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@@ -174,6 +174,32 @@ <h2>Preprint</h2>
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<div class="trend-entry d-flex">
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<div class="trend-contents">
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<ul>
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<li>S. Xing, H. Hua, X. Gao, S. Zhu, R. Li, K. Tian, X. Li, H. Huang, T. Yang, Z. Wang, Y. Zhou, H. Yao, Z. Tu
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<br> <b style="color:rgb(71, 71, 71)">"AutoTrust: Benchmarking Trustworthiness in Large Vision Language Models for Autonomous Driving"</b>
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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2412.15206">[Paper]</a> <a href="https://taco-group.github.io/AutoTrust/">[Project]</a></li>
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<li>X. Xing, C. Qian, Y. Wang, H. Hua, K. Tian, Y. Zhou, Z. Tu
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<br> <b style="color:rgb(71, 71, 71)">"OpenEMMA: Open-Source Multimodal Model for End-to-End Autonomous Driving"</b>
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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2412.15208">[Paper]</a> <a href="https://github.com/taco-group/OpenEMMA">[Code]</a></li>
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<li>L. Li, J. Li, ..., Z. Tu, ..., Y. Zhao, Y. Dong
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<br> <b style="color:rgb(71, 71, 71)">"Political-llm: Large language models in political science"</b>
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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2412.06864">[Paper]</a> <a href="http://political-llm.org/">[Project]</a></li>
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<li>Z. Wang, J. Guo, J. Zhu, Y. Li, H. Huang, M. Chen, Z. Tu
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<br> <b style="color:rgb(71, 71, 71)">"SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models"</b>
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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2412.04852">[Paper]</a> <a href="https://github.com/taco-group/SleeperMark">[Code]</a></li>
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<li>Q. Zheng, Y. Fan, L. Huang, T. Zhu, J. Liu, Z. Hao, X. Shuo, C.J. Chen, X. Min, A. Bovik, Z. Tu
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<br> <b style="color:rgb(71, 71, 71)">"Video Quality Assessment: A Comprehensive Survey"</b>
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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2412.04508">[Paper]</a> <a href="https://github.com/taco-group/Video-Quality-Assessment-A-Comprehensive-Survey">[Code]</a></li>
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<li>H. Wang, Y. Zhang, R. Bai, Y. Zhao, S. Liu, Z. Tu
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<br> <b style="color:rgb(71, 71, 71)">"Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing"</b>
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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2411.16832">[Paper]</a> <a href="https://github.com/taco-group/FaceLock">[Code]</a></li>
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<li>S. Li, H. Gong, H. Dong, T. Yang, Z. Tu, Y. Zhao
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<br> <b style="color:rgb(71, 71, 71)">"DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection"</b>
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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2411.08227">[Paper]</a> <a href="https://github.com/lili0415/DPU-OOD-Detection">[Code]</a></li>
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<br> <b style="color:rgb(71, 71, 71)">"CoMamba: Real-time Cooperative Perception Unlocked with State Space Models"</b>
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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2409.10699">[Paper]</a> <a href="https://github.com/taco-group/CoMamba">[Code]</a></li>
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<li>K. Mei, Z. Tu, M. Delbracio, H. Talebi, V.M. Patel, P. Milanfar
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<br> <b style="color:rgb(71, 71, 71)">"Bigger is not Always Better: Scaling Properties of Latent Diffusion Models"</b>
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<br>Arxiv 2024. <a href="https://arxiv.org/abs/2404.01367">[Paper]</a> </li>
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<!-- <li>K. Mei, Z. Tu, M. Delbracio, H. Talebi, V.M. Patel, P. Milanfar-->
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<!-- <br> <b style="color:rgb(71, 71, 71)">"Bigger is not Always Better: Scaling Properties of Latent Diffusion Models"</b>-->
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<!-- <br>Arxiv 2024. <a href="https://arxiv.org/abs/2404.01367">[Paper]</a> </li>-->
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<li>B Li, J Li, X Liu, R Xu, Z Tu, J Guo, X Li, H Yu
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<br> <b style="color:rgb(71, 71, 71)">"V2X-DGW: Domain Generalization for Multi-agent Perception under Adverse Weather Conditions"</b>
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<br>IEEE Transactions on Image Processing, 2024. <a href="">[Paper]</a> <a href="">[Code]</a></li>
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<li>K. Mei, Z. Tu, M. Delbracio, H. Talebi, V. M. Patel, P. Milanfar
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<br> <b style="color:rgb(71, 71, 71)">"Bigger is not Always Better: Scaling Properties of Latent Diffusion Models"</b>
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<br>Transactions on Machine Learning Research, 2024. <a href="https://arxiv.org/abs/2404.01367">[Paper]</a></li>
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<br>Transactions on Machine Learning Research, 2024. <a href="https://arxiv.org/abs/2404.01367">[Paper]</a> <a href="https://openreview.net/forum?id=0u7pWfjri5">[Openreview]</a></li>
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<li>R. Xu, C.J. Chen, Z. Tu, M.H. Yang
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<br> <b style="color:rgb(71, 71, 71)">"V2X-ViTv2: Improved Vision Transformers for Vehicle-to-Everything Cooperative Perception"</b>
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<br>IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024. <a href="https://ieeexplore.ieee.org/abstract/document/10715696">[Paper]</a> <a href="https://github.com/DerrickXuNu/OpenCOOD">[Code]</a></li>
@@ -253,6 +279,15 @@ <h3>
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<div class="trend-entry d-flex">
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<div class="trend-contents">
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<ul>
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<li>C.-J. Chen, R. Xu, W. Shao, J. Zhang, Z. Tu
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<br> <b style="color:rgb(71, 71, 71)">"OpenCDA-&infin;: A Closed-loop Benchmarking Platform for End-to-end Evaluation of Cooperative Perception"</b>
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<br>NeurIPS Dataset and Benchmark Track (NeurIPS), 2024.
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<a href="https://openreview.net/forum?id=ioAPiwNBE9#discussion">[Paper]</a>
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<a href="https://github.com/taco-group/opencda-loop">[Code]</a>
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</li>
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<li>C. Qi, Z. Tu, K. Ye, M. Delbracio, P. Milanfar, Q. Chen, H. Talebi
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<br> <b style="color:rgb(71, 71, 71)">"SPIRE: Semantic Prompt-Driven Image Restoration "</b>
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<br>European Conference on Computer Vision (ECCV), 2024.

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