Soravit Changpinyo

According to our database, Soravit Changpinyo authored at least 33 papers between 2013 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

PaLI-X: On Scaling up a Multilingual Vision and Language Model.

Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

CoRR, 2023

What You See is What You Read? Improving Text-Image Alignment Evaluation.

Michal Yarom, Yonatan Bitton, Soravit Changpinyo, Roee Aharoni, Jonathan Herzig, Oran Lang, Eran Ofek, Idan Szpektor

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PaLI: A Jointly-Scaled Multilingual Language-Image Model.

Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

PreSTU: Pre-Training for Scene-Text Understanding.

Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions?

Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MaXM: Towards Multilingual Visual Question Answering.

Soravit Changpinyo, Linting Xue, Michal Yarom, Ashish V. Thapliyal, Idan Szpektor, Julien Amelot, Xi Chen, Radu Soricut

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Connecting Vision and Language with Video Localized Narratives.

Paul Voigtlaender, Soravit Changpinyo, Jordi Pont-Tuset, Radu Soricut, Vittorio Ferrari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

MetaCLUE: Towards Comprehensive Visual Metaphors Research.

Arjun R. Akula, Brendan Driscoll, Pradyumna Narayana, Soravit Changpinyo, Zhiwei Jia, Suyash Damle, Garima Pruthi, Sugato Basu, Leonidas J. Guibas, William T. Freeman, Yuanzhen Li, Varun Jampani

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

2.5D visual relationship detection.

Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong

Comput. Vis. Image Underst., 2022

PaLI: A Jointly-Scaled Multilingual Language-Image Model.

Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

CoRR, 2022

Towards Multi-Lingual Visual Question Answering.

Soravit Changpinyo, Linting Xue, Idan Szpektor, Ashish V. Thapliyal, Julien Amelot, Xi Chen, Radu Soricut

CoRR, 2022

All You May Need for VQA are Image Captions.

Soravit Changpinyo, Doron Kukliansky, Idan Szpektor, Xi Chen, Nan Ding, Radu Soricut

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks.

Nan Ding, Xi Chen, Tomer Levinboim, Soravit Changpinyo, Radu Soricut

Proceedings of the Computer Vision - ECCV 2022, 2022

Denoising Large-Scale Image Captioning from Alt-text Data Using Content Selection Models.

Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.

Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao

CoRR, 2021

Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval.

Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut

CoRR, 2021

On Model Calibration for Long-Tailed Object Detection and Instance Segmentation.

Tai-Yu Pan, Cheng Zhang, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Visual Reasoning via Language Guided Neural Module Networks.

Arjun R. Akula, Varun Jampani, Soravit Changpinyo, Song-Chun Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection.

Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval.

Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization.

Arjun R. Akula, Soravit Changpinyo, Boqing Gong, Piyush Sharma, Song-Chun Zhu, Radu Soricut

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts.

Soravit Changpinyo, Piyush Sharma, Nan Ding, Radu Soricut

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

A Game-theoretic Approach to Data Interaction.

Ben McCamish, Vahid Ghadakchi, Arash Termehchy, Behrouz Touri, Eduardo Cotilla Sanchez, Liang Huang, Soravit Changpinyo

ACM Trans. Database Syst., 2020

Classifier and Exemplar Synthesis for Zero-Shot Learning.

Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha

Int. J. Comput. Vis., 2020

Weakly Supervised Content Selection for Improved Image Captioning.

Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut

CoRR, 2020

Connecting Vision and Language with Localized Narratives.

Jordi Pont-Tuset, Jasper R. R. Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering.

Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Multi-Task Learning for Sequence Tagging: An Empirical Study.

Soravit Changpinyo, Hexiang Hu, Fei Sha

Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017

The Power of Sparsity in Convolutional Neural Networks.

Soravit Changpinyo, Mark Sandler, Andrey Zhmoginov

CoRR, 2017

Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning.

Soravit Changpinyo, Wei-Lun Chao, Fei Sha

Proceedings of the IEEE International Conference on Computer Vision, 2017

2016

An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild.

Wei-Lun Chao, Soravit Changpinyo, Boqing Gong, Fei Sha

Proceedings of the Computer Vision - ECCV 2016, 2016

Synthesized Classifiers for Zero-Shot Learning.

Soravit Changpinyo, Wei-Lun Chao, Boqing Gong, Fei Sha

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2013

Similarity Component Analysis.

Soravit Changpinyo, Kuan Liu, Fei Sha

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013