin Biggs, Sébastien Ehrhadt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotny

* NeurIPS 2020 Spotlight; 14 pages including supplementary 

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Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning

Oct 27, 2020
Iro Laina, Ruth C. Fong, Andrea Vedaldi

* NeurIPS 2020 

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Support-set bottlenecks for video-text representation learning

Oct 06, 2020
Mandela Patrick, Po-Yao Huang, Yuki Asano, Florian Metze, Alexander Hauptmann, João Henriques, Andrea Vedaldi


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Calibrating Self-supervised Monocular Depth Estimation

Sep 16, 2020
Robert McCraith, Lukas Neumann, Andrea Vedaldi


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Canonical 3D Deformer Maps: Unifying parametric and non-parametric methods for dense weakly-supervised category reconstruction

Aug 28, 2020
David Novotny, Roman Shapovalov, Andrea Vedaldi


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Automatic Recall Machines: Internal Replay, Continual Learning and the Brain

Jul 15, 2020
Xu Ji, Joao Henriques, Tinne Tuytelaars, Andrea Vedaldi


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RELATE: Physically Plausible Multi-Object Scene Synthesis Using Structured Latent Spaces

Jul 02, 2020
Sebastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy Mitra, Andrea Vedaldi


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Labelling unlabelled videos from scratch with multi-modal self-supervision

Jun 24, 2020
Yuki M. Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi

* project page: https://www.robots.ox.ac.uk/~vgg/research/selavi 

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LSD-C: Linearly Separable Deep Clusters

Jun 17, 2020
Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Kai Han, Andrea Vedaldi, Andrew Zisserman

* Code available at https://github.com/srebuffi/lsd-clusters 

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VGGSound: A Large-scale Audio-Visual Dataset

Apr 29, 2020
Honglie Chen, Weidi Xie, Andrea Vedaldi, Andrew Zisserman

* ICASSP2020 

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Fixing the train-test resolution discrepancy: FixEfficientNet

Apr 20, 2020
Hugo Touvron, Andrea Vedaldi, Matthijs Douze, Hervé Jégou


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Monocular Depth Estimation with Self-supervised Instance Adaptation

Apr 13, 2020
Robert McCraith, Lukas Neumann, Andrew Zisserman, Andrea Vedaldi

* IROS submission, 7 pages 

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Exemplar Fine-Tuning for 3D Human Pose Fitting Towards In-the-Wild 3D Human Pose Estimation

Apr 07, 2020
Hanbyul Joo, Natalia Neverova, Andrea Vedaldi


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There and Back Again: Revisiting Backpropagation Saliency Methods

Apr 06, 2020
Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi

* CVPR 2020 

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Goal-Conditioned End-to-End Visuomotor Control for Versatile Skill Primitives

Mar 19, 2020
Oliver Groth, Chia-Man Hung, Andrea Vedaldi, Ingmar Posner

* 15 pages, 10 figures, 9 tables; supplementary video available: https://youtu.be/zn_lPor9zCU 

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Multi-modal Self-Supervision from Generalized Data Transformations

Mar 09, 2020
Mandela Patrick, Yuki M. Asano, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi


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Transferring Dense Pose to Proximal Animal Classes

Feb 28, 2020
Artsiom Sanakoyeu, Vasil Khalidov, Maureen S. McCarthy, Andrea Vedaldi, Natalia Neverova

* Accepted at CVPR 2020; Project page: https://asanakoy.github.io/densepose-evolution 

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Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Feb 13, 2020
Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman

* ICLR 2020, code: http://www.robots.ox.ac.uk/~vgg/research/auto_novel 

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Self-labelling via simultaneous clustering and representation learning

Nov 26, 2019
Yuki Markus Asano, Christian Rupprecht, Andrea Vedaldi


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Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Nov 25, 2019
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi

* Appendix included, 17 pages. Project page: https://elliottwu.com/projects/unsup3d/ 

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Occlusions for Effective Data Augmentation in Image Classification

Oct 25, 2019
Ruth Fong, Andrea Vedaldi

* Accepted to 2019 ICCV Workshop on Interpreting and Explaining Visual Artificial Intelligence Models (v2: corrected references) 

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NormGrad: Finding the Pixels that Matter for Training

Oct 19, 2019
Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Hakan Bilen, Andrea Vedaldi


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Understanding Deep Networks via Extremal Perturbations and Smooth Masks

Oct 18, 2019
Ruth Fong, Mandela Patrick, Andrea Vedaldi

* Accepted at ICCV 2019 as oral; supp mat at http://ruthcfong.github.io/files/fong19_extremal_supps.pdf 

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