Search Results - "Deng, Fan"

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  1. 1

    Salient Object Detection via Integrity Learning by Zhuge, Mingchen, Fan, Deng-Ping, Liu, Nian, Zhang, Dingwen, Xu, Dong, Shao, Ling

    “…Although current salient object detection (SOD) works have achieved significant progress, they are limited when it comes to the integrity of the predicted…”
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    Journal Article
  2. 2

    Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks by Fan, Deng-Ping, Lin, Zheng, Zhang, Zhao, Zhu, Menglong, Cheng, Ming-Ming

    “…The use of RGB-D information for salient object detection (SOD) has been extensively explored in recent years. However, relatively few efforts have been put…”
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    Journal Article
  3. 3

    Inf-Net: Automatic COVID-19 Lung Infection Segmentation From CT Images by Fan, Deng-Ping, Zhou, Tao, Ji, Ge-Peng, Zhou, Yi, Chen, Geng, Fu, Huazhu, Shen, Jianbing, Shao, Ling

    Published in IEEE transactions on medical imaging (01-08-2020)
    “…Coronavirus Disease 2019 (COVID-19) spread globally in early 2020, causing the world to face an existential health crisis. Automated detection of lung…”
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    Journal Article
  4. 4

    Siamese Network for RGB-D Salient Object Detection and Beyond by Fu, Keren, Fan, Deng-Ping, Ji, Ge-Peng, Zhao, Qijun, Shen, Jianbing, Zhu, Ce

    “…Existing RGB-D salient object detection (SOD) models usually treat RGB and depth as independent information and design separate networks for feature extraction…”
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    Journal Article
  5. 5

    Structure-Measure: A New Way to Evaluate Foreground Maps by Cheng, Ming-Ming, Fan, Deng-Ping

    Published in International journal of computer vision (01-09-2021)
    “…Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the field of salient object detection where…”
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    Journal Article
  6. 6

    Concealed Object Detection by Fan, Deng-Ping, Ji, Ge-Peng, Cheng, Ming-Ming, Shao, Ling

    “…We present the first systematic study on concealed object detection (COD), which aims to identify objects that are visually embedded in their background. The…”
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    Journal Article
  7. 7

    PVT v2: Improved baselines with Pyramid Vision Transformer by Wang, Wenhai, Xie, Enze, Li, Xiang, Fan, Deng-Ping, Song, Kaitao, Liang, Ding, Lu, Tong, Luo, Ping, Shao, Ling

    Published in Computational visual media (Beijing) (01-09-2022)
    “…Transformers have recently lead to encouraging progress in computer vision. In this work, we present new baselines by improving the original Pyramid Vision…”
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    Journal Article
  8. 8

    Uncertainty Inspired RGB-D Saliency Detection by Zhang, Jing, Fan, Deng-Ping, Dai, Yuchao, Anwar, Saeed, Saleh, Fatemeh, Aliakbarian, Sadegh, Barnes, Nick

    “…We propose the first stochastic framework to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing RGB-D…”
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    Journal Article
  9. 9

    Structure-Measure: A New Way to Evaluate Foreground Maps by Deng-Ping Fan, Ming-Ming Cheng, Yun Liu, Tao Li, Borji, Ali

    “…Foreground map evaluation is crucial for gauging the progress of object segmentation algorithms, in particular in the field of salient object detection where…”
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    Conference Proceeding
  10. 10

    Shifting More Attention to Video Salient Object Detection by Fan, Deng-Ping, Wang, Wenguan, Cheng, Ming-Ming, Shen, Jianbing

    “…The last decade has witnessed a growing interest in video salient object detection (VSOD). However, the research community long-term lacked a well-established…”
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    Conference Proceeding
  11. 11

    Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions by Wang, Wenhai, Xie, Enze, Li, Xiang, Fan, Deng-Ping, Song, Kaitao, Liang, Ding, Lu, Tong, Luo, Ping, Shao, Ling

    “…Although convolutional neural networks (CNNs) have achieved great success in computer vision, this work investigates a simpler, convolution-free backbone…”
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    Conference Proceeding
  12. 12

    Bilateral Attention Network for RGB-D Salient Object Detection by Zhang, Zhao, Lin, Zheng, Xu, Jun, Jin, Wen-Da, Lu, Shao-Ping, Fan, Deng-Ping

    “…RGB-D salient object detection (SOD) aims to segment the most attractive objects in a pair of cross-modal RGB and depth images. Currently, most existing RGB-D…”
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    Journal Article
  13. 13

    JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation by Wu, Yu-Huan, Gao, Shang-Hua, Mei, Jie, Xu, Jun, Fan, Deng-Ping, Zhang, Rong-Guo, Cheng, Ming-Ming

    “…Recently, the coronavirus disease 2019 (COVID-19) has caused a pandemic disease in over 200 countries, influencing billions of humans. To control the…”
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    Journal Article
  14. 14

    Bifurcated Backbone Strategy for RGB-D Salient Object Detection by Zhai, Yingjie, Fan, Deng-Ping, Yang, Jufeng, Borji, Ali, Shao, Ling, Han, Junwei, Wang, Liang

    “…Multi-level feature fusion is a fundamental topic in computer vision. It has been exploited to detect, segment and classify objects at various scales. When…”
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    Journal Article
  15. 15

    JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection by Fu, Keren, Fan, Deng-Ping, Ji, Ge-Peng, Zhao, Qijun

    “…This paper proposes a novel joint learning and densely-cooperative fusion (JL-DCF) architecture for RGB-D salient object detection. Existing models usually…”
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    Conference Proceeding
  16. 16

    Re-Thinking Co-Salient Object Detection by Fan, Deng-Ping, Li, Tengpeng, Lin, Zheng, Ji, Ge-Peng, Zhang, Dingwen, Cheng, Ming-Ming, Fu, Huazhu, Shen, Jianbing

    “…In this article, we conduct a comprehensive study on the co-salient object detection (CoSOD) problem for images. CoSOD is an emerging and rapidly growing…”
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    Journal Article
  17. 17

    RGB-D salient object detection: A survey by Zhou, Tao, Fan, Deng-Ping, Cheng, Ming-Ming, Shen, Jianbing, Shao, Ling

    Published in Computational visual media (Beijing) (01-03-2021)
    “…Salient object detection, which simulates human visual perception in locating the most significant object(s) in a scene, has been widely applied to various…”
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    Journal Article
  18. 18

    Toward Deeper Understanding of Camouflaged Object Detection by Lv, Yunqiu, Zhang, Jing, Dai, Yuchao, Li, Aixuan, Barnes, Nick, Fan, Deng-Ping

    “…Preys in the wild evolve to be camouflaged to avoid being recognized by predators. In this way, camouflage acts as a key defence mechanism across species that…”
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    Journal Article
  19. 19

    UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders by Zhang, Jing, Fan, Deng-Ping, Dai, Yuchao, Anwar, Saeed, Saleh, Fatemeh Sadat, Zhang, Tong, Barnes, Nick

    “…In this paper, we propose the first framework (UCNet) to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing…”
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    Conference Proceeding
  20. 20

    Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection by Yang, Fan, Zhai, Qiang, Li, Xin, Huang, Rui, Luo, Ao, Cheng, Hong, Fan, Deng-Ping

    “…Spotting objects that are visually adapted to their surroundings is challenging for both humans and AI. Conventional generic / salient object detection…”
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    Conference Proceeding