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Real-time analogue gauge transcription on mobile phone Ben…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-CVPR-analogue-meter-reading.pdf9 Apr 2022: meter_e. 0. 100. 200. test2. 0 20 40 60 80 100 120 140Frame no. ... 4. [20] R. Sablatnig and W. G. Kropatsch. Automatic reading ofanalog display instruments. -
SENGUPTA ET AL.: PROBABILISTIC HUMAN SHAPE & POSE WITH ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-BMVC-body-measurement-reconstruction.pdf9 Apr 2022: to this task yield impressive human pose estimates[6, 9, 10, 15, 20, 21, 25, 45]. ... 36] - - - 24.4 20.6 20.4 15.2 13.6 13.3 90.9 61.0VIBE [19] - - - - 50.1 - - 24.1 - - 51.9. -
FIERY: Future Instance Prediction in Bird’s-Eye Viewfrom Surround…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-Future-Instance-Prediction-BEV.pdf9 Apr 2022: NuScenes contains 1000 scenes, each 20 sec-onds in length, annotated at 2Hz. ... 5.3. Analysis. 20 22 24 26 28 30. FIERY. Deterministic. Uniform depth. -
Hierarchical Kinematic Probability Distributions for 3D Human Shape…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-3D-human-shape-in-wild.pdf9 Apr 2022: 3] - 55.6DaNet [63] 82.4 54.8HMR (unpaired) [20] 126.3 92.0Kundu et al. ... Figure 4(a) shows. Max. inputset size. Method SSP-3DPVE-T-SC. HMR [20] 22.9GraphCMR [27] 19.5. -
R. MECCA ET. AL : LUCES: NEAR-FIELD PHOTOMETRIC STEREO ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-BMVC-LUCES-photometric-stereo-dataset.pdf9 Apr 2022: Xiong et al. [41] have proposed a dataset of 7 objects using 20 directionallights calibrated with two chrome spheres. ... 4 ExperimentsIn this section, we evaluate four competing near-field methods namely [18, 20, 32, 35]. -
Estimating and Exploiting the Aleatoric Uncertaintyin Surface Normal…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-ICCV-surface-normal-uncertainty.pdf9 Apr 2022: We assumethat the uncertainty is heteroscedastic [20] (i.e. certain pix-els have higher uncertainty than the others). ... 5. [20] Alex Kendall and Yarin Gal. What uncertainties do weneed in bayesian deep learning for computer vision? -
FIERY: Future Instance Prediction in Bird’s-Eye Viewfrom Surround…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-FIERY-future-instance-BEV.pdf9 Apr 2022: NuScenes contains 1000 scenes, each 20 sec-onds in length, annotated at 2Hz. ... 20 22 24 26 28 30. FIERY. Deterministic. Uniform depth. No future flow. -
Part IA Computing CourseTutorial Guide to C++ Programming Roberto ...
mi.eng.cam.ac.uk/~cipolla/resource/tutorial.pdf12 Apr 2022: 195.2 Input of data from the keyboard using input stream. 20. ... 20. Part IA Computing Course Session 1B. A. Objectives. After reading through sections 3 to 5 of the tutorial guide and working through the ex-amples you should be able to:. -
PX-NET: Simple and Efficient Pixel-Wise Trainingof Photometric Stereo …
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2021-ICCV-PX-NET-photometric-normals.pdf9 Apr 2022: Startingfrom the basic linear light response for diffuse reflection[21, 13], more specular behaviour of reflected light havebeen proposed [31, 3, 8, 20, 38, 40]. ... Test-timeaccuracy evolution of CNN-PS [16] network when trained. in total on 20, 30, 40 -
SENGUPTA ET AL.: PROBABILISTIC HUMAN SHAPE & POSE WITH ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-BMVC-body-measurement-reconstruction.pdf9 Apr 2022: to this task yield impressive human pose estimates[6, 9, 10, 15, 20, 21, 25, 45]. ... 36] - - - 24.4 20.6 20.4 15.2 13.6 13.3 90.9 61.0VIBE [19] - - - - 50.1 - - 24.1 - - 51.9.
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