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DigiFace-1M: 1 Million Digital Face Images for Face Recognition
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2023-WACV-DigiFace-1M-face-recognition.pdf13 Mar 2023: Then, we can compare them against the 18 imagesselected randomly. For the randomly selected images, thestandard deviation in horizontal and vertical angles were(σhori, σvert) = (24.13. , ... 24] Qiang Meng, Shichao Zhao, Zhida Huang, and Feng -
Efficient Large-scale Localization by Global Instance Recognition Fei …
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-CVPR-large-scale-localisation-global-instances.pdf13 Mar 2023: n-point (PnP) [24] technique.They report outstanding performance in small-scale scenes,yet struggle to give comparable results in large-scale envi-ronments [23]. ... 1, 2,3. [24] Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua.Epnp: An accurate o -
BAE, BUDVYTIS, CIPOLLA: IRONDEPTH 1 IronDepth: Iterative Refinement…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-BMVC-IronDepth-3D-reconstruction-normal.pdf13 Mar 2023: Owing to the advances in deep neural networks (DNNs), state-of-the-art ap-proaches [3, 4, 11, 12, 14, 17, 20, 21, 22, 24, 37, 38] use DNNs to extract ... of IEEE/CVFConference on Computer Vision and Pattern Recognition (CVPR), 2019. [24] Fayao Liu, -
Efficient Large-scale Localization by Global Instance Recognition Fei …
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-CVPR-large-scale-localisation-global-instances.pdf13 Mar 2023: n-point (PnP) [24] technique.They report outstanding performance in small-scale scenes,yet struggle to give comparable results in large-scale envi-ronments [23]. ... 1, 2,3. [24] Vincent Lepetit, Francesc Moreno-Noguer, and Pascal Fua.Epnp: An accurate o -
Model-Based Imitation Learning for Urban Driving Anthony Hu1,2…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2022-NeurIPS-Model-based-imitation-learning-urban-driving.pdf13 Mar 2023: alternative approach is to rely on transformers to learn the direct mapping from image to bird’s-eyeview [24, 25, 26], without explicitly modelling depth. ... 24] L. Peng, Z. Chen, Z. Fu, P. Liang, and E. -
Model-Based Imitation Learning for Urban Driving Anthony Hu1,2…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-NeurIPS-Model-based-imitation-learning-urban-driving.pdf13 Mar 2023: alternative approach is to rely on transformers to learn the direct mapping from image to bird’s-eyeview [24, 25, 26], without explicitly modelling depth. ... 24] L. Peng, Z. Chen, Z. Fu, P. Liang, and E.
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