Latest AI and machine learning research in environmental health for healthcare professionals.
Static analysis of real-world programs combines flow- and context-sensitive analyses of local program states with computation of flow- and context-insensitive invariants at globals, that, e.g., abstract data shared by multiple threads. The values of locals and globals may mutually depend on each other, with the analysis of local program states both making contributions to globals and querying th...
To achieve realistic immersion in landscape images, fluids such as water and clouds need to move within the image while revealing new scenes from various camera perspectives. Recently, a field called dynamic scene video has emerged, which combines single image animation with 3D photography. These methods use pseudo 3D space, implicitly represented with Layered Depth Images (LDIs). LDIs separate ...
The escalation of urban air pollution necessitates innovative solutions for real-time air quality monitoring and prediction. This paper introduces a...
DNN-based methods have been successful in Image Signal Processor (ISP) and image enhancement (IE) tasks. However, the cost of creating training data...
Optical microscopy contributes to the ever-increasing progress in biological and biomedical studies, as it allows the implementation of minimally in...
Fine-tuning a pre-trained Text-to-Image (T2I) model on a tailored portrait dataset is the mainstream method for text-driven customization of portrai...
Renewable resources are strongly dependent on local and large-scale weather situations. Skillful subseasonal to seasonal (S2S) forecasts -- beyond t...
Researchers have proposed the use of generative large language models (LLMs) to label data for both research and applied settings. This literature e...
Living biological tissue is a complex system, constantly growing and changing in response to external and internal stimuli. These processes lead to ...
Hail nowcasting is a considerable contributor to meteorological disasters and there is a great need to mitigate its socioeconomic effects through pr...
Online platforms take proactive measures to detect and address undesirable behavior, aiming to focus these resource-intensive efforts where such beh...
While safety mechanisms have significantly progressed in filtering harmful text inputs, MLLMs remain vulnerable to multimodal jailbreaks that exploi...
We introduce the task of human motion unlearning to prevent the synthesis of toxic animations while preserving the general text-to-motion generative...
Object detection aims to obtain the location and the category of specific objects in a given image, which includes two tasks: classification and loc...
Biofouling$\unicode{x2013}$communities of organisms that grow on hard surfaces immersed in water$\unicode{x2013}$provides a pathway for the spread o...
Joint source-channel coding systems based on deep neural networks (DeepJSCC) have recently demonstrated remarkable performance in wireless image tra...
The growing use of generative models in daily life calls for efficient mechanisms to control their generation, to e.g., produce safe content or prov...
The growing deployment of large Vision-Language Models (VLMs) exposes critical safety gaps in their alignment mechanisms. While existing jailbreak s...
Prior approaches to lead instrument detection primarily analyze mixture audio, limited to coarse classifications and lacking generalization ability....
Waste classification is crucial for improving processing efficiency and reducing environmental pollution. Supervised deep learning methods are commo...