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PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation.pdf13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function. -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation-arXiv.pdf13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function. -
DEEP-CARVING: Discovering Visual Attributes by Carving Deep Neural…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-CVPR-Shankar.pdf13 Mar 2018: ntr. op. y L. os. s. Inp. ut. Ima. ge. L1. -
SegNet: A Deep Convolutional Encoder-Decoder Architecture for…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-arxiv-SegNet.pdf13 Mar 2018: LeCun. Sceneparsing with multiscale feature learning, purity trees, and op-timal covers. -
A Unifying Resolution-Independent Formulation for Early Vision∗ Fabio …
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2012-CVPR-Viola.pdf13 Mar 2018: Our implementation has been optimizedfor speed at an algorithmic level by use of second order op-timizers, and by limiting the number of polygon clippingsrequired, but has not been micro-optimized. -
Silhouette-based Object Phenotype Recognition using 3D Shape Priors…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2011-ICCV-Chen-priors.pdf13 Mar 2018: However, the back-projectionfrom 2D to 3D is usually multi-modal, and this results ina non-convex objective function with multiple local op-tima, which is usually difficult to solve. -
KIM et al.: GROWING A TREE FROM DECISION REGIONS ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2010-BMVC-supertree.pdf13 Mar 2018: Huffman coding [17] is related to our op-timisation. It minimises the weighted (by region prior in our problem) path length of code(region). -
Learning Shape Priors for Single View Reconstruction Yu Chen ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2009-3DIM-shape-priors.pdf13 Mar 2018: Learning Shape Priors for Single View Reconstruction. Yu Chen and Roberto CipollaDepartment of Engineering, University of Cambridge. {yc301 and rc10001}@cam.ac.uk. Abstract. In this paper, we aim to reconstruct free-from 3D mod-els from a single -
Ghostscript wrapper for…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2007-CVPR-Kim-tensor.pdf13 Mar 2018: rize human action and gesture classes in videos. Traditional. approaches based on explicit motion estimation require op-. -
Multi-Sensory Face Biometric Fusion (for Personal Identification)…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-OTCBVS-Arandjelovic-fusion.pdf13 Mar 2018: The optimal. values were found to be2.3 and6.2 for visual data; the op-timal filter for thermal data was found to be alow-passfilterwith W2 = 2.8 (i.e.
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