Search Results - Zhu, Beier

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  1. 1
    Fault Location for Radial Distribution Network via Topology and Reclosure-Generating Traveling Waves

    Fault Location for Radial Distribution Network via Topology and Reclosure-Generating Traveling Waves by Shi, Shenxing, Zhu, Beier, Lei, Aoyu, Dong, Xinzhou

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  2. 2
    Fault Classification for Transmission Lines Based on Group Sparse Representation

    Fault Classification for Transmission Lines Based on Group Sparse Representation by Shi, Shenxing, Zhu, Beier, Mirsaeidi, Sohrab, Dong, Xinzhou

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  3. 3
    Structure-Coherent Deep Feature Learning for Robust Face Alignment

    Structure-Coherent Deep Feature Learning for Robust Face Alignment by Lin, Chunze, Zhu, Beier, Wang, Quan, Liao, Renjie, Qian, Chen, Lu, Jiwen, Zhou, Jie

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  4. 4
    Fault location in AC transmission lines with back-to-back MMC-HVDC using ConvNets

    Fault location in AC transmission lines with back-to-back MMC-HVDC using ConvNets by Zhu, Beier, Wang, Haozong, Shi, Shenxing, Dong, Xinzhou

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  5. 5
    Debiasing vision-language models for vision tasks: a survey

    Debiasing vision-language models for vision tasks: a survey by Zhu, Beier, Zhang, Hanwang

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  6. 6
    Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification

    Cross-Domain Empirical Risk Minimization for Unbiased Long-Tailed Classification by Zhu, Beier, Niu, Yulei, Hua, Xian-Sheng, Zhang, Hanwang

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  7. 7
    Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization

    Debiased Fine-Tuning for Vision-Language Models by Prompt Regularization by Zhu, Beier, Niu, Yulei, Lee, Saeil, Hur, Minhoe, Zhang, Hanwang

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  8. 8
    Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning

    Leveraging Modality-Specific Representations for Audio-Visual Speech Recognition via Reinforcement Learning by Chen, Chen, Hu, Yuchen, Zhang, Qiang, Zou, Heqing, Zhu, Beier, Chng, Eng Siong

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  9. 9
    Classes Are Not Equal: An Empirical Study on Image Recognition Fairness

    Classes Are Not Equal: An Empirical Study on Image Recognition Fairness by Cui, Jiequan, Zhu, Beier, Wen, Xin, Qi, Xiaojuan, Yu, Bei, Zhang, Hanwang

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  10. 10
    Robust Fine-tuning of Zero-shot Models via Variance Reduction

    Robust Fine-tuning of Zero-shot Models via Variance Reduction by Beier Zhu, Cui, Jiequan, Zhang, Hanwang

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  11. 11
    StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements

    StyleStudio: Text-Driven Style Transfer with Selective Control of Style Elements by Mingkun Lei, Song, Xue, Beier Zhu, Wang, Hao, Zhang, Chi

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  12. 12
    Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models

    Generalized Logit Adjustment: Calibrating Fine-tuned Models by Removing Label Bias in Foundation Models by Beier Zhu, Tang, Kaihua, Sun, Qianru, Zhang, Hanwang

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  13. 13
    Prompt-aligned Gradient for Prompt Tuning

    Prompt-aligned Gradient for Prompt Tuning by Beier Zhu, Niu, Yulei, Han, Yucheng, Wu, Yue, Zhang, Hanwang

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  14. 14
    Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting

    Enhancing Zero-Shot Vision Models by Label-Free Prompt Distribution Learning and Bias Correcting by Zhu, Xingyu, Beier Zhu, Tan, Yi, Wang, Shuo, Hao, Yanbin, Zhang, Hanwang

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  15. 15
    Selective Vision-Language Subspace Projection for Few-shot CLIP

    Selective Vision-Language Subspace Projection for Few-shot CLIP by Zhu, Xingyu, Beier Zhu, Tan, Yi, Wang, Shuo, Hao, Yanbin, Zhang, Hanwang

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  16. 16
    Debiased Fine-Tuning for Vision-language Models by Prompt Regularization

    Debiased Fine-Tuning for Vision-language Models by Prompt Regularization by Beier Zhu, Niu, Yulei, Lee, Saeil, Hur, Minhoe, Zhang, Hanwang

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  17. 17
    Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens

    Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens by Jiang, Zhangqi, Chen, Junkai, Beier Zhu, Luo, Tingjin, Shen, Yankun, Xu, Yang

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  18. 18
    Classes Are Not Equal: An Empirical Study on Image Recognition Fairness

    Classes Are Not Equal: An Empirical Study on Image Recognition Fairness by Cui, Jiequan, Beier Zhu, Wen, Xin, Qi, Xiaojuan, Yu, Bei, Zhang, Hanwang

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  19. 19
    Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification

    Cross-Domain Empirical Risk Minimization for Unbiased Long-tailed Classification by Beier Zhu, Niu, Yulei, Xian-Sheng Hua, Zhang, Hanwang

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  20. 20
    Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning

    Leveraging Modality-specific Representations for Audio-visual Speech Recognition via Reinforcement Learning by Chen, Chen, Hu, Yuchen, Zhang, Qiang, Zou, Heqing, Beier Zhu, Chng, Eng Siong

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