Geospatial foundation models (GeoFMs), pretrained on large-scale geospatial data such as Earth observation (EO), climate, and weather data, have shown promising performance when fine-tuned on diverse downstream tasks. However, there are two challenges of adapting EO-pretrained GeoFMs to practical downstream datasets. T...
Xingyan Li, Jordan A. Caraballo-Vega, Jie Gong et al.· 0 citations
To ensure energy efficiency and reliable operations, it is essential to monitor solar panels in generation plants to detect defects. It is quite labor-intensive, time consuming and costly to manually monitor large-scale solar plants and those installed in remote areas. Manual inspection may also be susceptible to human...
Muhammad Junaid Asif, Muhammad Saad Rafaqat, Usman Nazakat et al.· 0 citations
Accurate wound classification (WC) and boundary segmentation are essential for guiding clinical decisions in chronic and acute wound management. However, most existing artificial intelligence (AI) models are limited, focusing on a narrow set of wound types, limited variations in wound severity, or a single task (segmen...
Mehedi Hasan Tusar, Fateme Fayyazbakhsh, Igor Melnychuk et al.· 0 citations
Nonrigid registration is conventionally divided into point set registration, which aligns sparse geometries, and image registration, which aligns continuous intensity fields on regular grids. This dichotomy is limiting for emerging scientific data such as spatial transcriptomics, where high-dimensional vector-valued fu...
Osamu Hirose, Emanuele Rodola· 0 citations
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Recent work leverages Large Language Models (LLMs) to generate executable code for pedagogical animations using libraries such as Manim. However, ensuring spatial correctness and visual legibility remains challenging, as existing frameworks emphasize pedagogical content while overlooking geometric occlusions. We propos...
Jhon Lopez, Carlos Hinojosa, Bernard Ghanem· 0 citations
A novel interdisciplinary framework for analyzing police body-worn camera (BWC) footage from the Rochester Police Department using advanced artificial intelligence (AI) and statistical machine learning (ML) techniques to identify key behavioral dynamics, such as respect, disrespect, escalation, and de-escalation.
Anita Srbinovska, Angela Srbinovska, V. Senthil et al.· arXiv.org· 9 citations
LASP, a Language-Augmented Semantic Priors framework that leverages large language models to infer structured, solver-usable B-spline priors from procedural modeling histories, is introduced, establishing a new paradigm of language-guided geometric optimization in modern CAD systems.
Yunzhong Lou, Yu-Sheng Luo, Jiahao Li et al.· 2026 IEEE/CVF Conference on...· 0 citations
Early diagnosis of melanoma is critical for improving patient survival rates. However, accurately distinguishing melanoma from other skin lesions remains a significant clinical challenge due to the high visual similarity among lesion types and variability in image acquisition conditions. Artificial intelligence, partic...
Wagner Moreno Schmitz, Marco Antonio de Castro Barbosa, T. M. Amaral et al.· 0 citations
In this paper, we address the problem of graphic design template creation, which generates a background image and a layout of foreground elements over the background to form a harmonious composition from an input text.
Prior work on graphic design generation mostly adopts a sequential paradigm, where design elements...
Lung cancer causes more deaths than any other malignancy, and low-dose CT screening is the main pathway to early diagnosis. That pathway hinges on the smallest lesions, yet nodules below six millimeters remain hard to detect, because most methods treat a nodule as a generic object and ignore the imaging physics behind...
This work proposes Vid-PRE (Video Prompt Reasoner and Enhancer), a model-agnostic prompt rewriter that offloads the cognitive burden of reasoning to a dedicated VLM, and introduces VWG-Bench, a comprehensive benchmark spanning 9 reasoning dimensions and 38 fine-grained tasks.
Meng Luo, Yi-Chen Liu, Jia-Hao Wang et al.· 1 citation
Large multimodal models tend to hallucinate visual detail fluently, which limits their deployment for fine-grained interpretation. We present HALDETECT, our system for the English hallucination-detection track (Task 1b) of ImageEval 2026, in which a system must identify, from an image and three culturally plausible sta...
Exploring how generative AI could make machine vision more accessible to businesses. The post GenEye in a Box: Making Machine Vision Something You Can Just Ask For appeared first on GPT-Lab.
Jennifer Neville did not want to go into computer science—but that’s exactly where she landed. Neville discusses the starts and stops that led to her professional sweet spot and her work identifying “surprising failures” making it hard for AI to handle complexity. The post What AI gets wrong and what failure teaches us appeared first on Microsoft Research.
Computer scientist, entrepreneur, and philanthropist will collaborate with the MIT Schwarzman College of Computing to advance AI and scientific discovery.
