From the 1 of 1.8k papers with an AI index.
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- Peking UniversityCN552 papers
- Tsinghua UniversityCN420 papers
- Carnegie Mellon UniversityUS372 papers
- Istituto Nazionale di Fisica Nucleare, Laboratori Nazionali di FrascatiIT365 papers
- University of Science and Technology of ChinaCN359 papers
- University of Chinese Academy of SciencesCN334 papers
- Institute of High Energy PhysicsCN332 papers
- Institute of Modern PhysicsCN323 papers
- Zhejiang UniversityCN321 papers
- University of PerugiaIT318 papers
- University of TurinIT316 papers
- Università degli Studi del Piemonte Orientale “Amedeo Avogadro”IT312 papers
23 papers · 2 filters
Anchor3DLane++: 3D Lane Detection via Sample-Adaptive Sparse 3D Anchor Regression
Shaofei Huang, Zhenwei Shen, Zehao Huang +4
In this paper, we focus on the challenging task of monocular 3D lane detection. Previous methods typically adopt inverse perspective mapping (IPM) to transform the Front-Viewed (FV…
A Comprehensive Survey of Action Quality Assessment: Method and Benchmark
Kanglei Zhou, Ruizhi Cai, Liyuan Wang +2
Action Quality Assessment (AQA) aims to automatically evaluate how well human actions are performed and has been widely applied in sports analysis, skill assessment, and healthcare…
DynamicPAE: Generating Scene-Aware Physical Adversarial Examples in Real-Time
Jin Hu, Xianglong Liu, Jiakai Wang +5
Physical adversarial examples (PAEs) are regarded as whistle-blowers of real-world risks in deep-learning applications, thus worth further investigation. However, current PAE gener…
Remote Sensing SpatioTemporal Vision-Language Models: A Comprehensive Survey
Chenyang Liu, Jiafan Zhang, Keyan Chen +3
The interpretation of multi-temporal remote sensing imagery is critical for monitoring Earth's dynamic processes-yet previous change detection methods, which produce binary or sema…
TEXGen: a Generative Diffusion Model for Mesh Textures
Xin Yu, Ze Yuan, Yuan-Chen Guo +6
While high-quality texture maps are essential for realistic 3D asset rendering, few studies have explored learning directly in the texture space, especially on large-scale datasets…
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
Tianyuan Zhang, Lu Wang, Xinwei Zhang +7
Vision-language models (VLMs) have significantly advanced autonomous driving (AD) by enhancing reasoning capabilities. However, these models remain highly vulnerable to adversarial…