HOGgles: Visualizing Object Detection Features

Vondrick, Carl, Khosla, Aditya, Malisiewicz, Tomasz, Torralba, Antonio·2013·2013 IEEE International Conference on Computer Vision

Cited by (281)

Items 101–200 of 281

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  24. Learning visual biases from human imagination
    Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio B. Torralba · 2014 · arXiv (Cornell University)
  25. Machine Learning for Dental Image Analysis
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    Michael Felsberg, Kristoffer Öfjäll, Reiner Lenz · 2015 · Frontiers in Robotics and AI
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    Joanna Czajkowska, Bartłomiej Pyciński, Ewa Piętka · 2015 · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
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    Yang Siqi, Arnold Wiliem, Brian C. Lovell · 2016 · International Conference on Image and Vision Computing New Zealand (IVCNZ)
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    Hong Liu, Yuan Gao, Pinging Wu · 2014 · Proceedings - International Conference on Image Processing
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    Matthew P. Hyett, Gordon Barraclough Parker, Abhinav Dhall · 2016 · Springer eBooks
  49. Detection and Content Retrieval of Object in an Image using YOLO
    Brajesh Kumar, S. Abirami, R J Bharathi Lakshmi, R Lohitha, R B Udhaya · 2019 · IOP Conference Series Materials Science and Engineering
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  51. Explaining Deep Face Algorithms Through Visualization: A Survey
    Thrupthi Ann John, Vineeth Nallure Balasubramanian, C. V. Jawahar · 2023 · IEEE Transactions on Biometrics Behavior and Identity Science
  52. Cloud-assisted analysis for energy efficiency in intelligent video systems
    Jie Dai, Yu Zhao, Yunhuai Liu, Qi Li, Chuanping Hu · 2014 · The Journal of Supercomputing
  53. Stochastic Image Reconstruction from Local Histograms of Gradient Orientation
    Agnès Desolneux, Arthur Leclaire · 2017 · Lecture notes in computer science
  54. Analysis of reduced‐set construction using image reconstruction from a HOG feature vector
    Ho Gi Jung · 2017 · IET Computer Vision
  55. Decoding the Deep: Exploring Class Hierarchies of Deep Representations Using Multiresolution Matrix Factorization
    Vamsi Krishna Ithapu · 2017 · IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  56. Object Detection Based on DenseNet and RPN
    Jing Li, Wenjie Chen, Yangyang Sun, Ye Li, Zhihong Peng · 2019 · Chinese Control Conference (CCC)
  57. The Incremental Multiresolution Matrix Factorization Algorithm
    Vamsi Krishna Ithapu, Risi Kondor, Sterling C. Johnson, Vikas Singh · 2017 · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
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    Jichao Jiao, Xin Wang, Zhongliang Deng · 2017 · Sensors
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  62. Visual Language Modeling on CNN Image Representations
    Hiroharu Kato, Tatsuya Harada · 2015 · arXiv (Cornell University)
  63. Acquiring Visual Classifiers from Human Imagination
    Carl Vondrick, Hamed Pirsiavash, Aude Oliva, Antonio B. Torralba · 2014 · Defense Technical Information Center (DTIC)
  64. Towards Interpretable Face Recognition
    Bangjie Yin, Luan Tran, Haoxiang Li, Xiaohui Shen, Xiaoming Liu · 2018 · arXiv (Cornell University)
  65. Detecting People in Cubist Art
    Shiry Ginosar, Daniel Haas, Brown, Timothy, Jitendra Malik · 2014 · arXiv (Cornell University)
  66. Learning Compositional Sparse Models of Bimodal Percepts
    Suren Kumar, Vikas Dhiman, Jason J. Corso · 2014 · Proceedings of the AAAI Conference on Artificial Intelligence
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    Jonghun Cha, Jee-Hyong Lee · 2018 · Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
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    Siddhartha Chandra, Grigorios G. Chrysos, Iasonas Kokkinos · 2015 · British Machine Vision Conference (BMVC)
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    Ramesh Chandra Sahoo, Sateesh Kumar Pradhan · 2020 · Algorithms for intelligent systems
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  83. Unveiling contrast in darkness
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