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Zhendong Mao

6 papers indexed

arxivcs.CV2026-07-18

HTT-Net: Hierarchical Text-guided Transition Modeling for Surgical Video Phase Recognition

Kunjie Deng, Jinghui Zhang, Weidong Chen, Ganbin Li, Xiangjun Lyu, Zhendong Mao, et al.

Surgical video phase recognition is a fundamental task in computer-assisted intervention, supporting workflow understanding, intraoperative guidance, and surgical quality assessment. Although recent visual-temporal models have achieved promising progress, accurate and temporally…

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arxivcs.CVcs.AIcs.CLcs.MM2026-07-15

Groc-PO: Grounded Context Preference Optimization for Truthful Multimodal LLMs

Zhixiao Zheng, Zheren Fu, Zhiyuan Yao, Chunxiao Liu, Dongming Zhang, Zhendong Mao

Despite the rapid progress of Multimodal Large Language Models (MLLMs), they still suffer from untruthfulness issues, such as visual hallucinations, content fabrication, and unfaithful reasoning, which substantially undermine their faithfulness and practical utility. Alignment me…

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arxivcs.CV2026-07-11

Geometry-aware Gaussian Prior and Axial Attention for Cervical Cytology Image Classification

Yating Li, Cheng Ye, Nenan Lyu, Weidong Chen, Zhendong Mao

Accurate cervical cytology image classification is a key component of automated cervical cancer screening, where reliable recognition of normal, precancerous, and cancer-associated cellular patterns from Pap smear images can improve screening efficiency and diagnostic consistency…

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arxivcs.CVcs.AI2026-07-11

EmoStyle: Affective Conditioning of Style-Specialist Experts for Emotional Image Generation

Dexiang Hong, Yijie Guo, Weidong Chen, Xinyan Liu, Zixuan Zou, Zhendong Mao, et al.

Emotion-aware artistic image generation requires an image to match the input prompt, follow the specified artistic style, and convey the target emotion. In this challenge, the main difficulty is that the visual and affective attributes available in the training data are not expli…

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arxivcs.CVcs.AIcs.CLcs.IRcs.MM2026-07-01

Learning to Compose: Revisiting Proxy Task Design for Zero-Shot Composed Image Retrieval

Jingjing Zhang, Lei Zhang, Zheren Fu, Zhendong Mao

Composed Image Retrieval (CIR) retrieves a target image from a reference image and a textual modification. While supervised CIR relies on costly triplets, Zero-Shot CIR (ZS-CIR) alleviates this reliance through proxy tasks trained on image-text pairs. However, existing proxy task…

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arxivcs.CVcs.AIcs.CLcs.MM2026-06-30

ADAPT: Attention Dynamics Alignment with Preference Tuning for Faithful MLLMs

Zhiyuan Yao, Zheren Fu, Zhixiao Zheng, Jiajun Li, Yi Tu, Zhendong Mao

Multimodal Large Language Models (MLLMs) are critically hampered by hallucination, generating content inconsistent with the provided image. In this paper, we identify an internal signature of hallucination: progressive degradation of text-to-image cross-attention during generatio…

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