Detecting people in Cubist art

Detectors trained on natural images can detect parts that characterize person figures in Cubist paintings.

[1]  Paul M. Laporte.  Cubism and Science , 1949 .

[2]  S. Edelman,et al.  Human Brain Mapping 6:316–328(1998) � A Sequence of Object-Processing Stages Revealed by fMRI in the Human Occipital Lobe , 2022 .

[3]  Andrea Salgian,et al.  A cubist approach to object recognition , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[4]  R. Vogels,et al.  Effect of image scrambling on inferior temporal cortical responses. , 1999, Neuroreport.

[5]  Michel Vidal-Naquet,et al.  Visual features of intermediate complexity and their use in classification , 2002, Nature Neuroscience.

[6]  Michael B. Lewis,et al.  Face Detection: Mapping Human Performance , 2003, Perception.

[7]  Bill Triggs,et al.  Histograms of oriented gradients for human detection , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

[8]  Jianguo Zhang,et al.  The PASCAL Visual Object Classes Challenge , 2006 .

[9]  A. Ishai,et al.  Perception, memory and aesthetics of indeterminate art , 2007, Brain Research Bulletin.

[10]  Doris Y. Tsao,et al.  Mechanisms of face perception. , 2008, Annual review of neuroscience.

[11]  Shimon Ullman,et al.  Distinctive and compact features , 2008, Image Vis. Comput..

[12]  Jitendra Malik,et al.  Poselets: Body part detectors trained using 3D human pose annotations , 2009, 2009 IEEE 12th International Conference on Computer Vision.

[13]  Doris Y. Tsao,et al.  A face feature space in the macaque temporal lobe , 2009, Nature Neuroscience.

[14]  Luc Van Gool,et al.  The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.

[15]  David A. McAllester,et al.  Object Detection with Discriminatively Trained Part Based Models , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  A. Torralba,et al.  Detecting faces in impoverished images , 2010 .

[17]  A. Ishai,et al.  Training Facilitates Object Recognition in Cubist Paintings , 2009, Front. Hum. Neurosci..

[18]  Subhransu Maji,et al.  Detecting People Using Mutually Consistent Poselet Activations , 2010, ECCV.

[19]  Alexei A. Efros,et al.  Unsupervised Discovery of Mid-Level Discriminative Patches , 2012, ECCV.

[20]  Alexei A. Efros,et al.  What makes Paris look like Paris? , 2015, Commun. ACM.

[21]  Antonio Torralba,et al.  HOGgles: Visualizing Object Detection Features , 2013, 2013 IEEE International Conference on Computer Vision.

[22]  Trevor Darrell,et al.  Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation , 2013, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[23]  R. Fergus,et al.  OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks , 2013, ICLR.

[24]  Joan Bruna,et al.  Intriguing properties of neural networks , 2013, ICLR.