Search Results - SouYoung Jin

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  1. 1
    End-to-End Face Detection and Cast Grouping in Movies Using Erdös-Rényi Clustering

    End-to-End Face Detection and Cast Grouping in Movies Using Erdös-Rényi Clustering by SouYoung Jin, Hang Su, Stauffer, Chris, Learned-Miller, Erik

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  2. 2
    Modeling short visual events through the BOLD moments video fMRI dataset and metadata

    Modeling short visual events through the BOLD moments video fMRI dataset and metadata by Lahner, Benjamin, Dwivedi, Kshitij, Iamshchinina, Polina, Graumann, Monika, Lascelles, Alex, Roig, Gemma, Gifford, Alessandro Thomas, Pan, Bowen, Jin, SouYoung, Ratan Murty, N. Apurva, Kay, Kendrick, Oliva, Aude, Cichy, Radoslaw

    Published in Nature communications
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  3. 3
    Spoken Moments: A Large Scale Dataset of Audio Descriptions of Dynamic Events in Video

    Spoken Moments: A Large Scale Dataset of Audio Descriptions of Dynamic Events in Video by Monfort, Mathew, Jin, SouYoung, Harwath, David, Feris, Rogerio, Glass, James, Oliva, Aude

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  4. 4
    Multi-layer Learnable Attention Mask for Multimodal Tasks

    Multi-layer Learnable Attention Mask for Multimodal Tasks by Barrios, Wayner, Jin, SouYoung

    Published in arXiv.org
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  5. 5
    Is Attention All You Need For Actigraphy? Foundation Models of Wearable Accelerometer Data for Mental Health Research

    Is Attention All You Need For Actigraphy? Foundation Models of Wearable Accelerometer Data for Mental Health Research by Ruan, Franklin Y, Zhang, Aiwei, Oh, Jenny Y, Jin, SouYoung, Jacobson, Nicholas C

    Published in ArXiv.org
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  6. 6
    FT2TF: First-Person Statement Text-To-Talking Face Generation

    FT2TF: First-Person Statement Text-To-Talking Face Generation by Diao, Xingjian, Cheng, Ming, Barrios, Wayner, Jin, SouYoung

    Published in arXiv.org
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  7. 7
    Is Attention All You Need For Actigraphy? Foundation Models of Wearable Accelerometer Data for Mental Health Research

    Is Attention All You Need For Actigraphy? Foundation Models of Wearable Accelerometer Data for Mental Health Research by Ruan, Franklin Y, Zhang, Aiwei, Oh, Jenny Y, Jin, SouYoung, Jacobson, Nicholas C

    Published in arXiv.org
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  8. 8
    LangNav: Language as a Perceptual Representation for Navigation

    LangNav: Language as a Perceptual Representation for Navigation by Bowen, Pan, Panda, Rameswar, Jin, SouYoung, Feris, Rogerio, Oliva, Aude, Isola, Phillip, Yoon, Kim

    Published in arXiv.org
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  9. 9
    Learning Human Action Recognition Representations Without Real Humans

    Learning Human Action Recognition Representations Without Real Humans by Zhong, Howard, Mishra, Samarth, Kim, Donghyun, Jin, SouYoung, Panda, Rameswar, Kuehne, Hilde, Karlinsky, Leonid, Saligrama, Venkatesh, Oliva, Aude, Feris, Rogerio

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  10. 10
    Cross-Modal Discrete Representation Learning

    Cross-Modal Discrete Representation Learning by Liu, Alexander H, Jin, SouYoung, Cheng-I, Jeff Lai, Rouditchenko, Andrew, Oliva, Aude, Glass, James

    Published in arXiv.org
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  11. 11
    Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions

    Spoken Moments: Learning Joint Audio-Visual Representations from Video Descriptions by Monfort, Mathew, Jin, SouYoung, Liu, Alexander, Harwath, David, Feris, Rogerio, Glass, James, Oliva, Aude

    Published in arXiv.org
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  12. 12
    End-to-end Face Detection and Cast Grouping in Movies Using Erdős-R\'{e}nyi Clustering

    End-to-end Face Detection and Cast Grouping in Movies Using Erdős-R\'{e}nyi Clustering by Jin, SouYoung, Su, Hang, Stauffer, Chris, Learned-Miller, Erik

    Published in arXiv.org
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  13. 13
    Automatic adaptation of object detectors to new domains using self-training

    Automatic adaptation of object detectors to new domains using self-training by RoyChowdhury, Aruni, Chakrabarty, Prithvijit, Singh, Ashish, Jin, SouYoung, Jiang, Huaizu, Cao, Liangliang, Learned-Miller, Erik

    Published in arXiv.org
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  14. 14
    Unsupervised Hard Example Mining from Videos for Improved Object Detection

    Unsupervised Hard Example Mining from Videos for Improved Object Detection by Jin, SouYoung, RoyChowdhury, Aruni, Jiang, Huaizu, Singh, Ashish, Prasad, Aditya, Chakraborty, Deep, Learned-Miller, Erik

    Published in arXiv.org
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