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De Wen

As seen in: arXiv
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Articles by De Wen

Computer Science > Artificial Intelligence

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By Pai Chet, De Wen
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Computer Science > Artificial Intelligence

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By Pai Chet, De Wen
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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Computer Science > Computer Vision and Pattern Recognition

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By De Wen
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (493) Issue with article?

Computer Science > Computer Vision and Pattern Recognition

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By De Wen
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (279) Issue with article?

[2601.07232] Yes FLoReNce, I Will Do Better Next Time! Agentic Feedback Reasoning for Humorous Meme Detection

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By Pai Chet, De Wen, Olivia Shanhong
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
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OnlineSplatter: Pose-Free Online 3D Reconstruction for Free-Moving Objects

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By Mark HE, Lin Geng, De Wen
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (584) Issue with article?

POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning Segmentation

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By De Wen
| arXiv
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MotionLab: Unified Human Motion Generation and Editing via the Motion-Condition-Motion Paradigm

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By De Wen, Zeyu Hu, Na Zhao
| arXiv
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[2401.00194] On the Identifiability from Modulo Measurements under DFT Sensing Matrix

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By De Wen, Jiang Zhu, Fengzhong Qu, Zheng Zhu
| arXiv
[Submitted on 30 Dec 2023 ( v1 ), last revised 6 Aug 2024 (this version, v2)] Title:On the Identifiability from Modulo Measurements under DFT Sensing Matrix View a PDF of the paper titled On the Identifiability from Modulo Measurements under DFT Sensing Matrix, by Qi Zhang and 3 other authors View PDF HTML (experimental) Abstract:Modulo sampling (MS) has been recently introduced to enhance the dynamic range of conventional ADCs by applying a modulo operator before sampling.
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[2309.04901] One-Bit-Aided Modulo Sampling for DOA Estimation

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By De Wen, Jiang Zhu, Fengzhong Qu
| arXiv
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (687) Issue with article?

[2305.11791] Enhancing Few-shot NER with Prompt Ordering based Data Augmentation

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By De Wen
| arXiv
arXiv:2305.11791 (cs) Download a PDF of the paper titled Enhancing Few-shot NER with Prompt Ordering based Data Augmentation, by Huiming Wang and 4 other authors Download PDF Submission history From: Huiming Wang [ view email] [v1] Fri, 19 May 2023 16:25:43 UTC (7,012 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media DagsHub Toggle DagsHub...
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