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Publications

Weakly Supervised Deep Detection Networks

Author(s): Hakan Bilen, Andrea Vedaldi
Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 2846-2854
DOI: 10.1109/CVPR.2016.311

Dynamic Image Networks for Action Recognition

Author(s): Hakan Bilen, Basura Fernando, Efstratios Gavves, Andrea Vedaldi, Stephen Gould
Published in: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016, Page(s) 3034-3042
DOI: 10.1109/CVPR.2016.331

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

Author(s): Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Krystian Mikolajczyk
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Issue 22-26 July 2017, 2017, Page(s) 3852-3861
DOI: 10.1109/CVPR.2017.410

Interpretable Explanations of Black Boxes by Meaningful Perturbation

Author(s): Ruth C. Fong, Andrea Vedaldi
Published in: 2017 IEEE International Conference on Computer Vision (ICCV), Issue 22-29 October 2017, 2017, Page(s) 3449-3457
DOI: 10.1109/ICCV.2017.371

Warped convolutions: efficient invariance to spatial transformation

Author(s): Henriques, J.F., Vedaldi, A.
Published in: ICML, Issue 7-9 August, 2017, 2017

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

Author(s): David Novotny, Diane Larlus, Andrea Vedaldi
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Issue 22-26 July 2017, 2017, Page(s) 2867-2876
DOI: 10.1109/CVPR.2017.306

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

Author(s): Jack Valmadre, Luca Bertinetto, Joao Henriques, Andrea Vedaldi, Philip H. S. Torr
Published in: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Issue 22-26 July 2017, 2017, Page(s) 5000-5008
DOI: 10.1109/CVPR.2017.531

Learning Grimaces by Watching TV

Author(s): Samuel Albanie, Andrea Vedaldi
Published in: Procedings of the British Machine Vision Conference 2016, Issue 19-22 September, 2016, 2016, Page(s) 122.1-122.12
DOI: 10.5244/C.30.122

Fully-Convolutional Siamese Networks for Object Tracking

Author(s): Luca Bertinetto, Jack Valmadre, João F. Henriques, Andrea Vedaldi, Philip H. S. Torr
Published in: ECCV 2016, Issue 8-16 October 2016, 2016, Page(s) 850-865
DOI: 10.1007/978-3-319-48881-3_56

Learning Covariant Feature Detectors

Author(s): Karel Lenc, Andrea Vedaldi
Published in: ECCV Workshop on Geometry Meets Deep Learning, Issue 9 October, 2016, 2016, Page(s) 100-117
DOI: 10.1007/978-3-319-49409-8_11

Salient Deconvolutional Networks

Author(s): Aravindh Mahendran, Andrea Vedaldi
Published in: ECCV, Issue 8-16 October 2016, 2016, Page(s) 120-135
DOI: 10.1007/978-3-319-46466-4_8

I Have Seen Enough: Transferring Parts Across Categories

Author(s): David Novotny, Diane Larlus, Andrea Vedaldi
Published in: Procedings of the British Machine Vision Conference 2016, Issue 19-22 September, 2016, Page(s) 115.1-115.14
DOI: 10.5244/C.30.115

Learning the Structure of Objects from Web Supervision

Author(s): Novotny D, Larlus D, Vedaldi A
Published in: ECCV Workshop on Geometry Meets Deep Learning, Issue 8-16 October, 2016
DOI: 10.1007/978-3-319-49409-8_19

Fully-trainable deep matching

Author(s): James Thewlis, Shuai Zheng, Philip Torr, Andrea Vedaldi
Published in: Procedings of the British Machine Vision Conference 2016, Issue 19-22 September, 2016, Page(s) 145.1-145.12
DOI: 10.5244/C.30.145

Learning feed-forward one-shot learners

Author(s): Luca Bertinetto, Joao Henriques, Jack Valmadre, Philip Torr and Andrea Vedaldi
Published in: Neural Information Processing Systems (NIPS), Issue 5-8 December, 2016

Learning multiple visual domains with residual adapters

Author(s): Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
Published in: Neural Information Processing Systems (NIPS), 2017

Unsupervised learning of object frames by dense equivariant image labelling

Author(s): James Thewlis, Hakan Bilen, Andrea Vedaldi
Published in: Neural Information Processing Systems (NIPS), 2017

Learning 3D Object Categories by Looking Around Them

Author(s): David Novotny, Diane Larlus, Andrea Vedaldi
Published in: International Conference on Computer Vision (ICCV), 2017

Integrated Perception with Recurrent Multi-Task Neural Networks

Author(s): Hakan Bilen, Andrea Vedaldi
Published in: Neural Information Processing Systems (NIPS), 2016

Unsupervised Learning of Object Landmarks by Factorized Spatial Embeddings

Author(s): James Thewlis, Hakan Bilen, Andrea Vedaldi
Published in: International Conference on Computer Vision (ICCV), 2017

Efficient parametrization of multi-domain biometric matching

Author(s): S-A.Rebuffi, H.Bilen, A.Vedaldi
Published in: IEEE CVPR 2018, 2018

NetVec: Quantifying and explaining how Concepts are Encoded by Filters in Deep Neural Networks

Author(s): R. Fong, A. Vedaldi
Published in: IEEE CVPR 2018, 2018

MapNet: An Allocentric Spatial Memory for Mapping Environments

Author(s): Joao F. Henriques, Andrea Vedaldi
Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Page(s) 8476-8484
DOI: 10.1109/cvpr.2018.00884

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

Author(s): J.Hu, L.Shen, S.Albanie, G.Sum, A.Vedaldi
Published in: NIPS 2018, 2018

Unsupervised Learning of Object Landmarks through Conditional Image Generation

Author(s): T.Jakab, A.Gupta, H.Bilen, A.Vedaldi
Published in: 2018

Large scale evaluation of local image feature detectors on homography datasets

Author(s): K.Lenc, A.Vedaldi
Published in: 2018

Cross Pixel Optical-Flow Similarity for Self-supervised Learning

Author(s): Aravindh Mahendran, James Thewlis, Andrea Vedaldi
Published in: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part V, Issue 11365, 2019, Page(s) 99-116
DOI: 10.1007/978-3-030-20873-8_7

META-LEARNING WITH DIFFERENTIABLE CLOSED-FORM SOLVERS

Author(s): Bertinetto L, HENRIQUES J, TORR PHS, VEDALDI A
Published in: International Conference on Learning Representations (ICLR), 2019, 2019

Learning to Discover Novel Visual Categories via Deep Transfer Clustering

Author(s): HAN K, VEDALDI A, ZISSERMAN A
Published in: IEEE ICCV 2019, 2019

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

Author(s): Ruth Fong, Andrea Vedaldi
Published in: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018, Page(s) 8730-8738
DOI: 10.1109/cvpr.2018.00910

Unsupervised Intuitive Physics from Visual Observations

Author(s): Sebastien Ehrhardt, Aron Monszpart, Niloy Mitra, Andrea Vedaldi
Published in: Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part III, Issue 11363, 2019, Page(s) 700-716
DOI: 10.1007/978-3-030-20893-6_44

Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Author(s): X.Ji, J. F. Henriques, A. Vedaldi
Published in: IEEE International Conference on Computer Vision, 2019, 2019, Page(s) 9865-9874

SELF-LABELLING VIA SIMULTANEOUS CLUSTERING AND REPRESENTATION LEARNING

Author(s): Y.Asano, C,Rupprecht, A.Vedaldi
Published in: 2020

AUTOMATICALLY DISCOVERING AND LEARNING NEW VISUAL CATEGORIES WITH RANKING STATISTICS

Author(s): Kai Han, Sylvestre-Alvise Rebuffi, Sebastien Ehrhardt, Andrea Vedaldi. Andrew Zisserman
Published in: ICLR, 2020

Self-supervised Learning of Interpretable Keypoints from Unlabelled Videos

Author(s): Tomas Jakab, Ankush Gupta, Hakan Bilen, Andrea Vedaldi
Published in: 2020

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

Author(s): Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Published in: 2020

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

Author(s): Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
Published in: IEEE CVPR, 2020

Visualizing Deep Convolutional Neural Networks Using Natural Pre-images

Author(s): Aravindh Mahendran, Andrea Vedaldi
Published in: International Journal of Computer Vision, 2016, ISSN 0920-5691
DOI: 10.1007/s11263-016-0911-8

Deep Filter Banks for Texture Recognition, Description, and Segmentation

Author(s): Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos, Andrea Vedaldi
Published in: International Journal of Computer Vision, Issue 118/1, 2016, Page(s) 65-94, ISSN 0920-5691
DOI: 10.1007/s11263-015-0872-3

Understanding Image Representations by Measuring Their Equivariance and Equivalence

Author(s): Karel Lenc, Andrea Vedaldi
Published in: International Journal of Computer Vision, 2018, ISSN 0920-5691
DOI: 10.1007/s11263-018-1098-y

Taking visual motion prediction to new heightfields

Author(s): Sebastien Ehrhardt, Aron Monszpart, Niloy J. Mitra, Andrea Vedaldi
Published in: Computer Vision and Image Understanding, Issue 181, 2019, Page(s) 14-25, ISSN 1077-3142
DOI: 10.1016/j.cviu.2019.02.005

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

Author(s): Vassileios Balntas, Karel Lenc, Andrea Vedaldi, Tinne Tuytelaars, Jiri Matas, Krystian Mikolajczyk
Published in: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019, Page(s) 1-1, ISSN 0162-8828
DOI: 10.1109/tpami.2019.2915233