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  1. Results that match 1 of 2 words

  2. Noname manuscript No.(will be inserted by the editor) Using ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2013-IJCV-dense-AAM.pdf
    19 May 2014: Dense op-. tical flow is used to compute pairwise registration and.
  3. Int J Comput VisDOI 10.1007/s11263-010-0381-3 Incremental Linear…

    mi.eng.cam.ac.uk/~cipolla/publications/article/2010-IJCV-Kim.pdf
    25 Oct 2010: Int J Comput VisDOI 10.1007/s11263-010-0381-3. Incremental Linear Discriminant Analysis Using SufficientSpanning Sets and Its Applications. Tae-Kyun Kim Björn Stenger Josef Kittler Roberto Cipolla. Received: 14 December 2009 / Accepted: 10
  4. PhD Thesis

    mi.eng.cam.ac.uk/~mjfg/thesis_ky219.pdf
    16 Nov 2007: Adaptive Training for. Large Vocabulary Continuous. Speech Recognition. Kai Yu. Hughes Hall College. and. Cambridge University Engineering Department. July 2006. Dissertation submitted to the University of Cambridge. for the degree of Doctor of
  5. 9 Aug 2005: ÑÕOLÔ Ô ÓP BQRL(STUWÒzØ BVÒzØeÔ6Ñ! ,
  6. Int J Comput VisDOI 10.1007/s11263-010-0381-3 Incremental Linear…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2011-IJCV-Kim.pdf
    13 Mar 2018: Int J Comput VisDOI 10.1007/s11263-010-0381-3. Incremental Linear Discriminant Analysis Using SufficientSpanning Sets and Its Applications. Tae-Kyun Kim Björn Stenger Josef Kittler Roberto Cipolla. Received: 14 December 2009 / Accepted: 10
  7. Large scale labelled video data augmentation for semantic…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2017-ICCV-label-propagation.pdf
    13 Mar 2018: However, in contrast to image classification and somedeep learning lead problems of computer vision, semanticsegmentation (especially for autonomous driving) still op-erates on limited size datasets which do not exceed 5000labelled
  8. 9 Aug 2005: F! d(e 2Df1 /ghi 2D'! 13@;!e 4j"$ 2kj 2 4# l69<a Dm690M%n op)>&EHGIbJqrs 0.
  9. 9 Aug 2005: A 45VL;_A T VL1"6868V] 3EKX 1"?FW456 ] JonY/op. hA 4_>3EAGF. hIqrK3E?@>tslujvjw0xjyEz {|L}_|eW}I|tWu_zWu jWxyz {|L}j|eW}|W2E {WxyEz {|e}j|e}|WE ... V:G'&%#("!(1'&?& ,'(1K!$! ('?'&M! P %#4B@-7("!%#:G4![!'? :G'%#("!('k%# %#'BClST (%[(1%[!m=<:
  10. Noname manuscript No.(will be inserted by the editor) Using ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2013-Anderson-IJCV.pdf
    19 May 2014: Dense op-. tical flow is used to compute pairwise registration and.
  11. 16 Nov 2007: ". #$! % &! '$#%. ( )& #-,.-. /1032546087:9<;>=@?AB08CEDGF@HJIK2>4. LNMPORQTSVUWXSLNY[ZTZT][. _PUabcdOfehgig[j. kmlonpnKqsrptpuvtplowyxznp{-|}ltKtKqwVrtp-q. kdqsVrpqsq@wVikdwtKwVrwV[_lowynKwVa. "!#$% '&)( ,-. /.
  12. 9 Aug 2005: O,("(,0+,:$:A)4:O+.%$&0,!#&.1+,0m,0E,8!H- k"!#)("L#6h!#[n!6<op)!$Dq1.L("(r-8,:!)$&0,!#&.1+,0s,!#6D$&#h4$:!&!S+?$&#),!#:
  13. Learning Shape Priors for Single View Reconstruction Yu Chen ...

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2009-3DIM-shape-priors.pdf
    13 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
  14. KL843-03.tex

    mi.eng.cam.ac.uk/~cipolla/publications/article/1999-IJCV-generalised-epipolar.pdf
    13 Mar 2018: International Journal of Computer Vision 33(1), 51–72 (1999)c 1999 Kluwer Academic Publishers. Manufactured in The Netherlands. Generalised Epipolar Constraints. KALLE ÅSTRÖMDepartment of Mathematics, Lund University, Lund, Sweden. ROBERTO
  15. 9 Aug 2005: "#$% "'&($). ( (, -'./02143$57698: ,;<0>=@?'AB-C.D3$E26FHGJI4KMLNPORQ' JNSI UTMLWV(XZY[[. ] A 1@=4_$acbdBd e. f 3hgji.026A -Sk4502/ -'.1@0>=mlJn5A 0>57-'-'.025A!o-'p3$.=@g!-'5=q. g!p70>57AB=r 5!s=.@-'-'=f 3$gji7.026AB- fut _JbvPw. n5A Ex3$56.
  16. Multi-View Depth Estimation by FusingSingle-View Depth Probability…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2022-CVPR-multiview-depth-fusion.pdf
    13 Mar 2023: Note that the consistencyweighting alone can improve the accuracy (for Ns 19).This suggests that the proposed weighting can be applied tothe existing multi-view depth estimation methods that op-erate
  17. icra00.dvi

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2000-ICRA-Chesi.pdf
    13 Mar 2018: ÑÕOLÔ Ô ÓP BQRL(STUWÒzØ BVÒzØeÔ6Ñ! ,
  18. 13 Mar 2018: 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.
  19. thesis.dvi

    mi.eng.cam.ac.uk/reports/svr-ftp/nock_thesis.pdf
    14 Jun 2006: It has been a privilegeto work with them. I am indebted to Fred Jelinek, Mari Ostendorf and Steve Young for giving me the op-portunity to work in their research groups
  20. Predicting Semantic Map Representations From Images Using Pyramid…

    mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-CVPR-Predicting-Semantic-Map-Representations.pdf
    28 Jun 2021: tecture, which includes a pyramid of transformers op-. erating at multiple image scales, to predict accurate.
  21. 13 Mar 2018: qp> _ kB1&('10/?@,<'rQ?@>@=s=#?)65k ;1>A&t8Q0<=M)u vKaUwx. op'-0<DF65'C8! #"$. %&('),-.'0/2143
  22. Multi-Task Learning Using Uncertainty to Weigh Losses for Scene…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2018-CVPR-multi-task-learning.pdf
    11 Sep 2019: Firstly, our results show that there is usually not a single op-.
  23. Lattice Rescoring Methods forStatistical Machine Translation Graeme…

    mi.eng.cam.ac.uk/~wjb31/ppubs/gwbthesis2010.pdf
    6 Oct 2010: Lattice Rescoring Methods forStatistical Machine Translation. Graeme Blackwood. Cambridge University Engineering Departmentand. Clare College. Dissertation submitted to the University of Cambridgefor the degree of Doctor of Philosophy.
  24. 9 Aug 2005: ". #%$'&)(-,/. 012$043)(65)798:. <;! => "!==? @ A=6=CB D FEG%HIJ=! K?@ L<M =N ; K?OE&NKHP NEQ2; R=CS;" > ; T#UVR?M= WXEYX A KZ7. [ HP? )]_]?::K]. acb dfe gTh i j b k l gTh m n b o g)m db p n gqk gFrsm n gtb h p o b l dvu k a w axgTh i. h u w o m d h
  25. Linear Gaussian Models for Speech Recognition

    mi.eng.cam.ac.uk/reports/svr-ftp/rosti_thesis.pdf
    8 Oct 2004: Linear Gaussian Models for. Speech Recognition. Antti-Veikko Ilmari Rosti. Wolfson College. May 2004. Dissertation submitted to the University of Cambridge. for the degree of Doctor of Philosophy. ii. Declaration. This dissertation is the result of
  26. Int J Comput VisDOI 10.1007/s11263-010-0381-3 Incremental Linear…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2010-IJCV-Kim.pdf
    25 Oct 2010: Int J Comput VisDOI 10.1007/s11263-010-0381-3. Incremental Linear Discriminant Analysis Using SufficientSpanning Sets and Its Applications. Tae-Kyun Kim Björn Stenger Josef Kittler Roberto Cipolla. Received: 14 December 2009 / Accepted: 10
  27. Structure and Motion from Silhouettesby Kwan-Yee Kenneth WongWolfson…

    mi.eng.cam.ac.uk/reports/svr-ftp/wong_phd_thesis.pdf
    18 Oct 2001: Structure and Motion from Silhouettesby. Kwan-Yee Kenneth WongWolfson College. Department of EngineeringUniversity of Cambridge. A dissertation submitted tothe University of Cambridge. for the degree ofDoctor of Philosophy. Michaelmas Term 2001.
  28. Multiview Geometry: Profiles and Self-Calibration Paulo Ricardo dos…

    mi.eng.cam.ac.uk/reports/svr-ftp/mendonca_phd-thesis.pdf
    22 May 2001: Multiview Geometry: Profiles and Self-Calibration. Paulo Ricardo dos Santos Mendonça. Jesus College. Lent Term 2001. A dissertation submitted to the University of Cambridge. for the degree of Doctor of Philosophy. To Cláudia. with all my love.
  29. Contour-Based Learning for Object Detection Jamie ShottonDepartment…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2005-ICCV-Shotton-object-detection.pdf
    13 Mar 2018: Horses were investigatedbriefly in [7] but poor results were obtained. 3Note that ROC curves are not ideal for the task of detection, as op-posed to classification; see [1] for more
  30. 9 Aug 2005: " #$ %& '& ()!,&-&. 0/ 12436587:9 ;=<?>"@BAC361D4EGF!H 24@. I8JLKNMOKQPSRUTWVXNXZY-[YT]_'aOJ=KZbO[cYd. T]_'aOJ=KZbO[cY'eGMOKNfcYJ=gLKQPSRihMO[cKZMOY-YJ=KZMO[kj Ylm]J=Pn_,Y-MoP. prqtsqtuwvqoxiy{z4z4|. }GNLkLo 6''koZL'LcG = W} ¡¢ W£Z¤¥=t! "#$&% '(
  31. A HIERARCHICAL ATTENTION BASED MODEL FOR OFF-TOPIC SPONTANEOUSSPOKEN…

    mi.eng.cam.ac.uk/~mjfg/ALTA/publications/ASRU2017/HierarchicalAttentionBased/hierarchical-attention-based.pdf
    24 Jan 2018: The HATMalso contains an additional 200-dimensional BiLSTM prompt-searchencoder. The ATM was trained for 5 epochs with the Adam op-timizer [19], an exponentially decaying learning rate with an
  32. Hierarchical Kinematic Probability Distributions for 3D Human Shape…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2021-ICCV-3D-human-shape-in-wild.pdf
    9 Apr 2022: To allow forthe backpropagation of gradients through the sampling op-eration, we present a differentiable rejection sampler formatrix-Fisher distributions over relative 3D joint rotations.
  33. 13 Mar 2018: cayxC]VYVz]jrZ%_;sGhmtGg%VjGk,{|j[r}5. CR07#%Y'bR%. Y Y¡.¢¤£% ¥
  34. 13 Mar 2018: 1 1R@ ' 01. ë5ãèéèê79 C1 = @ øAèàòáèå áãè øAèáèéõäÎàçàÒá ò ö çõVçáéä)ùTë5ãAäñã ñò àåäåáådò ö áë5òñò)ï:õà ìÒèñáòéåê 1 = & (-ãè éäÎíãAáãçàødåQäJø:è ò öP'
  35. "Refinements in Hierarchical Phrase-Based Translation…

    mi.eng.cam.ac.uk/~wjb31/ppubs/jpino2015HieroRefinementsThesis.pdf
    6 Feb 2015: Refinements in HierarchicalPhrase-Based. Translation Systems. Juan Miguel Pino. Cambridge University Engineering Department. Dissertation submitted to the University of Cambridge for the degree ofDoctor of Philosophy. Declaration. I hereby declare
  36. 13 Mar 2018: qp> _ kB1&('10/?@,<'rQ?@>@=s=#?)65k ;1>A&t8Q0<=M)u vKaUwx. op'-0<DF65'C8! #"$. %&('),-.'0/2143
  37. 9 Aug 2005: ON57'98,0b(@e8F&Op@(.,'(K>kJ57'&-4e.'4&/F@'='O$(,_/_'=&('!"i((',!0T0(j97F,X"Sq8IZ('&<,E/5C 'Vq,c98:!8de05C%f(0/;
  38. UNIVERSITY OF CAMBRIDGEDEPARTMENT OF ENGINEERING � ��� ��� � ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/witt_thesis.pdf
    9 Aug 2005: UNIVERSITY OF CAMBRIDGEDEPARTMENT OF ENGINEERING! "$#&%'(()! ,-%./0%12 ,3%4"56/. 7&8:9<;>=?A@>B=DCFE 8HGIG. JLK)MON>PRQTS UVXWHWYK)ZXK. JOV[]KS._K)bacedfagXgXg.
  39. 9 Aug 2005: #"$%& '( ) (,. -/(01 32# "' #1 3456789&:;%5<9=> :?1? @A ; -/. BCEDFHGJIIK. LNMPORQTSU?VWXPUYOZX[]S_ acbd. egfihEhkj!lkmnLop1p1hEqhLrsut!v w1xiqh. yuz{|} |{u}}. ] ; ;? #"%$&'$()&'$(& ,(-%, &. / 01( , 23& ( 445761( 8 ( 4! 9&&4: ;<( (-= >76? (? @!A & &B
  40. 16 Feb 2008: "$#&%'(),.-%/01 " 2-3 2 42 56879;:<=1) >?1 01@ " ABC". DE F(GH42IJKC7 #%L88NM :O88 F1@ ". PQSRUTWVYXUT&ZX[1]_VYXCaVYT.
  41. KL843-03.tex

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/1999-IJCV-generalised-epipolar.pdf
    13 Mar 2018: International Journal of Computer Vision 33(1), 51–72 (1999)c 1999 Kluwer Academic Publishers. Manufactured in The Netherlands. Generalised Epipolar Constraints. KALLE ÅSTRÖMDepartment of Mathematics, Lund University, Lund, Sweden. ROBERTO
  42. Predicting Semantic Map Representations From Images Using Pyramid…

    mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-CVPR-Predicting-Semantic-Map-Representations.pdf
    28 Jun 2021: tecture, which includes a pyramid of transformers op-. erating at multiple image scales, to predict accurate.
  43. 9 Aug 2005: V)Z;#!U$ M $3l7 1 O; 7 5)$ 1 (hA 1 & 1 OP = >. o.$=;3l() $= )-&$v 1 & 1 N,Yh;;DP5$=;" 1 1 = 6,?W"' $7&! ... 29&> >h2Td39 Pc<4#d K;.N7. C 1 C 1 M =,.$ 7$0 ' OP.$Km))A3 J= >o.$J $ 1 K 1 '7&=!
  44. 9 Aug 2005: "#$&%' ( &) ". -,/.10!24357698:3<;98>=? A@CBEDGFGHJI KMLNOF>PQPSR<TGR. DGUJIVRWYXGXAZ. []C_baM_c_edCfhgiakjejeljnmojnCqpsrCautvb_eakjxwmzyJ{}|gfCveaulCqaur|zvbjnaM|>ydhuugrjmyjnCvbdCauvegrje_cymv}jeClCveqmy/mYjnmvmyVJCauum_emhw. $#'. Language models
  45. 9 Aug 2005: aa&!, &',? )4) E&(&)M(, &<. t P ) 95)@! Ha X.$#5) K#L "EM "# Ha L( );OP,C @"2&"OT&) &M, t )(", @L 6"a UQOTO t hV_5)@ "# , 0 )9@
  46. 9 Aug 2005: "!#$%'&(),.-0/21 3 45/6 6 387. 9:;=<=>?9@A<,BDC%@E0@E99#@E,@FG 9H<#IJBDC>LKE#M8 9)N=OE>?:F0@E <PB @QA<==99<. R>LKE#M8 9ST3U/VW XEY. ZU[]_[aa[;b[aNcedUfhgjilk2i;]dinmho pbi;qpgj[rkst[NuNilvvcwaxzy{o|h}rced{k2[NdiEppiEp! "#%$'&( $! )
  47. 9 Aug 2005: #". $ %!&'$ () , - "&. 0/213546798/;:<>=?8@@7BA:. CDEFHG;IKJHLMNPOQIKRMGTSUIKV2WXYOQLZI[OQMMGTI[OQL+]M_HDZG;VEMOZVa GcbHEd_QIeOQLVUfgOihQVG;MMVCDEFHG;IKJHLMjCklmonYp. XYOQLqeDOQJ. r9sgtvujwteuxuyzx{}|{}tZtvu uHt{}{}yw
  48. 9 Aug 2005: Department of EngineeringUniversity of Cambridge! " $#%&' ( ) " ,%-.) / 0 213. George Francis HarpurQueens’ College. February 1997. A dissertation submitted forthe degree of Doctor of Philosophy. at the University of Cambridge. Summary. The
  49. 9 Aug 2005: C $ -.T)d d ,JI; 5 e #I8T ( a? $J O 9>OP?-8TO 8 ( ( a $% : 1 & 1 $5GFH$ -" -9; #"TV d3 V $ 3 8K>E4 K "
  50. 9 Aug 2005: "!#$% & ' ($) , -. 0/213546. 798;:=<>@?#<>&ABDC;A-EGFH>)8>IBKJLNM.O5J):=M.A 8PJ8QR+>IL.ETSUR:=B=VWX:=V B=MN8YZMN8;[MN8>]J-B%LC_>)M.Y<:K>]Q. abA88>&WX:=M.A 8 M.cU:edf>g:ihbABKj c. k)lmXnpoq-rsXtvu-lnw. xyz|{G}= Tz|G}=GqvD&. mXn]m%X]DX%.
  51. � � ��� ��� �� � � ������ ���� ...

    mi.eng.cam.ac.uk/reports/svr-ftp/auto-pdf/logan_thesis.pdf
    9 Aug 2005: "$#&%(' )#,(#,-/. 021435.76. 8:9<;>=@?BADC5?BEFEHGJIGLKNMOA(9HPBGQ;@R@9S=UTV?WXCZYL[(;@9F]NIGLKYLA(]. CZYL[(;9<]NIG_MA(9HPGJ;@Ra9H=bTdceANIB9<ANGJGQ;@9FANIfGQghYi;>=[VGjAB=jk.

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