The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.
Learning to Localize Objects with Structured Output Regression
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Citations
Cites
Histograms of Oriented Gradients for Human Detection
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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
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 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
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
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
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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
Sampling Strategies for Bag-of-Features Image Classification
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Combined Object Categorization and Segmentation With An Implicit Shape Model
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Flagged first, then by citations
Research works printed but not linked: 1
- Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: The PASCAL Visual Object Classes Challenge 2007 (VOC2007) Results (2007), http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html
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A New Method for Structured Learning with Privileged Information
Sun, S., Zhang, C., & Tian, Y. (2018) · Lecture notes in computer science · doi:10.1007/978-3-319-93701-4_35
Graphical models for inference and learning in computer vision
McAuley, J. (2011) · ANU Open Research (Australian National University) · doi:10.25911/5d611c34235c0
Sublinear Subwindow Search.Preprint
Reuter, M., & Bercea, G.-T. (2019) · arXiv (Cornell University)
Automatic Traffic Management System For Emergency Vehicles
JAMUNA (2019) · i-manager s Journal on Digital Signal Processing · doi:10.26634/jdp.7.1.16445
Image Enhancement Using Surveillance System for Dead Zone
Kandoi, A., Hegade, P., Goel, U., Allu, V. H. R., Dhanalakshmi, S., & Kumar, R. (2019) · International Conference on Communication and Electronics Systems (ICCES) · doi:10.1109/icces45898.2019.9002370
Ammeter Inspection With Densely Connected Object Detection Network
Yan, H., Jiao, Z., Yang, M., Wang, Q., Yang, N., & Ma, L. (2019) · International Conference on Systems and Informatics (ICSAI) · doi:10.1109/icsai48974.2019.9010435
Multi-pass Object Detection Method for Flaw Inspection of Ammeters
Shen, G., Jiao, Z., Yan, H., Wang, Q., Xu, C., & Wen, A. (2019) · International Conference on Systems and Informatics (ICSAI) · doi:10.1109/icsai48974.2019.9010170
Real-time object tracking for event cameras
Zhang, Y. (2019) · doi:10.32657/10356/137297
A Two Fold Approach for Object Recognition with Bag of Visual Words using Artificial Neural Network
Raza, M. A., Hussain, Q., Mustafa, S., Bhatti, M. A., & Ahmad, M. (2020) · IEEE International Multitopic Conference (INMIC) · doi:10.1109/inmic50486.2020.9318197
Computational Framework for Visually Impaired
Chandankhede, P., & Kumar, A. (2021) · Lecture notes in networks and systems · doi:10.1007/978-981-16-1395-1_27
Live Object Detection in Real Time
Mishra, R., Singh, A., Agarwal, H., & Singh, M. (2021) · International Conference on Advances in Computing, Communication Control and Networking (ICAC3N) · doi:10.1109/icac3n53548.2021.9725541
Visual Perception using OpenCV
Arun, J., Prashanth, K., Nivedita, M. B., -, B. N., & Shiva Prasad, K. M. (2022) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-5355
MULTIPLE OBJECT DETECTION IN IMAGES USING YOLO
(2022) · International Journal For Innovative Engineering and Management Research · doi:10.48047/ijiemr/v11/i06/40
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Real-time Multiple object detection Network model based on YOLOV4
Sasikala, V., Asritha, G., Alekhya, P., Pranavi, P. N., & Latha, M. S. (2023) · International Conference on Computing, Communication and Networking Technologies (ICCCNT) · doi:10.1109/icccnt56998.2023.10306994
Bhosale, M. M., & Angal, Y. (2024) · Research Square · doi:10.21203/rs.3.rs-4448610/v1
RetractedHudhayaritthiga, R., Gnanambiga, S. P., Aravindhan, K., & Chidambararaj, N. (2025) · Lecture notes in electrical engineering · doi:10.1007/978-981-96-3694-5_31
An Optimized CNN-Based Approach for Efficient Object Detection Using YOLO
Patil, M. B., Bag, V. V., Aherwadi, N., & Potraj, S. (2025) · Springer proceedings in mathematics & statistics · doi:10.1007/978-3-031-84517-8_34
Blind Assistance System Using YOLOv8
Sinchana, M., U, M. S., H, M. K., Geetha, N., & Prof. Chethan Kumar, T. (2025) · International Journal of Advanced Research in Science Communication and Technology · doi:10.48175/ijarsct-30318
Spatial techniques for video understanding
Sydorov, V. (2021) · theses.fr (ABES) · doi:10.70675/ab9825adz1fb8z4f1cz9217zef67d5530022
Metadata
- Authors
- Blaschko, M. B., & Lampert, C. H.
- Affiliations
- Max Planck Institute for Biological Cybernetics (DE)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2008
- Volume
- 5302
- Pages
- 2-15
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1525954826
- Cited by
- 324
- References
- 26
- Citations by year
- 2025: 7 · 2024: 6 · 2023: 8 · 2022: 7 · 2021: 11 · 2020: 5 · 2019: 16 · 2018: 17 · 2017: 22 · 2016: 27 · 2015: 35 · 2014: 31 · 2013: 27 · 2012: 22
- FWCI
- 22.16
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Lecture notes in computer science (publishedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Lecture notes in computer science
- Funders
- Technische Universität Darmstadt
- Topics
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Neural Network Applications
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Image and Video Retrieval Techniques
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- object localization, bounding box regression, branch and bound, structured training, support vector machine, Pascal VOC
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