Jialin Wu
Ph.D. Alumni
Homepage:
http://www.cs.utexas.edu/~jialinwu/
Publications
Entity-Focused Dense Passage Retrieval for Outside-Knowledge Visual Question Answering 2022
Jialin Wu, Raymond Mooney, In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), December 2022.
Incorporating External Information for Visual Question Answering 2022
Jialin Wu, PhD Thesis, Department of Computer Science, UT Austin.
Multi-Modal Answer Validation for Knowledge-Based VQA 2022
Jialin Wu, Jiasen Lu, Ashish Sabharwal, Roozbeh Mottaghi, Proceedings of the AAAI Conference on Artificial Intelligence (2022).
Improving VQA and its Explanations by Comparing Competing Explanations 2021
Jialin Wu, Liyan Chen, Raymond J. Mooney, In The AAAI Conference on Artificial Intelligence (AAAI), Explainable Agency in Artificial Intelligence Workshop, Vol. arXiv:2006.15631, February 2021.
Incorporating Textual Resources to Improve Visual Question Answering 2021
Jialin Wu, Ph.D. Proposal.
Faithful Multimodal Explanation for Visual Question Answering 2019
Jialin Wu and Raymond J. Mooney, In Proceedings of the Second BlackboxNLP Workshop at ACL, pp. 103-112, Florence, Italy, August 2019.
Generating Question Relevant Captions to Aid Visual Question Answering 2019
Jialin Wu, Zeyuan Hu, Raymond J. Mooney, In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, August 2019.
Hidden State Guidance: Improving Image Captioning using An Image Conditioned Autoencoder 2019
Jialin Wu and Raymond J. Mooney, In Proceedings of the Visually Grounded Interaction and Language Workshop at NeurIPS 2019, December 2019.
Self-Critical Reasoning for Robust Visual Question Answering 2019
Jialin Wu and Raymond J. Mooney, In Proceedings of Neural Information Processing Systems (NeurIPS) , December 2019.
Joint Image Captioning and Question Answering 2018
Jialin Wu, Zeyuan Hu and Raymond J. Mooney , In VQA Challenge and Visual Dialog Workshop at the 31st IEEE Conference on Computer Vision and Pattern Recognition (CVPR-18) , June 2018.
Areas of Interest
Deep Learning Language and Vision
Labs
Formerly affiliated with Machine Learning