Search Results - Edstedt, Johan

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  1. 1
    Steerers: A Framework for Rotation Equivariant Keypoint Descriptors

    Steerers: A Framework for Rotation Equivariant Keypoint Descriptors by Bokman, Georg, Edstedt, Johan, Felsberg, Michael, Kahl, Fredrik

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  2. 2
    Leveraging the Power of Data Augmentation for Transformer-based Tracking

    Leveraging the Power of Data Augmentation for Transformer-based Tracking by Zhao, Jie, Edstedt, Johan, Felsberg, Michael, Wang, Dong, Lu, Huchuan

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  3. 3
    VidHarm: A Clip Based Dataset for Harmful Content Detection

    VidHarm: A Clip Based Dataset for Harmful Content Detection by Edstedt, Johan, Berg, Amanda, Felsberg, Michael, Karlsson, Johan, Benavente, Francisca, Novak, Anette, Pihlgren, Gustav Grund

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  4. 4
    Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images

    Leveraging Cutting Edge Deep Learning Based Image Matching for Reconstructing a Large Scene from Sparse Images by Bökman, Georg, Edstedt, Johan

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  5. 5
    DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector

    DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector by Edstedt, Johan, Bokman, Georg, Zhao, Zhenjun

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  6. 6
    DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching

    DeDoDe: Detect, Don't Describe - Describe, Don't Detect for Local Feature Matching by Edstedt, Johan, Bokman, Georg, Wadenback, Marten, Felsberg, Michael

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  7. 7
    RoMa: Robust Dense Feature Matching

    RoMa: Robust Dense Feature Matching by Edstedt, Johan, Sun, Qiyu, Bokman, Georg, Wadenback, Marten, Felsberg, Michael

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  8. 8
    DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector

    DeDoDe v2: Analyzing and Improving the DeDoDe Keypoint Detector by Edstedt, Johan, Bökman, Georg, Zhao, Zhenjun

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  9. 9
    Camera Calibration without Camera Access -- A Robust Validation Technique for Extended PnP Methods

    Camera Calibration without Camera Access -- A Robust Validation Technique for Extended PnP Methods by Brissman, Emil, Per-Erik Forssén, Edstedt, Johan

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  10. 10
    Affine steerers for structured keypoint description

    Affine steerers for structured keypoint description by Bökman, Georg, Edstedt, Johan, Felsberg, Michael, Kahl, Fredrik

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  11. 11
    Steerers: A framework for rotation equivariant keypoint descriptors

    Steerers: A framework for rotation equivariant keypoint descriptors by Bökman, Georg, Edstedt, Johan, Felsberg, Michael, Kahl, Fredrik

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  12. 12
    DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matching

    DeDoDe: Detect, Don't Describe -- Describe, Don't Detect for Local Feature Matching by Edstedt, Johan, Bökman, Georg, Wadenbäck, Mårten, Felsberg, Michael

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  13. 13
    RoMa: Robust Dense Feature Matching

    RoMa: Robust Dense Feature Matching by Edstedt, Johan, Sun, Qiyu, Bökman, Georg, Wadenbäck, Mårten, Felsberg, Michael

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  14. 14
    Leveraging the Power of Data Augmentation for Transformer-based Tracking

    Leveraging the Power of Data Augmentation for Transformer-based Tracking by Zhao, Jie, Edstedt, Johan, Felsberg, Michael, Wang, Dong, Lu, Huchuan

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  15. 15
    DKM: Dense Kernelized Feature Matching for Geometry Estimation

    DKM: Dense Kernelized Feature Matching for Geometry Estimation by Edstedt, Johan, Athanasiadis, Ioannis, Wadenbäck, Mårten, Felsberg, Michael

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  16. 16
    GMSF: Global Matching Scene Flow

    GMSF: Global Matching Scene Flow by Zhang, Yushan, Edstedt, Johan, Wandt, Bastian, Per-Erik Forssén, Magnusson, Maria, Felsberg, Michael

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  17. 17
    VidHarm: A Clip Based Dataset for Harmful Content Detection

    VidHarm: A Clip Based Dataset for Harmful Content Detection by Edstedt, Johan, Berg, Amanda, Felsberg, Michael, Karlsson, Johan, Benavente, Francisca, Novak, Anette, Gustav Grund Pihlgren

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  18. 18
    Dense Gaussian Processes for Few-Shot Segmentation

    Dense Gaussian Processes for Few-Shot Segmentation by Johnander, Joakim, Edstedt, Johan, Felsberg, Michael, Fahad Shahbaz Khan, Danelljan, Martin

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  19. 19
    From 2D to 3D: AISG-SLA Visual Localization Challenge

    From 2D to 3D: AISG-SLA Visual Localization Challenge by Gao, Jialin, Ong, Bill, Lwi, Darld, Zhen Hao Ng, Xun Wei Yee, Mun-Thye Mak, Ng, Wee Siong, See-Kiong Ng, Teo, Hui Ying, Khoo, Victor, Bökman, Georg, Edstedt, Johan, Brodt, Kirill, Boittiaux, Clémentin, Ferrera, Maxime, Konev, Stepan

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  20. 20
    Deep Gaussian Processes for Few-Shot Segmentation

    Deep Gaussian Processes for Few-Shot Segmentation by Johnander, Joakim, Edstedt, Johan, Danelljan, Martin, Felsberg, Michael, Fahad Shahbaz Khan

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