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# ICASSP-2024-Papers | ||
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<table> | ||
<tr> | ||
<td><strong>Application</strong></td> | ||
<td> | ||
<a href="https://huggingface.co/spaces/DmitryRyumin/NewEraAI-Papers" style="float:left;"> | ||
<img src="https://img.shields.io/badge/🤗-NewEraAI--Papers-FFD21F.svg" alt="App" /> | ||
</a> | ||
</td> | ||
</tr> | ||
<tr> | ||
<td><strong>Previous Collections</strong></td> | ||
<td> | ||
<a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/README_2023.md"> | ||
<img src="http://img.shields.io/badge/ICASSP-2023-0073AE.svg" alt="Conference"> | ||
</a> | ||
</td> | ||
</tr> | ||
</table> | ||
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<div align="center"> | ||
<a href="https://github.com/DmitryRyumin/ICASSP-2023-24/blob/main/sections/2024/main/MMSP.md"> | ||
<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/left.svg" width="40" alt="" /> | ||
</a> | ||
<a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/"> | ||
<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/home.svg" width="40" alt="" /> | ||
</a> | ||
<a href="https://github.com/DmitryRyumin/ICASSP-2023-24-Papers/blob/main/sections/2024/main/AASP.md"> | ||
<img src="https://cdn.jsdelivr.net/gh/DmitryRyumin/NewEraAI-Papers@main/images/right.svg" width="40" alt="" /> | ||
</a> | ||
</div> | ||
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## Vision and Language | ||
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![Section Papers](https://img.shields.io/badge/Section%20Papers-soon-42BA16) ![Preprint Papers](https://img.shields.io/badge/Preprint%20Papers-soon-b31b1b) ![Papers with Open Code](https://img.shields.io/badge/Papers%20with%20Open%20Code-soon-1D7FBF) ![Papers with Video](https://img.shields.io/badge/Papers%20with%20Video-soon-FF0000) | ||
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| **Title** | **Repo** | **Paper** | **Video** | | ||
|-----------|:--------:|:---------:|:---------:| | ||
| JM-CLIP: A Joint Modal Similarity Contrastive Learning Model for Video-Text Retrieval | [![GitHub](https://img.shields.io/github/stars/DannielGe/JM-CLIP?style=flat)](https://github.com/DannielGe/JM-CLIP) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446490-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446490) | :heavy_minus_sign: | | ||
| Language-Free Compositional Action Generation via Decoupling Refinement | [![GitHub](https://img.shields.io/github/stars/XLiu443/Language-free-Compositional-Action-Generation-via-Decoupling-Refinement?style=flat)](https://github.com/XLiu443/Language-free-Compositional-Action-Generation-via-Decoupling-Refinement) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448207-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448207) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2307.03538-b31b1b.svg)](https://arxiv.org/abs/2307.03538) | :heavy_minus_sign: | | ||
| DAP: Domain-Aware Prompt Learning for Vision-and-Language Navigation | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446504-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446504) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2311.17812-b31b1b.svg)](https://arxiv.org/abs/2311.17812) | :heavy_minus_sign: | | ||
| M3sum: A Novel Unsupervised Language-Guided Video Summarization | [![GitHub](https://img.shields.io/github/stars/ZovanZhou/M3Sum?style=flat)](https://github.com/ZovanZhou/M3Sum) | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10447504-E4A42C.svg)](https://ieeexplore.ieee.org/document/10447504) | :heavy_minus_sign: | | ||
| WAVER: Writing-Style Agnostic Text-Video Retrieval via Distilling Vision-Language Models through Open-Vocabulary Knowledge | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10446193-E4A42C.svg)](https://ieeexplore.ieee.org/document/10446193) <br /> [![arXiv](https://img.shields.io/badge/arXiv-2312.09507-b31b1b.svg)](https://arxiv.org/abs/2312.09507) | :heavy_minus_sign: | | ||
| MTIDNet: A Multimodal Temporal Interest Detection Network for Video Summarization | :heavy_minus_sign: | [![IEEE Xplore](https://img.shields.io/badge/IEEE-10448236-E4A42C.svg)](https://ieeexplore.ieee.org/document/10448236) | :heavy_minus_sign: | |
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