The DOI matches its Crossref record; 273 of the 275 references it cites were found in a registry or an index.
Visual Object Recognition
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“However, the research reviewed in Grauman and Leibe (2011), Andreopoulos and Tsotsos (2013) and Zhang et al. (2013) is mostly pre-2012, and therefore prior to the recent striking success and dominance of deep learning and related methods.”
From Deep Learning for Generic Object Detection: A Survey (2020) · cites this paper as Grauman and Leibe 2011
Citations
Cites
Items 201–273 of 273
SCRAMSAC: Improving RANSAC's efficiency with a spatial consistency filter
Sattler, T., Leibe, B., & Kobbelt, L. P. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459459 · Cited by 160
Self-citationReal-time 100 object recognition system
Nayar, S. K., Nene, S. A., & Murase, H. (2002) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.1996.506510 · Cited by 158
Active learning for large multi-class problems
Jain, P., & Kapoor, A. (2009) · 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.2009.5206651 · Cited by 157
Image database retrieval with multiple-instance learning techniques
Yang, C., & Lozano‐Pérez, T. (2002) · IEEE International Conference on Data Engineering (ICDE) · doi:10.1109/icde.2000.839416 · Cited by 157
Video data mining using con .gurations of viewpoint invariant regions
Šivic, J., & Zisserman, A. (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.2004.1315071 · Cited by 153
Vijayanarasimhan, S., & Grauman, K. (2009) · 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.2009.5206705 · Cited by 152
Self-citationBeyond Local Appearance: Category Recognition from Pairwise Interactions of Simple Features
Leordeanu, M., Hebert, M., & Sukthankar, R. (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.2007.383091 · Cited by 149
Boostmap: a method for efficient approximate similarity rankings
Athitsos, V., Alon, J., Sclaroff, S., & George Kollios, D. (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.2004.1315173 · Cited by 147
Randomized RANSAC with sequential probability ratio test
Matas, J., & Chum, O. (2005) · doi:10.1109/iccv.2005.198 · Cited by 145
Su, H., Sun, M., Fei-Fei, L., & Savarese, S. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459168 · Cited by 144
Multiple Component Learning for Object Detection
Dollár, P., Babenko, B., Belongie, S., Perona, P., & Zhuowen Tu, A. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88688-4_16 · Cited by 136
On the verification of hypothesized matches in model-based recognition
Grimson, W. E. L., & Huttenlocher, D. P. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.106994 · Cited by 136
Fast scale invariant feature detection and matching on programmable graphics hardware
Cornelis, N., & Gool, L. V. (2008) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2008.4563087 · Cited by 134
Multiple Target Tracking in World Coordinate with Single, Minimally Calibrated Camera
Choi, W., & Savarese, S. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15561-1_40 · Cited by 132
Hierarchical Part-Based Visual Object Categorization
Bouchard, G., & Triggs, 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.2005.174 · Cited by 131
Foreground Focus: Unsupervised Learning from Partially Matching Images
Lee, Y. J., & Grauman, K. L. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-009-0252-y · Cited by 130
Self-citationA coarse-to-fine strategy for multiclass shape detection
Amit, Y., Geman, D., & Fan, X. (2004) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2004.111 · Cited by 129
3D object modeling and recognition using affine-invariant patches and multi-view spatial constraints
Rothganger, F., Lazebnik, S., Schmid, C., & Ponce, J. (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.2003.1211480 · Cited by 127
RANSAC for (Quasi-)Degenerate data (QDEGSAC)
Frahm, J., & Pollefeys, M. (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.2006.235 · Cited by 126
Integrating representative and discriminant models for object category detection
Fritz, M., Leibe, B., Barbara Caputo, B., & Schiele, B. (2005) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2005.124 · Cited by 124
Self-citationTowards Scalable Dataset Construction: An Active Learning Approach
Collins, B. M., Deng, J., Li, K., & Fei-Fei, L. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88682-2_8 · Cited by 118
Learning distance functions for image retrieval
Hertz, T., Bar-Hillel, A., & Weinshall, D. (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.2004.1315215 · Cited by 117
Unsupervised modeling of object categories using link analysis techniques
Kim, G.-H., Faloutsos, C., & Hebert, M. (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.2008.4587502 · Cited by 112
Learning Visual Representations using Images with Captions
Quattoni, A., Collins, M., & Darrell, T. (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.2007.383173 · Cited by 109
Proximity Distribution Kernels for Geometric Context in Category Recognition
Ling, H., & Soatto, S. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408859 · Cited by 99
A single framework for vehicle roll, pitch, yaw estimation and obstacles detection by stereovision
Labayrade, R., & Aubert, D. (2004) · IEEE Intelligent Vehicles Symposium · doi:10.1109/ivs.2003.1212878 · Cited by 87
Sub-linear Indexing for Large Scale Object Recognition
Obdržálek, Š., & Matas, J. (2005) · British Machine Vision Conference (BMVC) · doi:10.5244/c.19.3 · Cited by 85
Extracting Subimages of an Unknown Category from a Set of Images
Todorović, S., & Ahuja, N. (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.2006.116 · Cited by 84
Object Mining Using a Matching Graph on Very Large Image Collections
Philbin, J. F., & Zisserman, A. (2008) · Indian Conference on Computer Vision, Graphics and Image Processing · doi:10.1109/icvgip.2008.103 · Cited by 84
Spatio-temporal pyramid matching for sports videos
Choi, J., Jeon, W. J., & Lee, S. (2008) · Multimedia Information Retrieval · doi:10.1145/1460096.1460144 · Cited by 83
A shape-based object class model for knowledge transfer
Stark, M. M., Goesele, M., & Schiele, B. (2009) · IEEE International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459231 · Cited by 83
Multi-Aspect Detection of Articulated Objects
Seemann, E., Leibe, B., & Schiele, B. (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.2006.193 · Cited by 80
Self-citationMulti-modal Clustering for Multimedia Collections
Bekkerman, R., & Jeon, J. (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.2007.383223 · Cited by 75
2D–3D-based on-board pedestrian detection system
Gerónimo, D., Sappa, A. D., Ponsa, D., & López, A. M. (2010) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2009.07.008 · Cited by 75
Support Kernel Machines for Object Recognition
Kumar, A., & Sminchisescu, C. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409065 · Cited by 72
Beyond active noun tagging: Modeling contextual interactions for multi-class active learning
Siddiquie, B., & Gupta, A. (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.2010.5540044 · Cited by 71
Recognizing objects by piecing together the Segmentation Puzzle
Cour, T., & Shi, J. (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.2007.383051 · Cited by 71
Accounting for the Relative Importance of Objects in Image Retrieval
Hwang, S. J., & Grauman, K. L. (2010) · British Machine Vision Conference (BMVC) · doi:10.5244/c.24.58 · Cited by 71
Self-citationFrom appearance to context-based recognition: Dense labeling in small images
Parikh, D., Zitnick, C. L., & Chen, 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.2008.4587595 · Cited by 65
Pyramid Match Hashing: Sub-Linear Time Indexing Over Partial Correspondences
Grauman, K. L., & Darrell, T. (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.2007.383225 · Cited by 64
Self-citationFast PRISM: Branch and Bound Hough Transform for Object Class Detection
Lehmann, A., Leibe, B., & Gool, L. V. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-010-0342-x · Cited by 63
Self-citationLearning semantic distance from community-tagged media collection
Qi, G.-J., Hua, X., & Zhang, H.-J. (2009) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/1631272.1631307 · Cited by 60
From omnidirectional images to hierarchical localization
Murillo, A. C., Sagüés, C., Guerrero, J. J., Goedemé, T., Tuytelaars, T., & Gool, L. V. (2006) · Robotics and Autonomous Systems · doi:10.1016/j.robot.2006.12.004 · Cited by 57
Liu, D., & Chen, T. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408852 · Cited by 56
View Synthesis for Recognizing Unseen Poses of Object Classes
Savarese, S., & Fei-Fei, L. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88690-7_45 · Cited by 54
Cost-Sensitive Active Visual Category Learning
Vijayanarasimhan, S., & Grauman, K. L. (2010) · International Journal of Computer Vision · doi:10.1007/s11263-010-0372-4 · Cited by 54
Self-citationToward coherent object detection and scene layout understanding
Bao, S. Y., Sun, M., & Savarese, 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.2010.5540229 · Cited by 53
Talking pictures: Temporal grouping and dialog-supervised person recognition
Cour, T., Sapp, B., Nagle, A., & Taskar, B. (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.2010.5540106 · Cited by 51
Larlus, D., Verbeek, J. J., & Jurie, F. (2009) · International Journal of Computer Vision · doi:10.1007/s11263-009-0245-x · Cited by 50
Adaptive Vocabulary Forests br Dynamic Indexing and Category Learning
YEH, T. P., Lee, J., & Darrell, T. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4409053 · Cited by 49
Scene Discovery by Matrix Factorization
Loeff, N., & Farhadi, A. (2008) · Lecture notes in computer science · doi:10.1007/978-3-540-88693-8_33 · Cited by 48
Creating statistically anisotropic and inhomogeneous perturbations
Armendariz-Picon, C. (2007) · Journal of Cosmology and Astroparticle Physics · doi:10.1088/1475-7516/2007/09/014 · Cited by 47
Unsupervised Segmentation of Objects using Efficient Learning
Arora, H., Loeff, N., Forsyth, D. A., & Ahuja, N. (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.2007.383011 · Cited by 42
Near duplicate image identification with patially Aligned Pyramid Matching
Xu, D., Cham, T., Yan, S., & Chang, S.-F. (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.2008.4587720 · Cited by 40
Backprojection Revisited: Scalable Multi-view Object Detection and Similarity Metrics for Detections
Razavi, N., Gall, J., & Gool, L. V. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15549-9_45 · Cited by 38
Collect-cut: Segmentation with top-down cues discovered in multi-object images
Lee, Y. J., & Grauman, K. L. (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.2010.5539772 · Cited by 33
Self-citationUnsupervised learning of hierarchical spatial structures in images
Parikh, D., Zitnick, C. L., & Chen, T. (2009) · 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.2009.5206549 · Cited by 32
Li, L.-J., Socher, R., & Fei-Fei, L. (2009) · 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/cvprw.2009.5206718 · Cited by 30
Shape based image retrieval and classification
Nunes, J. F., Moreira, P. M., & Tavares, J. M. R. S. (2010) · Cited by 22
A Steiner tree approach to efficient object detection
Russakovsky, O., & Ng, A. Y. (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.2010.5540097 · Cited by 21
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback
Thomas, A., Ferrari, V., Leibe, B., Tuytelaars, T., & Gool, L. V. (2007) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2007.4408831 · Cited by 21
Self-citation(2004) · Lecture notes in computer science · doi:10.1007/b99676 · Cited by 19
Shape-from-recognition: Recognition enables meta-data transfer
Thomas, A., Ferrari, V., Leibe, B., Tuytelaars, T., & Gool, L. V. (2009) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2009.03.010 · Cited by 19
Self-citationLearning Kernel Expansions for Image Classification
de la Torre, F. N., & Vinyals, O. (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.2007.383151 · Cited by 18
Bect, J., Blanc‐Féraud, L., Aubert, G., & Chambolle, A. (2004) · Lecture notes in computer science · doi:10.1007/b97873 · Cited by 17
Multiple label prediction for image annotation with multiple Kernel correlation models
Yakhnenko, O., & Honavar, V. (2009) · 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops · doi:10.1109/cvprw.2009.5204274 · Cited by 16
On Constructing Facial Similarity Maps
Holub, A. D., Liu, Y.-H., & Perona, P. (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.2007.383281 · Cited by 16
Foreground Focus: Finding Meaningful Features in Unlabeled Images
Lee, Y. J., & Grauman, K. L. (2008) · British Machine Vision Conference (BMVC) · doi:10.5244/c.22.52 · Cited by 10
Self-citationObject localisation using the Generative Template of Features
Allan, M., & Williams, C. K. I. (2009) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2009.02.002 · Cited by 8
Advances in Multimedia Modeling
Li, S., Gurrin, C., Hong, R., Yan, S., Sebe, N., Mei, T., Wang, M., & Saddik, A. (2013) · Lecture notes in computer science · doi:10.1007/978-3-642-35728-2 · Cited by 6
Simultaneous variational image segmentation and object recognition via shape sparse representation
Chen, F., Yu, H., & Hu, R. (2010) · Proceedings - International Conference on Image Processing · doi:10.1109/icip.2010.5654176 · Cited by 4
Shape discovery from unlabeled image collections
Lee, Y. J., & Grauman, K. L. (2009) · 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/cvprw.2009.5206698 · Cited by 3
Self-citationGösele, M. (2010) · Spring Conference on Computer Graphics · doi:10.1145/1925059.1925063 · Cited by 1
Cited by
Sorted by citations
Deep Learning for Generic Object Detection: A Survey
Liu, L., Ouyang, W., Wang, X., Fieguth, P., Chen, J., Liu, X., & Pietikäinen, M. (2020) · International Journal of Computer Vision · doi:10.1007/s11263-019-01247-4 · Cited by 2,965
Multimodal Distributional Semantics
Bruni, E., Tran, N. K., & Baroni, M. (2014) · Journal of Artificial Intelligence Research · doi:10.1613/jair.4135 · Cited by 929
R2D2: Repeatable and Reliable Detector and DescriptorPreprint
Revaud, J., Weinzaepfel, P., Souza, C. D., Pion, N., Csurka, G., Cabon, Y., & Humenberger, M. (2019) · arXiv (Cornell University) · doi:10.48550/arxiv.1906.06195 · Cited by 379
Sharma, V., & Mir, R. N. (2020) · Computer Science Review · doi:10.1016/j.cosrev.2020.100301 · Cited by 230
Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning
Lazaridou, A., Dinu, G., & Baroni, M. (2015) · doi:10.3115/v1/p15-1027 · Cited by 218
Metadata
- Authors
- Grauman, K., & Leibe, B.
- Venue
- Synthesis Lectures on Artificial Intelligence and Machine Learning
- Publisher
- Springer International Publishing
- Published
- 2011
- Volume
- 5
- Issue
- 2
- Pages
- 1-181
- ISSN
- 1939-4608 (ISSN-L)
- 1939-4616
- OpenAlex
- W2162250601
- Cited by
- 126
- References
- 275
- Citations by year
- 2023: 5 · 2022: 3 · 2021: 11 · 2020: 12 · 2019: 20 · 2018: 11 · 2017: 9 · 2016: 15 · 2015: 14 · 2014: 12 · 2013: 11 · 2012: 3
- FWCI
- 8.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Synthesis lectures on artificial intelligence and machine learning (publishedVersion)
- RWTH Publications (RWTH Aachen) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Artificial Intelligence › Domain Adaptation and Few-Shot Learning
- Keywords
- visual object recognition, image classification, visual categorization, object localization, image representation, learning methods, computer vision algorithms, robotics, information retrieval
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
