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1 - 18 of 18 search results for TALK:PC53 20 |u:mi.eng.cam.ac.uk where 0 match all words and 18 match some words.

  1. Results that match 1 of 2 words

  2. EFFICIENT USE OF END-TO-END DATA IN SPOKEN LANGUAGE PROCESSING ...

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/lu_ICASSP2021.pdf
    22 Jul 2021: Various models shown in Figure 1are discussed below.Cascade (Casc) The vanilla Casc model consists of an RNN-basedListen-attend-spell (LAS) [20] and a transformer-based NMT [10].In the ... E2E - - 19.29Casc 9.60 16.56 20.54EP 7.97 18.84 22.56. EP-J 9.60

  3. 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: FootNet: Efficient Multiview 3D Foot Reconstruction 3. to output the predicted 3D shape [19, 20]. ... The 20-viewdataset consists of 5 sets of foot images, each containing 20 views.

  4. 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: existing Stanford Dog Dataset [19],which consists of 20,580 dog images taken ‘in the wild’ and covers 120 dogbreeds. ... This leaves us with 8,476 images which we divide per-breed into an80%/20% train and test split.

  5. 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: Error Error Error. Normals Normals Normals. 30. 0. 20. 105.0. 0.0. ... Object - Armadillo. Object - Queen30. 0. 20. 10. Figure 5: Visualisation of the results of Figure 4(b).

  6. 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: FootNet: Efficient Multiview 3D Foot Reconstruction 3. to output the predicted 3D shape [19, 20]. ... The 20-viewdataset consists of 5 sets of foot images, each containing 20 views.

  7. Deep Multi-View Stereo for Dense 3DReconstruction from Monocular…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-MICCAI-deep-MVS-endoscopic-vision.pdf
    28 Jun 2021: Thelearning rate is set to 0.001 and is reduced every 20 epochs, to 0.0007, 0.0003and 0.0001, respectively.

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

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ECCV-3D-dog-reconstruction.pdf
    28 Jun 2021: existing Stanford Dog Dataset [19],which consists of 20,580 dog images taken ‘in the wild’ and covers 120 dogbreeds. ... This leaves us with 8,476 images which we divide per-breed into an80%/20% train and test split.

  9. 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: Error Error Error. Normals Normals Normals. 30. 0. 20. 105.0. 0.0. ... Object - Armadillo. Object - Queen30. 0. 20. 10. Figure 5: Visualisation of the results of Figure 4(b).

  10. Rotation Equivariant Orientation Estimation forOmnidirectional…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-Rotation-equivariant-localisation.pdf
    28 Jun 2021: 22 0.17 2.54 2.51 0.19 0.17 4.21 4.20 0.19 0.16 2.54 2.32. ... SphereNet SO(3) 6.07 5.20 11.6 10.8Ours none 2.22 1.71 9.41 9.13.

  11. Deep Multi-View Stereo for Dense 3DReconstruction from Monocular…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-MICCAI-deep-MVS-endoscopic-vision.pdf
    28 Jun 2021: Thelearning rate is set to 0.001 and is reduced every 20 epochs, to 0.0007, 0.0003and 0.0001, respectively.

  12. 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: Depth Unproj. 33.0 12.7 3.3 - 1.1 20.6 - 1.6 - 12.1. ... on Computer Vision (ECCV), 2012. 6. [20] Andrea Palazzi, Guido Borghi, Davide Abati, Simone.

  13. Rotation Equivariant Orientation Estimation forOmnidirectional…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-Rotation-equivariant-localisation.pdf
    28 Jun 2021: 22 0.17 2.54 2.51 0.19 0.17 4.21 4.20 0.19 0.16 2.54 2.32. ... SphereNet SO(3) 6.07 5.20 11.6 10.8Ours none 2.22 1.71 9.41 9.13.

  14. 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: Manuscript received September 11, 2020; accepted December 11, 2020. Dateof publication January 1, 2021; date of current version January 20, 2021. ... Rep., 2020, arXiv:2004.04954. [20] Y. Wu, Y. Wu, A. Tamar, S.

  15. 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: Depth Unproj. 33.0 12.7 3.3 - 1.1 20.6 - 1.6 - 12.1. ... on Computer Vision (ECCV), 2012. 6. [20] Andrea Palazzi, Guido Borghi, Davide Abati, Simone.

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

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2021-RA-embodied-visual-navigation.pdf
    28 Jun 2021: Manuscript received September 11, 2020; accepted December 11, 2020. Dateof publication January 1, 2021; date of current version January 20, 2021. ... Rep., 2020, arXiv:2004.04954. [20] Y. Wu, Y. Wu, A. Tamar, S.

  17. 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: Image retrieval localization methods [8, 20,21, 1, 2, 4, 5, 9] work by finding the visually most similar image in a database ofpreviously collected set of images and reporting the ... In: ECMR. (2019). 20. Chen, D.M., Baatz, G., Köser, K., Tsai, S.S.,

  18. 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: Image retrieval localization methods [8, 20,21, 1, 2, 4, 5, 9] work by finding the visually most similar image in a database ofpreviously collected set of images and reporting the ... In: ECMR. (2019). 20. Chen, D.M., Baatz, G., Köser, K., Tsai, S.S.,

  19. Deep Learning for Automatic Assessment and Feedback of Spoken English

    mi.eng.cam.ac.uk/~mjfg/thesis_kk492.pdf
    17 Nov 2021: 7.20 is given by the sum of the red and orange paths normalised by the.

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