5 papers indexed
3D point cloud-language models (3D-LLMs) enable 3D understanding by pairing point cloud encoders with large language models, but existing methods rely on costly multi-modal encoders (e.g., ULIP-2) that require image-text-point cloud alignment on 8x A100-scale compute, creating hi…
Yuehua Chen, Jiajun Wan, Tian Zhang, Zhijiang Wan, Jin Hong, Youpeng Jin
Background Retinopathy of Prematurity (ROP) is a vasoproliferative retinal disorder and a major cause of childhood blindness worldwide. Clinical ROP management involves three correlated tasks: Plus disease detection, stage classification, and treatment decision-making. Although d…
Zhen Li, Gang Cao, Tian Zhang, Lifang Yu, Shaowei Weng
The rapid advancement of large-scale generative models has accelerated the spread of highly deceptive AI-generated images, making generalized synthetic image detection a critical imperative. Existing forensic networks often struggle with cross-model generalization and realworld d…
Zhaowen Zhu, Li Zhang, Yujie Chen, Tian Zhang, Yingjie Wang, Mingxia Zhan
Self-Supervised Monocular Depth Estimation (MDE) has garnered attention in recent years due to its independence from ground truth. However, most existing models are limited to a single scale and exhibit considerable performance degradation in complex driving environments. Network…
Yiwei Xu, Yong Zhuang, Xuanming Liu, Tian Zhang, Bowen Xiao, Xiaoyang Xu, et al.
Large language model (LLM) agents are rapidly being integrated into real-world systems. Their autonomy and tool-use capabilities generate substantial value while simultaneously expanding the security attack surface. This survey provides a comprehensive overview of the opportuniti…