Vedaldi, Andrea

Deep Face Recognition

Parkhi, O. M., Vedaldi, A., & Zisserman, A. (2015) · Procedings of the British Machine Vision Conference 2015

Face recognition and analysisFace and Expression Recognition

Cited by 5,479

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

Simonyan, K., Vedaldi, A., & Zisserman, A. (2013) · arXiv

Advanced Neural Network ApplicationsExplainable Artificial Intelligence (XAI)

Cited by 5,370

Fully-Convolutional Siamese Networks for Object Tracking

Bertinetto, L., Valmadre, J., Henriques, J. F., Vedaldi, A., & Torr, P. H. S. (2016) · Lecture Notes in Computer Science

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 4,546

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

Chatfield, K., Simonyan, K., Vedaldi, A., & Zisserman, A. (2014) · Proceedings of the British Machine Vision Conference 2014

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 3,335

MatConvNet: Convolutional Neural Networks for MATLAB

Vedaldi, A., & Lenc, K. (2015) · Proceedings of the 23rd ACM international conference on Multimedia

Advanced Neural Network ApplicationsComputer Science and Engineering

Cited by 2,444

Describing Textures in the Wild

Cimpoi, M., Maji, S., Kokkinos, I., Mohamed, S., & Vedaldi, A. (2014) · 2014 IEEE Conference on Computer Vision and Pattern Recognition

Image Retrieval and Classification TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 2,438

Understanding deep image representations by inverting them

Mahendran, A., & Vedaldi, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,827

Synthetic Data for Text Localisation in Natural Images

Gupta, A., Vedaldi, A., & Zisserman, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Handwritten Text Recognition TechniquesAdvanced Neural Network Applications

Cited by 1,563

Reading text in the wild with convolutional neural networks

Jaderberg, M., Simonyan, K., Vedaldi, A., & Zisserman, A. (2016) · International Journal of Computer Vision

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 1,191

Speeding up Convolutional Neural Networks with Low Rank Expansions

Jaderberg, M., Vedaldi, A., & Zisserman, A. (2014) · Proceedings of the British Machine Vision Conference 2014

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 1,164

The devil is in the details: an evaluation of recent feature encoding methods

Chatfield, K., Lempitsky, V., Vedaldi, A., & Zisserman, A. (2011) · Procedings of the British Machine Vision Conference 2011

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 834

Deep Features for Text Spotting

Jaderberg, M., Vedaldi, A., & Zisserman, A. (2014) · Lecture Notes in Computer Science

Handwritten Text Recognition TechniquesVehicle License Plate Recognition

Cited by 653

Learning multiple visual domains with residual adapters

Rebuffi, S.-A., Bilen, H., & Vedaldi, A. (2017) · arXiv

Domain Adaptation and Few-Shot LearningAdvanced Neural Network Applications

Cited by 605

Understanding image representations by measuring their equivariance and equivalence

Lenc, K., & Vedaldi, A. (2015) · 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 366

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

Valmadre, J., Bertinetto, L., Henriques, J., Vedaldi, A., & Torr, P. H. S. (2017) · 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 274

Weakly Supervised Deep Detection Networks

Bilen, H., & Vedaldi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsVisual Attention and Saliency Detection

Cited by 144

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

Balntas, V., Lenc, K., Vedaldi, A., Tuytelaars, T., Matas, J., & Mikolajczyk, K. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Advanced Image and Video Retrieval TechniquesImage Retrieval and Classification Techniques

Cited by 132

Understanding Image Representations by Measuring Their Equivariance and Equivalence

Lenc, K., & Vedaldi, A. (2019) · International Journal of Computer Vision

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 98

Fixing the train-test resolution discrepancy: FixEfficientNet

Touvron, H., Vedaldi, A., Douze, M., & Jégou, H. (2020) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 88

R-CNN minus R

Lenc, K., & Vedaldi, A. (2015) · Procedings of the British Machine Vision Conference 2015

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 73

MultiGrain: a unified image embedding for classes and instances

Berman, M., Jégou, H., Vedaldi, A., Kokkinos, I., & Douze, M. (2019) · arXiv

Advanced Neural Network ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 69

Transferring Dense Pose to Proximal Animal Classes

Sanakoyeu, A., Khalidov, V., McCarthy, M. S., Vedaldi, A., & Neverova, N. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Human Pose and Action RecognitionAdvanced Neural Network Applications

Cited by 13