SegBanana is proposed, to the authors' knowledge, the first agentic visual generation framework for training-free medical image segmentation and builds on a frozen UMM as the core generative model, augmented with Anatomy-Aware Knowledge Retrieval and Comparative Quality Critique to unlock its potential segmentation cap...
Xiao-Ye Liang, Ye Yan, Ming-Ze Yin et al.· 0 citations
A novel Phase Updating and Transform Network (PUTNet) is developed, which performs two key operations including updating the saliency phase component under RGB-D-Saliency phase consistency constraints, and generating the final saliency map through global phase-to-image transform.
Jing-Yi Xu, Xin Deng, Minglang Qiao et al.· IEEE Transactions on Pattern...· 0 citations
This study empirically confirms the presence of LLM values, accurately quantifies their shifts, and achieves more efficient and precise steering than conventional blind training, all without degrading general capabilities.
Kelvin Zhang, Jing-Yu-Gin Chen, Yu-Fan Liu et al.· 0 citations
For multi-modal image super-resolution (MISR), exploring cross-modal consistency is of vital importance. However, most existing consistency priors struggle to preserve high-frequency components and fail to provide generalizable regularization, often resulting in blurred edges or inaccurate textures. In this paper, we r...
Jingyi Xu, Xin Deng, Yutong Wang et al.· IEEE Transactions on Pattern...· 0 citations
P4VC is introduced, a Positive Perturbation based Perceptual Preprocessing framework that generates adaptive perturbations before compression to enhance the rate-perception trade-off and step beyond conventional frameworks and focus on preprocessing ahead of compression.
Mai Xu, Yi-Chen Guo, Shang-Mou Zhang et al.· IEEE Transactions on Pattern...· 0 citations
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