Publication

Papers  
Wang, P., Chen, P., Yuan, Y., Liu, D., Huang, Z., Hou, X., Cottrell, G. Understanding Convolution for Semantic Segmentation. arXiv. 1702.08502. 2017 [pdf] [code] [pretrained models]
Wang, P. and Cottrell, G. W. Central and Peripheral Vision for Scene Recognition: A Neurocomputational Modeling Exploration. Journal of Vision, 17(4):9, 1–22. 2017. [pdf]
Wang, P. and Cottrell, G. W. Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition. In Proceedings of the 38th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. 2016. arXiv:1604.07457 [q-bio.NC] [pdf]
Wang, P., Gauthier, I., and Cottrell, G. W. Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration. Journal of Cognitive Neuroscience, 28(4):558-574. 2016. [pdf]
Wang, P. and Cottrell, G. W. Basic Level Categorization Facilitates Visual Object Recognition. 4th International Conference on Learning Representations (ICLR 2016) Workshop, arXiv:1511.04103 [cs.CV]. 2016 [pdf] [Download pretrained models]
Wang, P., Malave, V., and Cipollini, B. Encoding Voxels With Deep Learning. The Journal of Neuroscience, 35(48):15769-15771. 2015. doi:10.1523/JNEUROSCI.3454-15.2015 [pdf]
Wang, P., Cottrell, G. W., and Kanan, C. Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields. In Proceedings of the 37th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. 2015. (Oral Presentation) [pdf]
Wang, P., Gauthier, I., and Cottrell, G. W. Experience Matters: Modeling the Relationship Between Face and Object Recognition. In Proceedings of the 36th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. 2014. (Oral Presentation) [pdf]
Wang, P. and Cottrell, G. W. A Computational Model of the Development of Hemispheric Asymmetry of Face Processing. In Proceedings of the 35th Annual Conference of the Cognitive Science Society. Austin, TX: Cognitive Science Society. 2013. [pdf]
Wang, P. and Zhang, Y. Suspicious Object Recognition Method in Video Stream Based on Visual Attention. arXiv:1308.5063. 2013. [pdf]
Abstracts and Posters  
Wang, P., Cottrell, G. W., and Kanan, C. Modeling the Object Recognition Pathway: A Deep Model. TDLC All Hands Meeting 2015. La Jolla, CA, 2015.
Wang, P. and Cottrell, G. W. The Deep Model. Vision Sciences Society Annual Meeting (VSS 2015). St. Pete Beach, FL, 2015. [pdf]
Wang, P., Cippolini, B., Omigbodun, A., Gauthier, I., and Cottrell, G. W. Modeling the Moderation of Experience in Face and Object Recognition. Vision Sciences Society Annual Meeting (VSS 2014). St. Pete Beach, FL, 2014. [pdf]
Wang, P., Gauthier, I., and Cottrell, G. W. Modeling the Moderation of Experience in Face and Object Recognition. TDLC All Hands Meeting 2014. La Jolla, CA, 2014.
Wang, P. and Cottrell, G. W. A Neurocomputational Model for the Hemispheric Asymmetry Development of Face Processing. 20th Joint Symposium on Neural Computation (JSNC 2013). Pasadena, CA, 2013.
Wang, P. and Cottrell, G. W. Development Model of Face and Object Recognition Using Modular Neural Network. Vision Sciences Society Annual Meeting (VSS 2013). Naples, FL, 2013. [pdf]
Ph. D. Thesis  
Wang, P. Towards The Deep Model : Understanding Visual Recognition Through Computational Models. 2017. [pdf]