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Sheng Jin

14 papers at tracked venues · 10 at CORE A* · active 2024–2025

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Venues

ECCV ×4AAAI ×3CVPR ×3ICLR ×2ICCV ×1NeurIPS ×1

Frequent coauthors

Size Wu
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Haopeng Sun
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Zekang Yang
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Ruijie Yao
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Jie Yang
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Yi Zhang
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Papers

  1. AutoMMLab: Automatically Generating Deployable Models from Language Instructions for Computer Vision Tasks
    AAAI 2025 ·
    Zekang Yang
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  2. F-LMM: Grounding Frozen Large Multimodal Models
    CVPR 2025 ·
    Size Wu
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  3. Harmonizing Visual Representations for Unified Multimodal Understanding and Generation
    ICCV 2025 ·
    Size Wu
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  4. NADER: Neural Architecture Design via Multi-Agent Collaboration
    CVPR 2025 ·
    Zekang Yang
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  5. Ultra-High Resolution Segmentation via Boundary-Enhanced Patch-Merging Transformer
    AAAI 2025 ·
    Haopeng Sun
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  6. Unsupervised Continual Domain Shift Learning with Multi-Prototype Modeling
    CVPR 2025 ·
    Haopeng Sun
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  7. CLIM: Contrastive Language-Image Mosaic for Region Representation
    AAAI 2024 ·
    Size Wu
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  8. CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction
    ICLR 2024 ·
    Size Wu
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  9. GKGNet: Group K-Nearest Neighbor Based Graph Convolutional Network for Multi-label Image Recognition
    ECCV 2024 ·
    Ruijie Yao
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  10. KptLLM: Unveiling the Power of Large Language Model for Keypoint Comprehension
    NeurIPS 2024 ·
    Jie Yang
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  11. PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
    ICLR 2024 ·
    Haopeng Sun
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  12. UniFS: Universal Few-Shot Instance Perception with Point Representations
    ECCV 2024 · Sheng Jin
  13. When Pedestrian Detection Meets Multi-modal Learning: Generalist Model and Benchmark Dataset
    ECCV 2024 ·
    Yi Zhang
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  14. You Only Learn One Query: Learning Unified Human Query for Single-Stage Multi-person Multi-task Human-Centric Perception
    ECCV 2024 · Sheng Jin