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LOGOTHETIS ET AL.: A CNN BASED APPROACH FOR THE ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-BMVC-CNN-NF-Photometric-Stereo.pdf28 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. -
Who Left the Dogs Out?3D Animal Reconstruction with Expectation ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ECCV-3D-dog-reconstruction.pdf28 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 -
Embodied Visual Navigation With Automatic Curriculum Learning in Real …
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2021-RA-embodied-visual-navigation.pdf28 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. -
Rotation Equivariant Orientation Estimation forOmnidirectional…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-Rotation-equivariant-localisation.pdf28 Jun 2021: large-scale environments [24, 21]. Nevertheless, recent advances in deep learn-ing particularly improve upon localization with challenging lighting, appearancechanges and in run-time performance [19, 10, 14]. ... 2019) 3302–3312. 24. Sattler, T., Torii, -
Rotation Equivariant Orientation Estimation forOmnidirectional…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-Rotation-equivariant-localisation.pdf28 Jun 2021: large-scale environments [24, 21]. Nevertheless, recent advances in deep learn-ing particularly improve upon localization with challenging lighting, appearancechanges and in run-time performance [19, 10, 14]. ... 2019) 3302–3312. 24. Sattler, T., Torii, -
Deep Learning for Automatic Assessment and Feedback of Spoken English
mi.eng.cam.ac.uk/~mjfg/thesis_kk492.pdf17 Nov 2021: Deep Learning for AutomaticAssessment and Feedback of Spoken. English. Konstantinos Kyriakopoulos. Supervisor: Prof. Mark J.F. Gales. Department of EngineeringUniversity of Cambridge. This thesis is submitted for the degree of Doctor of Philosophy.
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