Ting Yu
Orcid: 0000-0001-6918-3157Affiliations:
- Hangzhou Normal University, China
According to our database1,
Ting Yu authored at least 16 papers
between 2019 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2026
CloudCap3D: enhancing 3D in-scene descriptions via point cloud integration and efficient text filtering.
Multim. Syst., August, 2026
SwiftCraft3D: semantic-enhanced multi-view prompting for efficient and high-fidelity text-to-3D generation.
Vis. Comput., January, 2026
2025
Semi-Supervised RGB-D Hand Gesture Recognition via Mutual Learning of Self-Supervised Models.
ACM Trans. Multim. Comput. Commun. Appl., April, 2025
WP-CMA: Waypoint Prediction for Cross-modal Alignment of Vision-and-Language Navigation in Continuous Environments.
Proceedings of the 7th ACM International Conference on Multimedia in Asia, 2025
Fine-grained Adaptive Visual Prompt for Generative Medical Visual Question Answering.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025
2024
Multim. Syst., December, 2024
IEEE Trans. Medical Imaging, November, 2024
A Comprehensive Survey of 3D Dense Captioning: Localizing and Describing Objects in 3D Scenes.
IEEE Trans. Circuits Syst. Video Technol., March, 2024
Multi-Granularity Contrastive Cross-Modal Collaborative Generation for End-to-End Long-Term Video Question Answering.
IEEE Trans. Image Process., 2024
Prompting Video-Language Foundation Models with Domain-specific Fine-grained Heuristics for Video Question Answering.
CoRR, 2024
2021
Long-Term Video Question Answering via Multimodal Hierarchical Memory Attentive Networks.
IEEE Trans. Circuits Syst. Video Technol., 2021
2020
Compositional Attention Networks With Two-Stream Fusion for Video Question Answering.
IEEE Trans. Image Process., 2020
Int. J. Comput. Vis., 2020
IEEE Access, 2020
2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
ActivityNet-QA: A Dataset for Understanding Complex Web Videos via Question Answering.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019