Segui
Soravit "Beer" Changpinyo
Soravit "Beer" Changpinyo
Altri nomiSoravit Changpinyo, Beer Changpinyo
Email verificata su google.com - Home page
Titolo
Citata da
Citata da
Anno
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
8392016
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
5442016
Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts
S Changpinyo, P Sharma, N Ding, R Soricut
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
3242021
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
1852017
The power of sparsity in convolutional neural networks
S Changpinyo, M Sandler, A Zhmoginov
arXiv preprint arXiv:1702.06257, 2017
1442017
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
1282020
PaLI: A Jointly-Scaled Multilingual Language-Image Model
X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ...
International Conference on Learning Representations (ICLR), 2023
992023
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
722018
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
412020
Similarity component analysis
S Changpinyo, K Liu, F Sha
Advances in Neural Information Processing Systems (NIPS), 1511-1519, 2013
292013
On Model Calibration for Long-Tailed Object Detection and Instance Segmentation
TY Pan, C Zhang, Y Li, H Hu, D Xuan, S Changpinyo, B Gong, WL Chao
Advances in Neural Information Processing Systems (NeurIPS), 2021
262021
All You May Need for VQA are Image Captions
S Changpinyo, D Kukliansky, I Szpektor, X Chen, N Ding, R Soricut
Conference of the North American Chapter of the Association for…, 2022
222022
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
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
222021
Robust Visual Reasoning via Language Guided Neural Module Networks
AR Akula, V Jampani, S Changpinyo, SC Zhu
Advances in Neural Information Processing Systems (NeurIPS), 2021
192021
CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization
A Akula, S Changpinyo, B Gong, P Sharma, S Zhu, R Soricut
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2148…, 2021
172021
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
142019
Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval
S Changpinyo, J Pont-Tuset, V Ferrari, R Soricut
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
132021
Learning image attributes using the Indian Buffet Process
S Changpinyo, EB Sudderth
Brown University, 2012
82012
PreSTU: Pre-Training for Scene-Text Understanding
J Kil, S Changpinyo, X Chen, H Hu, S Goodman, WL Chao, R Soricut
arXiv preprint arXiv:2209.05534, 2022
52022
Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?
Y Chen, H Hu, Y Luan, H Sun, S Changpinyo, A Ritter, MW Chang
arXiv preprint arXiv:2302.11713, 2023
32023
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
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