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1 - 10 of 16 search results for KaKaoTalk:ZA31 24 24 |u:mi.eng.cam.ac.uk where 0 match all words and 16 match some words.

  1. Results that match 2 of 3 words

  2. FootNet: An Efficient Convolutional Network forMultiview 3D Foot…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-CNN-foot-reconstruction.pdf
    28 Jun 2021: 24], expressing changesin foot shape based on 10 PCA parameters. The foot mesh is composed of1602 vertices. ... 2010) 17–22. 6. Precision3D: Fotoscan 3D Foot Scanner. (accessed 24/05/2020) http://www.precision3d.co.uk/fs.htm.

  3. FootNet: An Efficient Convolutional Network forMultiview 3D Foot…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-CNN-foot-reconstruction.pdf
    28 Jun 2021: 24], expressing changesin foot shape based on 10 PCA parameters. The foot mesh is composed of1602 vertices. ... 2010) 17–22. 6. Precision3D: Fotoscan 3D Foot Scanner. (accessed 24/05/2020) http://www.precision3d.co.uk/fs.htm.

  4. Efficient Large-Scale Semantic VisualLocalization in 2D Maps Tomas…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-Large-scale-localization.pdf
    28 Jun 2021: Torii, A., Arandjelović, R., Sivic, J., Okutomi, M., Pajdla, T.: 24/7 place recogni-tion by view synthesis. ... IEEE TPAMI (2011). 24. Sattler, T., Leibe, B., Kobbelt, L.: Fast image-based localization using direct 2D-to-3D matching.

  5. Predicting Semantic Map Representations From Images Using Pyramid…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-CVPR-Predicting-Semantic-Map-Representations.pdf
    28 Jun 2021: weak supervision from stereo [17], weakly-aligned map la-. bels [24] or synth-to-real domain transfer [24, 21]. ... ing and 24 validation sequences captured in two cities, Mi-. ami and Pittsburg, using a range of sensors including seven.

  6. Efficient Large-Scale Semantic VisualLocalization in 2D Maps Tomas…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-Large-scale-localization.pdf
    28 Jun 2021: Torii, A., Arandjelović, R., Sivic, J., Okutomi, M., Pajdla, T.: 24/7 place recogni-tion by view synthesis. ... IEEE TPAMI (2011). 24. Sattler, T., Leibe, B., Kobbelt, L.: Fast image-based localization using direct 2D-to-3D matching.

  7. LOGOTHETIS ET AL.: A CNN BASED APPROACH FOR THE ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-BMVC-CNN-NF-Photometric-Stereo.pdf
    28 Jun 2021: al [25] 15.919 24.85 8.68 16.48 2.98Logothetis et. al [16] 16.07 28.53 6.32 16.97 2.75. ... 24] Y. Quéau and J.-D. Durou. Edge-preserving integration of a normal field:Weighted least squares, TV and L1 approaches.

  8. Who Left the Dogs Out?3D Animal Reconstruction with Expectation ...

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ECCV-3D-dog-reconstruction.pdf
    28 Jun 2021: These include accurate 3Ddeformable template models [23] generated from real human scans, 3D motioncapture datasets [11, 24] and large 2D datasets [22, 12, 4] which provide keypointand silhouette annotations. ... In: Proceedings of the British Machine

  9. Embodied Visual Navigation With Automatic Curriculum Learning in Real …

    mi.eng.cam.ac.uk/~cipolla/publications/article/2021-RA-embodied-visual-navigation.pdf
    28 Jun 2021: Object navigationgoals can be represented with images [19], [22] or semantics [8],[23], [24]. ... 2, APRIL 2021. or as a target label [24]. Language instructions (e.g.

  10. Predicting Semantic Map Representations From Images Using Pyramid…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-CVPR-Predicting-Semantic-Map-Representations.pdf
    28 Jun 2021: weak supervision from stereo [17], weakly-aligned map la-. bels [24] or synth-to-real domain transfer [24, 21]. ... ing and 24 validation sequences captured in two cities, Mi-. ami and Pittsburg, using a range of sensors including seven.

  11. LOGOTHETIS ET AL.: A CNN BASED APPROACH FOR THE ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-BMVC-CNN-NF-Photometric-Stereo.pdf
    28 Jun 2021: al [25] 15.919 24.85 8.68 16.48 2.98Logothetis et. al [16] 16.07 28.53 6.32 16.97 2.75. ... 24] Y. Quéau and J.-D. Durou. Edge-preserving integration of a normal field:Weighted least squares, TV and L1 approaches.

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