Early stress detection in crops is a necessity today to improve efficiency and reduce waste of time, money, and effort. However, most modern techniques, such as hyperspectral imaging and AI-based systems, are too costly and complex for medium and small-scale farmers to implement. This paper showcases CropSentry, a low-...
This framework, Coordinated Multi-Agent Diffusion Steering (CMDS), treats frozen pretrained diffusion models as reusable generative primitives and coordinates their reverse processes through a learned control, forming coordination as a stochastic optimal control problem.
Riccardo Barbano, Vincent Pauline, Run-Chang Li et al.· 0 citations
The experiments show that MNP can successfully achieve safe sim-to-real transfer without sacrificing control performance, and it is demonstrated that integrating Evolution Strategy and Statistical Model checking for policy search can drastically reduce neural network size without compromising safety and robustness.
Hong-Peng Cao, Riccardo Curcio, Daniele Ottaviano et al.· 0 citations
Clinical diagnosis is inherently a structured reasoning process, yet existing deep learning models often bypass this structure by mapping image features directly to disease labels without explicitly interrogating the morphological and textural criteria that clinicians systematically evaluate. This limits diagnostic tra...
Asim Khan, Samee Ullah Khan, Dwarikanath Mahapatra· 0 citations
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Vision-language models (VLMs) are increasingly being applied to three-dimensional medical imaging, but their application to knee MRI remains limited, particularly for interpreting the complementary sequences used in clinical practice. We introduce Knee3DVLM, a sequence-aware VLM that uses full-volume DESS and fluid-sen...
Maryam Baizhigitova, A. Yu, Po-Hao Chen et al.· 0 citations
Agentic reinforcement learning (RL) disaggregates training from rollout, so each policy update must reach the rollout clusters before the next batch. Transferring a full 1T checkpoint for such weight synchronization (refit) takes 87.5 min between two AWS regions. Measurements of BF16 training show that about 1% of weig...
Songlin Jiang, Zhi-Yu Li, Terry Kong et al.· 0 citations
While recent vision-language models (VLMs) have shown outstanding performance across diverse applications, they tend to under-use visual information and over-rely on textual context. In this work, we propose \textsc{GeoPID}, a training-free framework that analyzes multimodal information within VLMs from a geometric per...
Seulgi Kim, Zhixiong Zhang, Xin-Wei Zhang et al.· 0 citations
Experiments show that SufficientPlan substantially reduces search budgets and planning latency while maintaining competitive control performance, and caches observation and goal representations across search iterations while preserving candidate-dependent planning and selected actions.
Chang-Bai Li, Si-Rui Li, Yi-Chen Yang et al.· 0 citations
The rapid integration of Vision Language Models (VLMs) into sensitive systems introduces critical safety vulnerabilities that remain unexplored in exist studies. While adversarial attack robustness has been extensively studied for image-based models, the susceptibility of VLMs to temporally-aware adversarial attacks ag...
Heyam Bin Jahlan Areej Alhothali Abeer Alhothali· 0 citations
Teleoperation serves as the fallback solution to autonomous driving but reliable functions of the teleoperation require a certain amount of mobile network resources, which cannot be guaranteed at all times. Therefore, predictive quality of service (pQoS) is introduced as a concept to increase the resilience of the tele...
Xiyan Su, Jianning Gao, Mahmoud Ashri et al.· 0 citations
Portable mobile-manipulation demonstrations can help alleviate data scarcity for embodied intelligence, but obtaining reliable, low-cost, and robot-free motion supervision from RGB observations remains challenging. Existing approaches often rely on teleoperation or specialized devices equipped with additional sensing h...
Yutian Zhang, Xingrui Xiong, Siyuan Ma et al.· 0 citations
Assistants grounded in a small, frequently edited knowledge base can retrieve through tool calls to a live data interface or through vector retrieval-augmented generation (RAG). We compare the two on KyGround, a benchmark of 198 questions drawn from the published records of a Greek--English agricultural platform on Kyt...
Nikolaos D. Tantaroudas, Ilias Karachalios, Andrew J. McCracken· 0 citations
