Jiansheng Chen

Venues

Frequent coauthors

Papers

1. AGC-Drive: A Large-Scale Dataset for Real-World Aerial-Ground Collaboration in Driving Scenarios
   NeurIPS 2025 ·

   Yunhao Hou

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2. DADet: Safeguarding Image Conditional Diffusion Models Against Adversarial and Backdoor Attacks via Diffusion Anomaly Detection
   ICCV 2025 ·

   Hongwei Yu

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3. DHCP: Detecting Hallucinations by Cross-modal Attention Pattern in Large Vision-Language Models
   ACM MM 2025 ·

   Yudong Zhang

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4. Enhancing Contrastive Learning Inspired by the Philosophy of "The Blind Men and the Elephant"
   AAAI 2025 ·

   Yudong Zhang

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5. Fighting Fire with Fire (F3): A Training-free and Efficient Visual Adversarial Example Purification Method in LVLMs
   ACM MM 2025 ·

   Yudong Zhang

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6. From Black Boxes to Transparent Minds: Evaluating and Enhancing the Theory of Mind in Multimodal Large Language Models
   ICML 2025 ·

   Xinyang Li

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7. QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models
   NAACL 2025 ·

   Yudong Zhang

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8. SAM2Object: Consolidating View Consistency via SAM2 for Zero-Shot 3D Instance Segmentation
   CVPR 2025 ·

   Jihuai Zhao

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9. The Security Threat of Compressed Projectors in Large Vision-Language Models
   EMNLP 2025 ·

   Yudong Zhang

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10. Affinity3D: Propagating Instance-Level Semantic Affinity for Zero-Shot Point Cloud Semantic Segmentation
    ACM MM 2024 ·

    Haizhuang Liu

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11. CMT: Co-training Mean-Teacher for Unsupervised Domain Adaptation on 3D Object Detection
    ACM MM 2024 ·

    Shijie Chen

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12. Improving Item-side Fairness of Multimodal Recommendation via Modality Debiasing
    WWW 2024 ·

    Yu Shang

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13. PIP: Detecting Adversarial Examples in Large Vision-Language Models via Attention Patterns of Irrelevant Probe Questions
    ACM MM 2024 ·

    Yudong Zhang

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14. Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models
    AAAI 2024 ·

    Hongwei Yu

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15. Upper-Body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving
    ECCV 2024 ·

    Jiehui Wu

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