Search Results - "Cai, Jintong"

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  1. 1

    Joint Semantic-Instance Segmentation Method for Intelligent Transportation System by Li, Yujie, Cai, Jintong, Zhou, Quan, Lu, Huimin

    “…Getting the point cloud data from sensors and correctly understanding the scene is the core of the intelligent transportation system. Point cloud segmentation…”
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    Journal Article
  2. 2

    Point cloud classification network based on self-attention mechanism by Li, Yujie, Cai, Jintong

    Published in Computers & electrical engineering (01-12-2022)
    “…PointNet makes it possible to process point cloud data directly. However, PointNet only extracts global features and cannot capture fine local features. How to…”
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    Journal Article
  3. 3

    Realtime single-stage instance segmentation network based on anchors by Cai, Jintong, Li, Yujie

    Published in Computers & electrical engineering (01-10-2021)
    “…•Propose an instance segmentation method uses a single-stage detector.•Set anchors of different sizes on multi-scale feature maps.•Disassemble the instance…”
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    Journal Article
  4. 4

    Image Segmentation With Language Referring Expression and Comprehension by Sun, Jiaxing, Li, Yujie, Cai, Jintong, Lu, Huimin, Serikawa, Seiichi

    Published in IEEE sensors journal (15-09-2022)
    “…Image segmentation with language referring expression can complete object segmentation based on expression text. Existing image segmentation methods show good…”
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    Journal Article
  5. 5

    Single shot multibox detector for honeybee detection by Cai, Jintong, Makita, Yugo, Zheng, Yuchao, Takahashi, Shiya, Hao, Weiyu, Nakatoh, Yoshihisa

    Published in Computers & electrical engineering (01-12-2022)
    “…In recent years, deep learning has made great strides in automatic feature extraction through learning. Our target is to operate computers to analyze honeybee…”
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    Journal Article
  6. 6

    NeRF-based Multi-View Synthesis Techniques: A Survey by Cai, Jintong, Lu, Huimin

    “…In recent years, with the continuous advancement of deep learning technology, the field of computer graphics has begun to use Neural Radiance Fields (NeRF)…”
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    Conference Proceeding
  7. 7

    Robotic Grasp Detection for Parallel Grippers: A Review by Yin, Zhiyun, Li, Yujie, Cai, Jintong, Lu, Huimin

    “…With the continuous progress of robot grasping technology, the application of robots in industrial applications is promoted. However, reliable grasping of any…”
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    Conference Proceeding