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21 - 30 of 37 search results for katalk:PC53 24 / |u:mi.eng.cam.ac.uk where 0 match all words and 37 match some words.

  1. Results that match 1 of 2 words

  2. X-MAN: Explaining multiple sources of anomalies in video Stanislaw ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-CVPR-XMAN-anomaly-detection.pdf
    9 Apr 2022: An alternative approach is using or learningthese feature representations with out of distribution detec-tion algorithms [4, 22, 6], as can be done for anomaly detec-tion [18, 24, 27] or ... Garnett, editors, NIPS, pages 91–99. Curran Associates,Inc.,

  3. Hierarchical Kinematic Probability Distributions for 3D Human Shape…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-3D-human-shape-in-wild.pdf
    9 Apr 2022: 2b A. 3 M = exp(b42. )(4b. )24 repeat5 Sample ϵ N(04, I4)6 y = (1). ... 24] Diederik P Kingma and Max Welling. Auto-encoding varia-tional bayes, 2014.

  4. Probabilistic 3D Human Shape and Pose Estimation From Multiple…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-CVPR-3D-body-shape-in-wild.pdf
    9 Apr 2022: volume 24, pages 408–416, 2005. [3] Anurag Arnab, Carl Doersch, and Andrew Zisserman. ... Conference on Learning Representations (ICLR), 2015. [24] Diederik P. Kingma and Max Welling.

  5. Part IA Computing CourseTutorial Guide to C++ Programming Roberto ...

    mi.eng.cam.ac.uk/~cipolla/resource/tutorial.pdf
    12 Apr 2022: 24. // testing for real solutions to a quadraticd = bb - 4ac;if(d >= 0.0){. //

  6. Scaling digital screen reading with one-shot learning and…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-WACV-scaling-digital-meters.pdf
    9 Apr 2022: Other works have ex-plored using adversarial training to learn how to transfer toa common feature space [24, 16] or adapt synthetic imagesso they look as real as possible [23, 19]. ... In CVPR, 2017. [24] Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor

  7. Paper8-features-matching.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/PartIB/old/2022-IB-Paper8-CV-Features-Matrching.pdf
    26 Apr 2022: outliers in the output of the corner detector. 24 Engineering Part IB: Paper 8 Feature extraction and matching.

  8. Lifted Semantic Graph Embedding for Omnidirectional Place Recognition

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-3DV-omnidirectional-localisation.pdf
    9 Apr 2022: We adapt the graph embeddingnetwork from [24] to learn the graph similarity for imageretrieval. ... 24/7 place recognition by viewsynthesis. In CVPR, pages 1808–1817, 2015. 4321.

  9. R. MECCA ET. AL : LUCES: NEAR-FIELD PHOTOMETRIC STEREO ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-BMVC-LUCES-photometric-stereo-dataset.pdf
    9 Apr 2022: Cup Owl. Queen Squirrel. Bowl Tool. L17-[19] Q18-[27] S20-[32] L20-[17]. 0 6 12 18 24 30. ... SIAM Journal on Imaging Sciences, 7(2):579–612, 2014. doi: 10.1137/120902458. [24] R.

  10. Hierarchical Kinematic Probability Distributions for 3D Human Shape…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-ICCV-3D-human-shape-in-wild.pdf
    9 Apr 2022: 2b A. 3 M = exp(b42. )(4b. )24 repeat5 Sample ϵ N(04, I4)6 y = (1). ... 24] Diederik P Kingma and Max Welling. Auto-encoding varia-tional bayes, 2014.

  11. Probabilistic 3D Human Shape and Pose Estimation From Multiple…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-CVPR-3D-body-shape-in-wild.pdf
    9 Apr 2022: volume 24, pages 408–416, 2005. [3] Anurag Arnab, Carl Doersch, and Andrew Zisserman. ... Conference on Learning Representations (ICLR), 2015. [24] Diederik P. Kingma and Max Welling.

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