Andrea Vedaldi — all works
- Deep Face Recognition ↗British Machine Vision Conference (BMVC) · no summary yetOmkar Parkhi, Andrea Vedaldi, Andrew Zisserman2015 · 4,994 citations
- Return of the Devil in the Details: Delving Deep into Convolutional Nets ↗British Machine Vision Conference (BMVC) · no summary yetKen Chatfield et al.2014 · 3,379 citations
- Understanding deep image representations by inverting them ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAravindh Mahendran, Andrea Vedaldi2015 · 1,825 citations
- Cats and dogs ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetOmkar Parkhi et al.2012 · 1,656 citations
- Speeding up Convolutional Neural Networks with Low Rank Expansions ↗British Machine Vision Conference (BMVC) · no summary yetMax Jaderberg, Andrea Vedaldi, Andrew Zisserman2014 · 1,210 citations
- Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency MapsarXiv:1312.6034Karen Simonyan, Andrea Vedaldi, Andrew Zisserman2013 · 1,210 citations
- Reading Text in the Wild with Convolutional Neural Networks ↗International Journal of Computer Vision · no summary yetMax Jaderberg et al.2015 · 1,208 citations
- The devil is in the details: an evaluation of recent feature encoding methods ↗British Machine Vision Conference (BMVC) · no summary yetKen Chatfield et al.2011 · 848 citations
- Improved Texture Networks: Maximizing Quality and Diversity in Feed-Forward Stylization and Texture Synthesis ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetDmitry Ulyanov, Andrea Vedaldi, Victor Lempitsky2017 · 832 citations
- Multiple kernels for object detection ↗IEEE International Conference on Computer Vision (ICCV) · no summary yetAndrea Vedaldi et al.2009 · 760 citations
- Synthetic Data and Artificial Neural Networks for Natural Scene Text Recognition ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2014 · 757 citations
- Efficient Additive Kernels via Explicit Feature Maps ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetAndrea Vedaldi, Andrew Zisserman2011 · 701 citations
- Learning multiple visual domains with residual adaptersarXiv:1705.08045Sylvestre-Alvise Rebuffi, Hakan Bilen, Andrea Vedaldi2017 · 694 citations
- Deep filter banks for texture recognition and segmentation ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMircea Cimpoi, Subhransu Maji, Andrea Vedaldi2015 · 655 citations
- Deep Features for Text Spotting ↗Lecture notes in computer science · no summary yetMax Jaderberg, Andrea Vedaldi, Andrew Zisserman2014 · 653 citations
- Dynamic Image Networks for Action Recognition ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHakan Bilen et al.2016 · 584 citations
- Vggsound: A Large-Scale Audio-Visual Dataset ↗IEEE International Conference on Acoustics Speech and Signal Processing · no summary yetHonglie Chen et al.2020 · 486 citations
- Fisher Vector Faces in the Wild ↗British Machine Vision Conference (BMVC) · no summary yetKaren Simonyan et al.2013 · 448 citations
- Understanding image representations by measuring their equivariance and equivalence ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetKarel Lenc, Andrea Vedaldi2015 · 378 citations
- Blocks That Shout: Distinctive Parts for Scene Classification ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMayank Juneja et al.2013 · 374 citations
- Learning Local Feature Descriptors Using Convex Optimisation ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetKaren Simonyan, Andrea Vedaldi, Andrew Zisserman2014 · 359 citations
- Learning to Discover Novel Visual Categories via Deep Transfer Clustering ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetKai Han, Andrea Vedaldi, Andrew Zisserman2019 · 326 citations
- Generalized Category Discovery ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetSagar Vaze et al.2022 · 261 citations
- Learning feed-forward one-shot learners ↗neural information processing systems · no summary yetLuca Bertinetto et al.2016 · 256 citations
- Deep Structured Output Learning for Unconstrained Text Recognition ↗arXiv (Cornell University) · no summary yetMax Jaderberg et al.2014 · 210 citations
- RealFusion 360° Reconstruction of Any Object from a Single Image ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLuke Melas-Kyriazi et al.2023 · 205 citations
- Splatter Image: Ultra-Fast Single-View 3D Reconstruction ↗arXiv:2312.13150 · no summary yetStanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi2023 · 199 citations
- End-to-End Representation Learning for Correlation Filter Based Tracking ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJack Valmadre et al.2017 · 198 citations
- Localizing Visual Sounds the Hard Way ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHonglie Chen et al.2021 · 182 citations
- Synthetic Data for Text Localisation in Natural Images ↗arXiv:1604.06646 · no summary yetAnkush Gupta, Andrea Vedaldi, Andrew Zisserman2016 · 164 citations
- AutoNovel: Automatically Discovering and Learning Novel Visual Categories ↗IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yetKai Han et al.2021 · 160 citations
- Deep Fisher Networks for Large-Scale Image Classification ↗neural information processing systems · no summary yetKaren Simonyan, Andrea Vedaldi, Andrew Zisserman2013 · 147 citations
- Pylon Model for Semantic Segmentation ↗no summary yetVictor Lempitsky, Andrea Vedaldi, Andrew Zisserman2011 · 126 citations
- A Compact and Discriminative Face Track Descriptor ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetOmkar Parkhi et al.2014 · 121 citations
- The truth about cats and dogs ↗International Conference on Computer Vision · no summary yetOmkar Parkhi et al.2011 · 113 citations
- NightOwls: A Pedestrians at Night Dataset ↗Lecture notes in computer science · no summary yetLukáš Neumann et al.2019 · 100 citations
- PC2: Projection-Conditioned Point Cloud Diffusion for Single-Image 3D Reconstruction ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLuke Melas-Kyriazi, Christian Rupprecht, Andrea Vedaldi2023 · 96 citations
- Understanding Objects in Detail with Fine-Grained Attributes ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAndrea Vedaldi et al.2014 · 92 citations
- Sparse kernel approximations for efficient classification and detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAndrea Vedaldi, Andrew Zisserman2012 · 82 citations
- Generalized RBF feature maps for Efficient Detection ↗British Machine Vision Conference (BMVC) · no summary yetSreekanth Vempati et al.2010 · 78 citations
- Simultaneous Object Detection and Ranking with Weak Supervision ↗no summary yetMatthew B. Blaschko, Andrea Vedaldi, Andrew Zisserman2010 · 63 citations
- Structured output regression for detection with partial truncation ↗no summary yetAndrea Vedaldi, Andrew Zisserman2009 · 61 citations
- Descriptor Learning Using Convex Optimisation ↗Lecture notes in computer science · no summary yetKaren Simonyan, Andrea Vedaldi, Andrew Zisserman2012 · 60 citations
- Relaxed Softmax: Efficient Confidence Auto-Calibration for Safe Pedestrian Detection ↗no summary yetLukáš Neumann, Andrew Zisserman, Andrea Vedaldi2018 · 50 citations
- Open-Set Recognition: a Good Closed-Set Classifier is All You Need? ↗arXiv (Cornell University) · no summary yetSagar Vaze et al.2021 · 48 citations
- Automatically Discovering and Learning New Visual Categories with Ranking Statistics ↗arXiv (Cornell University) · no summary yetKai Han et al.2020 · 39 citations
- On-the-fly specific person retrieval ↗International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS) · no summary yetOmkar Parkhi, Andrea Vedaldi, Andrew Zisserman2012 · 36 citations
- Future Event Prediction: If and When ↗IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetLukáš Neumann, Andrew Zisserman, Andrea Vedaldi2019 · 32 citations
- Text-To-4D Dynamic Scene Generation ↗arXiv (Cornell University) · no summary yetUriel Singer et al.2023 · 31 citations
- Automatic Discovery and Optimization of Parts for Image Classification ↗arXiv (Cornell University) · no summary yetSobhan Naderi Parizi et al.2014 · 28 citations
- Learning equivariant structured output SVM regressors ↗International Conference on Computer Vision · no summary yetAndrea Vedaldi, Matthew B. Blaschko, Andrew Zisserman2011 · 28 citations
- Contrastive Lift: 3D Object Instance Segmentation by Slow-Fast Contrastive Fusion ↗neural information processing systems · no summary yetYash Sanjay Bhalgat et al.2023 · 26 citations
- No Representation Rules Them All in Category Discovery ↗neural information processing systems · no summary yetSagar Vaze, Andrea Vedaldi, Andrew Zisserman2023 · 21 citations
- Self-similar Sketch ↗Lecture notes in computer science · no summary yetAndrea Vedaldi, Andrew Zisserman2012 · 20 citations
- Monocular Depth Estimation with Self-supervised Instance Adaptation ↗arXiv (Cornell University) · no summary yetRobert McCraith et al.2020 · 19 citations
- Learning to Read by Spelling ↗Indian Conference on Computer Vision, Graphics and Image Processing · no summary yetAnkush Gupta, Andrea Vedaldi, Andrew Zisserman2018 · 16 citations
- PASS: An ImageNet replacement for self-supervised pretraining without humans ↗arXiv (Cornell University) · no summary yetYuki M. Asano et al.2021 · 14 citations
- N2F2: Hierarchical Scene Understanding with Nested Neural Feature Fields ↗Lecture notes in computer science · no summary yetYash Sanjay Bhalgat et al.2024 · 13 citations
- LSD-C: Linearly Separable Deep Clusters ↗IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) · no summary yetSylvestre-Alvise Rebuffi et al.2021 · 10 citations
- Semi-Supervised Learning with Scarce Annotations ↗IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · no summary yetSylvestre-Alvise Rebuffi et al.2020 · 8 citations
- AutoCorrect: Deep Inductive Alignment of Noisy Geometric Annotations ↗arXiv (Cornell University) · no summary yetHonglie Chen et al.2019 · 8 citations
- 3D-Aware Instance Segmentation and Tracking in Egocentric Videos ↗Lecture notes in computer science · no summary yetYash Sanjay Bhalgat et al.2024 · 5 citations
- Learning to Read by Spelling: Towards Unsupervised Text Recognition ↗arXiv (Cornell University) · no summary yetAnkush Gupta, Andrea Vedaldi, Andrew Zisserman2018 · 5 citations
- Audio-Visual Synchronisation in the wild ↗arXiv (Cornell University) · no summary yetHonglie Chen et al.2021 · 4 citations
- Inductive Visual Localisation: Factorised Training for Superior Generalisation ↗arXiv (Cornell University) · no summary yetAnkush Gupta, Andrea Vedaldi, Andrew Zisserman2018 · 3 citations
- Oxford-IIIT TRECVID 2009 - Notebook Paper ↗no summary yetSreekanth Vempati et al.2009 · 3 citations
- Towards a detailed understanding of objects and scenes in natural images ↗INRIA a CCSD electronic archive server · no summary yetMatthew B. Blaschko et al.2012 · 2 citations
- Oxford-IIIT TRECVID 2010 - Notebook paper. ↗no summary yetMayank Juneja et al.2010 · 1 citation
- The University of Oxford response to the UK government consultation on copyright and AI ↗Oxford University Research Archive (ORA) (University of Oxford) · no summary yetChris Morrison, Andrew Zisserman, Andrea Vedaldi2025
- JADERBERG, VEDALDI, AND ZISSERMAN: SPEEDING UP CONVOLUTIONAL... 1 Speeding up Convolutional Neural Networks with Low Rank Expansions ↗no summary yetMax Jaderberg, Andrea Vedaldi, Andrew Zisserman2016
- CHATFIELD et al.: THE DEVIL IS IN THE DETAILS 1 The devil is in the details: an evaluation of recent feature encoding methods ↗no summary yetKen Chatfield et al.2014
- Synthetic data and artificial neural networks for natural scene text recognition." arXiv preprint arXiv:1406.2227 ↗no summary yetMax Jaderberg et al.2014
- 4. Kernel reconstruction K(x, x0) ⇡ (x)> KZZ (x 0) ↗no summary yetAndrea Vedaldi, Andrew Zisserman, Zz Kzx2013
- Overview Formulation Algorithm Results ↗no summary yetAndrea Vedaldi, Matthew B. Blaschko, Andrew Zisserman2013
- SREEKANTH.V et al.: GENERALIZED RBF FEATURE MAPS 1 Generalized RBF feature maps for Efficient Detection ↗no summary yetSreekanth Vempati et al.2013
- Structured output regression for detection with partial occulsion ↗no summary yetAndrea Vedaldi, Andrew Zisserman2009
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