Search Results - "Xie, Lingxi"

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  1. 1

    Genetic CNN by Lingxi Xie, Yuille, Alan

    “…The deep convolutional neural network (CNN) is the state-of-the-art solution for large-scale visual recognition. Following some basic principles such as…”
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    Conference Proceeding
  2. 2

    Progressive DARTS: Bridging the Optimization Gap for NAS in the Wild by Chen, Xin, Xie, Lingxi, Wu, Jun, Tian, Qi

    Published in International journal of computer vision (01-03-2021)
    “…With the rapid development of neural architecture search (NAS), researchers found powerful network architectures for a wide range of vision tasks. Like the…”
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    Journal Article
  3. 3

    Conformer: Local Features Coupling Global Representations for Visual Recognition by Peng, Zhiliang, Huang, Wei, Gu, Shanzhi, Xie, Lingxi, Wang, Yaowei, Jiao, Jianbin, Ye, Qixiang

    “…Within Convolutional Neural Network (CNN), the convolution operations are good at extracting local features but experience difficulty to capture global…”
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    Conference Proceeding
  4. 4

    Adversarial Examples for Semantic Segmentation and Object Detection by Cihang Xie, Jianyu Wang, Zhishuai Zhang, Yuyin Zhou, Lingxi Xie, Yuille, Alan

    “…It has been well demonstrated that adversarial examples, i.e., natural images with visually imperceptible perturbations added, cause deep networks to fail on…”
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    Conference Proceeding
  5. 5

    Spatial Pooling of Heterogeneous Features for Image Classification by Xie, Lingxi, Tian, Qi, Wang, Meng, Zhang, Bo

    Published in IEEE transactions on image processing (01-05-2014)
    “…In image classification tasks, one of the most successful algorithms is the bag-of-features (BoFs) model. Although the BoF model has many advantages, such as…”
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    Journal Article
  6. 6

    DisturbLabel: Regularizing CNN on the Loss Layer by Lingxi Xie, Jingdong Wang, Zhen Wei, Meng Wang, Qi Tian

    “…During a long period of time we are combating overfitting in the CNN training process with model regularization, including weight decay, model averaging, data…”
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    Conference Proceeding
  7. 7

    Hierarchical Part Matching for Fine-Grained Visual Categorization by Xie, Lingxi, Tian, Qi, Hong, Richang, Yan, Shuicheng, Zhang, Bo

    “…As a special topic in computer vision, fine-grained visual categorization (FGVC) has been attracting growing attention these years. Different with traditional…”
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    Conference Proceeding Journal Article
  8. 8

    Recurrent Saliency Transformation Network: Incorporating Multi-stage Visual Cues for Small Organ Segmentation by Yu, Qihang, Xie, Lingxi, Wang, Yan, Zhou, Yuyin, Fishman, Elliot K., Yuille, Alan L.

    “…We aim at segmenting small organs (e.g., the pancreas) from abdominal CT scans. As the target often occupies a relatively small region in the input image, deep…”
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    Conference Proceeding
  9. 9

    Fine-Grained Image Search by Xie, Lingxi, Wang, Jingdong, Zhang, Bo, Tian, Qi

    Published in IEEE transactions on multimedia (01-05-2015)
    “…Large-scale image search has been attracting lots of attention from both academic and commercial fields. The conventional bag-of-visual-words (BoVW) model with…”
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    Journal Article
  10. 10

    SIXray: A Large-Scale Security Inspection X-Ray Benchmark for Prohibited Item Discovery in Overlapping Images by Miao, Caijing, Xie, Lingxi, Wan, Fang, Su, Chi, Liu, Hongye, Jiao, Jianbin, Ye, Qixiang

    “…In this paper, we present a large-scale dataset and establish a baseline for prohibited item discovery in Security Inspection X-ray images. Our dataset, named…”
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    Conference Proceeding
  11. 11

    Network Adjustment: Channel and Block Search Guided by Resource Utilization Ratio by Chen, Zhengsu, Xie, Lingxi, Niu, Jianwei, Liu, Xuefeng, Wei, Longhui, Tian, Qi

    Published in International journal of computer vision (01-03-2022)
    “…It is an important problem to design resource-efficient neural architectures. One solution is adjusting the number of channels in each layer and the number of…”
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    Journal Article
  12. 12

    Simple Techniques Make Sense: Feature Pooling and Normalization for Image Classification by Xie, Lingxi, Tian, Qi, Zhang, Bo

    “…Image classification is a fundamental task in computer vision, implying a wide range of challenging problems, such as object recognition, scene understanding,…”
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    Journal Article
  13. 13

    VoxSeP: semi-positive voxels assist self-supervised 3D medical segmentation by Yang, Zijie, Xie, Lingxi, Zhou, Wei, Huo, Xinyue, Wei, Longhui, Lu, Jian, Tian, Qi, Tang, Sheng

    Published in Multimedia systems (01-02-2023)
    “…Medical image segmentation enjoys the advantage of understanding 3D contexts, but 3D networks are prone to over-fitting due to the limited amount of annotated…”
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    Journal Article
  14. 14

    DeepVoting: A Robust and Explainable Deep Network for Semantic Part Detection Under Partial Occlusion by Zhang, Zhishuai, Xie, Cihang, Wang, Jianyu, Xie, Lingxi, Yuille, Alan L.

    “…In this paper, we study the task of detecting semantic parts of an object, e.g., a wheel of a car, under partial occlusion. We propose that all models should…”
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    Conference Proceeding
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  16. 16

    InterActive: Inter-Layer Activeness Propagation by Lingxi Xie, Liang Zheng, Jingdong Wang, Yuille, Alan, Qi Tian

    “…An increasing number of computer vision tasks can be tackled with deep features, which are the intermediate outputs of a pre-trained Convolutional Neural…”
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    Conference Proceeding
  17. 17

    SORT: Second-Order Response Transform for Visual Recognition by Yan Wang, Lingxi Xie, Chenxi Liu, Siyuan Qiao, Ya Zhang, Wenjun Zhang, Qi Tian, Yuille, Alan

    “…In this paper, we reveal the importance and benefits of introducing second-order operations into deep neural networks. We propose a novel approach named…”
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    Conference Proceeding
  18. 18

    Orientational Pyramid Matching for Recognizing Indoor Scenes by Lingxi Xie, Jingdong Wang, Baining Guo, Bo Zhang, Qi Tian

    “…Scene recognition is a basic task towards image understanding. Spatial Pyramid Matching (SPM) has been shown to be an efficient solution for spatial context…”
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    Conference Proceeding
  19. 19

    RIDE: Reversal Invariant Descriptor Enhancement by Xie, Lingxi, Wang, Jingdong, Lin, Weiyao, Zhang, Bo, Tian, Qi

    “…In many fine-grained object recognition datasets, image orientation (left/right) might vary from sample to sample. Since handcrafted descriptors such as SIFT…”
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    Conference Proceeding Journal Article
  20. 20

    Feature normalization for part-based image classification by Lingxi Xie, Qi Tian, Bo Zhang

    “…Part-based Bag-of-Features (BoF) models such as Spatial Pyramid Matching (SPM) play an important role in image classification. Before sending the feature…”
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    Conference Proceeding