全部 |
  • 全部
  • 题名
  • 作者
  • 机构
  • 关键词
  • NSTL主题词
  • 摘要
检索 二次检索 AI检索
外文文献 中文文献
筛选条件:

1. Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds NSTL国家科技图书文献中心

Hanwei Zhang |  Luo Cheng... -  《Dependable Software Engineering》 -  International Symposium on Dependable Software Engineering: Theories,Tools,and Applications - 2025, - 310~326 - 共17页

摘要:Classification of 3D point clouds is a |  3D pOint cloudS. Eidos supports a diverse set of |  popular 3D point cloud classification models and several |  challenging machine learning (ML) task with important real | -world applications in a spectrum from autonomous
关键词: Adversarial attack |  3D point clouds |  Robustness

2. SEED: A Simple and Effective 3D DETR in Point Clouds NSTL国家科技图书文献中心

Zhe Liu |  Jinghua Hou... -  《Computer Vision - ECCV 2024,Part XI》 -  European Conference on Computer Vision - 2025, - 110~126 - 共17页

摘要: detectors for 3D point clouds are still difficult to |  and uneven distribution of point clouds; 2) How to |  rich geometric structure of point clouds is not fully |  point clouds, which involves a dual query selection | Recently, detection transformers (DETRs) have
关键词: Point clouds |  3D object detection |  Detection transformers

3. EIA: Edge-Aware Imperceptible Adversarial Attacks on 3D Point Clouds NSTL国家科技图书文献中心

Zhensu Wang |  Weilong Peng... -  《MultiMedia Modeling,Part I》 -  International Conference on MultiMedia Modeling - 2025, - 348~361 - 共14页

摘要:Adversarial attacks on point clouds are |  Attacks on 3D Point Clouds (EIA). EIA first identifies |  edges of the point clouds by detecting locations where |  typically apply perturbations to all points on the point |  point geometric and semantic features exhibit abrupt
关键词: Adversarial attacks |  Point clouds |  Deep neural networks

4. FLAT: Flux-Aware Imperceptible Adversarial Attacks on 3D Point Clouds NSTL国家科技图书文献中心

Keke Tang |  Lujie Huang... -  《Computer Vision - ECCV 2024,Part VI》 -  European Conference on Computer Vision - 2025, - 198~215 - 共18页

摘要:Adversarial attacks on point clouds play a |  point clouds by addressing the issue from a flux |  imperceptible adversarial point clouds, and its superiority to |  vital role in assessing and enhancing the adversarial |  robustness of 3D deep learning models. While employing a
关键词: Adversarial attacks |  Point clouds |  Imperceptibility |  Flux

5. Review of denoising algorithms for ICESat-2 photon point clouds NSTL国家科技图书文献中心

Danyang Cao |  Ying Yang... -  《Sixth International Conference on Geoscience and Remote Sensing Mapping (GRSM 2024),Part Two of Two Parts》 -  International Conference on Geoscience and Remote Sensing Mapping - 2025, - 1350627.1~1350627.5 - 共5页

摘要: effective removal of noise from photon point clouds is a |  ICESat-2 photon point cloud data, evaluates the | Launched by NASA in 2018, ICESat-2 is a next | -generation laser altimetry satellite equipped with the |  Advanced Topographic Laser Altimeter System (ATLAS
关键词: ICESat-2 |  ATLAS |  Denoising algorithms |  Photon point clouds

6. FedDeSnowNet: Federated De-snowing Network for LiDAR Point Clouds NSTL国家科技图书文献中心

Zhiyu Fang |  Boyang Li... -  《Network and Parallel Computing,Part II》 -  IFIP WG 10.3 International Conference on Network and Parallel Computing - 2025, - 140~152 - 共13页

摘要: federated de-snowing method for Lidar point clouds. In | Although Light Detection and Ranging (Lidar | ) is widely utilized in the intelligent |  transportation systems, the susceptibility to data degradation |  in snowy condition limits the application. Since
关键词: Federated learning |  De-snowing |  Parameter aggregation |  Distributed computing |  Point clouds

7. M3Pose: Multi-Person 3D Pose Estimation Using Sparse Millimeter-Wave Radar Point Clouds NSTL国家科技图书文献中心

Yuexuan Feng |  Songchen Dai... -  《Pattern Recognition and Computer Vision,Part XI》 -  Chinese Conference on Pattern Recognition and Computer Vision - 2025, - 504~517 - 共14页

摘要: lightweight point clouds, which can be obtained from |  of point clouds derived from mmWave radar, stemming |  proposed using sparse mmWave radar point clouds. Firstly | -frame fused point clouds for multi-person separation |  work to use mmWave point clouds for multi-person 3D
关键词: Pose estimation |  MmWave radar |  Point clouds

8. VPFNET: A Scale-Adaptive Voxel Point Fusion Network for Semantic Segmentation of Point Clouds NSTL国家科技图书文献中心

Xiaoyang Wang |  Kaining Cui... -  《Pattern Recognition and Computer Vision,Part X》 -  Chinese Conference on Pattern Recognition and Computer Vision - 2025, - 75~88 - 共14页

摘要:Semantic segmentation for LiDAR point clouds |  original point cloud features, and effectively improve |  the segmentation accuracy. Meanwhile, a point-based |  plays a crucial role in autonomous driving and robotic |  navigation. Currently, voxel-based methods have emerged as
关键词: LiDAR point clouds |  Semantic segmentation |  Autonomous driving

9. Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation NSTL国家科技图书文献中心

Shentong Mo |  Enze Xie... -  《Computer Vision - ECCV 2024,Part LXXXIV》 -  European Conference on Computer Vision - 2025, - 354~370 - 共17页

摘要: point clouds. However, training voxel-based diffusion |  denoising process on masked voxelized point clouds. We |  voxelized point clouds. Our method achieves state-of-the | -resolution voxel point clouds, using only 6.5% of the |  efficient 3D point cloud generation, which greatly reduces
关键词: Diffusion transformers |  Efficient training |  3D point clouds generation

10. A novel method for pothole detection based on incomplete point clouds NSTL国家科技图书文献中心

Zhong, Junkui |  Kong, Deyi... -  《Measurement》 - 2025,252 - 117344.1~117344.11 - 共11页

摘要: incomplete point clouds, addressing the limitations of |  based on the topological structure of point clouds |  dimensions. Traditional point cloud-based detection methods |  require complete point cloud data to be acquired | Potholes present a significant challenge to
关键词: Potholes |  Obstacle detection |  Incomplete point clouds |  Depth camera
检索条件Point clouds

NSTL主题词

  • NSTL学科导航