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
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5327-5336, 2016
5992016
An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
WL Chao, S Changpinyo, B Gong, F Sha
European Conference on Computer Vision (ECCV), 52-68, 2016
3482016
Predicting visual exemplars of unseen classes for zero-shot learning
S Changpinyo, WL Chao, F Sha
IEEE International Conference on Computer Vision (ICCV), 3496-3505, 2017
1212017
The power of sparsity in convolutional neural networks
S Changpinyo, M Sandler, A Zhmoginov
arXiv preprint arXiv:1702.06257, 2017
942017
Multi-Task Learning for Sequence Tagging: An Empirical Study
S Changpinyo, H Hu, F Sha
27th International Conference on Computational Linguistics (COLING), 2965–2977, 2018
482018
Similarity component analysis
S Changpinyo, K Liu, F Sha
Advances in Neural Information Processing Systems (NIPS), 1511-1519, 2013
312013
Connecting vision and language with localized narratives
J Pont-Tuset, J Uijlings, S Changpinyo, R Soricut, V Ferrari
European Conference on Computer Vision (ECCV), 647-664, 2020
182020
Classifier and exemplar synthesis for zero-shot learning
S Changpinyo, WL Chao, B Gong, F Sha
International Journal of Computer Vision (IJCV) 128 (1), 166-201, 2020
162020
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
Conference on Empirical Methods in Natural Language Processing and 9th …, 2019
82019
Learning image attributes using the Indian Buffet Process
S Changpinyo, EB Sudderth
Brown University, 2012
72012
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
S Changpinyo, P Sharma, N Ding, R Soricut
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021
32021
Denoising Large-Scale Image Captioning from Alt-text Data using Content Selection Models
KR Chandu, P Sharma, S Changpinyo, A Thapliyal, R Soricut
arXiv preprint arXiv:2009.05175, 2020
1*2020
2.5 D Visual Relationship Detection
YC Su, S Changpinyo, X Chen, S Thoppay, CJ Hsieh, L Shapira, ...
arXiv preprint arXiv:2104.12727, 2021
2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection
C Zhang, TY Pan, Y Li, H Hu, D Xuan, S Changpinyo, B Gong, WL Chao
arXiv preprint arXiv:2102.08884, 2021
2021
Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval
S Changpinyo, J Pont-Tuset, V Ferrari, R Soricut
arXiv preprint arXiv:2102.04980, 2021
2021
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
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Articles 1–18