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21 - 30 of 37 search results for KaKaoTalk:ZA31 24 24 |u:mi.eng.cam.ac.uk where 0 match all words and 37 match some words.

  1. Results that match 2 of 3 words

  2. 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){. //

  3. 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.

  4. 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.

  5. 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.

  6. solutions2.dvi

    mi.eng.cam.ac.uk/~cipolla/lectures/4F12/Examples/solutions/4F12-examples-2-solutions.pdf
    17 Oct 2022: The four points can be permuted 4! = 24 different ways.

  7. 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.

  8. 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

  9. Improving Attention-based Sequence-to-sequence Models

    mi.eng.cam.ac.uk/~mjfg/thesis_qd212.pdf
    5 Jul 2022: previoustokens. To achieve more accurate estimation, sequence-to-sequence models are usuallyautoregressive [24]. For autoregressive models, a standard approach is teacher forcing, which guides a modelwith reference output history during training.

  10. PX-NET: Simple and Efficient Pixel-Wise Trainingof Photometric Stereo …

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-PX-NET-photometric-normals.pdf
    9 Apr 2022: These include lightsource brightness calibration [24] uncertainty and near lightattenuation (as in reality point light sources are not infinitelyfar away) which affect pixel brightness in a multiplicativeway. ... 2. [24] Fotios Logothetis, Roberto Mecca,

  11. ACCEPTED FOR PUBLICATION IN IEEE/ACM TRANSACTIONS ON AUDIO, SPEECH,…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/IEEEACMTransASLP2022_Ragni_Confidence.pdf
    11 Apr 2022: The notion of stability gave rise toalternative language model assessment criteria [23], data aug-mentation methodologies [24] as well as confidence estimationapproaches [16]. ... The speech recogniserwas used to produce a set of lattices using a default

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