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Creators/Authors contains: "Cai, Ruojin"

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  1. ; ; ; ; (, Computer Vision and Pattern Recognition (CVPR))
    Visual aliasing, or doppelgangers, poses severe challenges to 3D reconstruction. We propose Doppelganger++, an enhanced pairwise image classifier that excels in visual disambiguation across diverse and challenging scenes. We seamlessly integrate Doppelganger++ into SfM, successfully disambiguating each scene. (Middle) Compared to prior work (which we refer to as DG-OG), Doppelgangers++ is more robust for everyday scenes, showing improved accuracy and robustness. We show pairs that DG-OG classifies incorrectly and ours gets correct. Our new VisymScenes dataset, featuring complex daily scenes, is particularly challenging for COLMAP and DG-OG, but our method can achieve correct and complete reconstructions. 
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    Free, publicly-accessible full text available June 9, 2026
  2. ; ; ; ; ; ; ; (, Springer Nature Switzerland)
    Free, publicly-accessible full text available November 3, 2025
  3. ; ; ; ; ; ; ; (, European Conference on Computer Vision)
    Accepted Manuscript Full Text Available
  4. ; ; ; ; ; (, Proceedings)
    Full Text Available 
  5. ; ; ; (, IEEE Conference on Computer Vision and Pattern Recognition)
    null (Ed.)
    Accepted Manuscript Full Text Available