Year |
Citation |
Score |
2023 |
Choudhury S, Laina I, Rupprecht C, Vedaldi A. The Curious Layperson: Fine-Grained Image Recognition Without Expert Labels. International Journal of Computer Vision. 132: 537-554. PMID 38303743 DOI: 10.1007/s11263-023-01885-9 |
0.3 |
|
2021 |
Han K, Rebuffi SA, Ehrhardt S, Vedaldi A, Zisserman A. AutoNovel: Automatically Discovering and Learning Novel Visual Categories. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 34166184 DOI: 10.1109/TPAMI.2021.3091944 |
0.674 |
|
2021 |
Gong W, Beckmann CF, Vedaldi A, Smith SM, Peng H. Optimising a Simple Fully Convolutional Network for Accurate Brain Age Prediction in the PAC 2019 Challenge. Frontiers in Psychiatry. 12: 627996. PMID 34040552 DOI: 10.3389/fpsyt.2021.627996 |
0.624 |
|
2021 |
Wu S, Rupprecht C, Vedaldi A. Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 33914682 DOI: 10.1109/TPAMI.2021.3076536 |
0.321 |
|
2020 |
Peng H, Gong W, Beckmann CF, Vedaldi A, Smith SM. Accurate brain age prediction with lightweight deep neural networks. Medical Image Analysis. 68: 101871. PMID 33197716 DOI: 10.1016/j.media.2020.101871 |
0.661 |
|
2020 |
Ulyanov D, Vedaldi A, Lempitsky V. Deep Image Prior International Journal of Computer Vision. 128: 1867-1888. DOI: 10.1007/S11263-020-01303-4 |
0.433 |
|
2019 |
Lenc K, Vedaldi A. Understanding Image Representations by Measuring Their Equivariance and Equivalence. International Journal of Computer Vision. 127: 456-476. PMID 31148885 DOI: 10.1007/S11263-018-1098-Y |
0.377 |
|
2019 |
Balntas V, Lenc K, Vedaldi A, Tuytelaars T, Matas J, Mikolajczyk K. HPatches: A benchmark and evaluation of handcrafted and learned local descriptors. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 31094682 DOI: 10.1109/TPAMI.2019.2915233 |
0.314 |
|
2019 |
Ehrhardt S, Monszpart A, Mitra NJ, Vedaldi A. Taking visual motion prediction to new heightfields Computer Vision and Image Understanding. 181: 14-25. DOI: 10.1016/J.Cviu.2019.02.005 |
0.411 |
|
2018 |
Novotny D, Larlus D, Vedaldi A. Capturing the Geometry of Object Categories from Video Supervision. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 30235118 DOI: 10.1109/Tpami.2018.2871117 |
0.375 |
|
2018 |
Vedaldi A, Lux M, Bertini M. MatConvNet Acm Sigmultimedia Records. 10: 9-9. DOI: 10.1145/3210241.3210250 |
0.346 |
|
2017 |
Bilen H, Fernando B, Gavves E, Vedaldi A. Action Recognition with Dynamic Image Networks. Ieee Transactions On Pattern Analysis and Machine Intelligence. PMID 29990080 DOI: 10.1109/Tpami.2017.2769085 |
0.422 |
|
2017 |
Girshick R, Kokkinos I, Laptev I, Malik J, Papandreou G, Vedaldi A, Wang X, Yan S, Yuille A. Editorial- Deep Learning for Computer Vision Computer Vision and Image Understanding. 164: 1-2. DOI: 10.1016/J.Cviu.2017.11.006 |
0.318 |
|
2016 |
Cimpoi M, Maji S, Kokkinos I, Vedaldi A. Deep Filter Banks for Texture Recognition, Description, and Segmentation. International Journal of Computer Vision. 118: 65-94. PMID 27471340 DOI: 10.1007/S11263-015-0872-3 |
0.454 |
|
2016 |
Mahendran A, Vedaldi A. Visualizing Deep Convolutional Neural Networks Using Natural Pre-images International Journal of Computer Vision. 120: 233-255. DOI: 10.1007/S11263-016-0911-8 |
0.367 |
|
2016 |
Cimpoi M, Maji S, Kokkinos I, Vedaldi A. Deep Filter Banks for Texture Recognition, Description, and Segmentation International Journal of Computer Vision. 118: 65-94. DOI: 10.1007/s11263-015-0872-3 |
0.357 |
|
2016 |
Jaderberg M, Simonyan K, Vedaldi A, Zisserman A. Reading Text in the Wild with Convolutional Neural Networks International Journal of Computer Vision. 116: 1-20. DOI: 10.1007/S11263-015-0823-Z |
0.395 |
|
2015 |
Pedersoli M, Vedaldi A, Gonzàlez J, Roca X. A coarse-to-fine approach for fast deformable object detection Pattern Recognition. 48: 1844-1853. DOI: 10.1016/J.Patcog.2014.11.006 |
0.355 |
|
2015 |
Gonfaus JM, Pedersoli M, Gonzàlez J, Vedaldi A, Roca FX. Factorized appearances for object detection Computer Vision and Image Understanding. 138: 92-101. DOI: 10.1016/J.Cviu.2015.04.008 |
0.365 |
|
2014 |
Simonyan K, Vedaldi A, Zisserman A. Learning Local Feature Descriptors Using Convex Optimisation. Ieee Transactions On Pattern Analysis and Machine Intelligence. 36: 1573-85. PMID 26353339 DOI: 10.1109/Tpami.2014.2301163 |
0.67 |
|
2014 |
Cimpoi M, Maji S, Kokkinos I, Mohamed S, Vedaldi A. Describing textures in the wild Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 3606-3613. DOI: 10.1109/CVPR.2014.461 |
0.319 |
|
2014 |
Jaderberg M, Vedaldi A, Zisserman A. Deep features for text spotting Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 8692: 512-528. DOI: 10.1007/978-3-319-10593-2_34 |
0.333 |
|
2013 |
Juneja M, Vedaldi A, Jawahar CV, Zisserman A. Blocks that shout: Distinctive parts for scene classification Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 923-930. DOI: 10.1109/CVPR.2013.124 |
0.372 |
|
2013 |
Simonyan K, Vedaldi A, Zisserman A. Deep Fisher networks for large-scale image classification Advances in Neural Information Processing Systems. |
0.332 |
|
2012 |
Vedaldi A, Zisserman A. Efficient additive kernels via explicit feature maps. Ieee Transactions On Pattern Analysis and Machine Intelligence. 34: 480-92. PMID 21808094 DOI: 10.1109/Tpami.2011.153 |
0.668 |
|
2012 |
Vedaldi A, Zisserman A. Sparse kernel approximations for efficient classification and detection Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2320-2327. DOI: 10.1109/CVPR.2012.6247943 |
0.382 |
|
2012 |
Simonyan K, Vedaldi A, Zisserman A. Descriptor learning using convex optimisation Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 7572: 243-256. DOI: 10.1007/978-3-642-33718-5_18 |
0.31 |
|
2011 |
Chatfield K, Lempitsky V, Vedaldi A, Zisserman A. The devil is in the details: An evaluation of recent feature encoding methods Bmvc 2011 - Proceedings of the British Machine Vision Conference 2011. DOI: 10.5244/C25.76 |
0.351 |
|
2010 |
Vempati S, Vedaldi A, Zisserman A, Jawahar CV. Generalized RBF feature maps for Efficient Detection British Machine Vision Conference, Bmvc 2010 - Proceedings. DOI: 10.5244/C.24.2 |
0.347 |
|
2010 |
Vedaldi A, Ling H, Soatto S. Knowing a good feature when you see it: Ground truth and methodology to evaluate local features for recognition Studies in Computational Intelligence. 285: 27-49. DOI: 10.1007/978-3-642-12848-6_2 |
0.63 |
|
2010 |
Blaschko MB, Vedaldi A, Zisserman A. Simultaneous object detection and ranking with weak supervision Advances in Neural Information Processing Systems 23: 24th Annual Conference On Neural Information Processing Systems 2010, Nips 2010. |
0.335 |
|
2009 |
Vedaldi A, Gulshan V, Varma M, Zisserman A. Multiple Kernels for object detection Proceedings of the Ieee International Conference On Computer Vision. 606-613. DOI: 10.1109/ICCV.2009.5459183 |
0.354 |
|
2009 |
Vempati S, Jain M, Parkhi OM, Jawahar CV, Marszalek M, Vedaldi A, Zisserman A. Oxford-IIIT TRECVID 2009-notebook paper 2009 Trec Video Retrieval Evaluation Notebook Papers. |
0.324 |
|
2008 |
Vedaldi A, Guidi G, Soatto S. Joint data alignment up to (lossy) transformations 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587781 |
0.552 |
|
2008 |
Vedaldi A, Soatto S. Relaxed matching kernels for robust image comparison 26th Ieee Conference On Computer Vision and Pattern Recognition, Cvpr. DOI: 10.1109/CVPR.2008.4587619 |
0.53 |
|
2008 |
Vedaldi A, Soatto S. Quick shift and kernel methods for mode seeking Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5305: 705-718. DOI: 10.1007/978-3-540-88693-8-52 |
0.499 |
|
2008 |
Fulkerson B, Vedaldi A, Soatto S. Localizing objects with smart dictionaries Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5302: 179-192. DOI: 10.1007/978-3-540-88682-2-15 |
0.578 |
|
2007 |
Vedaldi A, Guidi G, Soatto S. Moving forward in structure from motion Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383117 |
0.465 |
|
2007 |
Vedaldi A, Soatto S. A complexity-distortion approach to joint pattern alignment Advances in Neural Information Processing Systems. 1425-1432. |
0.519 |
|
2006 |
Vedaldi A, Soatto S. Local features, all grown up Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 1753-1760. DOI: 10.1109/CVPR.2006.176 |
0.495 |
|
2006 |
Vedaldi A, Soatto S. Viewpoint induced deformation statistics and the design of viewpoint invariant features: Singularities and occlusions Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3952: 360-373. DOI: 10.1007/11744047_28 |
0.54 |
|
2005 |
Vedaldi A, Soatto S. Features for recognition: Viewpoint invariance for non-planar scenes Proceedings of the Ieee International Conference On Computer Vision. 1474-1481. DOI: 10.1109/ICCV.2005.99 |
0.532 |
|
2005 |
Vedaldi A, Tin H, Favaro P, Soatto S. KALMANSAC: Robust filtering by consensus Proceedings of the Ieee International Conference On Computer Vision. 633-640. DOI: 10.1109/ICCV.2005.130 |
0.476 |
|
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