UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection

Author:

Liu Ye1,Li Siyuan2,Wu Yang2,Chen Chang Wen1,Shan Ying2,Qie Xiaohu3

Affiliation:

1. The Hong Kong Polytechnic University,Department of Computing

2. ARC Lab, Tencent PCG

3. Tencent PCG

Publisher

IEEE

Reference50 articles.

1. Language-Driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model

2. Learning trailer moments in full-length movies;wang;Proceedings of the European Conference on Computer Vision (ECCV),0

3. Detecting highlights in sports videos: Cricket as a test case;tang;Proceedings of the IEEE International Conference on Multimedia and Expo (ICME),0

4. Ranking domain-specific highlights by analyzing edited videos;sun;Proceedings of the European Conference on Computer Vision (ECCV),0

5. Tvsum: Summarizing web videos using titles;song;Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR),0

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1. Coarse-to-Fine Recurrently Aligned Transformer with Balance Tokens for Video Moment Retrieval and Highlight Detection;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

2. Multimodal Video Highlight Detection with Noise-Robust Learning;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. MH-DETR: Video Moment and Highlight Detection with Cross-modal Transformer;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. Improving Video Corpus Moment Retrieval with Partial Relevance Enhancement;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

5. UBiSS: A Unified Framework for Bimodal Semantic Summarization of Videos;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30

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