Huawei Technologies (Canada)

🇨🇦 CA

论文数

17

总引用数

590

H-Index

7

研究人员

27

关于

暂无简介。

研究焦点

Artificial intelligence17 · 590 次引用
Computer science17 · 590 次引用
Segmentation6 · 455 次引用
Pattern recognition (psychology)4 · 298 次引用
Feature (linguistics)2 · 293 次引用
Machine learning6 · 260 次引用
Computer vision8 · 248 次引用
Benchmark (surveying)2 · 247 次引用
Feature extraction1 · 244 次引用
Point cloud4 · 196 次引用

主要成就

7
H 指数
17
论文
590
总引用数
27
教职员与研究人员
🏆 最高被引论文
(AF)<sup>2</sup>-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
244 次引用 · 2021
📊 篇均引用: 35
📈 最高产年份: 2021 (5)
🔬 研究焦点: Artificial intelligence, Computer science, Segmentation, Pattern recognition (psychology), Feature (linguistics), Machine learning

代表论文

  1. 1
    (AF)<sup>2</sup>-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
    244 次引用 · 2021
  2. 2
    TORNADO-Net: mulTiview tOtal vaRiatioN semAntic segmentation with Diamond inceptiOn module
    74 次引用 · 2021
  3. 3
    Mapless Navigation among Dynamics with Social-safety-awareness: a reinforcement learning approach from 2D laser scans
    71 次引用 · 2020
  4. 4
    Lite-HDSeg: LiDAR Semantic Segmentation Using Lite Harmonic Dense Convolutions
    70 次引用 · 2021
  5. 5
    S3Net: 3D LiDAR Sparse Semantic Segmentation Network
    49 次引用 · 2021
  6. 6
    Placing Sensors for Area Coverage in a Complex Environment by a Team of Robots
    33 次引用 · 2014
  7. 7
    Understanding Strengths and Weaknesses of Complementary Sensor Modalities in Early Fusion for Object Detection
    15 次引用 · 2020
  8. 8
    Deep Reinforcement Learning for Joint User Association and Resource Allocation in Factory Automation
    6 次引用 · 2022
  9. 9
    Bringing Robots Home: The Rise of AI Robots in Consumer Electronics
    5 次引用 · 2024
  10. 10
    Offline Learning of Counterfactual Predictions for Real-World Robotic Reinforcement Learning
    5 次引用 · 2022

教职员与研究人员

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