Soravit (Beer) Changpinyo
Soravit (Beer) Changpinyo
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Title
Cited by
Cited by
Year
Synthesized classifiers for zero-shot learning
S Changpinyo, WL Chao, B Gong, F Sha
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
4772016
An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
WL Chao, S Changpinyo, B Gong, F Sha
Proceedings of the European Conference on Computer Vision, 52-68, 2016
2542016
Predicting visual exemplars of unseen classes for zero-shot learning
S Changpinyo, WL Chao, F Sha
Proceedings of the IEEE International Conference on Computer Vision, 3496-3505, 2017
982017
The power of sparsity in convolutional neural networks
S Changpinyo, M Sandler, A Zhmoginov
arXiv preprint arXiv:1702.06257, 2017
812017
Multi-Task Learning for Sequence Tagging: An Empirical Study
S Changpinyo, H Hu, F Sha
Proceedings of the 27th International Conference on Computational …, 2018
412018
Similarity component analysis
S Changpinyo, K Liu, F Sha
Advances in Neural Information Processing Systems, 1511-1519, 2013
262013
Classifier and exemplar synthesis for zero-shot learning
S Changpinyo, WL Chao, B Gong, F Sha
International Journal of Computer Vision 128 (1), 166-201, 2020
112020
Learning image attributes using the Indian Buffet Process
S Changpinyo, EB Sudderth
Brown University, 2012
72012
Decoupled box proposal and featurization with ultrafine-grained semantic labels improve image captioning and visual question answering
S Changpinyo, B Pang, P Sharma, R Soricut
arXiv preprint arXiv:1909.02097, 2019
52019
Connecting vision and language with localized narratives
J Pont-Tuset, J Uijlings, S Changpinyo, R Soricut, V Ferrari
European Conference on Computer Vision, 647-664, 2020
32020
The brain uses reliability of stimulus information when making perceptual decisions
S Bitzer, S Kiebel
Advances in Neural Information Processing Systems, 1045-1053, 2015
32015
Weakly Supervised Content Selection for Improved Image Captioning
KR Chandu, P Sharma, S Changpinyo, A Thapliyal, R Soricut
arXiv preprint arXiv:2009.05175, 2020
2020
Weakly Supervised Content Selection for Improved Image Captioning
K Raghavi Chandu, P Sharma, S Changpinyo, A Thapliyal, R Soricut
arXiv e-prints, arXiv: 2009.05175, 2020
2020
A Game-theoretic Approach to Data Interaction
B McCamish, V Ghadakchi, A Termehchy, B Touri, E Cotilla-Sanchez, ...
ACM Transactions on Database Systems (TODS) 45 (1), 1-44, 2020
2020
Convolutional Neural Network Compression
M Sandler, A Zhmoginov, S Changpinyo
US Patent App. 16/346,313, 2019
2019
Modeling, Learning, and Leveraging Similarity
S Changpinyo
University of Southern California, 2018
2018
Generalized Zero-Shot Learning
SB Changpinyo, WLH Chao, B Gong, F Sha
Supplementary Material: Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning
S Changpinyo, WL Chao, F Sha
Supplementary Material: Synthesized Classifiers for Zero-Shot Learning
S Changpinyo, WL Chao, B Gong, F Sha
Supplementary Material: An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild
WL Chao, S Changpinyo, B Gong, F Sha
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Articles 1–20