Publications (57)
R-CNN minus R
Karel Lenc, Andrea Vedaldi
Meta-learning with differentiable closed-form solvers
Luca Bertinetto, João F. Henriques, Philip H. S. Torr +1
Learning to Represent Mechanics via Long-term Extrapolation and Interpolation
Sébastien Ehrhardt, Aron Monszpart, Andrea Vedaldi +1
Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition
Max Jaderberg, Karen Simonyan, Andrea Vedaldi +1
Net2Vec: Quantifying and Explaining how Concepts are Encoded by Filters in Deep Neural Networks
Ruth Fong, Andrea Vedaldi
Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection
David Novotny, Samuel Albanie, Diane Larlus +1
Long-term Tracking in the Wild: A Benchmark
Jack Valmadre, Luca Bertinetto, João F. Henriques +5
Unsupervised Intuitive Physics from Visual Observations
Sebastien Ehrhardt, Aron Monszpart, Niloy Mitra +1
Semi-convolutional Operators for Instance Segmentation
David Novotny, Samuel Albanie, Diane Larlus +1
Unsupervised learning of object landmarks by factorized spatial embeddings
James Thewlis, Hakan Bilen, Andrea Vedaldi
Learning Covariant Feature Detectors
Karel Lenc, Andrea Vedaldi
Learning multiple visual domains with residual adapters
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
Learning A Physical Long-term Predictor
Sebastien Ehrhardt, Aron Monszpart, Niloy J. Mitra +1
Action Recognition with Dynamic Image Networks
Hakan Bilen, Basura Fernando, Efstratios Gavves +1
Texture Networks: Feed-forward Synthesis of Textures and Stylized Images
Dmitry Ulyanov, Vadim Lebedev, Andrea Vedaldi +1
Gather-Excite: Exploiting Feature Context in Convolutional Neural Networks
Jie Hu, Li Shen, Samuel Albanie +2
Visualizing Deep Convolutional Neural Networks Using Natural Pre-Images
Aravindh Mahendran, Andrea Vedaldi
Understanding the Fisher Vector: a multimodal part model
David Novotný, Diane Larlus, Florent Perronnin +1
Deep filter banks for texture recognition, description, and segmentation
Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos +1
Learning to Read by Spelling: Towards Unsupervised Text Recognition
Ankush Gupta, Andrea Vedaldi, Andrew Zisserman
Weakly Supervised Deep Detection Networks
Hakan Bilen, Andrea Vedaldi
Fully-Trainable Deep Matching
James Thewlis, Shuai Zheng, Philip H. S. Torr +1
Describing Textures in the Wild
Mircea Cimpoi, Subhransu Maji, Iasonas Kokkinos +2
Synthetic Data for Text Localisation in Natural Images
Ankush Gupta, Andrea Vedaldi, Andrew Zisserman
DeepRadiologyNet: Radiologist Level Pathology Detection in CT Head Images
Jameson Merkow, Robert Lufkin, Kim Nguyen +3
Learning Grimaces by Watching TV
Samuel Albanie, Andrea Vedaldi
Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps
Karen Simonyan, Andrea Vedaldi, Andrew Zisserman
Fine-Grained Visual Classification of Aircraft
Subhransu Maji, Esa Rahtu, Juho Kannala +2
Cross Pixel Optical Flow Similarity for Self-Supervised Learning
Aravindh Mahendran, James Thewlis, Andrea Vedaldi
HPatches: A benchmark and evaluation of handcrafted and learned local descriptors
Vassileios Balntas, Karel Lenc, Andrea Vedaldi +1
Inductive Visual Localisation: Factorised Training for Superior Generalisation
Ankush Gupta, Andrea Vedaldi, Andrew Zisserman
Instance Normalization: The Missing Ingredient for Fast Stylization
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
Large scale evaluation of local image feature detectors on homography datasets
Karel Lenc, Andrea Vedaldi
Integrated perception with recurrent multi-task neural networks
Hakan Bilen, Andrea Vedaldi
Emotion Recognition in Speech using Cross-Modal Transfer in the Wild
Samuel Albanie, Arsha Nagrani, Andrea Vedaldi +1
Efficient parametrization of multi-domain deep neural networks
Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi
Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
Return of the Devil in the Details: Delving Deep into Convolutional Nets
Ken Chatfield, Karen Simonyan, Andrea Vedaldi +1
MultiGrain: a unified image embedding for classes and instances
Maxim Berman, Hervé Jégou, Andrea Vedaldi +2
Deep convolutional filter banks for texture recognition and segmentation
Mircea Cimpoi, Subhransu Maji, Andrea Vedaldi
Unsupervised Intuitive Physics from Past Experiences
Sébastien Ehrhardt, Aron Monszpart, Niloy J. Mitra +1
Speeding up Convolutional Neural Networks with Low Rank Expansions
Max Jaderberg, Andrea Vedaldi, Andrew Zisserman
It Takes (Only) Two: Adversarial Generator-Encoder Networks
Dmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky
Automatic Discovery and Optimization of Parts for Image Classification
Sobhan Naderi Parizi, Andrea Vedaldi, Andrew Zisserman +1
Unsupervised learning of object frames by dense equivariant image labelling
James Thewlis, Hakan Bilen, Andrea Vedaldi
Deep Structured Output Learning for Unconstrained Text Recognition
Max Jaderberg, Karen Simonyan, Andrea Vedaldi +1
Slim DensePose: Thrifty Learning from Sparse Annotations and Motion Cues
Natalia Neverova, James Thewlis, Rıza Alp Güler +2
Unsupervised Learning of Object Landmarks through Conditional Image Generation
Tomas Jakab, Ankush Gupta, Hakan Bilen +1
Reading Text in the Wild with Convolutional Neural Networks
Max Jaderberg, Karen Simonyan, Andrea Vedaldi +1
Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images
Shangzhe Wu, Christian Rupprecht, Andrea Vedaldi
ShapeStacks: Learning Vision-Based Physical Intuition for Generalised Object Stacking
Oliver Groth, Fabian B. Fuchs, Ingmar Posner +1
AnchorNet: A Weakly Supervised Network to Learn Geometry-sensitive Features For Semantic Matching
David Novotny, Diane Larlus, Andrea Vedaldi
Learning feed-forward one-shot learners
Luca Bertinetto, João F. Henriques, Jack Valmadre +2
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi, Karel Lenc
Understanding image representations by measuring their equivariance and equivalence
Karel Lenc, Andrea Vedaldi
End-to-end representation learning for Correlation Filter based tracking
Jack Valmadre, Luca Bertinetto, João F. Henriques +2
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran, Andrea Vedaldi