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Mingwei Shen
Mingwei Shen
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Year
A first look: Towards explainable textvqa models via visual and textual explanations
VN Rao, X Zhen, K Hovsepian, M Shen
arXiv preprint arXiv:2105.02626, 2021
152021
Amazon PARS at Memotion 2.0 2022: Multi-modal Multi-task Learning for Memotion 2.0 Challenge
GG Lee, M Shen
De-Factify @ AAAI 2022. First Workshop on ​Multimodal Fact-Checking and Hate …, 2022
62022
Unsupervised class-specific abstractive summarization of customer reviews
TNA Nguyen, M Shen, K Hovsepian
Proceedings of The 4th Workshop on e-Commerce and NLP, 88-100, 2021
62021
Determination of root causes of customer returns
K Hovsepian, M Shen, S Appalaraju, A Shanley, V Patha
US Patent 11,526,665, 2022
12022
Multi-modal, multi-task learning for Memotion 2.0 challenge
GG Lee, M Shen
12022
A First Look: Towards Explainable TextVQA Models via Visual and Textual Explanations
V Nagaraj Rao, X Zhen, K Hovsepian, M Shen
arXiv e-prints, arXiv: 2105.02626, 2021
12021
Semantic matching for text classification with complex class descriptions
B De Silva, KW Huang, G Lee, K Hovsepian, Y Xu, M Shen
Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023
2023
Leveraging Efficient Training and Feature Fusion in Transformers for Multimodal Classification
KE Ak, GG Lee, Y Xu, M Shen
2023 IEEE International Conference on Image Processing (ICIP), 1420-1424, 2023
2023
NICE 2023 Zero-shot Image Captioning Challenge
T Kim, P Ahn, S Kim, S Lee, M Marsden, A Sala, SH Kim, H Lee, K Bae, ...
arXiv preprint arXiv:2309.01961, 2023
2023
NICE: CVPR 2023 challenge on zero-shot image captioning
T Kim, P Ahn, S Kim, S Lee, M Marsden, A Sala, SH Kim, B Han, KM Lee, ...
2023
Are large language models good annotators?
J Mohta, KE Ak, Y Xu, M Shen
2023
Misspelling Detection from Noisy Product Images
VN Rao, M Shen
Proceedings of the 28th International Conference on Computational …, 2020
2020
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