Integrated and Detailed Image Understanding

The Curious Layperson: Fine-Grained Image Recognition without Expert Labels

Autorzy: Subhabrata Choudhury,Iro Laina,Christian Rupprecht,Andrea Vedaldi
Opublikowane w: 2021 British Machine Vision Conference, 2021
Wydawca: BMVA

Unsupervised Part Discovery from Contrastive Reconstruction

Autorzy: Subhabrata Choudhury, Iro Laina, Christian Rupprecht, Andrea Vedaldi
Opublikowane w: 2021 Neural Information Processing Systems (NeurIPS), 2021
Wydawca: MIT

Deep Image Prior

Autorzy: Victor Lempitsky, Andrea Vedaldi, Dmitry Ulyanov
Opublikowane w: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Strona(/y) 9446-9454, ISBN 978-1-5386-6420-9
Wydawca: IEEE
DOI: 10.1109/cvpr.2018.00984

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning

Autorzy: Joao Henriques, Sebastien Ehrhardt, Samuel Albanie, Andrea Vedaldi
Opublikowane w: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, Strona(/y) 4762-4771, ISBN 978-1-7281-4803-8
Wydawca: IEEE
DOI: 10.1109/iccv.2019.00486

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

Autorzy: Sebastien Ehrhardt, Oliver Groth, Aron Monszpart, Martin Engelcke, Ingmar Posner, Niloy Mitra, Andrea Vedaldi
Opublikowane w: 2020 Neural Information Processing Systems (NeurIPS), 2020
Wydawca: NeurIPS

There and Back Again: Revisiting Backpropagation Saliency Methods

Autorzy: Sylvestre-Alvise Rebuffi, Ruth Fong, Xu Ji, Andrea Vedaldi
Opublikowane w: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Strona(/y) 8836-8845, ISBN 978-1-7281-7168-5
Wydawca: IEEE
DOI: 10.1109/cvpr42600.2020.00886

Modelling and unsupervised learning of symmetric deformable object categories

Autorzy: James Thewlis, Hakan Bilen, Andrea Vedaldi
Opublikowane w: 2018 Neural Information Processing Systems (NeurIPS), 2018
Wydawca: NeurIPS

A critical analysis of self-supervision, or what we can learn from a single image

Autorzy: Yuki Asano, Christian Rupprecht, Andrea Vedaldi
Opublikowane w: 2020 International Conference on Machine Learning (ICML), 2020
Wydawca: ICML

Quantifying Learnability and Describability of Visual Concepts Emerging in Representation Learning

Autorzy: Iro Laina, Ruth Fong, Andrea Vedaldi
Opublikowane w: 2020 Neural Information Processing Systems (NeurIPS), 2020
Wydawca: NeurIPS

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

Autorzy: Mandela Patrick, Dylan Campbell, Yuki Asano, Ishan Misra, Florian Metze, Christoph Feichtenhofer, Andrea Vedaldi, Joao F. Henriques
Opublikowane w: 2021 Neural Information Processing Systems (NeurIPS), 2021
Wydawca: MIT

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

Autorzy: Yuki Asano, Mandela Patrick, Christian Rupprecht, Andrea Vedaldi
Opublikowane w: 2020 Neural Information Processing Systems (NeurIPS), 2020
Wydawca: NeurIPS

Scrutinizing and De-Biasing Intuitive Physics with Neural Stethoscopes

Autorzy: Fabian Fuchs, Oliver Groth, Adam Kosiorek, Alex Bewley, Markus Wulfmeier, Andrea Vedaldi, Ingmar Posner
Opublikowane w: 2019 British Machine Vision Conference (BMVC), 2019
Wydawca: BMVA
DOI: 10.5244/c.33.114

Unsupervised Learning of Landmarks by Descriptor Vector Exchange

Autorzy: James Thewlis, Samuel Albanie, Hakan Bilen, Andrea Vedaldi
Opublikowane w: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, Strona(/y) 6360-6370, ISBN 978-1-7281-4803-8
Wydawca: IEEE
DOI: 10.1109/iccv.2019.00646

Weakly Supervised Deep Detection Networks

Autorzy: Hakan Bilen, Andrea Vedaldi
Opublikowane w: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Strona(/y) 2846-2854, ISBN 978-1-4673-8851-1
Wydawca: IEEE
DOI: 10.1109/CVPR.2016.311

Dynamic Image Networks for Action Recognition

Autorzy: Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould
Opublikowane w: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Strona(/y) 3034-3042, ISBN 978-1-4673-8851-1
Wydawca: IEEE
DOI: 10.1109/CVPR.2016.331

HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors

Autorzy: Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk
Opublikowane w: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Numer 22-26 July 2017, 2017, Strona(/y) 3852-3861, ISBN 978-1-5386-0457-1
Wydawca: IEEE
DOI: 10.1109/CVPR.2017.410

Interpretable Explanations of Black Boxes by Meaningful Perturbation

Autorzy: Ruth C. Fong, Andrea Vedaldi
Opublikowane w: 2017 IEEE International Conference on Computer Vision (ICCV), Numer 22-29 October 2017, 2017, Strona(/y) 3449-3457, ISBN 978-1-5386-1032-9
Wydawca: IEEE
DOI: 10.1109/ICCV.2017.371

Warped convolutions: efficient invariance to spatial transformation

Autorzy: Joao F. Henriques, Andrea Vedaldi
Opublikowane w: 2017 International Conference on Machine Learning (ICML), Numer 7-9 August, 2017, 2017
Wydawca: ICML

AnchorNet: A Weakly Supervised Network to Learn Geometry-Sensitive Features for Semantic Matching

Autorzy: David Novotny, Diane Larlus, Andrea Vedaldi
Opublikowane w: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Numer 22-26 July 2017, 2017, Strona(/y) 2867-2876, ISBN 978-1-5386-0457-1
Wydawca: IEEE
DOI: 10.1109/CVPR.2017.306

End-to-End Representation Learning for Correlation Filter Based Tracking

Autorzy: Jack Valmadre, Luca Bertinetto, Joao Henriques, Andrea Vedaldi, Philip H. S. Torr
Opublikowane w: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Numer 22-26 July 2017, 2017, Strona(/y) 5000-5008, ISBN 978-1-5386-0457-1
Wydawca: IEEE
DOI: 10.1109/CVPR.2017.531

Learning Grimaces by Watching TV

Autorzy: Samuel Albanie, Andrea Vedaldi
Opublikowane w: Procedings of the British Machine Vision Conference 2016, Numer 19-22 September, 2016, 2016, Strona(/y) 122.1-122.12, ISBN 1-901725-59-6
Wydawca: British Machine Vision Association
DOI: 10.5244/C.30.122

Fully-Convolutional Siamese Networks for Object Tracking

Autorzy: Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
Opublikowane w: ECCV 2016, Numer 8-16 October 2016, 2016, Strona(/y) 850-865
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-48881-3_56

Learning Covariant Feature Detectors

Autorzy: Karel Lenc, Andrea Vedaldi
Opublikowane w: ECCV Workshop on Geometry Meets Deep Learning, Numer 9 October, 2016, 2016, Strona(/y) 100-117
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-49409-8_11

Salient Deconvolutional Networks

Autorzy: Aravindh Mahendran, Andrea Vedaldi
Opublikowane w: ECCV, Numer 8-16 October 2016, 2016, Strona(/y) 120-135
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-46466-4_8

I Have Seen Enough: Transferring Parts Across Categories

Autorzy: David Novotny, Diane Larlus, Andrea Vedaldi
Opublikowane w: Procedings of the British Machine Vision Conference 2016, Numer 19-22 September, 2016, Strona(/y) 115.1-115.14, ISBN 1-901725-59-6
Wydawca: British Machine Vision Association
DOI: 10.5244/C.30.115

Learning the Structure of Objects from Web Supervision

Autorzy: David Novotny, Diane Larlus, Andrea Vedaldi
Opublikowane w: Computer Vision – ECCV 2016 Workshops - Amsterdam, The Netherlands, October 8-10 and 15-16, 2016, Proceedings, Part III, Numer 9915, 2016, Strona(/y) 218-235, ISBN 978-3-319-49408-1
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-319-49409-8_19

Fully-trainable deep matching

Autorzy: James Thewlis, Shuai Zheng, Philip Torr, Andrea Vedaldi
Opublikowane w: Procedings of the British Machine Vision Conference 2016, Numer 19-22 September, 2016, Strona(/y) 145.1-145.12, ISBN 1-901725-59-6
Wydawca: British Machine Vision Association
DOI: 10.5244/C.30.145

Learning feed-forward one-shot learners

Autorzy: Luca Bertinetto, Joao Henriques, Jack Valmadre, Philip Torr and Andrea Vedaldi
Opublikowane w: 2016 Neural Information Processing Systems (NIPS), 2016
Wydawca: Currant Associates, Inc.

Learning multiple visual domains with residual adapters

Autorzy: Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
Opublikowane w: 2017 Neural Information Processing Systems (NeurIPS), 2017
Wydawca: Curran Associates, Inc.

Unsupervised learning of object frames by dense equivariant image labelling

Autorzy: James Thewlis, Hakan Bilen, Andrea Vedaldi
Opublikowane w: 2017 Neural Information Processing Systems (NeurIPS), 2017
Wydawca: Curran Associates, Inc.

Learning 3D Object Categories by Looking Around Them

Autorzy: David Novotny, Diane Larlus, Andrea Vedaldi
Opublikowane w: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Strona(/y) 5228-5237, ISBN 978-1-5386-1032-9
Wydawca: IEEE
DOI: 10.1109/iccv.2017.558

Integrated Perception with Recurrent Multi-Task Neural Networks

Autorzy: Hakan Bilen, Andrea Vedaldi
Opublikowane w: 2016 Neural Information Processing Systems (NIPS), 2016
Wydawca: Curran Associates, Inc.

Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings

Autorzy: James Thewlis, Hakan Bilen, Andrea Vedaldi
Opublikowane w: 2017 IEEE International Conference on Computer Vision (ICCV), 2017, Strona(/y) 3229-3238, ISBN 978-1-5386-1032-9
Wydawca: IEEE
DOI: 10.1109/iccv.2017.348

Efficient Parametrization of Multi-domain Deep Neural Networks

Autorzy: Sylvestre-Alvise Rebuffi, Andrea Vedaldi, Hakan Bilen
Opublikowane w: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Strona(/y) 8119-8127, ISBN 978-1-5386-6420-9
Wydawca: IEEE
DOI: 10.1109/cvpr.2018.00847

MapNet: An Allocentric Spatial Memory for Mapping Environments

Autorzy: Joao F. Henriques, Andrea Vedaldi
Opublikowane w: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Strona(/y) 8476-8484, ISBN 978-1-5386-6420-9
Wydawca: IEEE
DOI: 10.1109/cvpr.2018.00884

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

Autorzy: Jie Hu, Li Shen, Samuel Albanie, Gang Sun, Andrea Vedaldi
Opublikowane w: 2018 Neural Information Processing Systems, 2018
Wydawca: NeurIPS

Unsupervised Learning of Object Landmarks through Conditional Image Generation

Autorzy: Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi
Opublikowane w: 2018 Neural Information Processing Systems (NeurIPS), 2018
Wydawca: NeurIPS

Large scale evaluation of local image feature detectors on homography datasets

Autorzy: Karel Lenc, Andrea Vedaldi
Opublikowane w: 2018 British Machine Vision Conference, 2018
Wydawca: BMVA

Cross Pixel Optical-Flow Similarity for Self-supervised Learning

Autorzy: Aravindh Mahendran, James Thewlis, Andrea Vedaldi
Opublikowane w: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part V, Numer 11365, 2019, Strona(/y) 99-116, ISBN 978-3-030-20872-1
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-20873-8_7

Meta-learning with differentiable closed-form solvers

Autorzy: Luca Bertinetto, Joao F. Henriques, Philip Torr, Andrea Vedaldi
Opublikowane w: 2019 International Conference on Learning Representations (ICLR), 2019
Wydawca: ICLR

Learning to Discover Novel Visual Categories via Deep Transfer Clustering

Autorzy: Kai Han, Andrea Vedaldi, Andrew Zisserman
Opublikowane w: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, Strona(/y) 8400-8408, ISBN 978-1-7281-4803-8
Wydawca: IEEE
DOI: 10.1109/iccv.2019.00849

Net2Vec: Quantifying and Explaining How Concepts are Encoded by Filters in Deep Neural Networks

Autorzy: Ruth Fong, Andrea Vedaldi
Opublikowane w: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Strona(/y) 8730-8738, ISBN 978-1-5386-6420-9
Wydawca: IEEE
DOI: 10.1109/cvpr.2018.00910

Unsupervised Intuitive Physics from Visual Observations

Autorzy: Sebastien Ehrhardt, Aron Monszpart, Niloy Mitra, Andrea Vedaldi
Opublikowane w: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part III, Numer 11363, 2019, Strona(/y) 700-716, ISBN 978-3-030-20892-9
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-20893-6_44

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Autorzy: Xu Ji, Andrea Vedaldi, Joao Henriques
Opublikowane w: 2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019, Strona(/y) 9864-9873, ISBN 978-1-7281-4803-8
Wydawca: IEEE
DOI: 10.1109/iccv.2019.00996

Self-labelling via simultaneous clustering and representation learning

Autorzy: Yuki Asano, Christian Rupprecht, Andrea Vedaldi
Opublikowane w: 2020 International Conference on Learning Representations (ICLR), 2020
Wydawca: ICLR

Automatically Discovering and Learning New Visual Categories with Ranking Statistics

Autorzy: Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
Opublikowane w: 2020 International Conference on Learning Representations (ICLR), 2020
Wydawca: ICLR

Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos

Autorzy: Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi
Opublikowane w: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Strona(/y) 8784-8794, ISBN 978-1-7281-7168-5
Wydawca: IEEE
DOI: 10.1109/cvpr42600.2020.00881

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

Autorzy: Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Opublikowane w: 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Strona(/y) 1-10, ISBN 978-1-7281-7168-5
Wydawca: IEEE
DOI: 10.1109/cvpr42600.2020.00008

ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking

Autorzy: Oliver Groth, Fabian B. Fuchs, Ingmar Posner, Andrea Vedaldi
Opublikowane w: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I, Numer 11205, 2018, Strona(/y) 724-739, ISBN 978-3-030-01245-8
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-01246-5_43

Self-Supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Autorzy: David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Opublikowane w: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Strona(/y) 3637-3645, ISBN 978-1-5386-6420-9
Wydawca: IEEE
DOI: 10.1109/cvpr.2018.00383

PASS: An ImageNet replacement for self-supervised pretraining without humans

Autorzy: Yuki M. Asano, Christian Rupprecht, Andrew Zisserman, Andrea Vedaldi
Opublikowane w: Proc. of the Intl. Conf. on Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks, 2021
Wydawca: NeurIPS foundation

It Takes (Only) Two: Adversarial Generator-Encoder Networks

Autorzy: Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
Opublikowane w: 2018 AAAI Conference on Artificial Intelligence, 2018
Wydawca: AAAI

AutoNovel: Automatically Discovering and Learning Novel Visual Categories

Autorzy: Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi, Andrew Zisserman
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2021.3091944

Deep Image Prior

Autorzy: Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
Opublikowane w: International Journal of Computer Vision, Numer 128/7, 2020, Strona(/y) 1867-1888, ISSN 0920-5691
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s11263-020-01303-4

Action Recognition with Dynamic Image Networks

Autorzy: Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numer 40/12, 2018, Strona(/y) 2799-2813, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2017.2769085

Visualizing Deep Convolutional Neural Networks Using Natural Pre-images

Autorzy: Aravindh Mahendran, Andrea Vedaldi
Opublikowane w: International Journal of Computer Vision, 2016, ISSN 0920-5691
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s11263-016-0911-8

Deep Filter Banks for Texture Recognition, Description, and Segmentation

Autorzy: Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Andrea Vedaldi
Opublikowane w: International Journal of Computer Vision, Numer 118/1, 2016, Strona(/y) 65-94, ISSN 0920-5691
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s11263-015-0872-3

Understanding Image Representations by Measuring Their Equivariance and Equivalence

Autorzy: Karel Lenc, Andrea Vedaldi
Opublikowane w: International Journal of Computer Vision, 2018, ISSN 0920-5691
Wydawca: Kluwer Academic Publishers
DOI: 10.1007/s11263-018-1098-y

Taking visual motion prediction to new heightfields

Autorzy: Sebastien Ehrhardt, Aron Monszpart, Niloy J. Mitra, Andrea Vedaldi
Opublikowane w: Computer Vision and Image Understanding, Numer 181, 2019, Strona(/y) 14-25, ISSN 1077-3142
Wydawca: Academic Press
DOI: 10.1016/j.cviu.2019.02.005

HPatches: A benchmark and evaluation of handcrafted and learned local descriptors

Autorzy: Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Tinne Tuytelaars, Jiri Matas, Krystian Mikolajczyk
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, Strona(/y) 1-1, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2019.2915233

Capturing the Geometry of Object Categories from Video Supervision

Autorzy: David Novotny, Diane Larlus, Andrea Vedaldi
Opublikowane w: IEEE Transactions on Pattern Analysis and Machine Intelligence, Numer 42/2, 2020, Strona(/y) 261-275, ISSN 0162-8828
Wydawca: Institute of Electrical and Electronics Engineers
DOI: 10.1109/tpami.2018.2871117

Semi-convolutional Operators for Instance Segmentation

Autorzy: David Novotny, Samuel Albanie, Diane Larlus, Andrea Vedaldi
Opublikowane w: Computer Vision – ECCV 2018 - 15th European Conference, Munich, Germany, September 8-14, 2018, Proceedings, Part I, Numer 11205, 2018, Strona(/y) 89-105, ISBN 978-3-030-01245-8
Wydawca: Springer International Publishing
DOI: 10.1007/978-3-030-01246-5_6

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