Search Results - "Yingwei Pan"

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  1. 1

    X-Linear Attention Networks for Image Captioning by Pan, Yingwei, Yao, Ting, Li, Yehao, Mei, Tao

    “…Recent progress on fine-grained visual recognition and visual question answering has featured Bilinear Pooling, which effectively models the 2nd order…”
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    Conference Proceeding
  2. 2

    Boosting Image Captioning with Attributes by Ting Yao, Yingwei Pan, Yehao Li, Zhaofan Qiu, Tao Mei

    “…Automatically describing an image with a natural language has been an emerging challenge in both fields of computer vision and natural language processing. In…”
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    Conference Proceeding
  3. 3

    Video Captioning with Transferred Semantic Attributes by Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei

    “…Automatically generating natural language descriptions of videos plays a fundamental challenge for computer vision community. Most recent progress in this…”
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    Conference Proceeding
  4. 4

    Jointly Modeling Embedding and Translation to Bridge Video and Language by Yingwei Pan, Tao Mei, Ting Yao, Houqiang Li, Yong Rui

    “…Automatically describing video content with natural language is a fundamental challenge of computer vision. Re-current Neural Networks (RNNs), which models…”
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    Conference Proceeding
  5. 5

    A single-cell atlas of the multicellular ecosystem of primary and metastatic hepatocellular carcinoma by Lu, Yiming, Yang, Aiqing, Quan, Cheng, Pan, Yingwei, Zhang, Haoyun, Li, Yuanfeng, Gao, Chengming, Lu, Hao, Wang, Xueting, Cao, Pengbo, Chen, Hongxia, Lu, Shichun, Zhou, Gangqiao

    Published in Nature communications (06-08-2022)
    “…Hepatocellular carcinoma (HCC) represents a paradigm of the relation between tumor microenvironment (TME) and tumor development. Here, we generate a…”
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    Journal Article
  6. 6

    Incorporating Copying Mechanism in Image Captioning for Learning Novel Objects by Ting Yao, Yingwei Pan, Yehao Li, Tao Mei

    “…Image captioning often requires a large set of training image-sentence pairs. In practice, however, acquiring sufficient training pairs is always expensive,…”
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    Conference Proceeding
  7. 7

    Open versus laparoscopic hepatic resection for hepatocellular carcinoma: a systematic review and meta-analysis by Xiangfei, Meng, Yinzhe, Xu, Yingwei, Pan, Shichun, Lu, Weidong, Duan

    Published in Surgical endoscopy (01-08-2019)
    “…Background Several studies have been conducted comparing laparoscopic liver resection (LLR) versus open liver resection (OLR) for hepatocellular carcinoma…”
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    Journal Article
  8. 8

    Semi-supervised Domain Adaptation with Subspace Learning for visual recognition by Ting Yao, Yingwei Pan, Chong-Wah Ngo, Houqiang Li, Tao Mei

    “…In many real-world applications, we are often facing the problem of cross domain learning, i.e., to borrow the labeled data or transfer the already learnt…”
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    Conference Proceeding
  9. 9

    The positive side of stress: Investigating the impact of challenge stressors on innovative behavior in higher education by Xu, Yihai, Liao, Caisheng, Huang, Lijun, Li, Zhao, Xiao, Huiqing, Pan, Yingwei

    Published in Acta psychologica (01-06-2024)
    “…Stress can be a double-edged sword. Given the intricacy of the innovation process, the link between job stress and individual innovation behavior remains…”
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    Journal Article
  10. 10

    A basic understanding of congenital extrahepatic portosystemic shunt: incidence, mechanism, complications, diagnosis, and treatment by Tang, Haowen, Song, Peipei, Wang, Zhiqiang, Han, Bing, Meng, Xiangfei, Pan, Yingwei, Meng, Xuan, Duan, Weidong

    Published in Intractable & Rare Diseases Research (31-05-2020)
    “…Extrahepatic portosystemic shunt belongs to a family of rare vascular abnormalities. The clinical importance and manifestations of this vascular abnormality…”
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    Journal Article
  11. 11

    Contextual Transformer Networks for Visual Recognition by Li, Yehao, Yao, Ting, Pan, Yingwei, Mei, Tao

    “…Transformer with self-attention has led to the revolutionizing of natural language processing field, and recently inspires the emergence of Transformer-style…”
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    Journal Article
  12. 12

    Hierarchy Parsing for Image Captioning by Yao, Ting, Pan, Yingwei, Li, Yehao, Mei, Tao

    “…It is always well believed that parsing an image into constituent visual patterns would be helpful for understanding and representing an image. Nevertheless,…”
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    Conference Proceeding
  13. 13

    Memory Matching Networks for One-Shot Image Recognition by Cai, Qi, Pan, Yingwei, Yao, Ting, Yan, Chenggang, Mei, Tao

    “…In this paper, we introduce the new ideas of augmenting Convolutional Neural Networks (CNNs) with Memory and learning to learn the network parameters for the…”
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    Conference Proceeding
  14. 14

    Jointly Localizing and Describing Events for Dense Video Captioning by Li, Yehao, Yao, Ting, Pan, Yingwei, Chao, Hongyang, Mei, Tao

    “…Automatically describing a video with natural language is regarded as a fundamental challenge in computer vision. The problem nevertheless is not trivial…”
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    Conference Proceeding
  15. 15

    Transferrable Prototypical Networks for Unsupervised Domain Adaptation by Pan, Yingwei, Yao, Ting, Li, Yehao, Wang, Yu, Ngo, Chong-Wah, Mei, Tao

    “…In this paper, we introduce a new idea for unsupervised domain adaptation via a remold of Prototypical Networks, which learn an embedding space and perform…”
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    Conference Proceeding
  16. 16

    HIRI-ViT: Scaling Vision Transformer With High Resolution Inputs by Yao, Ting, Li, Yehao, Pan, Yingwei, Mei, Tao

    “…The hybrid deep models of Vision Transformer (ViT) and Convolution Neural Network (CNN) have emerged as a powerful class of backbones for vision tasks. Scaling…”
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    Journal Article
  17. 17

    Comprehending and Ordering Semantics for Image Captioning by Li, Yehao, Pan, Yingwei, Yao, Ting, Mei, Tao

    “…Comprehending the rich semantics in an image and ordering them in linguistic order are essential to compose a visually-grounded and linguistically coherent…”
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    Conference Proceeding
  18. 18

    Dual Vision Transformer by Yao, Ting, Li, Yehao, Pan, Yingwei, Wang, Yu, Zhang, Xiao-Ping, Mei, Tao

    “…Recent advances have presented several strategies to mitigate the computations of self-attention mechanism with high-resolution inputs. Many of these works…”
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    Journal Article
  19. 19

    Exploring Object Relation in Mean Teacher for Cross-Domain Detection by Cai, Qi, Pan, Yingwei, Ngo, Chong-Wah, Tian, Xinmei, Duan, Lingyu, Yao, Ting

    “…Rendering synthetic data (e.g., 3D CAD-rendered images) to generate annotations for learning deep models in vision tasks has attracted increasing attention in…”
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    Conference Proceeding
  20. 20

    Relation Distillation Networks for Video Object Detection by Deng, Jiajun, Pan, Yingwei, Yao, Ting, Zhou, Wengang, Li, Houqiang, Mei, Tao

    “…It has been well recognized that modeling object-to-object relations would be helpful for object detection. Nevertheless, the problem is not trivial especially…”
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    Conference Proceeding