Search Results - "Yilei, Xu"

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  1. 1

    Comparative physiological analyses and the genetic basis reveal heat stress responses mechanism among different Betula luminifera populations by Hu, Xian-Ge, Xu, Yilei, Shen, Ning, Liu, Mingtong, Zhuang, Hebi, Borah, Priyanka, Tong, Zaikang, Lin, Erpei, Huang, Huahong

    Published in Frontiers in plant science (23-09-2022)
    “…Betula luminifera is a subtropical fast-growing timber species with high economic value. However, along with global warming, heat stress become one of the main…”
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    Journal Article
  2. 2

    Integrating Motion, Illumination, and Structure in Video Sequences with Applications in Illumination-Invariant Tracking by Yilei Xu, Yilei Xu, Roy-Chowdhury, A.K

    “…In this paper, we present a theory for combining the effects of motion, illumination, 3D structure, albedo, and camera parameters in a sequence of images…”
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    Journal Article
  3. 3

    Increased Significance of Global Concurrent Hazards From 1981 to 2020 by Xu, Yilei, Dai, Qiang, Zhu, Jingxuan, Yao, Yuanzhi, Zhang, Jun, Li, Wenhui, Zhu, Shaonan, Zeng, Tongxiao, Xu, Yecheng, Han, Dawei

    Published in Earth's future (01-09-2024)
    “…The spatiotemporal overlap of multiple hazards defines what we call concurrent hazards, which usually cause more severe damage than what an isolated hazard…”
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    Journal Article
  4. 4

    Inverse Compositional Estimation of 3D Pose And Lighting in Dynamic Scenes by Xu, Yilei, Roy-Chowdhury, Amit

    “…In this paper, we show how we can estimate, accurately and efficiently, the 3D motion of a rigid object and time-varying lighting in a dynamic scene. This is…”
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    Journal Article
  5. 5

    A Physics-Based Analysis of Image Appearance Models by Yilei Xu, Roy-Chowdhury, A K

    “…Linear and multilinear models (PCA, 3DMM, AAM/ASM, and multilinear tensors) of object shape/appearance have been very popular in computer vision. In this…”
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    Journal Article
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    Integrating Illumination, Motion, and Shape Models for Robust Face Recognition in Video by Xu, Yilei, Roy-Chowdhury, Amit, Patel, Keyur

    “…The use of video sequences for face recognition has been relatively less studied compared to image-based approaches. In this paper, we present an…”
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    Journal Article
  8. 8

    Unified Transformer Tracker for Object Tracking by Ma, Fan, Shou, Mike Zheng, Zhu, Linchao, Fan, Haoqi, Xu, Yilei, Yang, Yi, Yan, Zhicheng

    “…As an important area in computer vision, object tracking has formed two separate communities that respectively study Single Object Tracking (SOT) and Multiple…”
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    Conference Proceeding
  9. 9

    Pose and Illumination Invariant Face Recognition in Video by Yilei Xu, Roy-Chowdhury, A., Patel, K.

    “…The use of video sequences for face recognition has been relatively less studied than image-based approaches. In this paper, we present a framework for face…”
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    Conference Proceeding
  10. 10

    Learning a geometry integrated image appearance manifold from a small training set by Yilei Xu, Roy-Chowdhury, A.K.

    “…While low-dimensional image representations have been very popular in computer vision, they suffer from two limitations: (i) they require collecting a large…”
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    Conference Proceeding
  11. 11

    A theoretical analysis of linear and multi-linear models of image appearance by Yilei Xu, Roy-Chowdhury, A.K.

    “…Linear and multi-linear models of object shape/appearance (PCA, 3 DMM, AAM/ASM, multilinear tensors) have been very popular in computer vision. In this paper,…”
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    Conference Proceeding
  12. 12

    Efficient motion estimation under varying illumination by Yilei Xu, Roy-Chowdhury, A.K.

    “…In this paper, we show how to estimate, accurately and efficiently, the 3D motion of a rigid or non-rigid object, and time-varying lighting in a dynamic scene…”
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    Conference Proceeding
  13. 13

    Super-Resolved Facial Texture Under Changing Pose and Illumination by Jiangang Yu, Bir Bhanu, Yilei Xu, Roy-Chowdhury, A.K.

    “…In this paper, we propose a method to incrementally super-resolve 3D facial texture by integrating information frame by frame from a video captured under…”
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    Conference Proceeding
  14. 14

    Modeling Time-Varying Illumination Patterns in Video by Yilei Xu, Roy-Chowdhury, A.K.

    “…Recreating the temporal illumination variations of natural scenes has great potential for realistic synthesis of video sequences. In this paper, we present a…”
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    Conference Proceeding
  15. 15

    Characteristics and Source Apportionment of Volatile Organic Compounds in a Coastal Industrial Area: A Case Study in the Yangtze River Delta of China by Chen, Yunbo, Ling, Yufei, Liu, Fengwei, Tong, Lei, Yang, Mengrong, Shi, Yasheng, Xue, Yuan, Ye, Haiyun, Xu, Yilei, Huang, Cenyan, Xiao, Hang

    “…In recent years, the coastal area in East China has experienced elevated volatile organic compounds (VOCs) levels during specific periods. VOCs have become one…”
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    Journal Article
  16. 16

    Integrating the effects of motion, illumination and structure in video sequences by Yilei Xu, Roy-Chowdhury, A.K.

    “…Most work in computer vision has concentrated on studying the individual effect of motion and illumination on a 3D object. In this paper, we present a theory…”
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    Conference Proceeding
  17. 17

    The joint illumination and motion space of video sequences by Yilei Xu, Roy-Chowdhury, A.K.

    “…It has been proved that the set of all Lambertian reflectance functions obtained with arbitrarily distant light sources lies close to a 9D linear subspace. We…”
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    Conference Proceeding
  18. 18

    Learning Illumination Models While Tracking by Yilei Xu, Roy-Chowdhury, A.K.

    “…In this paper we present a method for estimation of 3D motion of a rigid object from a video sequence, while simultaneously learning the parameters of an…”
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    Conference Proceeding
  19. 19

    Integrating Motion and Illumination Models for 3D Tracking by Roy-Chowdhury, A.K., Yilei Xu

    “…One of the persistent challenges in computer vision has been tracking objects under varying lighting conditions. In this paper we present a method for…”
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    Conference Proceeding
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