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Peer-reviewed Conference Proceedings

Soravit Changpinyo, Wei-Lun Chao, and Fei Sha. Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning. In Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2017. [pdf][supp][arXiv][poster][code]

Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, and Fei Sha. An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild. In Proceedings of the European Conference on Computer Vision (ECCV), 2016. (Spotlight presentation) [pdf][supp][arXiv][poster][spotlight slides][code]

Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, and Fei Sha. Synthesized Classifiers for Zero-Shot Learning. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016. (Oral presentation) [pdf][supp][arXiv][poster][slides][code]

Soravit Changpinyo, Kuan Liu, and Fei Sha. Similarity Component Analysis. In Advances in Neural Information Processing Systems (NIPS), 2013. [pdf][supp][poster][code]

Pre-prints

Soravit Changpinyo, Mark Sandler, and Andrey Zhmoginov. The Power of Sparsity in Convolutional Neural Networks. 2017. [arXiv]

Theses

Soravit Changpinyo. Learning Image Attributes using the Indian Buffet Process. Undergraduate Honors Thesis. Brown University, 2012. [pdf]