Search Results - Heliang Zheng

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  1. 1
    Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition

    Learning Multi-attention Convolutional Neural Network for Fine-Grained Image Recognition by Heliang Zheng, Jianlong Fu, Tao Mei, Jiebo Luo

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  2. 2
    Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition

    Learning Rich Part Hierarchies With Progressive Attention Networks for Fine-Grained Image Recognition by Zheng, Heliang, Fu, Jianlong, Zha, Zheng-Jun, Luo, Jiebo, Mei, Tao

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  3. 3
    PartSeg: Few-shot part segmentation via part-aware prompt learning

    PartSeg: Few-shot part segmentation via part-aware prompt learning by Han, Mengya, Zheng, Heliang, Wang, Chaoyue, Luo, Yong, Hu, Han, Zhang, Jing, Du, Bo

    Published in Pattern recognition
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  4. 4
    Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment

    Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment by Zheng, Heliang, Yang, Huan, Fu, Jianlong, Zha, Zheng-Jun, Luo, Jiebo

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  5. 5
    Reference-based GAN Evaluation by Adaptive Inversion

    Reference-based GAN Evaluation by Adaptive Inversion by Wang, Jianbo, Zheng, Heliang, Yamasaki, Toshihiko

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  6. 6
    Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm

    Infinite-ID: Identity-preserved Personalization via ID-semantics Decoupling Paradigm by Wu, Yi, Li, Ziqiang, Zheng, Heliang, Wang, Chaoyue, Li, Bin

    Published in arXiv.org
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  7. 7
    MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models

    MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models by Zhao, Jing, Zheng, Heliang, Wang, Chaoyue, Long, Lan, Yang, Wenjing

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  8. 8
    MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models

    MagicNaming: Consistent Identity Generation by Finding a "Name Space" in T2I Diffusion Models by Zhao, Jing, Zheng, Heliang, Wang, Chaoyue, Long, Lan, Hunag, Wanrong, Tang, Yuhua

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  9. 9
    Token Contrast for Weakly-Supervised Semantic Segmentation

    Token Contrast for Weakly-Supervised Semantic Segmentation by Ru, Lixiang, Zheng, Heliang, Zhan, Yibing, Du, Bo

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  10. 10
    FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs

    FakeCLR: Exploring Contrastive Learning for Solving Latent Discontinuity in Data-Efficient GANs by Li, Ziqiang, Wang, Chaoyue, Zheng, Heliang, Zhang, Jing, Li, Bin

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  11. 11
    3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models

    3DDesigner: Towards Photorealistic 3D Object Generation and Editing with Text-guided Diffusion Models by Li, Gang, Zheng, Heliang, Wang, Chaoyue, Chang, Li, Zheng, Changwen, Tao, Dacheng

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  12. 12
    Domain Re-Modulation for Few-Shot Generative Domain Adaptation

    Domain Re-Modulation for Few-Shot Generative Domain Adaptation by Wu, Yi, Li, Ziqiang, Wang, Chaoyue, Zheng, Heliang, Zhao, Shanshan, Li, Bin, Tao, Dacheng

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  13. 13
    PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning

    PartSeg: Few-shot Part Segmentation via Part-aware Prompt Learning by Han, Mengya, Zheng, Heliang, Wang, Chaoyue, Luo, Yong, Hu, Han, Zhang, Jing, Wen, Yonggang

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  14. 14
    Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator

    Null-text Guidance in Diffusion Models is Secretly a Cartoon-style Creator by Zhao, Jing, Zheng, Heliang, Wang, Chaoyue, Long, Lan, Huang, Wanrong, Yang, Wenjing

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  15. 15
    SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders

    SemMAE: Semantic-Guided Masking for Learning Masked Autoencoders by Li, Gang, Zheng, Heliang, Liu, Daqing, Wang, Chaoyue, Su, Bing, Zheng, Changwen

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  16. 16
    Leveraging GAN Priors for Few-Shot Part Segmentation

    Leveraging GAN Priors for Few-Shot Part Segmentation by Han, Mengya, Zheng, Heliang, Wang, Chaoyue, Luo, Yong, Hu, Han, Du, Bo

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  17. 17
    Unified Discrete Diffusion for Simultaneous Vision-Language Generation

    Unified Discrete Diffusion for Simultaneous Vision-Language Generation by Hu, Minghui, Zheng, Chuanxia, Zheng, Heliang, Tat-Jen Cham, Wang, Chaoyue, Yang, Zuopeng, Tao, Dacheng, Suganthan, Ponnuthurai N

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  18. 18
    Learning Deep Bilinear Transformation for Fine-grained Image Representation

    Learning Deep Bilinear Transformation for Fine-grained Image Representation by Zheng, Heliang, Fu, Jianlong, Zheng-Jun Zha, Luo, Jiebo

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  19. 19
    Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment

    Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment by Zheng, Heliang, Yang, Huan, Fu, Jianlong, Zheng-Jun Zha, Luo, Jiebo

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  20. 20
    Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition

    Looking for the Devil in the Details: Learning Trilinear Attention Sampling Network for Fine-grained Image Recognition by Zheng, Heliang, Fu, Jianlong, Zheng-Jun Zha, Luo, Jiebo

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