Thyroid ultrasound diagnosis requires coordinated lesion localization, measurement, risk stratification and reporting, yet most AI systems address these tasks in isolation and provide limited support for clinical review. We present ThyroidXAgent, a clinician-interactive agentic AI system that coordinates specialized di...
Haifan Gong, Shiyu Chen, Bodong Wang et al.· 0 citations
Compositional 3D scene generation aims to recover complete 3D object shapes and their spatial arrangement from visual observations. Recent image-conditioned 3D generators provide strong priors for producing high-quality object geometry, making the generation of complex scenes increasingly practical. A central challenge...
Gui-Biao Liao, M. Xiang, Heng Li et al.· 0 citations
Fine-grained visual classification (FGVC) plays a crucial role in the realm of computer vision. Recently, multimodal FGVC methods, leveraging textual descriptions as semantic guidance, have gained considerable attention. However, current approaches often encounter two primary limitations: 1) Redundant or ambiguous text...
Meng-Huan Zhang, Qing Cai, Fan Zhang et al.· IEEE Transactions on Image P...· 0 citations
Diffusion models have recently become the dominant paradigm for monocular depth estimation (MDE). However, they implicitly assume that depth can be recovered as a globally smooth field through iterative denoising, which does not explicitly reflect the piecewise and scale-dependent organization of scene geometry. In pra...
This paper introduces a novel conjunctive multi-attribute verification mechanism to explicitly combat attribute under-representation and significantly outperforms existing methods and establishes a new state-of-the-art on challenging FG-OVD benchmarks, demonstrating a more robust approach to compositional visual reason...
Jiaming Li, Zhijia Liang, Shuangyin Liu et al.· International Journal of Com...· 0 citations
MoRoute is introduced, a unified multimodal video generation framework that formulates a frozen VLM and a pretrained video DiT with different architectures as heterogeneous experts connected through dynamic layer routing.
Chong Gao, Jie Ma, Zhan Peng et al.· arXiv.org· 0 citations
UPS-GRPO is developed, an uncertainty-prioritized policy optimization method that concentrates exploration on high-uncertainty post-tool states while preserving sample efficiency and introduces a turn-level advantage decomposition that integrates outcome rewards with tool-grounded temporal alignment rewards for improve...
Keyang Zhong, Kuo Wang, Peng Liu et al.· 0 citations
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