Learning to Localize Objects with Structured Output Regression

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 · see citing works

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 · see citing works

SURF: Speeded Up Robust Features

Bay, H., Tuytelaars, T., & Van Gool, L. (2006) · Lecture Notes in Computer Science · doi:10.1007/11744023_32 · Cited by 14,955 · see citing works

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 · see citing works

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 2,911 · see citing works

The PASCAL visual object classes challenge 2006 (VOC2006) results

Everingham, M., Zisserman, A., Williams, C. K. I., & Gool, L. V. (2006) · Cited by 2,079 · see citing works

Support vector machine learning for interdependent and structured output spaces

Tsochantaridis, I., Hofmann, T., Joachims, T., & Altun, Y. (2004) · International Conference on Machine Learning · doi:10.1145/1015330.1015341 · Cited by 1,493 · see citing works

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 1,407 · see citing works

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 · see citing works

Combined Object Categorization and Segmentation With An Implicit Shape Model

Leibe, B., Leonardis, A., & Schiele, B. (2004) · Cited by 811 · see citing works

The 2005 PASCAL Visual Object Classes Challenge

Everingham, M., Zisserman, A., Williams, C. K. I., Van Gool, L., Allan, M., Bishop, C. M., Chapelle, O., Dalal, N., Deselaers, T., Dorkó, G., et al. (2006) · Lecture Notes in Computer Science · doi:10.1007/11736790_8 · Cited by 765 · see citing works

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 · see citing works

Groups of Adjacent Contour Segments for Object Detection

Ferrari, V., Fevrier, L., Jurie, F., & Schmid, C. (2007) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2007.1144 · Cited by 565 · see citing works

Predicting Structured Data

(2007) · The MIT Press eBooks · doi:10.7551/mitpress/7443.001.0001 · Cited by 528 · see citing works

Untitled work

(1995) · Cited by 359 · see citing works

An Exemplar Model for Learning Object Classes

Chum, O., & 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.2007.383050 · Cited by 256 · see citing works

Weakly Supervised Scale-Invariant Learning of Models for Visual Recognition

Fergus, R., Perona, P., & Zisserman, A. (2006) · International Journal of Computer Vision · doi:10.1007/s11263-006-8707-x · Cited by 197 · see citing works

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 · see citing works

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 · see citing works

Predicting Structured Data (Neural Information Processing)

Bakir, G. H., Hofmann, T., Schölkopf, B., Smola, A. J., Taskar, B., & Vishwanathan, S. V. N. (2007) · The MIT Press eBooks · Cited by 93 · see citing works

Detecting lameness using ‘Re-sampling Condensation’ and ‘multi-stream cyclic hidden Markov models’

Magee, D. R., & Boyle, R. D. (2002) · Image and Vision Computing · doi:10.1016/s0262-8856(02)00047-1 · Cited by 53 · see citing works

Object categorization with SVM: kernels for local features

Eichhorn, J., & Chapelle, O. (2004) · Cited by 51 · see citing works

Techniques for Still Image Scene Classification and Object Detection

Viitaniemi, V., & Laaksonen, J. T. (2006) · Lecture notes in computer science · doi:10.1007/11840930_4 · Cited by 29 · see citing works

Composite Models of Objects and Scenes for Category Recognition

Crandall, D., & Huttenlocher, D. 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.2007.383155 · Cited by 29 · see citing works

Replay Detection Based on Semi-automatic Logo Template Sequence Extraction in Sports Video

Dang, Z., Du, J., Huang, Q., & Jiang, S. (2007) · International Conference on Image and Graphics · doi:10.1109/icig.2007.73 · Cited by 19 · see citing works

Comparative study of metrics for evaluation of object localisation by bounding boxes.

Hemery, B., Laurent, H., & Rosenberger, C. (2007) · International Conference on Image and Graphics · doi:10.1109/icig.2007.118 · Cited by 14 · see citing works

You Only Look Once: Unified, Real-Time Object Detection

Redmon, J., Divvala, S., Girshick, R., & Farhadi, A. (2016) · 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) · doi:10.1109/cvpr.2016.91 · Cited by 53,803 · see citing works

Struck: Structured output tracking with kernels

Hare, S., Saffari, A., & Torr, P. H. S. (2011) · 2011 International Conference on Computer Vision · doi:10.1109/iccv.2011.6126251 · Cited by 1,831 · see citing works

Staple: Complementary Learners for Real-Time Tracking

Bertinetto, L., Valmadre, J., Golodetz, S., Mikšík, O., & Torr, P. H. S. (2016) · 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.2016.156 · Cited by 1,825 · see citing works

The Lovasz-Softmax Loss: A Tractable Surrogate for the Optimization of the Intersection-Over-Union Measure in Neural Networks

Berman, M., Triki, A. R., & Blaschko, M. B. (2018) · 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.2018.00464 · Cited by 1,114 · see citing works

Optimizing Intersection-Over-Union in Deep Neural Networks for Image Segmentation

Rahman, M. A., & Wang, Y. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-50835-1_22 · Cited by 1,015 · see citing works

Struck: Structured Output Tracking with Kernels

Hare, S., Golodetz, S., Saffari, A., Vineet, V., Cheng, M., Hicks, S. L., & Torr, P. H. S. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2509974 · Cited by 994 · see citing works

Fast Edge Detection Using Structured Forests

Dollár, P., & Zitnick, C. L. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2377715 · Cited by 965 · see citing works

Structured Forests for Fast Edge Detection

Dollár, P., & Zitnick, C. L. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.231 · Cited by 899 · see citing works

Efficient Additive Kernels via Explicit Feature Maps

Vedaldi, A., & Zisserman, A. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.153 · Cited by 695 · see citing works

Feature Mining for Localised Crowd Counting

Chen, K., Loy, C. C., Gong, S., & Xiang, T. (2012) · British Machine Vision Conference (BMVC) · doi:10.5244/c.26.21 · Cited by 691 · see citing works

Class segmentation and object localization with superpixel neighborhoods

Fulkerson, B., Vedaldi, A., & Soatto, S. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459175 · Cited by 648 · see citing works

Cascaded pose regression

Dollár, P., Welinder, P., & Perona, P. (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.2010.5540094 · Cited by 527 · see citing works

Deep visual tracking: Review and experimental comparison

Li, P., Wang, D., Wang, L., & Lu, H. (2018) · Pattern Recognition · doi:10.1016/j.patcog.2017.11.007 · Cited by 517 · see citing works

End-to-End Training of Object Class Detectors for Mean Average Precision

Henderson, P., & Ferrari, V. (2017) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-54193-8_13 · Cited by 373 · see citing works

Automatic Analysis of Facial Actions: A Survey

Martínez, B., Valstar, M., Jiang, B., & Pantić, M. (2017) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2017.2731763 · Cited by 354 · see citing works

Efficient Subwindow Search: A Branch and Bound Framework for Object Localization

Lampert, C. H., Blaschko, M. B., & Hofmann, T. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.144 · Cited by 342 · see citing works

DeepTrack: Learning Discriminative Feature Representations Online for Robust Visual Tracking

Li, H., Li, Y., & Porikli, F. (2015) · IEEE Transactions on Image Processing · doi:10.1109/tip.2015.2510583 · Cited by 285 · see citing works

Discriminative models for multi-class object layout

Desai, C., Ramanan, D., & Fowlkes, C. C. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459256 · Cited by 281 · see citing works

Efficient additive kernels via explicit feature maps

Vedaldi, A., & Zisserman, 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.2010.5539949 · Cited by 259 · see citing works

Latent hierarchical structural learning for object detection

Zhu, L., Chen, Y., Yuille, A., & Freeman, W. T. (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.2010.5540096 · Cited by 255 · see citing works

Structured Learning and Prediction in Computer Vision

Nowozin, S. (2010) · now publishers, Inc. eBooks · doi:10.1561/9781601984579 · Cited by 248 · see citing works

Poselet Key-Framing: A Model for Human Activity Recognition

Raptis, M., & Sigal, L. (2013) · 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.2013.342 · Cited by 233 · see citing works

Pose estimation for category specific multiview object localization

Özuysal, M., Lepetit, V., & Fua, P. (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.2009.5206633 · Cited by 233 · see citing works

Object Detection with Grammar Models

Girshick, R., Felzenszwalb, P. F., & McAllester, D. (2011) · Cited by 225 · see citing works

Non-maximum Suppression for Object Detection by Passing Messages Between Windows

Rothe, R., Guillaumin, M., & Van Gool, L. (2015) · Lecture Notes in Computer Science · doi:10.1007/978-3-319-16865-4_19 · Cited by 218 · see citing works

Improving object detection with deep convolutional networks via Bayesian optimization and structured prediction

Zhang, Y., Sohn, K., Villegas, R., Pan, G., & Lee, H. (2015) · 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.2015.7298621 · Cited by 219 · see citing works

Beyond Local Search: Tracking Objects Everywhere with Instance-Specific Proposals

Zhu, G., Porikli, F., & Li, H. (2016) · 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.2016.108 · Cited by 215 · see citing works

Teaching 3D geometry to deformable part models

Pepik, B., Stark, M. M., Gehler, P., & Schiele, B. (2012) · 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.2012.6248075 · Cited by 209 · see citing works

Structured class-labels in random forests for semantic image labelling

Kontschieder, P., Bulò, S. R., Bischof, H., & Pelillo, M. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126496 · Cited by 209 · see citing works

Discriminative Models for Multi-Class Object Layout

Desai, C., Ramanan, D., & Fowlkes, C. C. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-011-0439-x · Cited by 208 · see citing works

Part-Based Visual Tracking with Online Latent Structural Learning

Yao, R., Shi, Q., Shen, C., Zhang, Y., & van den Hengel, A. (2013) · 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.2013.306 · Cited by 200 · see citing works

Structured Learning of Human Interactions in TV Shows

Patron-Perez, A., Marszałek, M., Reid, I. D., & Zisserman, A. (2012) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2012.24 · Cited by 171 · see citing works

Matrix Completion for Weakly-Supervised Multi-Label Image Classification

Cabral, R., la Torre, F. D., Costeira, J. P., & Bernardino, A. J. M. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2014.2343234 · Cited by 173 · see citing works

Discriminative Video Pattern Search for Efficient Action Detection

Yuan, J., Liu, Z., & Wu, Y. N. (2011) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2011.38 · Cited by 171 · see citing works

Optimal Decisions from Probabilistic Models: The Intersection-over-Union Case

Nowozin, S. (2014) · 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.2014.77 · Cited by 163 · see citing works

Learning a category independent object detection cascade

Rahtu, E., Kannala, J., & Blaschko, M. B. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126351 · Cited by 164 · see citing works

Weakly supervised discriminative localization and classification: a joint learning process

Nguyen, M. H., Torresani, L., la Torre, F. D., & Rother, C. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459426 · Cited by 162 · see citing works

Max-Margin Object DetectionPreprint

King, D. E. (2015) · arXiv (Cornell University) · doi:10.48550/arxiv.1502.00046 · Cited by 175 · see citing works

Handling Occlusions with Franken-Classifiers

Mathias, M., Benenson, R., Timofte, R., & Gool, L. V. (2013) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2013.190 · Cited by 148 · see citing works

Loss Max-Pooling for Semantic Image Segmentation

Bulò, S. R., Neuhold, G., & Kontschieder, P. (2017) · 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.2017.749 · Cited by 145 · see citing works

Preserving Structure in Model-Free Tracking

Zhang, L., & van der Maaten, L. (2014) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2013.221 · Cited by 150 · see citing works

A Lightweight YOLOv2: A Binarized CNN with A Parallel Support Vector Regression for an FPGA

Nakahara, H., Yonekawa, H., Fujii, T., & Sato, S. (2018) · Proceedings of the 2018 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays · doi:10.1145/3174243.3174266 · Cited by 139 · see citing works

Multiple Choice Learning: Learning to Produce Multiple Structured Outputs

Guzman-Rivera, A., Batra, D., & Kohli, P. (2012) · Cited by 147 · see citing works

Advances, Challenges, and Opportunities in Automatic Facial Expression Recognition

Martínez, B., & Valstar, M. (2016) · Springer eBooks · doi:10.1007/978-3-319-25958-1_4 · Cited by 136 · see citing works

Efficient online structured output learning for keypoint-based object tracking

Hare, S., Saffari, A., & Torr, P. H. S. (2012) · 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.2012.6247889 · Cited by 130 · see citing works

A coarse-to-fine approach for fast deformable object detection

Pedersoli, M., Vedaldi, A., & Gonzàlez, J. (2011) · 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.2011.5995668 · Cited by 122 · see citing works

A segmentation-aware object detection model with occlusion handling

Gao, T., Packer, B., & Koller, D. (2011) · 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.2011.5995623 · Cited by 119 · see citing works

Survey and Performance Analysis of Deep Learning Based Object Detection in Challenging Environments

Ahmed, M. S., Hashmi, K. A., Pagani, A., Liwicki, M., Stricker, D., & Afzal, M. Z. (2021) · Sensors · doi:10.3390/s21155116 · Cited by 120 · see citing works

Kernel Methods in Computer Vision

Lampert, C. H. (2009) · Foundations and Trends® in Computer Graphics and Vision · doi:10.1561/0600000027 · Cited by 111 · see citing works

Object recognition as ranking holistic figure-ground hypotheses

Li, F., Carreira, J., & Sminchisescu, C. (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.2010.5539839 · Cited by 105 · see citing works

Proposal generation for object detection using cascaded ranking SVMs

Zhang, Z., Warrell, J., & Torr, P. H. S. (2011) · doi:10.1109/cvpr.2011.5995411 · Cited by 99 · see citing works

Object Recognition by Sequential Figure-Ground Ranking

Carreira, J., Li, F., & Sminchisescu, C. (2011) · International Journal of Computer Vision · doi:10.1007/s11263-011-0507-2 · Cited by 99 · see citing works

Strong supervision from weak annotation: Interactive training of deformable part models

Branson, S., Perona, P., & Belongie, S. (2011) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2011.6126450 · Cited by 96 · see citing works

Salient object detection for searched web images via global saliency

Wang, P., Wang, J., Zeng, G., Feng, J. M., Zha, H., & Li, S. (2012) · 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.2012.6248054 · Cited by 94 · see citing works

Multi-view object detection in dual-energy X-ray images

Baştan, M. (2015) · Machine Vision and Applications · doi:10.1007/s00138-015-0706-x · Cited by 90 · see citing works

Latent Pyramidal Regions for Recognizing Scenes

Sadeghi, F., & Tappen, M. F. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33715-4_17 · Cited by 84 · see citing works

Efficient discriminative learning of parts-based models

Kumar, M., Zisserman, A., & Torr, P. H. S. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459192 · Cited by 83 · see citing works

Action unit detection with segment-based SVMs

Simon, T., Nguyen, M. H., la Torre, F. D., & Cohn, J. F. (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.2010.5539998 · Cited by 82 · see citing works

Hierarchical Filtered Motion for Action Recognition in Crowded Videos

Tian, Y., Cao, L., Liu, Z., & Zhang, Z. (2011) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2011.2149519 · Cited by 82 · see citing works

Multi-View and 3D Deformable Part Models

Pepik, B., Stark, M. M., Gehler, P., & Schiele, B. (2015) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2015.2408347 · Cited by 81 · see citing works

Machine learning in remote sensing data processing

Camps‐Valls, G. (2009) · Machine learning for signal processing ... · doi:10.1109/mlsp.2009.5306233 · Cited by 81 · see citing works

Learning a Family of Detectors via Multiplicative Kernels

Yuan, Q., Thangali, A., Ablavsky, V., & Sclaroff, S. (2010) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2010.117 · Cited by 80 · see citing works

3D2PM – 3D Deformable Part Models

Pepik, B., Gehler, P., Stark, M. M., & Schiele, B. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33783-3_26 · Cited by 77 · see citing works

On Parameter Learning in CRF-Based Approaches to Object Class Image Segmentation

Nowozin, S., Gehler, P., & Lampert, C. H. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-15567-3_8 · Cited by 77 · see citing works

A literature survey on robust and efficient eye localization in real-life scenarios

Song, F., Tan, X., Chen, S., & Zhou, Z. (2013) · Pattern Recognition · doi:10.1016/j.patcog.2013.05.009 · Cited by 77 · see citing works

Global connectivity potentials for random field models

Nowozin, S., & Lampert, C. H. (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.2009.5206567 · Cited by 73 · see citing works

Optic Disk Detection in Fundus Image Based on Structured Learning

Fan, Z., Rong, Y., Cai, X., Lu, J., Li, W., Lin, H., & Chen, X. (2017) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2017.2723678 · Cited by 67 · see citing works

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

Hashmi, K. A., Liwicki, M., Stricker, D., Afzal, M. A., Afzal, M. A., & Afzal, M. Z. (2021) · IEEE Access · doi:10.1109/access.2021.3087865 · Cited by 66 · see citing works

Simultaneous Object Detection and Ranking with Weak Supervision

Blaschko, M. B., Vedaldi, A., & Zisserman, A. (2010) · Cited by 63 · see citing works

Fast 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 · see citing works

Structured output regression for detection with partial truncation

Vedaldi, A., & Zisserman, A. (2009) · Cited by 62 · see citing works

Object Recognition in Multi-View Dual Energy X-ray Images

Baştan, M., Byeon, W., & Breuel, T. M. (2013) · British Machine Vision Conference (BMVC) · doi:10.5244/c.27.130 · Cited by 60 · see citing works

A coarse-to-fine approach for fast deformable object detection

Pedersoli, M., Vedaldi, A., Gonzàlez, J., & Roca, F. X. (2014) · Pattern Recognition · doi:10.1016/j.patcog.2014.11.006 · Cited by 60 · see citing works

Max-Margin Structured Output Regression for Spatio-Temporal Action Localization

Tran, D., & Yuan, J. (2012) · DR-NTU (Nanyang Technological University) · Cited by 59 · see citing works

Fast concurrent object localization and recognition

YEH, T. P., Lee, J. J., & Darrell, 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.2009.5206805 · Cited by 59 · see citing works

Weakly Supervised Discriminative Localization and Classification: A Joint Learning Process

Nguyen, M. H., Torresani, L., la Torre, F. D., & Rother, C. (2009) · doi:10.21236/ada507101 · Cited by 59 · see citing works

Discriminative generalized hough transform for object dectection

Okada, R. (2009) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2009.5459441 · Cited by 57 · see citing works

Structured output-associative regression

Bo, L., & Sminchisescu, C. (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.2009.5206699 · Cited by 56 · see citing works

Online tracking and retargeting with applications to optical biopsy in gastrointestinal endoscopic examinations

Ye, M., Giannarou, S., Meining, A. G., & Yang, G. (2015) · Medical Image Analysis · doi:10.1016/j.media.2015.10.003 · Cited by 55 · see citing works

Bridging the Gap Between Detection and Tracking: A Unified Approach

Huang, L., Zhao, X., & Huang, K. (2019) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv.2019.00410 · Cited by 54 · see citing works

Global connectivity potentials for random field models

Nowozin, S., & Lampert, C. H. (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.2009.5206567 · Cited by 53 · see citing works

Robobarista: Object part-based transfer of manipulation trajectories from crowd-sourcing in 3d pointclouds

Sung, J., Jin, S. H., & Saxena, A. (2018) · Springer Proceedings in Advanced Robotics · doi:10.1007/978-3-319-60916-4_40 · Cited by 52 · see citing works

Efficient algorithms for subwindow search in object detection and localization

An, S., Peursum, P., Liu, W., & Venkatesh, S. (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.2009.5206822 · Cited by 52 · see citing works

A Novel Polar Space Random Field Model for the Detection of Glandular Structures

Fu, H., Qiu, G., Shu, J., & Ilyas, M. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2013.2296572 · Cited by 51 · see citing works

Image search by concept map

Xu, H., Wang, J., Hua, X., & Li, S. (2010) · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · doi:10.1145/1835449.1835497 · Cited by 48 · see citing works

Adaptive Sliding-Window Strategy for Vehicle Detection in Highway Environments

Noh, S., Shim, D., & Jeon, M. (2016) · IEEE transactions on intelligent transportation systems (Print) · doi:10.1109/tits.2015.2466652 · Cited by 41 · see citing works

Efficient Large-Scale Structured Learning

Branson, S., Beijbom, O., & Belongie, S. (2013) · 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.2013.236 · Cited by 44 · see citing works

Robust Visual Tracking with Deep Convolutional Neural Network Based Object Proposals on PETS

Zhu, G., Porikli, F., & Li, H. (2016) · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw.2016.160 · Cited by 42 · see citing works

Learning to localize detected objects

Dai, Q., & Hoiem, D. (2012) · 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.2012.6248070 · Cited by 42 · see citing works

Object Localization with Global and Local Context Kernels

Blaschko, M. B., & Lampert, C. H. (2009) · British Machine Vision Conference (BMVC) · doi:10.5244/c.23.63 · Cited by 41 · see citing works

A non-cooperative target grasping position prediction model for tethered space robot

Chen, L., Huang, P., Cai, J., Meng, Z., & Liu, Z. (2016) · Aerospace Science and Technology · doi:10.1016/j.ast.2016.09.009 · Cited by 41 · see citing works

Robust Tracking with Weighted Online Structured Learning

Yao, R., Shi, Q., Shen, C., Zhang, Y., & van den Hengel, A. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-33712-3_12 · Cited by 40 · see citing works

A Review of Kernel Methods in Remote Sensing Data Analysis

Gómez‐Chova, L., Muñoz-Marı́, J., Laparra, V., Malo, J., & Camps‐Valls, G. (2011) · Springer eBooks · doi:10.1007/978-3-642-14212-3_10 · Cited by 40 · see citing works

Attributes Make Sense on Segmented Objects

Li, Z., Gavves, E., Mensink, T., & Snoek, C. G. M. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-10599-4_23 · Cited by 39 · see citing works

Object Localization based on Structural SVM using Privileged Information

Feyereisl, J., Kwak, S., Son, J., & Han, B. (2014) · Cited by 39 · see citing works

The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networksPreprint

Berman, M., Triki, A. R., & Blaschko, M. B. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1705.08790 · Cited by 39 · see citing works

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 · see citing works

Accurate Object Detection with Joint Classification-Regression Random Forests

Schulter, S., Leistner, C., Wohlhart, P., Roth, P. M., & Bischof, H. (2014) · 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.2014.123 · Cited by 38 · see citing works

Multi-scale volumes for deep object detection and localization

Ohn-Bar, E., & Trivedi, M. M. (2016) · Pattern Recognition · doi:10.1016/j.patcog.2016.06.002 · Cited by 38 · see citing works

Advanced Structured Prediction

Nowozin, S. (2014) · The MIT Press eBooks · doi:10.7551/mitpress/9969.001.0001 · Cited by 41 · see citing works

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 · see citing works

Efficient Subwindow Search: A Branch and Bound Framework for Object Localization

Lampert, C. H., Blaschko, M. B., & Hofmann, T. (2009) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2009.144 · Cited by 342 · see citing works

Efficient object detection via structured learning and local classifiers

Zhang, Z. (2013) · Cited by 1 · see citing works

Kernel Methods in Computer Vision: Object Localization, Clustering, and Taxonomy Discovery

Blaschko, M. B. (2009) · DepositOnce · doi:10.14279/depositonce-2166 · Cited by 2 · see citing works

Object Localization based on Structural SVM using Privileged Information

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