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Jinbao Wang

Shenzhen University, School of Artificial Intelligence, Shenzhen, China

16 papers at tracked venues · 12 at CORE A* · active 2024–2026

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Venues

AAAI ×5ACM MM ×4ECCV ×2IJCAI ×2NeurIPS ×2ICCV ×1

Frequent coauthors

Tao Dai
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Hanzhe Liang
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Qingyuan Liu
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Xiaowen Fu
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Xichen Xu
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Linchao Pan
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Jiayi Cheng
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Dezhi Zheng
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Yu Zeng
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Zehai Niu
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Hongze Zhu
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Xinpeng Li
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Papers

  1. Scene Experts: Specializing in 3D Gaussian Splatting with Adaptive Decomposition
    AAAI 2026 ·
    Xiaowen Fu
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  2. DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection
    AAAI 2025 ·
    Tao Dai
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  3. FAST: Foreground-aware Diffusion with Accelerated Sampling Trajectory for Segmentation-oriented Anomaly Synthesis
    NeurIPS 2025 ·
    Xichen Xu
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  4. Learning with Open-world Noisy Data via Class-independent Margin in Dual Representation Space
    AAAI 2025 ·
    Linchao Pan
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  5. Look Inside for More: Internal Spatial Modality Perception for 3D Anomaly Detection
    AAAI 2025 ·
    Hanzhe Liang
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  6. MC3D-AD: A Unified Geometry-aware Reconstruction Model for Multi-category 3D Anomaly Detection
    IJCAI 2025 ·
    Jiayi Cheng
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  7. Taming Anomalies with Down-Up Sampling Networks: Group Center Preserving Reconstruction for 3D Anomaly Detection
    ACM MM 2025 ·
    Hanzhe Liang
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  8. Text-to-Any-Skeleton Motion Generation Without Retargeting
    ICCV 2025 ·
    Qingyuan Liu
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  9. Unknown Pixel Mask Based Fine-tuning of 2D Inpainting Models for Unbounded 3D Scene Generation from a Single Image
    ACM MM 2025 ·
    Dezhi Zheng
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  10. FlexControl: Flexible and Efficient Full-Body Controllable Text-to-Motion Generation
    ECCV 2024 ·
    Qingyuan Liu
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  11. FreqFormer: Frequency-aware Transformer for Lightweight Image Super-resolution
    IJCAI 2024 ·
    Tao Dai
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  12. HairDiffusion: Vivid Multi-Colored Hair Editing via Latent Diffusion
    NeurIPS 2024 ·
    Yu Zeng
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  13. Motion Reconstruction via Human Anatomy Diffusion from Sparse Tracking
    ECCV 2024 ·
    Zehai Niu
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  14. Towards High-resolution 3D Anomaly Detection via Group-Level Feature Contrastive Learning
    ACM MM 2024 ·
    Hongze Zhu
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  15. Two in One Go: Single-stage Emotion Recognition with Decoupled Subject-context Transformer
    ACM MM 2024 ·
    Xinpeng Li
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  16. Unsupervised Continual Anomaly Detection with Contrastively-Learned Prompt
    AAAI 2024 ·
    Jiaqi Liu
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