Visual Object Recognition

ImageNet: A large-scale hierarchical image database

Deng, J., Dong, W., Socher, R., Li, L.-J., Li, K., & Fei-Fei, L. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206848 · Cited by 65,333

Distinctive Image Features from Scale-Invariant Keypoints

Lowe, D. G. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000029664.99615.94 · Cited by 55,589

Histograms of Oriented Gradients for Human Detection

Dalal, N., & Triggs, B. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.177 · Cited by 33,584

Random sample consensus: A paradigm for model fitting with applications to image analysis and automated cartography

Fischler, M. A., & Bolles, R. C. (1981) · Communications of the ACM · doi:10.1145/358669.358692 · Cited by 25,893

A decision-theoretic generalization of on-line learning and an application to boosting

Freund, Y., & Schapire, R. E. (1997) · Journal of Computer and System Sciences · doi:10.1006/jcss.1997.1504 · Cited by 20,466

The pascal visual object classes (VOC) challenge

Everingham, M., Van Gool, L., Williams, C. K. I., Winn, J., & Zisserman, A. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-009-0275-4 · Cited by 19,599

Rapid object detection using a boosted cascade of simple features

Viola, P., & Jones, M. (2005) · Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001 · doi:10.1109/cvpr.2001.990517 · Cited by 18,300

Normalized cuts and image segmentation

Shi, J., & Malik, J. (2000) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.868688 · Cited by 15,935

Robust Real-Time Face Detection

Viola, P., & Jones, M. J. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000013087.49260.fb · Cited by 14,097

Speeded-Up Robust Features (SURF)

Bay, H., Ess, A., Tuytelaars, T., & Van Gool, L. (2008) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2007.09.014 · Cited by 13,557

The Hungarian method for the assignment problem

Kuhn, H. W. (1955) · Naval Research Logistics Quarterly · doi:10.1002/nav.3800020109 · Cited by 13,120

Eigenfaces vs. Fisherfaces: recognition using class specific linear projection

Belhumeur, P. N., Hespanha, J. P., & Kriegman, D. J. (1997) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.598228 · Cited by 11,798

Mean shift: a robust approach toward feature space analysis

Comaniciu, D., & Meer, P. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.1000236 · Cited by 11,523

Modern Information Retrieval

Baeza-Yates, R. A., & Ribeiro-Neto, B. A. (1999) · Cited by 11,505

Object Detection with Discriminatively Trained Part-Based Models

Felzenszwalb, P. F., Girshick, R. B., McAllester, D., & Ramanan, D. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.167 · Cited by 9,853

Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories

Lazebnik, S., Schmid, C., & Ponce, J. (2006) · 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (CVPR'06) · doi:10.1109/cvpr.2006.68 · Cited by 7,916

A performance evaluation of local descriptors

Mikolajczyk, K., & Schmid, C. (2005) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2005.188 · Cited by 6,723

Video Google: a text retrieval approach to object matching in videos

Sivic, & Zisserman (2003) · Proceedings Ninth IEEE International Conference on Computer Vision · doi:10.1109/iccv.2003.1238663 · Cited by 6,367

Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope

Oliva, A., & Torralba, A. B. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011139631724 · Cited by 6,321

Shape matching and object recognition using shape contexts

Belongie, S., Malik, J., & Puzicha, J. (2002) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.993558 · Cited by 6,306

GrabCut: Interactive foreground extraction using iterated graph cuts

Rother, C., Kolmogorov, V., & Blake, A. (2004) · ACM Transactions on Graphics · doi:10.1145/1015706.1015720 · Cited by 5,703

Basic objects in natural categories

Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., & Boyes-Braem, P. (1976) · Cognitive Psychology · doi:10.1016/0010-0285(76)90013-x · Cited by 5,643

Color indexing

Swain, M. J., & Ballard, D. H. (1991) · International Journal of Computer Vision · doi:10.1007/bf00130487 · Cited by 5,625

Recognition-by-components: A theory of human image understanding.

Biederman, I. (1987) · Psychological Review · doi:10.1037/0033-295x.94.2.115 · Cited by 5,621

Face recognition using eigenfaces

Turk, M., & Pentland, A. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1991.139758 · Cited by 5,262

Receptive fields of single neurones in the cat's striate cortex

Hubel, D. H., & Wiesel, T. N. (1959) · The Journal of Physiology · doi:10.1113/jphysiol.1959.sp006308 · Cited by 4,653

Machine Learning for High-Speed Corner Detection

Rosten, E., & Drummond, T. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_34 · Cited by 4,555

Generalizing the Hough transform to detect arbitrary shapes

Ballard, D. H. (1981) · Pattern Recognition · doi:10.1016/0031-3203(81)90009-1 · Cited by 4,434

Visual categorization with bags of keypoints

Csurka, G. (2004) · Cited by 4,379

LabelMe: A Database and Web-Based Tool for Image Annotation

Russell, B. C., Torralba, A., Murphy, K. P., & Freeman, W. T. (2008) · International Journal of Computer Vision · doi:10.1007/s11263-007-0090-8 · Cited by 4,210

Approximate nearest neighbors: towards removing the curse of dimensionality

Indyk, P., & Motwani, R. (1998) · Proceedings of the thirtieth annual ACM symposium on Theory of computing - STOC '98 · doi:10.1145/276698.276876 · Cited by 4,188

Learning a Similarity Metric Discriminatively, with Application to Face Verification

Chopra, S., Hadsell, R., & LeCun, Y. (2005) · 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) · doi:10.1109/cvpr.2005.202 · Cited by 4,036

Robust wide-baseline stereo from maximally stable extremal regions

Matas, J., Chum, O., Urban, M., & Pajdla, T. (2004) · Image and Vision Computing · doi:10.1016/j.imavis.2004.02.006 · Cited by 3,760

Scalable Recognition with a Vocabulary Tree

Nistér, D., & Stewénius, H. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.264 · Cited by 3,641

Neural network-based face detection

Rowley, H. A., Baluja, S., & Kanade, T. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.655647 · Cited by 3,554

Preface: Cerebral Cortex Has Come of Age

Goldman, P. S., & RAKIC, P. T. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1-a · Cited by 3,537

Scale & Affine Invariant Interest Point Detectors

Mikolajczyk, K., & Schmid, C. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000027790.02288.f2 · Cited by 3,436

Locality-constrained Linear Coding for image classification

Wang, J., Yang, J., Yu, K., Lv, F., Huang, T., & Gong, Y. (2010) · 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2010.5540018 · Cited by 3,100

A discriminatively trained, multiscale, deformable part model

Felzenszwalb, P. F., McAllester, D., & Ramanan, D. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587597 · Cited by 2,972

Locality-sensitive hashing scheme based on p-stable distributions

Datar, M., Immorlica, N., Indyk, P., & Mirrokni, V. (2004) · Annual Symposium on Computational Geometry (SoCG) · doi:10.1145/997817.997857 · Cited by 2,971

A comparison of affine region detectors

Mikolajczyk, K., Tuytelaars, T., Schmid, C., Zisserman, A., Matas, J., Schaffalitzky, F., Kadir, T., & Gool, L. V. (2005) · International Journal of Computer Vision · doi:10.1007/s11263-005-3848-x · Cited by 2,939

Object retrieval with large vocabularies and fast spatial matching

Philbin, J. F., Chum, O., Isard, M., Šivic, J., & Zisserman, A. (2007) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2007.383172 · Cited by 2,931

Solving the multiple instance problem with axis-parallel rectangles

Dietterich, T. G., Lathrop, R. H., & Lozano-Pérez, T. (1997) · Artificial Intelligence · doi:10.1016/s0004-3702(96)00034-3 · Cited by 2,866

An Algorithm for Finding Best Matches in Logarithmic Expected Time

Friedman, J. H., Bentley, J. L., & Finkel, R. A. (1977) · ACM Transactions on Mathematical Software · doi:10.1145/355744.355745 · Cited by 2,802

Automatic Panoramic Image Stitching using Invariant Features

Brown, M., & Lowe, D. G. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-0002-3 · Cited by 2,709

Using spin images for efficient object recognition in cluttered 3D scenes

Johnson, A., & Hebert, M. (1999) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.765655 · Cited by 2,656

Ferrier lecture. Functional architecture of macaque monkey visual cortex

Hubel, D. H., & Wiesel, T. N. (1977) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1977.0085 · Cited by 2,608

Feature detection with automatic scale selection

Lindeberg, T. (1998) · International Journal of Computer Vision · doi:10.1023/a:1008045108935 · Cited by 2,541

MLESAC: A New Robust Estimator with Application to Estimating Image Geometry

Torr, P. H. S., & Zisserman, A. (2000) · Computer Vision and Image Understanding · doi:10.1006/cviu.1999.0832 · Cited by 2,402

Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories

Fei-Fei, L., Fergus, R., & Perona, P. (2007) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2005.09.012 · Cited by 2,359

An optimal algorithm for approximate nearest neighbor searching fixed dimensions

Arya, S., Mount, D. M., Netanyahu, N. S., Silverman, R., & Wu, A. Y. (1998) · Journal of the ACM · doi:10.1145/293347.293348 · Cited by 2,290

Similarity estimation techniques from rounding algorithms

Charikar, M. (2002) · ACM Symposium on Theory of Computing (STOC) · doi:10.1145/509907.509965 · Cited by 2,263

Pictorial Structures for Object Recognition

Felzenszwalb, P. F., & Huttenlocher, D. P. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000042934.15159.49 · Cited by 2,167

Object class recognition by unsupervised scale-invariant learning

Fergus, R., Perona, P., & Zisserman, A. (2003) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2003.1211479 · Cited by 2,030

Describing objects by their attributes

Farhadi, A., Endres, I., Hoiem, D., & Forsyth, D. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206772 · Cited by 1,917

Ad hoc categories

Barsalou, L. W. (1983) · Memory & Cognition · doi:10.3758/bf03196968 · Cited by 1,879

Visual learning and recognition of 3-d objects from appearance

Murase, H., & Nayar, S. K. (1995) · International Journal of Computer Vision · doi:10.1007/bf01421486 · Cited by 1,873

Learning to detect unseen object classes by between-class attribute transfer

Lampert, C. H., Nickisch, H., & Harmeling, S. (2009) · 2009 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2009.5206594 · Cited by 1,849

On the resemblance and containment of documents

Broder, A. (2002) · Compression and Complexity of Sequences (SEQUENCES) · doi:10.1109/sequen.1997.666900 · Cited by 1,818

Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image Vocabulary

Duygulu, P., Barnard, K., Freitas, J., & Forsyth, D. A. (2002) · Lecture notes in computer science · doi:10.1007/3-540-47979-1_7 · Cited by 1,624

Statistical Color Models with Application to Skin Detection

Jones, M., & Rehg, J. M. (2002) · International Journal of Computer Vision · doi:10.1023/a:1013200319198 · Cited by 1,542

The pyramid match kernel: discriminative classification with sets of image features

Grauman, K. L., & Darrell, T. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.239 · Cited by 1,500

Evaluation of Interest Point Detectors

Schmid, C., Mohr, R., & Bauckhage, C. (2000) · International Journal of Computer Vision · doi:10.1023/a:1008199403446 · Cited by 1,484

Lost in quantization: Improving particular object retrieval in large scale image databases

Philbin, J., Chum, O., Isard, M., Sivic, J., & Zisserman, A. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587635 · Cited by 1,478

Representing shape with a spatial pyramid kernel

Bosch, A., Zisserman, A., & Muñoz, X. (2007) · ACM International Conference on Image and Video Retrieval (CIVR) · doi:10.1145/1282280.1282340 · Cited by 1,423

Attribute and simile classifiers for face verification

Kumar, N., Berg, A. C., Belhumeur, P. N., & Nayar, S. K. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459250 · Cited by 1,403

Feature extraction from faces using deformable templates

Yuille, A., Hallinan, P. W., & Cohen, D. S. (1992) · International Journal of Computer Vision · doi:10.1007/bf00127169 · Cited by 1,373

The Representation and Matching of Pictorial Structures

Fischler, M. A., & Elschlager, R. A. (1973) · IEEE Transactions on Computers · doi:10.1109/t-c.1973.223602 · Cited by 1,322

A Trainable System for Object Detection

Papageorgiou, C., & Poggio, T. (2000) · International Journal of Computer Vision · doi:10.1023/a:1008162616689 · Cited by 1,289

Local Invariant Feature Detectors: A Survey

Tuytelaars, T., & Mikolajczyk, K. (2007) · now publishers, Inc. eBooks · doi:10.1561/0600000017 · Cited by 1,278

Image Classification using Random Forests and Ferns

Bosch, A., Zisserman, A., & Muñoz, X. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409066 · Cited by 1,254

Semantic hashing

Salakhutdinov, R., & Hinton, G. (2009) · International Journal of Approximate Reasoning · doi:10.1016/j.ijar.2008.11.006 · Cited by 1,246

A spectral technique for correspondence problems using pairwise constraints

Leordeanu, M., & Hebert, M. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.20 · Cited by 1,242

Scale-space theory: a basic tool for analyzing structures at different scales

Lindeberg, T. (1994) · Journal of Applied Statistics · doi:10.1080/757582976 · Cited by 1,231

Saliency, Scale and Image Description

Kadir, T., & Brady, M. (2001) · International Journal of Computer Vision · doi:10.1023/a:1012460413855 · Cited by 1,195

Matching with PROSAC — Progressive Sample Consensus

Chum, O., & Matas, J. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.221 · Cited by 1,178

Contour and Texture Analysis for Image Segmentation

Malik, J., Belongie, S., Leung, T., & Shi, J. (2001) · International Journal of Computer Vision · doi:10.1023/a:1011174803800 · Cited by 1,107

Indexing based on scale invariant interest points

Mikolajczyk, K., & Schmid, C. (2002) · Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001 · doi:10.1109/iccv.2001.937561 · Cited by 1,101

Learning mid-level features for recognition

Boureau, Y.-L., Bach, F., LeCun, Y., & Ponce, J. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539963 · Cited by 1,091

A graduated assignment algorithm for graph matching

Gold, S., & Rangarajan, A. (1996) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.491619 · Cited by 1,090

Shape Classification Using the Inner-Distance

Ling, H., & Jacobs, D. W. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.41 · Cited by 1,069

A Boosted Particle Filter: Multitarget Detection and Tracking

Okuma, K., Taleghani, A., de Freitas, N., Little, J. J., & Lowe, D. G. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24670-1_3 · Cited by 1,025

Three-dimensional object recognition

Besl, P. J., & Jain, R. (1985) · ACM Computing Surveys · doi:10.1145/4078.4081 · Cited by 970

Example-based object detection in images by components

Mohan, A., Papageorgiou, C., & Poggio, T. (2001) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.917571 · Cited by 966

Poselets: Body part detectors trained using 3D human pose annotations

Bourdev, L., & Malik, J. (2009) · 2009 IEEE 12th International Conference on Computer Vision · doi:10.1109/iccv.2009.5459303 · Cited by 961

Robust Object Detection with Interleaved Categorization and Segmentation

Leibe, B., Leonardis, A., & Schiele, B. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-007-0095-3 · Cited by 947

Recognising panoramas

Brown, & Lowe (2003) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238630 · Cited by 934

Cascade object detection with deformable part models

Felzenszwalb, P. F., Girshick, R., & McAllester, D. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539906 · Cited by 929

Sampling Strategies for Bag-of-Features Image Classification

Nowak, E., Jurie, F., & Triggs, B. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744085_38 · Cited by 927

Pedestrian Detection in Crowded Scenes

Leibe, B., Seemann, E., & Schiele, B. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.272 · Cited by 880

Shape indexing using approximate nearest-neighbour search in high-dimensional spaces

Beis, J. S., & Lowe, D. G. (2002) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.1997.609451 · Cited by 879

Context-based vision system for place and object recognition

Torralba, Murphy, M., Freeman, & Рубин (2003) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238354 · Cited by 875

Object Recognition with Features Inspired by Visual Cortex

Serre, T., Wolf, L., & Poggio, T. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.254 · Cited by 850

Object categorization by learned universal visual dictionary

Winn, J. M., Criminisi, A., & Minka, T. P. (2005) · doi:10.1109/iccv.2005.171 · Cited by 845

Shape Matching and Object Recognition Using Low Distortion Correspondences

Berg, A. C., Berg, T. L., & Malik, J. (2005) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2005.320 · Cited by 844

Multiscale conditional random fields for image labeling

He, X., Zemel, R. S., & Carreira-Perpiñán, M. Á. (2004) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2004.1315232 · Cited by 843

On Kernel Target Alignment

Cristianini, N., Kandola, J., Elisseeff, A., & Shawe-Taylor, J. S. (2006) · Studies in fuzziness and soft computing · doi:10.1007/3-540-33486-6_8 · Cited by 838

People-tracking-by-detection and people-detection-by-tracking

Andriluka, M., Roth, S., & Schiele, B. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587583 · Cited by 825

Fast pose estimation with parameter-sensitive hashing

Shakhnarovich, Viola, & Darrell (2003) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2003.1238424 · Cited by 770

Detection and Tracking of Multiple, Partially Occluded Humans by Bayesian Combination of Edgelet based Part Detectors

Wu, B., & Nevatia, R. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-006-0027-7 · Cited by 764

Small codes and large image databases for recognition

Torralba, A., Fergus, R., & Weiss, Y. (2008) · 2008 IEEE Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.2008.4587633 · Cited by 727

Feature extraction from faces using deformable templates

Yuille, A. L., Cohen, D. S., & Hallinan, P. W. (2003) · Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition · doi:10.1109/cvpr.1989.37836 · Cited by 708

Learning object categories from Google's image search

Fergus, R., Fei-Fei, L., Perona, P., & Zisserman, A. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.142 · Cited by 697

Beyond sliding windows: Object localization by efficient subwindow search

Lampert, C. H., Blaschko, M. B., & Hofmann, T. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587586 · Cited by 693

Satisfying general proximity / similarity queries with metric trees

Uhlmann, J. K. (1991) · Information Processing Letters · doi:10.1016/0020-0190(91)90074-r · Cited by 690

Optimised KD-trees for fast image descriptor matching

Silpa-Anan, C., & Hartley, R. I. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587638 · Cited by 690

Real-time object detection for "smart" vehicles

Gavrila, D. M., & Philomin, V. (1999) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.1999.791202 · Cited by 634

Semi-supervised hashing for scalable image retrieval

Wang, J., Kumar, S., & Chang, S. (2010) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2010.5539994 · Cited by 623

Human Detection Based on a Probabilistic Assembly of Robust Part Detectors

Mikolajczyk, K., Schmid, C., & Zisserman, A. (2004) · Lecture notes in computer science · doi:10.1007/978-3-540-24670-1_6 · Cited by 621

Using Multiple Segmentations to Discover Objects and their Extent in Image Collections

Russell, B. C., Freeman, W. T., Efros, A. A., Šivic, J., & Zisserman, A. (2006) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2006.326 · Cited by 618

Matching Widely Separated Views Based on Affine Invariant Regions

Tuytelaars, T., & Gool, L. V. (2004) · International Journal of Computer Vision · doi:10.1023/b:visi.0000020671.28016.e8 · Cited by 616

Matching words and pictures

Barnard, K., Duygulu, P., Forsyth, D., de Freitas, N., Blei, D., & Jordan, M. I. (2003) · OpenMETU (Middle East Technical University) · doi:10.1162/153244303322533214 · Cited by 615

Progressive search space reduction for human pose estimation

Ferrari, V., Marín-Jiménez, M. J., & Zisserman, A. (2008) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr.2008.4587468 · Cited by 613

Objects in Context

Rabinovich, A., Vedaldi, A., Galleguillos, C., Wiewiora, E., & Belongie, S. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408986 · Cited by 608

Associative hierarchical CRFs for object class image segmentation

Ladický, Ľ., Russell, C., Kohli, P., & Torr, P. H. S. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459248 · Cited by 607

Unsupervised Learning of Models for Recognition

Weber, M., Welling, M., & Perona, P. (2000) · Lecture notes in computer science · doi:10.1007/3-540-45054-8_2 · Cited by 605

How shall a thing be called.

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Multi-class active learning for image classification

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