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papers

Publications (57)

cs.CV2015

R-CNN minus R

Karel Lenc, Andrea Vedaldi

cs.CV2019

Meta-learning with differentiable closed-form solvers

Luca Bertinetto, João F. Henriques, Philip H. S. Torr +1

cs.CV2017

Learning to Represent Mechanics via Long-term Extrapolation and Interpolation

Sébastien Ehrhardt, Aron Monszpart, Andrea Vedaldi +1

cs.CV2014

Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition

Max Jaderberg, Karen Simonyan, Andrea Vedaldi +1

cs.CV2018

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

Ruth Fong, Andrea Vedaldi

cs.CV2018

Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

David Novotny, Samuel Albanie, Diane Larlus +1

cs.CV2018

Long-term Tracking in the Wild: A Benchmark

Jack Valmadre, Luca Bertinetto, João F. Henriques +5

cs.CV2019

Unsupervised Intuitive Physics from Visual Observations

Sebastien Ehrhardt, Aron Monszpart, Niloy Mitra +1

cs.CV2018

Semi-convolutional Operators for Instance Segmentation

David Novotny, Samuel Albanie, Diane Larlus +1

cs.CV2017

Unsupervised learning of object landmarks by factorized spatial embeddings

James Thewlis, Hakan Bilen, Andrea Vedaldi

cs.CV2016

Learning Covariant Feature Detectors

Karel Lenc, Andrea Vedaldi

cs.CV2017

Learning multiple visual domains with residual adapters

Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi

cs.AI2017

Learning A Physical Long-term Predictor

Sebastien Ehrhardt, Aron Monszpart, Niloy J. Mitra +1

cs.CV2017

Action Recognition with Dynamic Image Networks

Hakan Bilen, Basura Fernando, Efstratios Gavves +1

cs.CV2016

Texture Networks: Feed-forward Synthesis of Textures and Stylized Images

Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi +1

cs.CV2019

Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks

Jie Hu, Li Shen, Samuel Albanie +2

cs.CV2016

Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images

Aravindh Mahendran, Andrea Vedaldi

cs.CV2015

Understanding the Fisher Vector: a multimodal part model

David Novotný, Diane Larlus, Florent Perronnin +1

cs.CV2015

Deep filter banks for texture recognition, description, and segmentation

Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos +1

cs.CV2018

Learning to Read by Spelling: Towards Unsupervised Text Recognition

Ankush Gupta, Andrea Vedaldi, Andrew Zisserman

cs.CV2016

Weakly Supervised Deep Detection Networks

Hakan Bilen, Andrea Vedaldi

cs.CV2016

Fully-Trainable Deep Matching

James Thewlis, Shuai Zheng, Philip H. S. Torr +1

cs.CV2013

Describing Textures in the Wild

Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos +2

cs.CV2016

Synthetic Data for Text Localisation in Natural Images

Ankush Gupta, Andrea Vedaldi, Andrew Zisserman

cs.CV2017

DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images

Jameson Merkow, Robert Lufkin, Kim Nguyen +3

cs.CV2016

Learning Grimaces by Watching TV

Samuel Albanie, Andrea Vedaldi

cs.CV2014

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

Karen Simonyan, Andrea Vedaldi, Andrew Zisserman

cs.CV2013

Fine-Grained Visual Classification of Aircraft

Subhransu Maji, Esa Rahtu, Juho Kannala +2

cs.CV2018

Cross Pixel Optical Flow Similarity for Self-Supervised Learning

Aravindh Mahendran, James Thewlis, Andrea Vedaldi

cs.CV2017

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

Vassileios Balntas, Karel Lenc, Andrea Vedaldi +1

cs.CV2018

Inductive Visual Localisation: Factorised Training for Superior Generalisation

Ankush Gupta, Andrea Vedaldi, Andrew Zisserman

cs.CV2017

Instance Normalization: The Missing Ingredient for Fast Stylization

Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky

cs.CV2018

Large scale evaluation of local image feature detectors on homography datasets

Karel Lenc, Andrea Vedaldi

stat.ML2016

Integrated perception with recurrent multi-task neural networks

Hakan Bilen, Andrea Vedaldi

cs.CV2018

Emotion Recognition in Speech using Cross-Modal Transfer in the Wild

Samuel Albanie, Arsha Nagrani, Andrea Vedaldi +1

cs.CV2018

Efficient parametrization of multi-domain deep neural networks

Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi

cs.CV2017

Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis

Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky

cs.CV2014

Return of the Devil in the Details: Delving Deep into Convolutional Nets

Ken Chatfield, Karen Simonyan, Andrea Vedaldi +1

cs.CV2019

MultiGrain: a unified image embedding for classes and instances

Maxim Berman, Hervé Jégou, Andrea Vedaldi +2

cs.CV2015

Deep convolutional filter banks for texture recognition and segmentation

Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi

cs.CV2019

Unsupervised Intuitive Physics from Past Experiences

Sébastien Ehrhardt, Aron Monszpart, Niloy J. Mitra +1

cs.CV2014

Speeding up Convolutional Neural Networks with Low Rank Expansions

Max Jaderberg, Andrea Vedaldi, Andrew Zisserman

cs.CV2017

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

Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky

cs.CV2015

Automatic Discovery and Optimization of Parts for Image Classification

Sobhan Naderi Parizi, Andrea Vedaldi, Andrew Zisserman +1

cs.CV2017

Unsupervised learning of object frames by dense equivariant image labelling

James Thewlis, Hakan Bilen, Andrea Vedaldi

cs.CV2015

Deep Structured Output Learning for Unconstrained Text Recognition

Max Jaderberg, Karen Simonyan, Andrea Vedaldi +1

cs.CV2019

Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues

Natalia Neverova, James Thewlis, Rıza Alp Güler +2

cs.CV2018

Unsupervised Learning of Object Landmarks through Conditional Image Generation

Tomas Jakab, Ankush Gupta, Hakan Bilen +1

cs.CV2014

Reading Text in the Wild with Convolutional Neural Networks

Max Jaderberg, Karen Simonyan, Andrea Vedaldi +1

cs.CV2019

Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images

Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi

cs.CV2018

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

Oliver Groth, Fabian B. Fuchs, Ingmar Posner +1

cs.CV2017

AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching

David Novotny, Diane Larlus, Andrea Vedaldi

cs.CV2016

Learning feed-forward one-shot learners

Luca Bertinetto, João F. Henriques, Jack Valmadre +2

cs.CV2016

MatConvNet - Convolutional Neural Networks for MATLAB

Andrea Vedaldi, Karel Lenc

cs.CV2015

Understanding image representations by measuring their equivariance and equivalence

Karel Lenc, Andrea Vedaldi

cs.CV2017

End-to-end representation learning for Correlation Filter based tracking

Jack Valmadre, Luca Bertinetto, João F. Henriques +2

cs.CV2014

Understanding Deep Image Representations by Inverting Them

Aravindh Mahendran, Andrea Vedaldi