Ning Xu
Orcid: 0000-0002-7526-4356Affiliations:
- Tianjin University, Tianjin, China
According to our database1,
Ning Xu
authored at least 48 papers
between 2015 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Multi-Modal Validation and Domain Interaction Learning for Knowledge-Based Visual Question Answering.
IEEE Trans. Knowl. Data Eng., November, 2024
Pattern Recognit. Lett., January, 2024
Learning to Supervise Knowledge Retrieval Over a Tree Structure for Visual Question Answering.
IEEE Trans. Multim., 2024
IEEE Trans. Multim., 2024
Counterfactual Visual Dialog: Robust Commonsense Knowledge Learning From Unbiased Training.
IEEE Trans. Multim., 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024
2023
Multim. Syst., December, 2023
Multim. Syst., April, 2023
J. Vis. Commun. Image Represent., February, 2023
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
Towards Confidence-Aware Commonsense Knowledge Integration for Scene Graph Generation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023
2022
Vis. Informatics, 2022
IEEE Trans. Neural Networks Learn. Syst., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
IEEE Trans. Circuits Syst. Video Technol., 2022
Multim. Syst., 2022
2021
Vis. Informatics, 2021
IEEE Trans. Multim., 2021
IEEE Trans. Circuits Syst. Video Technol., 2021
Pattern Recognit. Lett., 2021
Coupled-dynamic learning for vision and language: Exploring Interaction between different tasks.
Pattern Recognit., 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Triangle-Reward Reinforcement Learning: A Visual-Linguistic Semantic Alignment for Image Captioning.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Self-Attention Graph Residual Convolutional Networks for Event Detection with dependency relations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
Multi-Level Policy and Reward-Based Deep Reinforcement Learning Framework for Image Captioning.
IEEE Trans. Multim., 2020
Corrigendum to "3D model classification based on few-shot learning" [Neurocomputing 398 (2020) 539-546/21103].
Neurocomputing, 2020
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020
2019
IEEE Trans. Image Process., 2019
IEEE Trans. Circuits Syst. Video Technol., 2019
J. Vis. Commun. Image Represent., 2019
基于篇章结构的英文作文自动评分方法 (English Automated Essay Scoring Methods Based on Discourse Structure).
计算机科学, 2019
2018
Attention-in-Attention Networks for Surveillance Video Understanding in Internet of Things.
IEEE Internet Things J., 2018
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018
2017
Benchmarking a Multimodal and Multiview and Interactive Dataset for Human Action Recognition.
IEEE Trans. Cybern., 2017
Hierarchical & multimodal video captioning: Discovering and transferring multimodal knowledge for vision to language.
Comput. Vis. Image Underst., 2017
Tianjin University and National University of Singapore at TRECVID 2017: Video to Text Description.
Proceedings of the 2017 TREC Video Retrieval Evaluation, 2017
2015
Neurocomputing, 2015
Proceedings of the 2015 TREC Video Retrieval Evaluation, 2015
Multi-modal & Multi-view & Interactive Benchmark Dataset for Human Action Recognition.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015