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DOVE: Learning Deformable 3D Objects by Watching Videos


Jul 22, 2021
Shangzhe Wu, Tomas Jakab, Christian Rupprecht, Andrea Vedaldi

* Project Page: https://dove3d.github.io/ 

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AutoNovel: Automatically Discovering and Learning Novel Visual Categories


Jun 29, 2021
Kai Han, Sylvestre-Alvise Rebuffi, Sébastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman

* TPAMI 2021, code: http://www.robots.ox.ac.uk/~vgg/research/auto_novel/. arXiv admin note: substantial text overlap with arXiv:2002.05714 

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Discovering Relationships between Object Categories via Universal Canonical Maps


Jun 17, 2021
Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotny, Andrea Vedaldi

* Accepted at CVPR 2021; Project page: https://gdude.de/discovering-3d-obj-rel 

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NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go


Jun 17, 2021
Marvin Eisenberger, David Novotny, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi

* Published at the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021 

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Predicting Unreliable Predictions by Shattering a Neural Network


Jun 15, 2021
Xu Ji, Razvan Pascanu, Devon Hjelm, Andrea Vedaldi, Balaji Lakshminarayanan, Yoshua Bengio


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Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers


Jun 09, 2021
Mandela Patrick, Dylan Campbell, Yuki M. Asano, Ishan Misra Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, Jo\ão F. Henriques

* Project page: https://facebookresearch.github.io/Motionformer 

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Moving SLAM: Fully Unsupervised Deep Learning in Non-Rigid Scenes


Jun 01, 2021
Dan Xu, Andrea Vedaldi, Joao F. Henriques


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Finding an Unsupervised Image Segmenter in Each of Your Deep Generative Models


May 17, 2021
Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi

* Project page and GitHub link: https://lukemelas.github.io/unsupervised-image-segmentation & https://github.com/lukemelas/unsupervised-image-segmentation 

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Self-supervised object detection from audio-visual correspondence


Apr 13, 2021
Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, Florian Metze

* Under review 

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Localizing Visual Sounds the Hard Way


Apr 06, 2021
Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman

* CVPR2021 

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Unsupervised Learning of 3D Object Categories from Videos in the Wild


Mar 30, 2021
Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotny


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Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning


Mar 18, 2021
Mandela Patrick, Yuki M. Asano, Bernie Huang, Ishan Misra, Florian Metze, Joao Henriques, Andrea Vedaldi


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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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