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EFFICIENT DECODING WITH GENERATIVE SCORE-SPACESUSING THE EXPECTATION…
mi.eng.cam.ac.uk/~mjfg/Kernel/van_dalen-2013-efficient_decoding.pdf27 Mar 2013: op-timal segmentation into words, the features are found in amortisedconstant time. -
A Simple Technique for Self-Calibration
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-CVPR-self-calibration.pdf13 Mar 2018: This goal is achieved by solving an op-timization problem by numerical techniques, searching di-rectly for the intrinsic parameters of the cameras, instead ofthe indirect search performed by the algorithms -
Refining Architectures of Deep Convolutional Neural Networks Sukrit…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2016-CVPR-refining-CNN.pdf13 Mar 2018: Please see Fig 1 for an illustration ofthese operations. We do not consider the other plausible op-erations for architectural refinement of CNN; for instance,arbitrary connection patterns between two layers ... 2. We introduce a strategy that starts with -
DISCRIMINATIVE LANGUAGE MODEL ADAPTATION FORMANDARIN BROADCAST SPEECH …
mi.eng.cam.ac.uk/research/projects/AGILE/publications/liu-asru07.pdf26 Mar 2008: Rather than directly op-timize the interpolation weights, their prior distribution and the as-sociated hyper-parameters are optimized. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/jones_icslp94.pdf9 Aug 2005: " $#%&'( $)!,-. /0& / 1324!5!' 678:95;<=%>$? ,A@BC!1. C)DE&@/1(/! C%$1FG GH "! $ "I DJ1(KLDJ@/DJ(G( M14C5(.GNC!1( 4.1(.J&-!C @O!C!1 ( L MPRQFSBT2FU%VC!(/1%W-!C5 GX!Y&G1( ZM@&1)1F:'! 3F Z) HC! L1([F1(A] 1!Y __@: G GGZ$GZ!G?a,@/! : C5 1(/(T-!I@/M ) @I1 -
Filtering Using a Tree-Based Estimator B. Stenger∗ A. Thayananthan∗…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2003-ICCV-Stenger-filtering.pdf13 Mar 2018: Filtering Using a Tree-Based Estimator. B. Stenger A. Thayananthan P. H. S. Torr† R. Cipolla. University of Cambridge † Microsoft Research Ltd.Department of Engineering 7 JJ Thompson AvenueCambridge, CB2 1PZ, UK Cambridge, CB3 OFB, UK. -
Stereo Coupled Active Contours Tat-Jen Cham Roberto Cipolla…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1997-CVPR-Cham-contour.pdf13 Mar 2018: The tworight columns show the update actions whichmust be performed for the desired tracking op-eration. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/logan_euro97.pdf9 Aug 2005: "#$ %$'&() ((,$-(. /0120$34&5 7689 0(. (,&:. ;7!-&:<(, ,< ='(, > (, " >? '@8AB@DCEGFIHIJ HIJLKM,@DNO@QPREISTUJWVXEIJ. Y:Z[]L_badcfehgjiL_lkIeXGmn_porqsBiLcf_piLee+t_liLcuRevwZto[eXidoXxyY:Zz[]{_Ua|cfeIx{gjiL_loteza} _li{cIad[. :IBBXBlGU8/rt5lX5/t -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2015-ICCV-relocalisation-arXiv.pdf13 Mar 2018: engineering or graph op-timisation. ... This demonstrates that learning with the op-timum scale factor leads to the convnet uncovering a more accuratepose function. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/waterhouse_nips94.pdf9 Aug 2005: E? P@$#WT $ F @E> "!I $&% &> & @ #" OP@Q;R!# @ AW$FH "KR $ W I E$%#@E! ... diiF:«0JN?CF=eH. Ò º D?E"&% & & % %EA D#OP &>? & G%;FH"JLK'& &&O )"E @?& I @XO $!#& @E>.$!#&&?VPPU! " $%&! " -
Utilisation de la cohérence globale entre silhouettes pour…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2006-ARIF-Hernandez.pdf13 Mar 2018: intervals de profondeur vides.Dans le cas de deux vues, les silhouettes correspondantesne seront pas cohérentes s’il existe au moins un rayon op-tique classé S par une des silhouettes -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/reinhard_ioa98.pdf9 Aug 2005: p1.06C4FL9.p8rtq56&IJ.DwVZL9476GL9/M15UcQy6&OJRÉL93.r0q6&IJ!69.0X69.pK&.01ZL&.>8PSZN1YX[O7/21ZL9K EN OP@: Ì =uQyOJ6.>47rC3YÏ /21L93.K94DRYXo2. L&35.IF4Do2q.K È K TRQ ST : ... OP.t|$L&6C47rtL47oMo¢Or0r0q696&/21UW8/MX53O71.>Ktwu/ML&3L&3.cS[.pKGL!6&.>rt -
Hole Filling Through Photomontage Marta Wilczkowiak∗, Gabriel J.…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2005-BMVC-Wilczkowiak-hole-filling.pdf13 Mar 2018: Now the problem of finding an op-timal replacement of pixels in patch p′ from those in patch m′ is equivalent to finding apath in the graph such that the error -
PoseNet: A Convolutional Network for Real-Time 6-DOF Camera…
mi.eng.cam.ac.uk/~cipolla/archive/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. -
Department of Engineering 1 Generative Kernels and Score-Spaces…
mi.eng.cam.ac.uk/~mjfg/Kernel/rcv25_2013_y2.pdf9 Sep 2013: σ ,. 〈logl,. αTλll. 〉. (16). Notice that the last element of the tuple now is a scalar value, which makes the op-erations and (which are similar to (15) and straightforward to -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/reinhard_icassp99.pdf9 Aug 2005: ð|Î Óp«ñBòóñÀ«Ñrôò Ï Ñ ÐÌõ ÑÒÃòög ¤µt£ªbM9_á£bª£¥¤>9¤> 9' ø9H£ª9 eÀn >« ¤Q¤+p9bb9b>ª£¡º!ù?úlåÕ1¡ºb br£«H¤e >}9_ábbª£¤>&b£9'»Q£ª¤> a ' 9 »f_| -
Noname manuscript No.(will be inserted by the editor) Using ...
mi.eng.cam.ac.uk/~cipolla/publications/article/2014-IJCV-dense-AAM.pdf13 Mar 2018: Dense op-. tical flow is used to compute pairwise registration and. -
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mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/lawn_tr160.pdf9 Aug 2005: tDvxmKyz{ag/koamn|@p s p}l}op z{ygKa. mm m. dKm pjym gp}@z{pg s kl z{ygKa. ... 4"<4L86"< )&A$"%( OP SOH! "% $ &%& 6 2 /, 1 ,"%5="% w4"< 2 "< 9 4w" 2 wZJ> 4w"%H7L. -
MVA '98 IAPR Workshop on Machine Vision Applications, Nov. ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/1998-MVA-invited.pdf13 Mar 2018: This op- timisation takes into account image gradient in- formation and modifies image point coordinates in order t o position primitive edges along image edges. -
bmvc-99.dvi
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/1999-BMVC-Chesi.pdf13 Mar 2018: 2Gênu£¢£nZ»i{ki£ªn¢a£ªs£iiÓ]i]n¢«sx¢g¤K1 ¡¥£B¢ai«Åig¢]s£iªs¢£g Ói isÅ1{Z£i3ìs«¥Â£pi£¥NM%¤n]kg]iPO ¢ ¡¥s£<-¿! $. iÓ]i]n¢n¥«¥ÅspJKs P I6¥««3¤Kªs£g Óª££g MV OP I V
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