Search Results - Tian, Yonglong

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  1. 1
    Deep Learning Strong Parts for Pedestrian Detection

    Deep Learning Strong Parts for Pedestrian Detection by Tian, Yonglong, Luo, Ping, Wang, Xiaogang, Tang, Xiaoou

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  2. 2
    Adhesion performance of UHMWPE fiber treated with polyethylene wax grafted methyl methacrylate alone or in conjunction with silane coupling agent

    Adhesion performance of UHMWPE fiber treated with polyethylene wax grafted methyl methacrylate alone or in conjunction with silane coupling agent by Tian, Yonglong, Guo, Lamei

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  3. 3
    DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks

    DeepID-Net: Object Detection with Deformable Part Based Convolutional Neural Networks by Ouyang, Wanli, Zeng, Xingyu, Wang, Xiaogang, Qiu, Shi, Luo, Ping, Tian, Yonglong, Li, Hongsheng, Yang, Shuo, Wang, Zhe, Li, Hongyang, Wang, Kun, Yan, Junjie, Loy, Chen-Change, Tang, Xiaoou

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  4. 4
    Divide and Contrast: Self-supervised Learning from Uncurated Data

    Divide and Contrast: Self-supervised Learning from Uncurated Data by Tian, Yonglong, Henaff, Olivier J., Van Den Oord, Aaron

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  5. 5
    Composable Augmentation Encoding for Video Representation Learning

    Composable Augmentation Encoding for Video Representation Learning by Sun, Chen, Nagrani, Arsha, Tian, Yonglong, Schmid, Cordelia

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  6. 6
    Addressing Feature Suppression in Unsupervised Visual Representations

    Addressing Feature Suppression in Unsupervised Visual Representations by Li, Tianhong, Fan, Lijie, Yuan, Yuan, He, Hao, Tian, Yonglong, Feris, Rogerio, Indyk, Piotr, Katabi, Dina

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  7. 7
    DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection

    DeepID-Net: Deformable Deep Convolutional Neural Networks for Object Detection by Ouyang, Wanli, Zeng, Xingyu, Wang, Xiaogang, Qiu, Shi, Luo, Ping, Tian, Yonglong, Li, Hongsheng, Yang, Shuo, Wang, Zhe, Li, Hongyang, Loy, Chen Change, Wang, Kun, Yan, Junjie, Tang, Xiaoou

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  8. 8
    Scaling Laws of Synthetic Images for Model Training ... for Now

    Scaling Laws of Synthetic Images for Model Training ... for Now by Fan, Lijie, Chen, Kaifeng, Krishnan, Dilip, Katabi, Dina, Isola, Phillip, Tian, Yonglong

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  9. 9
    Learning Vision from Models Rivals Learning Vision from Data

    Learning Vision from Models Rivals Learning Vision from Data by Tian, Yonglong, Fan, Lijie, Chen, Kaifeng, Katabi, Dina, Krishnan, Dilip, Isola, Phillip

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  10. 10
    Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate

    Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate by Mi, Lu, Wang, Hao, Tian, Yonglong, He, Hao, Shavit, Nir N

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  11. 11
    Autoregressive Image Generation without Vector Quantization

    Autoregressive Image Generation without Vector Quantization by Li, Tianhong, Tian, Yonglong, He, Li, Deng, Mingyang, He, Kaiming

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  12. 12
    Improving CLIP Training with Language Rewrites

    Improving CLIP Training with Language Rewrites by Fan, Lijie, Krishnan, Dilip, Isola, Phillip, Katabi, Dina, Tian, Yonglong

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  13. 13
    StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners

    StableRep: Synthetic Images from Text-to-Image Models Make Strong Visual Representation Learners by Tian, Yonglong, Fan, Lijie, Isola, Phillip, Chang, Huiwen, Krishnan, Dilip

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  14. 14
    Contrastive Representation Distillation

    Contrastive Representation Distillation by Tian, Yonglong, Krishnan, Dilip, Isola, Phillip

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  15. 15
    Simple Distillation Baselines for Improving Small Self-supervised Models

    Simple Distillation Baselines for Improving Small Self-supervised Models by Gu, Jindong, Liu, Wei, Tian, Yonglong

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  16. 16
    Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision?

    Does Learning from Decentralized Non-IID Unlabeled Data Benefit from Self Supervision? by Wang, Lirui, Zhang, Kaiqing, Li, Yunzhu, Tian, Yonglong, Tedrake, Russ

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  17. 17
    Self-Correcting Self-Consuming Loops for Generative Model Training

    Self-Correcting Self-Consuming Loops for Generative Model Training by Gillman, Nate, Freeman, Michael, Aggarwal, Daksh, Chia-Hong, Hsu, Luo, Calvin, Tian, Yonglong, Chen, Sun

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  18. 18
    Contrastive Multiview Coding

    Contrastive Multiview Coding by Tian, Yonglong, Krishnan, Dilip, Isola, Phillip

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  19. 19
    Generative Models as a Data Source for Multiview Representation Learning

    Generative Models as a Data Source for Multiview Representation Learning by Jahanian, Ali, Puig, Xavier, Tian, Yonglong, Isola, Phillip

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  20. 20
    Scaling Laws of Synthetic Images for Model Training ... for Now

    Scaling Laws of Synthetic Images for Model Training ... for Now by Fan, Lijie, Chen, Kaifeng, Krishnan, Dilip, Katabi, Dina, Isola, Phillip, Tian, Yonglong

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