From the 9 of 358 papers with an AI index.
266 citations
- Tsinghua UniversityCN88 papers
- University of Science and Technology of ChinaCN82 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT81 papers
- Beihang UniversityCN80 papers
- Nanjing Normal UniversityCN80 papers
- Peking UniversityCN80 papers
- Zhejiang UniversityCN80 papers
- National Centre for Nuclear ResearchPL79 papers
- South China Normal UniversityCN79 papers
- University of BristolGB79 papers
- University of TarapacáCL79 papers
- University of TurinIT79 papers
7 papers · 1 filter
PatternGSL: A Structured Specification Language for Template-Free and Simulation-Ready 3D Garments
Zhenyang Li, Lutao Jiang, Yizhou Zhao +4
Reconstructing realistic, physically plausible garments from a single image remains a fundamental challenge. Template-free methods capture surface geometry but lack explicit sewing…
Giving AI a Headache: Acoustic Adversarial Attacks to Computer Vision Applications
Nicole Villavicencio-Garduño, Maksim Ekin Eren, Milo Prisbrey +2
Artificial Intelligence (AI) is increasingly used to automate a variety of real-world computer vision (CV) applications, such as autonomous vehicle control, facial recognition, and…
UrbanVGGT: Scalable Sidewalk Width Estimation from Street View Images
Kaizhen Tan, Fan Zhang
Sidewalk width is an important indicator of pedestrian accessibility, comfort, and network quality, yet large-scale width data remain scarce in most cities. Existing approaches typ…
LMOD+: A Comprehensive Multimodal Dataset and Benchmark for Developing and Evaluating Multimodal Large Language Models in Ophthalmology
Zhenyue Qin, Yang Liu, Yu Yin +13
Vision-threatening eye diseases pose a major global health burden, with timely diagnosis limited by workforce shortages and restricted access to specialized care. While multimodal…
Handling Supervision Scarcity in Chest X-ray Classification: Long-Tailed and Zero-Shot Learning
Ha-Hieu Pham, Hai-Dang Nguyen, Thanh-Huy Nguyen +4
Chest X-Ray (CXR) classification in clinical practice is often limited by imperfect supervision, arising from (i) extreme long-tailed multi-label disease distributions and (ii) mis…
Adaptive Knowledge Transferring with Switching Dual-Student Framework for Semi-Supervised Medical Image Segmentation
Hoang-Thien Nguyen, Thanh-Huy Nguyen, Ba-Thinh Lam +6
Teacher-student frameworks have emerged as a leading approach in semi-supervised medical image segmentation, demonstrating strong performance across various tasks. However, the lea…