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Hao Tan
Hao Tan
Adobe Research
E-mailová adresa ověřena na: adobe.com - Domovská stránka
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Citace
Citace
Rok
Lxmert: Learning cross-modality encoder representations from transformers
H Tan, M Bansal
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
11072019
A joint speaker-listener-reinforcer model for referring expressions
L Yu, H Tan, M Bansal, TL Berg
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
2252017
Learning to navigate unseen environments: Back translation with environmental dropout
H Tan, L Yu, M Bansal
arXiv preprint arXiv:1904.04195, 2019
1682019
Unifying vision-and-language tasks via text generation
J Cho, J Lei, H Tan, M Bansal
International Conference on Machine Learning, 1931-1942, 2021
1052021
How Much Can CLIP Benefit Vision-and-Language Tasks?
S Shen, LH Li, H Tan, M Bansal, A Rohrbach, KW Chang, Z Yao, ...
arXiv preprint arXiv:2107.06383, 2021
822021
Vokenization: Improving language understanding with contextualized, visual-grounded supervision
H Tan, M Bansal
arXiv preprint arXiv:2010.06775, 2020
592020
Enabling robots to understand incomplete natural language instructions using commonsense reasoning
H Chen, H Tan, A Kuntz, M Bansal, R Alterovitz
2020 IEEE International Conference on Robotics and Automation (ICRA), 1963-1969, 2020
302020
Diagnosing the environment bias in vision-and-language navigation
Y Zhang, H Tan, M Bansal
arXiv preprint arXiv:2005.03086, 2020
282020
The curse of performance instability in analysis datasets: Consequences, source, and suggestions
X Zhou, Y Nie, H Tan, M Bansal
arXiv preprint arXiv:2004.13606, 2020
262020
Vimpac: Video pre-training via masked token prediction and contrastive learning
H Tan, J Lei, T Wolf, M Bansal
arXiv preprint arXiv:2106.11250, 2021
222021
Expressing visual relationships via language
H Tan, F Dernoncourt, Z Lin, T Bui, M Bansal
arXiv preprint arXiv:1906.07689, 2019
212019
Modality-balanced models for visual dialogue
H Kim, H Tan, M Bansal
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 8091-8098, 2020
172020
Improving cross-modal alignment in vision language navigation via syntactic information
J Li, H Tan, M Bansal
arXiv preprint arXiv:2104.09580, 2021
132021
An Effective Framework for Weakly-Supervised Phrase Grounding
Q Wang, H Tan, S Shen, M Mahoney, Z Yao
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
12*2020
Object ordering with bidirectional matchings for visual reasoning
H Tan, M Bansal
arXiv preprint arXiv:1804.06870, 2018
122018
ArraMon: A joint navigation-assembly instruction interpretation task in dynamic environments
H Kim, A Zala, G Burri, H Tan, M Bansal
arXiv preprint arXiv:2011.07660, 2020
112020
Source-target inference models for spatial instruction understanding
H Tan, M Bansal
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
102018
EnvEdit: Environment Editing for Vision-and-Language Navigation
J Li, H Tan, M Bansal
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
52022
Vidlankd: Improving language understanding via video-distilled knowledge transfer
Z Tang, J Cho, H Tan, M Bansal
Advances in Neural Information Processing Systems 34, 24468-24481, 2021
52021
CLEAR: Improving Vision-Language Navigation with Cross-Lingual, Environment-Agnostic Representations
J Li, H Tan, M Bansal
arXiv preprint arXiv:2207.02185, 2022
2022
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Články 1–20