Scott, G.L.,
Turner, S.C.,
Zisserman, A.,
Using a Mixed Wave-Diffusion Process to Elicit the Symmetry Set,
IVC(7), No. 1, February 1989, pp. 63-70.
Elsevier DOI locus of centers of circles bitangent to a curve.
BibRef
8902
Whitaker, R.T.[Ross T.],
Geometry-Limited Diffusion in the Characterization of
Geometric Patches in Images,
CVGIP(57), No. 1, January 1993, pp. 111-120.
DOI Link More than images.
BibRef
9301
Whitaker, R.T.[Ross T.],
Pizer, S.M.[Stephen M.],
A Multi-Scale Approach To Nonuniform Diffusion,
CVGIP(57), No. 1, January 1993, pp. 99-110.
DOI Link Combine multiple scales to locate boundaries.
BibRef
9301
Whitaker, R.T.[Ross T.], and
Pizer, S.M.[Stephen M.],
Geometry-Based Image Segmentation Using Anisotropic Diffusion,
MDSG94(641-650).
BibRef
9400
Whitaker, R.T.[Ross T.],
Gerig, G.[Guido],
Vector-Valued Diffusion,
GDDCV94(Chapter 3)
BibRef
9400
Proesmans, M.[Marc],
Pauwels, E.J.[Eric J.],
Van Gool, L.J.[Luc J.], Leuven University
Coupled Geometry-Driven Diffusion Equations for Low-Level Vision,
GDDCV94(Chapter 7).
BibRef
9400
Eberly, D.[David],
A Differential Geometric Approach to Anisotropic Diffusion,
GDDCV94(Chapter 12).
University of North Carolina Chapel Hill
BibRef
9400
Li, X.P.[Xiao-Ping],
Chen, T.W.[Tong-Wen],
Nonlinear Diffusion with Multiple Edginess Thresholds,
PR(27), No. 8, August 1994, pp. 1029-1037.
Elsevier DOI
BibRef
9408
You, Y.L.[Yu-Li],
Xu, W.Y.[Wen-Yuan],
Tannenbaum, A.,
Kaveh, M.,
Behavioral Analysis of Anisotropic Diffusion in Image Processing,
IP(5), No. 11, November 1996, pp. 1539-1553.
IEEE DOI
9611
BibRef
Earlier: A1, A4, A2, A3:
Analysis and design of anisotropic diffusion for image processing,
ICIP94(II: 497-501).
IEEE DOI
9411
BibRef
Earlier: A1, A2, A4, A3:
On ill-posed anisotropic diffusion models,
ICIP95(II: 268-271).
IEEE DOI
9510
BibRef
You, Y.L.[Yu-Li],
Kaveh, M.,
Differences in the behaviors of continuous and discrete anisotropic
diffusion equations for image processing,
ICIP98(III: 249-253).
IEEE DOI
9810
BibRef
Earlier:
Formation of Step Images During Anisotropic Diffusion,
ICIP97(III: 388-391).
IEEE DOI
BibRef
Torkamaniazar, F.,
Tait, K.E.,
Image Recovery Using the Anisotropic Diffusion Equation,
IP(5), No. 11, November 1996, pp. 1573-1578.
IEEE DOI
9611
BibRef
Sapiro, G.,
Ringach, D.L.,
Anisotropic Diffusion of Multivalued Images with Applications to
Color Filtering,
IP(5), No. 11, November 1996, pp. 1582-1586.
IEEE DOI
9611
BibRef
Black, M.J.[Michael J.],
Sapiro, G.,
Marimont, D.H.,
Heeger, D.,
Robust Anisotropic Diffusion,
IP(7), No. 3, March 1998, pp. 421-432.
IEEE DOI
HTML Version.
9803
BibRef
Earlier:
ScaleSpace97(xx).
9702
BibRef
Cottet, G.H.,
Germain, L.,
Image Processing Through Reaction Combined with Nonlinear Diffusion,
MathComp(61), No. 204, 1993, pp. 659-673.
BibRef
9300
Kimia, B.B.,
Siddiqi, K.,
Geometric Heat-Equation and Nonlinear Diffusion of Shapes and Images,
CVIU(64), No. 3, November 1996, pp. 305-322.
DOI Link
9612
BibRef
Earlier:
CVPR94(113-120).
IEEE DOI
BibRef
Weickert, J.[Joachim],
Nonlinear Diffusion Scale-Spaces,
GSST97(221-234).
Semidiscrete and fully discrete nonlinear scale-space theory.
BibRef
9700
Weickert, J.[Joachim],
Recursive Separable Schemes for Nonlinear Diffusion Filters,
ScaleSpace97(xx).
9702
BibRef
Weickert, J.,
ter Haar Romeny, B.M.,
Viergever, M.A.,
Efficient and Reliable Schemes for Nonlinear Diffusion Filtering,
IP(7), No. 3, March 1998, pp. 398-410.
IEEE DOI
9803
BibRef
Weickert, J.,
Zuiderveld, K.,
ter Haar Romeny, B.M., and
Niessen, W.J.,
Parallel Implementations of AOS Schemes:
A Fast Way of Nonlinear Diffusion Filtering,
ICIP97(III: 396-399).
IEEE DOI
BibRef
9700
Weickert, J.[Joachim],
Anisotropic Diffusion in Image Processing,
Teubner-VerlagStuttgart, Germany, 1998.
Book on continuous and discrete nonlinear scale-space theory.
BibRef
9800
Weickert, J.[Joachim],
Anisotropic Diffusion Filters for Image Processing
Based Quality Control,
ConferenceSeventh European Conference on Mathematics in Industry.
Teubner-Verlag, Stuttgart, 1994, pp. 355-362.
BibRef
9400
Scherzer, O.[Otmar],
Weickert, J.[Joachim],
Relations Between Regularization and Diffusion Filtering,
JMIV(12), No. 1, January 2000, pp. 43-63.
DOI Link
0505
BibRef
Niessen, W.J.,
ter Haar Romeny, B.M.[Bart M.],
Florack, L.M.J.,
Salden, A.H.,
Nonlinear Diffusion of Scalar Images using Well-Posed
Differential Operators with Applications in Medical Imaging,
CVPR94(92-97).
IEEE DOI
BibRef
9400
Weickert, J.[Joachim],
Multiscale texture enhancement,
CAIP95(230-237).
Springer DOI
9509
Gap completion, diffusion tensor, structure tensor.
BibRef
Fischl, B.,
Schwartz, E.L.,
Learning an Integral-Equation Approximation to Nonlinear
Anisotropic Diffusion in Image-Processing,
PAMI(19), No. 4, April 1997, pp. 342-352.
IEEE DOI
9705
Obtain an approximate solution to the standard PDE formulation for some time.
Use a learning procedure to find the kernel.
BibRef
Fischl, B.,
Cohen, M.A.,
Schwartz, E.L.,
Rapid Anisotropic Diffusion Using Space-Variant Vision,
IJCV(28), No. 3, July/August 1998, pp. 199-212.
DOI Link
9809
BibRef
Fischl, B.,
Schwartz, E.L.,
Learned Adaptive Nonlinear Filtering for Anisotropic Diffusion
Approximation in Image Processing,
ICPR96(IV: 276-280).
IEEE DOI
9608
(Dept. Cognitive and Neural Systems, USA)
BibRef
Zhu, S.C.[Song Chun],
Mumford, D.[David],
Prior Learning and Gibbs Reaction-Diffusion,
PAMI(19), No. 11, November 1997, pp. 1236-1250.
IEEE DOI
9712
BibRef
Zhu, S.C.[Song Chun], and
Mumford, D.[David],
GRADE: Gibbs Reaction and Diffusion Equation,
ICCV98(847-854).
IEEE DOI
BibRef
9800
Acton, S.T.,
Multigrid Anisotropic Diffusion,
IP(7), No. 3, March 1998, pp. 280-291.
IEEE DOI
9803
BibRef
Segall, A., and
Acton, S.T.,
Morphological Anisotropic Diffusion,
ICIP97(III: 348-351).
IEEE DOI
BibRef
9700
Segall, A.,
Acton, S.T.,
Gradient independent translation via differential morphology,
ICIP98(II: 727-731).
IEEE DOI
9810
BibRef
Acton, S.T.,
Ley, K.,
Tracking Leukocytes from in Vivo Video Microscopy Using Morphological
Anisotropic Diffusion,
ICIP01(II: 300-303).
IEEE DOI
0108
BibRef
Acton, S.T.,
Bovik, A.C.,
Crawford, M.M.,
Anisotropic diffusion pyramids for image segmentation,
ICIP94(III: 478-482).
IEEE DOI
9411
BibRef
Acton, S.T.,
Edge enhancement of infrared imagery by way of the anisotropic
diffusion pyramid,
ICIP96(I: 865-868).
IEEE DOI
9610
BibRef
Acton, S.T.,
Deconvolutional Speckle Reducing Anisotropic Diffusion,
ICIP05(I: 5-8).
IEEE DOI
0512
BibRef
Dibos, F.,
Projective Analysis of 2-D Images,
IP(7), No. 3, March 1998, pp. 274-279.
IEEE DOI
9803
BibRef
Cottet, G.H.,
El-Ayyadi, M.,
A Volterra Type Model for Image-Processing,
IP(7), No. 3, March 1998, pp. 292-303.
IEEE DOI
9803
BibRef
Sochen, N.A.,
Kimmel, R.,
Malladi, R.,
A General Framework for Low-Level Vision,
IP(7), No. 3, March 1998, pp. 310-318.
IEEE DOI
9803
BibRef
Teboul, S.,
Blanc-Feraud, L.,
Aubert, G.,
Barlaud, M.,
Variational Approach for Edge-Preserving Regularization
Using Coupled PDEs,
IP(7), No. 3, March 1998, pp. 387-397.
IEEE DOI
9803
BibRef
Schnorr, C.,
A Study of a Convex Variational Diffusion Approach for
Image Segmentation and Feature-Extraction,
JMIV(8), No. 3, May 1998, pp. 271-292.
DOI Link
9804
BibRef
Neumann, H.[Heiko],
Pessoa, L.[Luiz],
Mingolla, E.[Ennio],
A Neural Architecture of Brightness Perception:
Nonlinear Contrast Detection and Geometry Driven Diffusion,
IVC(16), No. 6-7, May 18 1998, pp. 423-446.
Elsevier DOI
9806
Mach Bands.
BibRef
Elfallah, A.I.,
Ford, G.E.,
On Mean-Curvature Diffusion in Nonlinear Image Filtering,
PRL(19), No. 5-6, April 1998, pp. 433-437.
9808
BibRef
Elfallah, A.I.,
Ford, G.E.,
Mean-Curvature Evolution and Surface-Area Scaling in Image Filtering,
IP(6), No. 5, May 1997, pp. 750-753.
IEEE DOI
9705
BibRef
Earlier:
The evolution of mean curvature in image filtering,
ICIP94(I: 298-302).
IEEE DOI
9411
BibRef
Ford, G.E.,
Elfallah, A.I.,
Inhomogeneous Surface Diffusion for Image Filtering,
IJIST(8), No. 5, 1997, pp. 450-456.
9710
BibRef
Jawerth, B.[Björn],
Lin, P.[Peng],
Sinzinger, E.[Eric],
Lattice Boltzmann Models for Anisotropic Diffusion of Images,
JMIV(11), No. 3, December 1999, pp. 231-237.
DOI Link
BibRef
9912
Earlier:
Lattice Boltzmann Models for Nonlinear Diffusion Filtering,
ScaleSpace99(283-293).
BibRef
Tang, B.[Bei],
Sapiro, G.[Guillermo],
Caselles, V.[Vicent],
Diffusion of General Data on Non-Flat Manifolds via Harmonic Maps
Theory: The Direction Diffusion Case,
IJCV(36), No. 2, February 2000, pp. 149-161.
DOI Link
0004
BibRef
Earlier:
Direction Diffusion,
ICCV99(1245-1252).
IEEE DOI Diffusion with vector data.
BibRef
Kimmel, R.[Ron],
Malladi, R.[Raul],
Sochen, N.A.[Nir A.],
Images as Embedded Maps and Minimal Surfaces:
Movies, Color, Texture, and Volumetric Medical Images,
IJCV(39), No. 2, September 2000, pp. 111-129.
DOI Link
0008
BibRef
Earlier:
Images as Embedding Maps and Minimal Surfaces:
Movies, Color, and Volumetric Medical Images,
CVPR97(350-355).
IEEE DOI
9704
Image processing framework.
BibRef
And: A1, A3, A2:
Images as Embedding Maps and Minimal Surfaces:
A Unified Approach for Image Diffusion,
ICIP97(III: 368-371).
IEEE DOI
BibRef
Sochen, N.A.,
Kimmel, R.,
Bruckstein, A.M.,
Diffusions and Confusions in Signal and Image Processing,
JMIV(14), No. 3, May 2001, pp. 195-209.
DOI Link
0106
BibRef
Malm, H.[Henrik],
Sparr, G.[Gunnar],
Hult, J.[Johan],
Kaminski, C.F.[Clemens F.],
Nonlinear diffusion filtering of images obtained by planar
laser-induced fluorescence spectroscopy,
JOSA-A(17), No. 11, December 2000, pp. 2148-2156.
0101
BibRef
Pardo, A.,
Sapiro, G.,
Vector probability diffusion,
SPLetters(8), No. 4, April 2001, pp. 106-109.
IEEE Top Reference.
0001
BibRef
Earlier: A1 only:
ICIP00(Vol I: 884-887).
IEEE DOI
0008
BibRef
Weickert, J.[Joachim],
Heers, J.[Josef],
Schnörr, C.[Christoph],
Zuiderveld, K.J.[Karel J.],
Scherzer, O.[Otmar],
Stiehl, H.S.[H. Siegfried],
Fast Parallel Algorithms for a Broad Class of Nonlinear Variational
Diffusion Approaches,
RealTimeImg(7), No. 1, February 2001, pp. 31-45.
DOI Link
0106
BibRef
Chen, Y.M.[Yun-Mei],
Bose, P.[Paromita],
On the Incorporation of Time-delay Regularization into
Curvature-Based Diffusion,
JMIV(14), No. 2, March 2001, pp. 149-164.
DOI Link
0106
BibRef
Lee, S.H.[Sang Hwa],
Kanatsugu, Y.[Yasuaki],
Park, J.I.[Jong-Il],
MAP-Based Stochastic Diffusion for Stereo Matching and Line Fields
Estimation,
IJCV(47), No. 1-3, April-June 2002, pp. 195-218.
DOI Link
0203
BibRef
Earlier:
Object Segmentation in Stereo Image Using Cooperative Line Field in
Stochastic Diffusion,
ICIP01(III: 62-65).
IEEE DOI
0108
BibRef
Lee, S.,
Correspondence and Line Field Estimation Using Map-based Probabilistic
Diffusion Algorithm,
ICIP00(Vol I: 844-847).
IEEE DOI
0008
BibRef
Kimmel, R.[Ron],
Sochen, N.A.[Nir A.],
Orientation Diffusion or How to Comb a Porcupine,
JVCIR(13), No. 1/2, March/June 2002, pp. 238-248.
DOI Link
0204
BibRef
Sochen, N.A.,
Kimmel, R.,
Combing porcupine via stereographic direction diffusion,
ScaleSpace01(xx-yy).
0106
BibRef
Handloviová, A.[Angela],
Mikula, K.[Karol],
Sgallari, F.[Fiorella],
Variational Numerical Methods for Solving Nonlinear Diffusion Equations
Arising in Image Processing,
JVCIR(13), No. 1/2, March/June 2002, pp. 217-237.
DOI Link
0204
BibRef
Krivá, Z.[Zuzana],
Mikula, K.[Karol],
An Adaptive Finite Volume Scheme for Solving Nonlinear Diffusion
Equations in Image Processing,
JVCIR(13), No. 1/2, March/June 2002, pp. 22-35.
DOI Link
0204
BibRef
Grahs, T.[Thorsten],
Sonar, T.[Thomas],
Entropy-Controlled Artificial Anisotropic Diffusion for the Numerical
Solution of Conservation Laws Based on Algorithms from Image Processing,
JVCIR(13), No. 1/2, March/June 2002, pp. 176-194.
DOI Link
0204
BibRef
Boccignone, G.[Giuseppe],
Ferraro, M.[Mario],
Caelli, T.M.[Terry M.],
Generalized Spatio-Chromatic Diffusion,
PAMI(24), No. 10, October 2002, pp. 1298-1309.
IEEE Abstract.
0210
Diffusion for color images.
BibRef
Mrázek, P.[Pavel],
Navara, M.[Mirko],
Selection of Optimal Stopping Time for Nonlinear Diffusion Filtering,
IJCV(52), No. 2-3, May-June 2003, pp. 189-203.
DOI Link
0301
BibRef
Earlier: A1 only:
ScaleSpace01(xx-yy).
0106
BibRef
Shih, A.C.,
Liao, H.M.,
Lu, C.,
A new iterated two-band diffusion equation: theory and its application,
IP(12), No. 4, April 2003, pp. 466-476.
IEEE DOI
0306
BibRef
Barash, D.[Danny],
Schlick, T.[Tamar],
Israeli, M.[Moshe],
Kimmel, R.[Ron],
Multiplicative Operator Splittings in Nonlinear Diffusion:
From Spatial Splitting to Multiple Timesteps,
JMIV(19), No. 1, July 2003, pp. 33-48.
DOI Link
0307
BibRef
Manay, S.,
Yezzi, A.J.,
Anti-Geometric Diffusion for Adaptive Thresholding and Fast
Segmentation,
IP(12), No. 11, November 2003, pp. 1310-1323.
IEEE DOI
0311
BibRef
And:
A second-order PDE tecumque to construct distance functions with more
accurate derivatives,
ICIP03(I: 873-876).
IEEE DOI
0312
BibRef
Earlier:
Anti-geometric Diffusion for Adaptive Thresholding and Segmentation,
ICIP01(II: 829-832).
IEEE DOI
0108
See also Integral Invariants for Shape Matching.
See also Dynamic Shape and Appearance Modeling via Moving and Deforming Layers.
BibRef
Benazza-Benyahia, A.,
Pesquet, J.C.,
Krim, H.,
A nonlinear diffusion-based three-band filter bank,
SPLetters(10), No. 12, December 2003, pp. 360-363.
IEEE Abstract.
0401
BibRef
Bao, Y.F.[Yu-Fang],
Krim, H.[Hamid],
Smart Nonlinear Diffusion: A Probabilistic Approach,
PAMI(26), No. 1, January 2004, pp. 63-72.
IEEE Abstract.
0401
Analysis of diffusion.
See also Scale Space and Edge Detection using Anisotropic Diffusion.
BibRef
Krim, H.,
Bao, Y.,
Nonlinear diffusion: A probabilistic view,
ICIP99(II:21-25).
IEEE DOI
BibRef
9900
Chef d'Hotel, C.,
Tschumperlé, D.,
Deriche, R.,
Faugeras, O.D.,
Regularizing Flows for Constrained Matrix-Valued Images,
JMIV(20), No. 1-2, January-March 2004, pp. 147-162.
DOI Link
0403
BibRef
Earlier:
Constrained Flows of Matrix-Valued Functions:
Application to Diffusion Tensor Regularization,
ECCV02(I: 251 ff.).
Springer DOI
0205
See also Vector-Valued Image Regularization with PDEs: A Common Framework for Different Applications.
BibRef
Bruhn, A.[Andrés],
Jakob, T.[Tobias],
Fischer, M.[Markus],
Kohlberger, T.[Timo],
Weickert, J.[Joachim],
Brüning, U.[Ulrich],
Schnörr, C.[Christoph],
High performance cluster computing with 3-D nonlinear diffusion filters,
RealTimeImg(10), No. 1, February 2004, pp. 41-51.
Elsevier DOI
0405
BibRef
Earlier:
Designing 3-D Nonlinear Diffusion Filters for High Performance Cluster
Computing,
DAGM02(290 ff.).
Springer DOI
0303
BibRef
Kim, H.Y.[Hae Yong],
Giacomantone, J.[Javier],
Cho, Z.H.[Zang Hee],
Robust anisotropic diffusion to produce enhanced statistical parametric
map from noisy fMRI,
CVIU(99), No. 3, September 2005, pp. 435-452.
Elsevier DOI
0508
BibRef
Narayan, B.L.,
Murthy, C.A.,
Pal, S.K.[Sankar K.],
Maxdiff kd-trees for data condensation,
PRL(27), No. 3, February 2006, pp. 187-200.
Elsevier DOI
0512
BibRef
Yu, H.[Hongchuan],
Chua, C.S.[Chin-Seng],
GVF-Based Anisotropic Diffusion Models,
IP(15), No. 6, June 2006, pp. 1517-1524.
IEEE DOI
0606
BibRef
Earlier:
Image Anisotropic Diffusion Based on Gradient Vector Flow Fields,
ECCV04(Vol III: 288-301).
Springer DOI
0405
BibRef
Martin-Herrero, J.[Julio],
Anisotropic Diffusion in the Hypercube,
GeoRS(45), No. 5, May 2007, pp. 1386-1398.
IEEE DOI
0704
BibRef
Duarte-Carvajalino, J.M.[Julio M.],
Castillo, P.E.[Paul E.],
Velez-Reyes, M.[Miguel],
Comparative Study of Semi-Implicit Schemes for Nonlinear Diffusion in
Hyperspectral Imagery,
IP(16), No. 5, May 2007, pp. 1303-1314.
IEEE DOI
0704
BibRef
Duarte-Carvajalino, J.M.,
Sapiro, G.,
Vélez-Reyes, M.[Miguel],
Castillo, P.E.,
Multiscale Representation and Segmentation of Hyperspectral Imagery
Using Geometric Partial Differential Equations and Algebraic Multigrid
Methods,
GeoRS(46), No. 8, August 2008, pp. 2418-2434.
IEEE DOI
0808
BibRef
Lam, S.Y.M.,
Shi, B.E.,
Recursive Anisotropic 2-D Gaussian Filtering Based on a Triple-Axis
Decomposition,
IP(16), No. 7, July 2007, pp. 1925-1930.
IEEE DOI
0707
BibRef
Plonka, G.,
Ma, J.,
Nonlinear Regularized Reaction-Diffusion Filters for Denoising of
Images With Textures,
IP(17), No. 8, August 2008, pp. 1283-1294.
IEEE DOI
0808
BibRef
Galic, I.[Irena],
Weickert, J.[Joachim],
Welk, M.[Martin],
Bruhn, A.[Andrés],
Belyaev, A.[Alexander],
Seidel, H.P.[Hans-Peter],
Image Compression with Anisotropic Diffusion,
JMIV(31), No. 2-3, July 2008, pp. 255-269.
WWW Link.
0711
BibRef
Peter, P.[Pascal],
Weickert, J.[Joachim],
Colour image compression with anisotropic diffusion,
ICIP14(4822-4826)
IEEE DOI
1502
Anisotropic magnetoresistance
BibRef
Mainberger, M.[Markus],
Bruhn, A.[Andres],
Weickert, J.[Joachim],
Forchhammer, S.[Soren],
Edge-based compression of cartoon-like images with homogeneous
diffusion,
PR(44), No. 9, September 2011, pp. 1859-1873.
Elsevier DOI
1106
Image compression, Partial differential equations (PDEs), Laplace
equation, Contour coding, Cartoon-like images, Second-generation
coding, Multigrid
BibRef
Hoffmann, S.[Sebastian],
Mainberger, M.[Markus],
Weickert, J.[Joachim],
Puhl, M.[Michael],
Compression of Depth Maps with Segment-Based Homogeneous Diffusion,
SSVM13(319-330).
Springer DOI
1305
BibRef
Mainberger, M.[Markus],
Weickert, J.[Joachim],
Edge-Based Image Compression with Homogeneous Diffusion,
CAIP09(476-483).
Springer DOI
0909
BibRef
Schmaltz, C.[Christian],
Weickert, J.[Joachim],
Bruhn, A.[Andrés],
Beating the Quality of JPEG 2000 with Anisotropic Diffusion,
DAGM09(452-461).
Springer DOI
0909
BibRef
Guidotti, P.[Patrick],
Lambers, J.V.[James V.],
Two New Nonlinear Nonlocal Diffusions for Noise Reduction,
JMIV(33), No. 1, January 2009, pp. xx-yy.
Springer DOI
0804
BibRef
Gur, Y.[Yaniv],
Sochen, N.A.[Nir A.],
Regularizing Flows over Lie Groups,
JMIV(33), No. 2, February 2009, pp. xx-yy.
Springer DOI
0903
BibRef
Earlier:
Coordinate-Free Diffusion over Compact Lie-Groups,
SSVM07(580-591).
Springer DOI
0705
BibRef
Didas, S.[Stephan],
Weickert, J.[Joachim],
Burgeth, B.[Bernhard],
Properties of Higher Order Nonlinear Diffusion Filtering,
JMIV(33), No. 3, November 2009, pp. xx-yy.
Springer DOI
0909
BibRef
Earlier:
Stability and Local Feature Enhancement of Higher Order Nonlinear
Diffusion Filtering,
DAGM05(451).
Springer DOI
0509
BibRef
Didas, S.[Stephan],
Weickert, J.[Joachim],
From Adaptive Averaging to Accelerated Nonlinear Diffusion Filtering,
DAGM06(101-110).
Springer DOI
0610
BibRef
Breuß, M.[Michael],
Brox, T.[Thomas],
Sonar, T.[Thomas],
Weickert, J.[Joachim],
Stabilised Nonlinear Inverse Diffusion for Approximating Hyperbolic
PDEs,
ScaleSpace05(536-547).
Springer DOI
0505
BibRef
Franken, E.[Erik],
Duits, R.[Remco],
Crossing-Preserving Coherence-Enhancing Diffusion on Invertible
Orientation Scores,
IJCV(85), No. 3, December 2009, pp. xx-yy.
Springer DOI
0911
BibRef
Franken, E.[Erik],
Duits, R.[Remco],
ter Haar Romeny, B.M.[Bart M.],
Curvature Estimation for Enhancement of Crossing Curves,
MMBIA07(1-8).
IEEE DOI
0710
BibRef
Franken, E.[Erik],
Duits, R.[Remco],
Scale Spaces on the 3D Euclidean Motion Group for Enhancement of HARDI
Data,
SSVM09(820-831).
Springer DOI
0906
BibRef
Franken, E.[Erik],
Duits, R.[Remco],
ter Haar Romeny, B.M.[Bart M.],
Nonlinear Diffusion on the 2D Euclidean Motion Group,
SSVM07(461-472).
Springer DOI
0705
BibRef
Duits, R.[Remco],
Franken, E.[Erik],
Line Enhancement and Completion via Linear Left Invariant Scale Spaces
on SE(2),
SSVM09(795-807).
Springer DOI
0906
BibRef
Steidl, G.[Gabriele],
Teuber, T.,
Diffusion Tensors for Processing Sheared and Rotated Rectangles,
IP(18), No. 12, December 2009, pp. 2640-2648.
IEEE DOI
0912
BibRef
Sun, J.[Jian],
Xu, Z.B.[Zong-Ben],
Scale selection for anisotropic diffusion filter by Markov random field
model,
PR(43), No. 8, August 2010, pp. 2630-2645.
Elsevier DOI
1006
Scale selection, Anisotropic diffusion filter, Scale space, Markov
random field model, Tree-reweighted message passing, Image denoising;
Noise estimation
BibRef
Felsberg, M.[Michael],
Autocorrelation-Driven Diffusion Filtering,
IP(20), No. 7, July 2011, pp. 1797-1806.
IEEE DOI
1107
BibRef
Earlier:
On the Relation between Anisotropic Diffusion and Iterated Adaptive
Filtering,
DAGM08(xx-yy).
Springer DOI
0806
BibRef
Ĺström, F.[Freddie],
Felsberg, M.[Michael],
Baravdish, G.[George],
Mapping-Based Image Diffusion,
JMIV(57), No. 3, March 2017, pp. 293-323.
Springer DOI
1702
BibRef
Ĺström, F.[Freddie],
Zografos, V.[Vasileios],
Felsberg, M.[Michael],
Density Driven Diffusion,
SCIA13(718-730).
Springer DOI
1311
BibRef
Sayin, M.O.,
Kozat, S.S.,
Single Bit and Reduced Dimension Diffusion Strategies Over
Distributed Networks,
SPLetters(20), No. 10, 2013, pp. 976-979.
IEEE DOI
1309
Adaptive estimation
BibRef
Dedecius, K.,
Seckarova, V.,
Dynamic Diffusion Estimation in Exponential Family Models,
SPLetters(20), No. 11, 2013, pp. 1114-1117.
IEEE DOI
1310
Abstracts
BibRef
Hu, W.M.[Wei-Ming],
Hu, R.G.[Rui-Guang],
Xie, N.H.[Nian-Hua],
Ling, H.B.[Hai-Bin],
Maybank, S.J.,
Image Classification Using Multiscale Information Fusion Based on
Saliency Driven Nonlinear Diffusion Filtering,
IP(23), No. 4, April 2014, pp. 1513-1526.
IEEE DOI
1404
image classification
BibRef
Hu, W.M.[Wei-Ming],
Xie, N.H.[Nian-Hua],
Hu, R.G.[Rui-Guang],
Ling, H.B.[Hai-Bin],
Chen, Q.,
Yan, S.,
Maybank, S.J.,
Bin Ratio-Based Histogram Distances and Their Application to Image
Classification,
PAMI(36), No. 12, December 2014, pp. 2338-2352.
IEEE DOI
1411
Computational complexity
Due to background variations.
BibRef
Hu, R.G.[Rui-Guang],
Hu, W.M.[Wei-Ming],
Li, J.[Jun],
Saliency Driven Nonlinear Diffusion Filtering for Object Recognition,
ACPR13(381-385)
IEEE DOI
1408
filtering theory
BibRef
Fehrenbach, J.[Jérôme],
Mirebeau, J.M.[Jean-Marie],
Sparse Non-negative Stencils for Anisotropic Diffusion,
JMIV(49), No. 1, May 2014, pp. 123-147.
WWW Link.
1404
BibRef
Nye, T.M.W.,
White, M.C.,
Diffusion on Some Simple Stratified Spaces,
JMIV(50), No. 1-2, September 2014, pp. 115-125.
WWW Link.
Springer DOI
1408
BibRef
Peter, P.[Pascal],
Weickert, J.[Joachim],
Munk, A.[Axel],
Krivobokova, T.[Tatyana],
Li, H.[Housen],
Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics
of Natural Images,
EMMCVPR15(263-277).
Springer DOI
1504
BibRef
Liu, R.,
Zhong, G.,
Cao, J.,
Lin, Z.,
Shan, S.,
Luo, Z.,
Learning to Diffuse:
A New Perspective to Design PDEs for Visual Analysis,
PAMI(38), No. 12, December 2016, pp. 2457-2471.
IEEE DOI
1609
Boundary conditions
BibRef
Guidotti, P.[Patrick],
A Class of Elliptic Equations with Interior Degeneration,
JMIV(58), No. 3, July 2017, pp. 411-426.
Springer DOI
1706
BibRef
Araújo, A.,
Barbeiro, S.,
Cuesta, E.,
Durán, A.,
Cross-Diffusion Systems for Image Processing: II. The Nonlinear Case,
JMIV(58), No. 3, July 2017, pp. 427-446.
Springer DOI
1706
BibRef
And:
Cross-Diffusion Systems for Image Processing: I. The Linear Case,
JMIV(58), No. 3, July 2017, pp. 447-467.
Springer DOI
1706
BibRef
Feng, W.S.[Wen-Sen],
Qiao, P.[Peng],
Xi, X.Y.[Xuan-Yang],
Chen, Y.J.[Yun-Jin],
Image Denoising via Multiscale Nonlinear Diffusion Models,
SIIMS(10), No. 3, 2017, pp. 1234-1257.
DOI Link
1710
BibRef
Liu, J.H.[Jin-Hua],
She, K.[Kun],
Li, Y.M.[Yong-Ming],
Tu, Q.[Qiu],
Image diffusion filtering algorithm combined with variable exponent and
convective constraint,
SIViP(13), No. 1, February 2019, pp. 87-94.
Springer DOI
1901
mage filtering, Diffusion model, Convective constraint,
Variable exponent, Structural similarity.
BibRef
Jiang, P.,
Pan, Z.,
Tu, C.,
Vasconcelos, N.,
Chen, B.,
Peng, J.,
Super Diffusion for Salient Object Detection,
IP(29), 2020, pp. 2903-2917.
IEEE DOI
2002
Object detection, Feature extraction, Diffusion processes,
Laplace equations, Saliency detection, Robustness, Task analysis,
spectral clustering
BibRef
Arridge, S.R.,
Hauptmann, A.,
Networks for Nonlinear Diffusion Problems in Imaging,
JMIV(62), No. 3, April 2020, pp. 471-487.
Springer DOI
2004
BibRef
Hua, F.,
Nassif, R.,
Richard, C.,
Wang, H.,
Sayed, A.H.,
Diffusion LMS With Communication Delays: Stability and Performance
Analysis,
SPLetters(27), 2020, pp. 730-734.
IEEE DOI
2005
Communication delays, distributed estimation, diffusion LMS,
performance analysis, stability
BibRef
Croitoru, F.A.[Florinel-Alin],
Hondru, V.[Vlad],
Ionescu, R.T.[Radu Tudor],
Shah, M.[Mubarak],
Diffusion Models in Vision: A Survey,
PAMI(45), No. 9, September 2023, pp. 10850-10869.
IEEE DOI
2309
Survey, Diffusion.
BibRef
Ma, J.J.[Jia-Jun],
Xu, F.[Fei],
Rong, X.F.[Xiao-Feng],
Discriminative multi-label feature selection with adaptive graph
diffusion,
PR(148), 2024, pp. 110154.
Elsevier DOI
2402
Multi-label learning, Feature selection,
Adaptive graph diffusion, Sparse regularization
BibRef
Wang, X.W.[Xiao-Wen],
Wang, L.[Lanjun],
Su, Y.T.[Yu-Ting],
Zhang, Y.D.[Yong-Dong],
Liu, A.A.[An-An],
MCDAN: A Multi-Scale Context-Enhanced Dynamic Attention Network for
Diffusion Prediction,
MultMed(26), 2024, pp. 7850-7862.
IEEE DOI
2405
Predictive models, Information diffusion, Feature extraction,
Data mining, Task analysis, Context modeling, Annotations,
graph neural networks
BibRef
Hu, H.[Hong],
Li, Z.Q.[Zhuo-Qun],
Zhao, H.V.[H. Vicky],
Understanding Correlated Information Diffusion:
From a Graphical Evolutionary Game Perspective,
SPLetters(31), 2024, pp. 2820-2824.
IEEE DOI
2410
Information diffusion, Games, Analytical models,
Mathematical models, Correlation coefficient, Game theory,
social networks
BibRef
Tian, Y.J.[Yun-Jie],
Xie, L.X.[Ling-Xi],
Qiu, J.H.[Ji-Hao],
Jiao, J.B.[Jian-Bin],
Wang, Y.W.[Yao-Wei],
Tian, Q.[Qi],
Ye, Q.X.[Qi-Xiang],
Fast-iTPN: Integrally Pre-Trained Transformer Pyramid Network With
Token Migration,
PAMI(46), No. 12, December 2024, pp. 9766-9779.
IEEE DOI
2411
Task analysis, Neck, Computational modeling,
Computational efficiency, Image reconstruction, Object detection,
transformer pyramid networks
BibRef
Tian, Y.J.[Yun-Jie],
Xie, L.X.[Ling-Xi],
Wang, Z.Z.[Zhao-Zhi],
Wei, L.H.[Long-Hui],
Zhang, X.P.[Xiao-Peng],
Jiao, J.B.[Jian-Bin],
Wang, Y.[Yaowei],
Tian, Q.[Qi],
Ye, Q.X.[Qi-Xiang],
Integrally Pre-Trained Transformer Pyramid Networks,
CVPR23(18610-18620)
IEEE DOI
2309
BibRef
Wang, G.H.[Guo-Hua],
Wu, J.X.[Jian-Xin],
Practical Network Acceleration With Tiny Sets: Hypothesis, Theory,
and Algorithm,
PAMI(46), No. 12, December 2024, pp. 9272-9285.
IEEE DOI
2411
BibRef
Earlier:
Practical Network Acceleration with Tiny Sets,
CVPR23(20331-20340)
IEEE DOI
2309
Training, Accuracy, Training data, Image coding, Optimization,
Data privacy, Convex functions, Deep neural network,
image classification
BibRef
Rout, L.[Litu],
Chen, Y.[Yujia],
Kumar, A.[Abhishek],
Caramanis, C.[Constantine],
Shakkottai, S.[Sanjay],
Chu, W.S.[Wen-Sheng],
Beyond First-Order Tweedie:
Solving Inverse Problems using Latent Diffusion,
CVPR24(9472-9481)
IEEE DOI
2410
Inverse problems, Diffusion processes, Benchmark testing,
Distortion, Diffusion models,
Second-order Tweedie
BibRef
Hut, M.H.[Ming-Hui],
Zheng, J.B.[Jian-Bin],
Zheng, C.X.[Chuan-Xia],
Wang, C.[Chaoyue],
Tao, D.C.[Da-Cheng],
Cham, T.J.[Tat-Jen],
One More Step: A Versatile Plug-and-Play Module for Rectifying
Diffusion Schedule Flaws and Enhancing Low-Frequency Controls,
CVPR24(7331-7340)
IEEE DOI
2410
Training, Schedules, Noise reduction, Brightness, Training data,
Diffusion models, Numerical models, Diffusion Models, generative models
BibRef
Huang, Y.S.[Yu-Shi],
Gong, R.[Ruihao],
Liu, J.[Jing],
Chen, T.L.[Tian-Long],
Liu, X.L.[Xiang-Long],
TFMQ-DM: Temporal Feature Maintenance Quantization for Diffusion
Models,
CVPR24(7362-7371)
IEEE DOI Code:
WWW Link.
2410
Quantization (signal), Computational modeling, Noise reduction,
Diffusion models, Maintenance, Calibration, Trajectory,
Temmporal Feature
BibRef
Zhang, H.J.[Hui-Jie],
Lu, Y.[Yifu],
Alkhouri, I.[Ismail],
Ravishankar, S.[Saiprasad],
Song, D.[Dogyoon],
Qu, Q.[Qing],
Improving Training Efficiency of Diffusion Models via Multi-Stage
Framework and Tailored Multi-Decoder Architecture,
CVPR24(7372-7381)
IEEE DOI
2410
Training, Noise, Computer architecture, Interference,
Diffusion models, Trajectory
BibRef
Wu, Y.W.[Yin-Wei],
Yang, X.Y.[Xing-Yi],
Wang, X.C.[Xin-Chao],
Relation Rectification in Diffusion Model,
CVPR24(7685-7694)
IEEE DOI Code:
WWW Link.
2410
Visualization, Accuracy, Graph convolutional networks,
Computational modeling, Diffusion models, Reflection, Diffusion Models
BibRef
Chen, Y.[Yinbo],
Wang, O.[Oliver],
Zhang, R.[Richard],
Shechtman, E.[Eli],
Wang, X.L.[Xiao-Long],
Gharbi, M.[Michael],
Image Neural Field Diffusion Models,
CVPR24(8007-8017)
IEEE DOI
2410
Training, Inverse problems, Computational modeling,
Superresolution, Diffusion models, Data models
BibRef
Xue, S.C.[Shu-Chen],
Liu, Z.Q.[Zhao-Qiang],
Chen, F.[Fei],
Zhang, S.F.[Shi-Feng],
Hu, T.Y.[Tian-Yang],
Xie, E.[Enze],
Li, Z.G.[Zhen-Guo],
Accelerating Diffusion Sampling with Optimized Time Steps,
CVPR24(8292-8301)
IEEE DOI Code:
WWW Link.
2410
Accuracy, Image synthesis, Optimization methods, Diffusion models,
Sampling methods
BibRef
Kong, F.[Fei],
Duan, J.[Jinhao],
Sun, L.C.[Li-Chao],
Cheng, H.[Hao],
Xu, R.[Renjing],
Shen, H.[Hengtao],
Zhu, X.F.[Xiao-Feng],
Shi, X.S.[Xiao-Shuang],
Xu, K.D.[Kai-Di],
ACT-Diffusion: Efficient Adversarial Consistency Training for
One-Step Diffusion Models,
CVPR24(8890-8899)
IEEE DOI Code:
WWW Link.
2410
Training, Adaptation models, Upper bound, Costs, Image synthesis,
Noise reduction, Diffusion models
BibRef
Bai, X.J.[Xing-Jian],
Melas-Kyriazi, L.[Luke],
Fixed Point Diffusion Models,
CVPR24(9430-9440)
IEEE DOI Code:
WWW Link.
2410
Training, Smoothing methods, Image synthesis,
Computational modeling, Noise reduction, Stochastic processes, Diffusion models
BibRef
Dufour, N.[Nicolas],
Besnier, V.[Victor],
Kalogeiton, V.[Vicky],
Picard, D.[David],
Don't Drop Your Samples! Coherence-Aware Training Benefits
Conditional Diffusion,
CVPR24(6264-6273)
IEEE DOI
2410
Training, Solid modeling, Annotations, Computational modeling,
Semantic segmentation, Coherence, Diffusion models, diffusion,
semantically conditional generation
BibRef
Xia, M.F.[Meng-Fei],
Shen, Y.J.[Yu-Jun],
Lei, C.S.[Chang-Song],
Zhou, Y.[Yu],
Zhao, D.L.[De-Li],
Yi, R.[Ran],
Wang, W.P.[Wen-Ping],
Liu, Y.J.[Yong-Jin],
Towards More Accurate Diffusion Model Acceleration with a Timestep
Tuner,
CVPR24(5736-5745)
IEEE DOI Code:
WWW Link.
2410
Degradation, Accuracy, Tuners, Costs, Codes, Noise reduction
BibRef
Tian, J.J.[Jun-Jiao],
Aggarwal, L.[Lavisha],
Colaco, A.[Andrea],
Kira, Z.[Zsolt],
Gonzalez-Franco, M.[Mar],
Diffuse, Attend, and Segment:
Unsupervised Zero-Shot Segmentation using Stable Diffusion,
CVPR24(3554-3563)
IEEE DOI Code:
WWW Link.
2410
Training, Image segmentation, Satellites, Merging, Diffusion models,
segmentation, diffusion model, zero-shot, unsupervised
BibRef
Liu, Y.H.[Yu-Hao],
Ke, Z.[Zhanghan],
Liu, F.[Fang],
Zhao, N.X.[Nan-Xuan],
Lau, R.W.H.[Rynson W.H.],
Diff-Plugin: Revitalizing Details for Diffusion-Based Low-Level Tasks,
CVPR24(4197-4208)
IEEE DOI Code:
WWW Link.
2410
Training, Visualization, Image synthesis, Snow, Natural languages,
Diffusion processes
BibRef
Zhao, Z.Y.[Zhong-Yin],
Chen, Y.[Ye],
Hu, Z.L.[Zhang-Li],
Chen, X.H.[Xuan-Hong],
Ni, B.B.[Bing-Bing],
Vector Graphics Generation via Mutually Impulsed Dual-Domain
Diffusion,
CVPR24(4420-4428)
IEEE DOI
2410
Visualization, Image coding, Shape, Image synthesis, Shape measurement,
Measurement uncertainty, Production, Diffusion model
BibRef
Thamizharasan, V.[Vikas],
Liu, D.[Difan],
Fisher, M.[Matthew],
Zhao, N.X.[Nan-Xuan],
Kalogerakis, E.[Evangelos],
Lukác, M.[Michal],
NIVeL: Neural Implicit Vector Layers for Text-to-Vector Generation,
CVPR24(4589-4597)
IEEE DOI
2410
Geometry, Shape, Noise reduction, Training data, Diffusion models,
Vectors, diffusion models, vector graphics, neural implicit fields,
text-to-vector generation
BibRef
Zhang, B.[Biao],
Wonka, P.[Peter],
Functional Diffusion,
CVPR24(4723-4732)
IEEE DOI
2410
Deformation, Shape, Computer architecture, Diffusion models,
Transformers, generative models, geometry modeling
BibRef
Si, C.Y.[Chen-Yang],
Huang, Z.Q.[Zi-Qi],
Jiang, Y.M.[Yu-Ming],
Liu, Z.W.[Zi-Wei],
FreeU: Free Lunch in Diffusion U-Net,
CVPR24(4733-4743)
IEEE DOI
2410
Training, Image synthesis, Noise reduction, Semantics, Noise,
Computer architecture
BibRef
Everaert, M.N.[Martin Nicolas],
Fitsios, A.[Athanasios],
Bocchio, M.[Marco],
Arpa, S.[Sami],
Süsstrunk, S.[Sabine],
Achanta, R.[Radhakrishna],
Exploiting the Signal-Leak Bias in Diffusion Models,
WACV24(4013-4022)
IEEE DOI
2404
Training, Adaptation models, Image color analysis, Image synthesis,
Frequency-domain analysis, Brightness, Pipelines, Algorithms,
Arts / games / social media
BibRef
Park, D.H.[Dong Huk],
Luo, G.[Grace],
Toste, C.[Clayton],
Azadi, S.[Samaneh],
Liu, X.H.[Xi-Hui],
Karalashvili, M.[Maka],
Rohrbach, A.[Anna],
Darrell, T.J.[Trevor J.],
Shape-Guided Diffusion with Inside-Outside Attention,
WACV24(4186-4195)
IEEE DOI Code:
WWW Link.
2404
Degradation, Measurement, Codes, Shape, Benchmark testing,
Task analysis, Algorithms, Computational photography, image and video synthesis
BibRef
Sarukkai, V.[Vishnu],
Li, L.[Linden],
Ma, A.[Arden],
Ré, C.[Christopher],
Fatahalian, K.[Kayvon],
Collage Diffusion,
WACV24(4196-4205)
IEEE DOI
2404
Visualization, Image synthesis, Process control, Algorithms,
Computational photography, image and video synthesis, Algorithms
BibRef
Cao, J.H.[Jia-Hang],
Wang, Z.Q.[Zi-Qing],
Guo, H.Z.[Han-Zhong],
Cheng, H.[Hao],
Zhang, Q.[Qiang],
Xu, R.[Renjing],
Spiking Denoising Diffusion Probabilistic Models,
WACV24(4900-4909)
IEEE DOI Code:
WWW Link.
2404
Training, Energy consumption, Biological system modeling,
Noise reduction, Energy conservation, Computer architecture, Visualization
BibRef
Haas, R.[René],
Huberman-Spiegelglas, I.[Inbar],
Mulayoff, R.[Rotem],
Graßhof, S.[Stella],
Brandt, S.S.[Sami S.],
Michaeli, T.[Tomer],
Discovering Interpretable Directions in the Semantic Latent Space of
Diffusion Models,
FG24(1-9)
IEEE DOI
2408
Jacobian matrices, Image synthesis, Face recognition, Semantics,
Noise reduction, Gesture recognition, Diffusion models
BibRef
Elata, N.[Noam],
Kawar, B.[Bahjat],
Michaeli, T.[Tomer],
Elad, M.[Michael],
Nested Diffusion Processes for Anytime Image Generation,
WACV24(4995-5004)
IEEE DOI
2404
Image synthesis, Inverse problems, Computational modeling,
Noise reduction, Diffusion processes, Probabilistic logic
BibRef
Hur, J.[Jiwan],
Choi, J.[Jaehyun],
Han, G.[Gyojin],
Lee, D.J.[Dong-Jae],
Kim, J.[Junmo],
Expanding Expressiveness of Diffusion Models with Limited Data via
Self-Distillation based Fine-Tuning,
WACV24(5016-5025)
IEEE DOI
2404
Training, Shape, Image color analysis, Computational modeling,
Computer architecture, Data models, Algorithms,
image and video synthesis
BibRef
Zhang, J.[Jeffrey],
Chang, S.Y.[Shao-Yu],
Li, K.[Kedan],
Forsyth, D.[David],
Preserving Image Properties Through Initializations in Diffusion
Models,
WACV24(5230-5238)
IEEE DOI
2404
Training, Photography, Image synthesis, Image color analysis, Noise,
Lighting, Algorithms, Generative models for image, video, 3D, etc.,
Commercial / retail
BibRef
Lin, S.C.[Shan-Chuan],
Liu, B.C.[Bing-Chen],
Li, J.S.[Jia-Shi],
Yang, X.[Xiao],
Common Diffusion Noise Schedules and Sample Steps are Flawed,
WACV24(5392-5399)
IEEE DOI
2404
Training, Schedules, Gaussian noise, Computational modeling,
Brightness, Diffusion processes, Algorithms,
image and video synthesis
BibRef
Jamwal, V.[Vikram],
Ramaneswaran, S.,
Composite Diffusion: whole >= Sigma-parts,
WACV24(7206-7215)
IEEE DOI
2404
Surveys, Measurement, Image quality, Image segmentation, Art,
Image synthesis, Applications, Arts / games / social media
BibRef
Wang, Y.Y.[Yuan-Yuan],
Li, X.J.[Xiang-Jun],
The last two decades of Studies in diffusion models:
A bibliometric analysis,
CVIDL23(399-403)
IEEE DOI
2403
Analytical models, Biological system modeling, Computational modeling,
frontier domains
BibRef
Torem, N.[Nadav],
Ronen, R.[Roi],
Schechner, Y.Y.[Yoav Y.],
Elad, M.[Michael],
Complex-Valued Retrievals From Noisy Images Using Diffusion Models,
BioIm23(3812-3822)
IEEE DOI
2401
BibRef
Yu, J.W.[Ji-Wen],
Wang, Y.[Yinhuai],
Zhao, C.[Chen],
Ghanem, B.[Bernard],
Zhang, J.[Jian],
FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model,
ICCV23(23117-23127)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wallace, B.[Bram],
Gokul, A.[Akash],
Ermon, S.[Stefano],
Naik, N.[Nikhil],
End-to-End Diffusion Latent Optimization Improves Classifier Guidance,
ICCV23(7246-7256)
IEEE DOI
2401
BibRef
Hang, T.K.[Tian-Kai],
Gu, S.Y.[Shu-Yang],
Li, C.[Chen],
Bao, J.M.[Jian-Min],
Chen, D.[Dong],
Hu, H.[Han],
Geng, X.[Xin],
Guo, B.[Baining],
Efficient Diffusion Training via Min-SNR Weighting Strategy,
ICCV23(7407-7417)
IEEE DOI Code:
WWW Link.
2401
BibRef
Li, X.[Xiuyu],
Liu, Y.J.[Yi-Jiang],
Lian, L.[Long],
Yang, H.R.[Huan-Rui],
Dong, Z.[Zhen],
Kang, D.[Daniel],
Zhang, S.H.[Shang-Hang],
Keutzer, K.[Kurt],
Q-Diffusion: Quantizing Diffusion Models,
ICCV23(17489-17499)
IEEE DOI
2401
BibRef
Li, L.J.[Li-Jiang],
Li, H.X.[Hui-Xia],
Zheng, X.[Xiawu],
Wu, J.[Jie],
Xiao, X.F.[Xue-Feng],
Wang, R.[Rui],
Zheng, M.[Min],
Pan, X.[Xin],
Chao, F.[Fei],
Ji, R.R.[Rong-Rong],
AutoDiffusion: Training-Free Optimization of Time Steps and
Architectures for Automated Diffusion Model Acceleration,
ICCV23(7082-7091)
IEEE DOI
2401
BibRef
Xu, X.Q.[Xing-Qian],
Wang, Z.Y.[Zhang-Yang],
Zhang, E.[Eric],
Wang, K.[Kai],
Shi, H.[Humphrey],
Versatile Diffusion: Text, Images and Variations All in One Diffusion
Model,
ICCV23(7720-7731)
IEEE DOI Code:
WWW Link.
2401
BibRef
Gandikota, R.[Rohit],
Materzynska, J.[Joanna],
Fiotto-Kaufman, J.[Jaden],
Bau, D.[David],
Erasing Concepts from Diffusion Models,
ICCV23(2426-2436)
IEEE DOI
2401
BibRef
Tyszkiewicz, M.J.[Michal J.],
Fua, P.[Pascal],
Trulls, E.[Eduard],
GECCO: Geometrically-Conditioned Point Diffusion Models,
ICCV23(2128-2138)
IEEE DOI
2401
BibRef
Bolya, D.[Daniel],
Hoffman, J.[Judy],
Token Merging for Fast Stable Diffusion,
ECV23(4599-4603)
IEEE DOI
2309
BibRef
Bansal, A.[Arpit],
Chu, H.M.[Hong-Min],
Schwarzschild, A.[Avi],
Sengupta, S.[Soumyadip],
Goldblum, M.[Micah],
Geiping, J.[Jonas],
Goldstein, T.[Tom],
Universal Guidance for Diffusion Models,
GCV23(843-852)
IEEE DOI
2309
BibRef
Chen, Z.[Zijiao],
Qing, J.X.[Jia-Xin],
Xiang, T.[Tiange],
Yue, W.L.[Wan Lin],
Zhou, J.H.[Juan Helen],
Seeing Beyond the Brain: Conditional Diffusion Model with Sparse
Masked Modeling for Vision Decoding,
CVPR23(22710-22720)
IEEE DOI
2309
BibRef
Wang, Z.[Ze],
Wang, J.[Jiang],
Liu, Z.C.[Zi-Cheng],
Qiu, Q.[Qiang],
Binary Latent Diffusion,
CVPR23(22576-22585)
IEEE DOI
2309
BibRef
Yang, X.Y.[Xing-Yi],
Zhou, D.[Daquan],
Feng, J.S.[Jia-Shi],
Wang, X.C.[Xin-Chao],
Diffusion Probabilistic Model Made Slim,
CVPR23(22552-22562)
IEEE DOI
2309
BibRef
Wallace, B.[Bram],
Gokul, A.[Akash],
Naik, N.[Nikhil],
EDICT: Exact Diffusion Inversion via Coupled Transformations,
CVPR23(22532-22541)
IEEE DOI
2309
BibRef
Chung, H.[Hyungjin],
Ryu, D.[Dohoon],
Mccann, M.T.[Michael T.],
Klasky, M.L.[Marc L.],
Ye, J.C.[Jong Chul],
Solving 3D Inverse Problems Using Pre-Trained 2D Diffusion Models,
CVPR23(22542-22551)
IEEE DOI
2309
BibRef
Yu, S.[Sihyun],
Sohn, K.[Kihyuk],
Kim, S.B.[Su-Bin],
Shin, J.[Jinwoo],
Video Probabilistic Diffusion Models in Projected Latent Space,
CVPR23(18456-18466)
IEEE DOI
2309
BibRef
Liu, B.[Bowen],
Chen, Y.[Yu],
Machineni, R.C.[Rakesh Chowdary],
Liu, S.Y.[Shi-Yu],
Kim, H.S.[Hun-Seok],
MMVC: Learned Multi-Mode Video Compression with Block-based
Prediction Mode Selection and Density-Adaptive Entropy Coding,
CVPR23(18487-18496)
IEEE DOI
2309
BibRef
Gomes, C.[Carlos],
Azevedo, R.[Roberto],
Schroers, C.[Christopher],
Video Compression with Entropy-Constrained Neural Representations,
CVPR23(18497-18506)
IEEE DOI
2309
BibRef
Saragadam, V.[Vishwanath],
LeJeune, D.[Daniel],
Tan, J.[Jasper],
Balakrishnan, G.[Guha],
Veeraraghavan, A.[Ashok],
Baraniuk, R.G.[Richard G.],
WIRE: Wavelet Implicit Neural Representations,
CVPR23(18507-18516)
IEEE DOI
2309
BibRef
Yang, R.[Runzhao],
TINC: Tree-Structured Implicit Neural Compression,
CVPR23(18517-18526)
IEEE DOI
2309
BibRef
Lu, H.[Hao],
Yu, Z.T.[Zi-Tong],
Niu, X.S.[Xue-Song],
Chen, Y.C.[Ying-Cong],
Neuron Structure Modeling for Generalizable Remote Physiological
Measurement,
CVPR23(18589-18599)
IEEE DOI
2309
BibRef
Kolek, S.[Stefan],
Windesheim, R.[Robert],
Andrade-Loarca, H.[Hector],
Kutyniok, G.[Gitta],
Levie, R.[Ron],
Explaining Image Classifiers with Multiscale Directional Image
Representation,
CVPR23(18600-18609)
IEEE DOI
2309
BibRef
Gao, S.Y.[Shen-Yuan],
Zhou, C.L.[Chun-Luan],
Zhang, J.[Jun],
Generalized Relation Modeling for Transformer Tracking,
CVPR23(18686-18695)
IEEE DOI
2309
BibRef
Zhao, H.J.[Hao-Jie],
Wang, D.[Dong],
Lu, H.C.[Hu-Chuan],
Representation Learning for Visual Object Tracking by Masked
Appearance Transfer,
CVPR23(18696-18705)
IEEE DOI
2309
BibRef
Girase, H.[Harshayu],
Agarwal, N.[Nakul],
Choi, C.[Chiho],
Mangalam, K.[Karttikeya],
Latency Matters: Real-Time Action Forecasting Transformer,
CVPR23(18759-18769)
IEEE DOI
2309
BibRef
Tan, C.[Cheng],
Gao, Z.Y.[Zhang-Yang],
Wu, L.R.[Li-Rong],
Xu, Y.J.[Yong-Jie],
Xia, J.[Jun],
Li, S.Y.[Si-Yuan],
Li, S.Z.[Stan Z.],
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive
Learning,
CVPR23(18770-18782)
IEEE DOI
2309
BibRef
Ge, Y.Y.[Yu-Ying],
Macaluso, A.[Annabella],
Li, L.E.[Li Erran],
Luo, P.[Ping],
Wang, X.L.[Xiao-Long],
Policy Adaptation from Foundation Model Feedback,
CVPR23(19059-19069)
IEEE DOI
2309
BibRef
Khattak, M.U.[Muhammad Uzair],
Rasheed, H.[Hanoona],
Maaz, M.[Muhammad],
Khan, S.[Salman],
Khan, F.S.[Fahad Shahbaz],
MaPLe: Multi-modal Prompt Learning,
CVPR23(19113-19122)
IEEE DOI
2309
BibRef
Chen, A.[Aochuan],
Yao, Y.G.[Yu-Guang],
Chen, P.Y.[Pin-Yu],
Zhang, Y.H.[Yi-Hua],
Liu, S.J.[Si-Jia],
Understanding and Improving Visual Prompting: A Label-Mapping
Perspective,
CVPR23(19133-19143)
IEEE DOI
2309
BibRef
Kim, J.[Jinwoo],
Choi, J.[Janghyuk],
Choi, H.J.[Ho-Jin],
Kim, S.J.[Seon Joo],
Shepherding Slots to Objects: Towards Stable and Robust
Object-Centric Learning,
CVPR23(19198-19207)
IEEE DOI
2309
BibRef
El Banani, M.[Mohamed],
Desai, K.[Karan],
Johnson, J.[Justin],
Learning Visual Representations via Language-Guided Sampling,
CVPR23(19208-19220)
IEEE DOI
2309
BibRef
Pan, Z.X.[Zheng-Xin],
Wu, F.Y.[Fang-Yu],
Zhang, B.L.[Bai-Ling],
Fine-grained Image-Text Matching by Cross-modal Hard Aligning Network,
CVPR23(19275-19284)
IEEE DOI
2309
BibRef
Iscen, A.[Ahmet],
Fathi, A.[Alireza],
Schmid, C.[Cordelia],
Improving Image Recognition by Retrieving from Web-Scale Image-Text
Data,
CVPR23(19295-19304)
IEEE DOI
2309
BibRef
Saito, K.[Kuniaki],
Sohn, K.[Kihyuk],
Zhang, X.[Xiang],
Li, C.L.[Chun-Liang],
Lee, C.Y.[Chen-Yu],
Saenko, K.[Kate],
Pfister, T.[Tomas],
Pic2Word: Mapping Pictures to Words for Zero-shot Composed Image
Retrieval,
CVPR23(19305-19314)
IEEE DOI
2309
BibRef
Ye, M.Y.[Mao-Yuan],
Zhang, J.[Jing],
Zhao, S.S.[Shan-Shan],
Liu, J.[Juhua],
Liu, T.L.[Tong-Liang],
Du, B.[Bo],
Tao, D.C.[Da-Cheng],
DeepSolo: Let Transformer Decoder with Explicit Points Solo for Text
Spotting,
CVPR23(19348-19357)
IEEE DOI
2309
BibRef
Fang, Y.X.[Yu-Xin],
Wang, W.[Wen],
Xie, B.[Binhui],
Sun, Q.[Quan],
Wu, L.[Ledell],
Wang, X.G.[Xing-Gang],
Huang, T.J.[Tie-Jun],
Wang, X.L.[Xin-Long],
Cao, Y.[Yue],
EVA: Exploring the Limits of Masked Visual Representation Learning at
Scale,
CVPR23(19358-19369)
IEEE DOI
2309
BibRef
Zhu, S.[Sijie],
Yang, L.J.[Lin-Jie],
Chen, C.[Chen],
Shah, M.[Mubarak],
Shen, X.H.[Xiao-Hui],
Wang, H.[Heng],
$R^2$ Former: Unified Retrieval and Reranking Transformer for Place
Recognition,
CVPR23(19370-19380)
IEEE DOI
2309
BibRef
Ofri-Amar, D.[Dolev],
Geyer, M.[Michal],
Kasten, Y.[Yoni],
Dekel, T.[Tali],
Neural Congealing: Aligning Images to a Joint Semantic Atlas,
CVPR23(19403-19412)
IEEE DOI
2309
BibRef
Liu, W.H.[Wei-Huang],
Shen, X.[Xi],
Pun, C.M.[Chi-Man],
Cun, X.D.[Xiao-Dong],
Explicit Visual Prompting for Low-Level Structure Segmentations,
CVPR23(19434-19445)
IEEE DOI
2309
BibRef
Fan, Y.F.[Yun-Feng],
Xu, W.C.[Wen-Chao],
Wang, H.Z.[Hao-Zhao],
Wang, J.X.[Jun-Xiao],
Guo, S.[Song],
PMR: Prototypical Modal Rebalance for Multimodal Learning,
CVPR23(20029-20038)
IEEE DOI
2309
BibRef
Wei, S.[Shicai],
Luo, C.[Chunbo],
Luo, Y.[Yang],
MMANet: Margin-Aware Distillation and Modality-Aware Regularization
for Incomplete Multimodal Learning,
CVPR23(20039-20049)
IEEE DOI
2309
BibRef
Wang, S.[Shuai],
Zhang, D.[Daoan],
Yan, Z.[Zipei],
Zhang, J.G.[Jian-Guo],
Li, R.[Rui],
Feature Alignment and Uniformity for Test Time Adaptation,
CVPR23(20050-20060)
IEEE DOI
2309
BibRef
Li, Z.H.[Zhi-Heng],
Evtimov, I.[Ivan],
Gordo, A.[Albert],
Hazirbas, C.[Caner],
Hassner, T.[Tal],
Ferrer, C.C.[Cristian Canton],
Xu, C.L.[Chen-Liang],
Ibrahim, M.[Mark],
A Whac-A-Mole Dilemma: Shortcuts Come in Multiples Where Mitigating
One Amplifies Others,
CVPR23(20071-20082)
IEEE DOI
2309
BibRef
Ye, J.W.[Jing-Wen],
Liu, S.[Songhua],
Wang, X.C.[Xin-Chao],
Partial Network Cloning,
CVPR23(20137-20146)
IEEE DOI
2309
BibRef
Peńa, F.A.G.[Fidel A. Guerrero],
Medeiros, H.R.[Heitor Rapela],
Dubail, T.[Thomas],
Aminbeidokhti, M.[Masih],
Granger, E.[Eric],
Pedersoli, M.[Marco],
Re-basin via implicit Sinkhorn differentiation,
CVPR23(20237-20246)
IEEE DOI
2309
BibRef
Zhang, X.X.[Xing-Xuan],
Xu, R.Z.[Ren-Zhe],
Yu, H.[Han],
Zou, H.[Hao],
Cui, P.[Peng],
Gradient Norm Aware Minimization Seeks First-Order Flatness and
Improves Generalization,
CVPR23(20247-20257)
IEEE DOI
2309
BibRef
Han, M.Q.[Meng-Qiao],
Pan, L.Y.[Li-Yuan],
Liu, X.B.[Xia-Bi],
AstroNet: When Astrocyte Meets Artificial Neural Network,
CVPR23(20258-20268)
IEEE DOI
2309
BibRef
Ding, N.[Ning],
Tang, Y.[Yehui],
Han, K.[Kai],
Xu, C.[Chao],
Wang, Y.H.[Yun-He],
Network Expansion For Practical Training Acceleration,
CVPR23(20269-20279)
IEEE DOI
2309
BibRef
Ren, J.[Jie],
Li, M.J.[Ming-Jie],
Chen, Q.[Qirui],
Deng, H.Q.[Hui-Qi],
Zhang, Q.[Quanshi],
Defining and Quantifying the Emergence of Sparse Concepts in DNNs,
CVPR23(20280-20289)
IEEE DOI
2309
BibRef
Garg, I.[Isha],
Roy, K.[Kaushik],
Samples with Low Loss Curvature Improve Data Efficiency,
CVPR23(20290-20300)
IEEE DOI
2309
BibRef
Xiao, Y.[Yao],
Tang, Z.[Ziyi],
Wei, P.X.[Peng-Xu],
Liu, C.[Cong],
Lin, L.[Liang],
Masked Images Are Counterfactual Samples for Robust Fine-Tuning,
CVPR23(20301-20310)
IEEE DOI
2309
BibRef
Qraitem, M.[Maan],
Saenko, K.[Kate],
Plummer, B.A.[Bryan A.],
Bias Mimicking: A Simple Sampling Approach for Bias Mitigation,
CVPR23(20311-20320)
IEEE DOI
2309
BibRef
Tomar, D.[Devavrat],
Vray, G.[Guillaume],
Bozorgtabar, B.[Behzad],
Thiran, J.P.[Jean-Philippe],
TeSLA: Test-Time Self-Learning With Automatic Adversarial
Augmentation,
CVPR23(20341-20350)
IEEE DOI
2309
BibRef
Li, X.D.[Xiao-Dan],
Chen, Y.F.[Yue-Feng],
Zhu, Y.[Yao],
Wang, S.H.[Shu-Hui],
Zhang, R.[Rong],
Xue, H.[Hui],
ImageNet-E: Benchmarking Neural Network Robustness via Attribute
Editing,
CVPR23(20371-20381)
IEEE DOI
2309
BibRef
Huang, H.[Hao],
Chen, Z.Y.[Zi-Yan],
Chen, H.[Huanran],
Wang, Y.T.[Yong-Tao],
Zhang, K.[Kevin],
T-SEA: Transfer-Based Self-Ensemble Attack on Object Detection,
CVPR23(20514-20523)
IEEE DOI
2309
BibRef
Yin, S.L.[Sheng-Lin],
Yao, K.[Kelu],
Shi, S.[Sheng],
Du, Y.Z.[Yang-Zhou],
Xiao, Z.[Zhen],
AGAIN: Adversarial Training with Attribution Span Enlargement and
Hybrid Feature Fusion,
CVPR23(20544-20553)
IEEE DOI
2309
BibRef
Wang, H.J.[Hong-Jun],
Wang, Y.[Yisen],
Generalist: Decoupling Natural and Robust Generalization,
CVPR23(20554-20563)
IEEE DOI
2309
BibRef
Wang, Y.[Yimu],
Zhang, D.[Dinghuai],
Wu, Y.[Yihan],
Huang, H.[Heng],
Zhang, H.Y.[Hong-Yang],
Cooperation or Competition: Avoiding Player Domination for
Multi-Target Robustness via Adaptive Budgets,
CVPR23(20564-20574)
IEEE DOI
2309
BibRef
Lin, H.T.[Hao-Tong],
Wang, Q.Q.[Qian-Qian],
Cai, R.[Ruojin],
Peng, S.[Sida],
Averbuch-Elor, H.[Hadar],
Zhou, X.W.[Xiao-Wei],
Snavely, N.[Noah],
Neural Scene Chronology,
CVPR23(20752-20761)
IEEE DOI
2309
BibRef
Côté, G.[Geoffroi],
Mannan, F.[Fahim],
Thibault, S.[Simon],
Lalonde, J.F.[Jean-François],
Heide, F.[Felix],
The Differentiable Lens: Compound Lens Search over Glass Surfaces and
Materials for Object Detection,
CVPR23(20803-20812)
IEEE DOI
2309
BibRef
Kawahara, R.[Ryo],
Kuo, M.Y.J.[Meng-Yu Jennifer],
Nobuhara, S.[Shohei],
Teleidoscopic Imaging System for Microscale 3D Shape Reconstruction,
CVPR23(20813-20822)
IEEE DOI
2309
BibRef
Qiu, J.X.[Jia-Xiong],
Jiang, P.T.[Peng-Tao],
Zhu, Y.F.[Yi-Fan],
Yin, Z.X.[Ze-Xin],
Cheng, M.M.[Ming-Ming],
Ren, B.[Bo],
Looking Through the Glass: Neural Surface Reconstruction Against High
Specular Reflections,
CVPR23(20823-20833)
IEEE DOI
2309
BibRef
Zhang, C.[Congyi],
Lin, G.[Guying],
Yang, L.[Lei],
Li, X.[Xin],
Komura, T.[Taku],
Schaefer, S.[Scott],
Keyser, J.[John],
Wang, W.P.[Wen-Ping],
Surface Extraction from Neural Unsigned Distance Fields,
ICCV23(22474-22483)
IEEE DOI
2401
BibRef
Wang, Y.M.[Yi-Ming],
Han, Q.[Qin],
Habermann, M.[Marc],
Daniilidis, K.[Kostas],
Theobalt, C.[Christian],
Liu, L.J.[Ling-Jie],
NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view
Reconstruction,
ICCV23(3272-3283)
IEEE DOI Code:
WWW Link.
2401
BibRef
Long, X.X.[Xiao-Xiao],
Lin, C.[Cheng],
Liu, L.J.[Ling-Jie],
Liu, Y.[Yuan],
Wang, P.[Peng],
Theobalt, C.[Christian],
Komura, T.[Taku],
Wang, W.P.[Wen-Ping],
NeuralUDF: Learning Unsigned Distance Fields for Multi-View
Reconstruction of Surfaces with Arbitrary Topologies,
CVPR23(20834-20843)
IEEE DOI
2309
BibRef
Dogaru, A.[Andreea],
Ardelean, A.T.[Andrei Timotei],
Ignatyev, S.[Savva],
Zakharov, E.[Egor],
Burnaev, E.[Evgeny],
Sphere-Guided Training of Neural Implicit Surfaces,
CVPR23(20844-20853)
IEEE DOI
2309
BibRef
Sawdayee, H.[Haim],
Vaxman, A.[Amir],
Bermano, A.H.[Amit H.],
OReX: Object Reconstruction from Planar Cross-sections Using Neural
Fields,
CVPR23(20854-20862)
IEEE DOI
2309
BibRef
Hu, V.T.[Vincent Tao],
Zhang, D.W.[David W.],
Asano, Y.M.[Yuki M.],
Burghouts, G.J.[Gertjan J.],
Snoek, C.G.M.[Cees G. M.],
Self-Guided Diffusion Models,
CVPR23(18413-18422)
IEEE DOI
2309
BibRef
Karnewar, A.[Animesh],
Vedaldi, A.[Andrea],
Novotny, D.[David],
Mitra, N.J.[Niloy J.],
HOLODIFFUSION: Training a 3D Diffusion Model Using 2D Images,
CVPR23(18423-18433)
IEEE DOI
2309
BibRef
Qin, Y.M.[Yi-Ming],
Zheng, H.[Huangjie],
Yao, J.[Jiangchao],
Zhou, M.Y.[Ming-Yuan],
Zhang, Y.[Ya],
Class-Balancing Diffusion Models,
CVPR23(18434-18443)
IEEE DOI
2309
BibRef
Zhang, H.[Han],
Feng, R.[Ruili],
Yang, Z.[Zhantao],
Huang, L.[Lianghua],
Liu, Y.[Yu],
Zhang, Y.F.[Yi-Fei],
Shen, Y.J.[Yu-Jun],
Zhao, D.L.[De-Li],
Zhou, J.[Jingren],
Cheng, F.[Fan],
Dimensionality-Varying Diffusion Process,
CVPR23(14307-14316)
IEEE DOI
2309
BibRef
Meng, C.L.[Chen-Lin],
Rombach, R.[Robin],
Gao, R.Q.[Rui-Qi],
Kingma, D.[Diederik],
Ermon, S.[Stefano],
Ho, J.[Jonathan],
Salimans, T.[Tim],
On Distillation of Guided Diffusion Models,
CVPR23(14297-14306)
IEEE DOI
2309
BibRef
Go, H.[Hyojun],
Lee, Y.[Yunsung],
Kim, J.[JinYoung],
Lee, S.H.[Seung-Hyun],
Jeong, M.[Myeongho],
Lee, H.S.[Hyun Seung],
Choi, S.[Seungtaek],
Towards Practical Plug-and-Play Diffusion Models,
CVPR23(1962-1971)
IEEE DOI
2309
BibRef
Shang, Y.Z.[Yu-Zhang],
Yuan, Z.H.[Zhi-Hang],
Xie, B.[Bin],
Wu, B.Z.[Bing-Zhe],
Yan, Y.[Yan],
Post-Training Quantization on Diffusion Models,
CVPR23(1972-1981)
IEEE DOI
2309
BibRef
Zhang, G.Q.[Guo-Qiang],
Niwa, K.[Kenta],
Kleijn, W.B.[W. Bastiaan],
Lookahead Diffusion Probabilistic Models for Refining Mean Estimation,
CVPR23(1421-1429)
IEEE DOI
2309
BibRef
Somepalli, G.[Gowthami],
Singla, V.[Vasu],
Goldblum, M.[Micah],
Geiping, J.[Jonas],
Goldstein, T.[Tom],
Diffusion Art or Digital Forgery? Investigating Data Replication in
Diffusion Models,
CVPR23(6048-6058)
IEEE DOI
2309
BibRef
Chung, H.[Hyungjin],
Kim, J.[Jeongsol],
Kim, S.[Sehui],
Ye, J.C.[Jong Chul],
Parallel Diffusion Models of Operator and Image for Blind Inverse
Problems,
CVPR23(6059-6069)
IEEE DOI
2309
BibRef
Okada, G.[Gouki],
Nakashizuka, M.[Makoto],
Deep Unrolling of Diffusion Process with Morphological Laplacian and
its Implementation with SIMD Instructions,
ICIP22(2931-2935)
IEEE DOI
2211
Training, Laplace equations, Program processors,
Partial differential equations, Microprocessors, Noise reduction, deep network
BibRef
Liu, P.R.[Pei-Rong],
Lee, Y.[Yueh],
Aylward, S.[Stephen],
Niethammer, M.[Marc],
Deep Decomposition for Stochastic Normal-Abnormal Transport,
CVPR22(18769-18779)
IEEE DOI
2210
Tensors, Computational modeling, Stochastic processes, Estimation,
Predictive models, Stroke (medical condition), Brain modeling,
Medical
BibRef
Welk, M.[Martin],
Diffusion, Pre-Smoothing and Gradient Descent,
SSVM21(78-90).
Springer DOI
2106
BibRef
Kim, K.I.[Kwang In],
Chang, H.J.[Hyung Jin],
Joint Manifold Diffusion for Combining Predictions on Decoupled
Observations,
CVPR19(7541-7549).
IEEE DOI
2002
BibRef
Cappabianco, F.A.M.,
dos Santos, S.R.B.,
Ide, J.S.,
da Silva, P.P.C.E.,
Non-Local Operational Anisotropic Diffusion Filter,
ICIP19(195-199)
IEEE DOI
1910
diffusion filter, noise filtering, medical imaging
BibRef
dos Santos, F.P.[Fernando Pereira],
Ponti, M.A.[Moacir Antonelli],
Homogeneity Index as Stopping Criterion for Anisotropic Diffusion
Filter,
CAIP19(II:269-280).
Springer DOI
1909
BibRef
Yang, F.[Fang],
Chai, L.[Li],
Chen, D.[Da],
Cohen, L.[Laurent],
Geodesic via Asymmetric Heat Diffusion Based on Finsler Metric,
ACCV18(V:371-386).
Springer DOI
1906
BibRef
Iscen, A.[Ahmet],
Tolias, G.[Giorgos],
Avrithis, Y.[Yannis],
Furon, T.[Teddy],
Chum, O.[Ondrej],
Efficient Diffusion on Region Manifolds: Recovering Small Objects
with Compact CNN Representations,
CVPR17(926-935)
IEEE DOI
1711
Closed-form solutions, Image retrieval, Indexing,
Manifolds, Matrix decomposition, Symmetric matrices
BibRef
Gu, X.[Xuan],
Sidén, P.[Per],
Wegmann, B.[Bertil],
Eklund, A.[Anders],
Villani, M.[Mattias],
Knutsson, H.[Hans],
Bayesian Diffusion Tensor Estimation with Spatial Priors,
CAIP17(I: 372-383).
Springer DOI
1708
BibRef
Bustacara, C.[César],
Gómez-Mora, M.[Miller],
Flórez-Valencia, L.[Leonardo],
Anisotropic Diffusion for Smoothing: A Comparative Study,
ICCVG16(109-120).
Springer DOI
1611
BibRef
Kamgar-Parsi, B.[Behzad],
Kamgar-Parsi, B.[Behrooz],
Kamgar-Parsi, K.[Kian],
Notes on image processing with partial differential equations,
ICIP15(1737-1741)
IEEE DOI
1512
Anisotropic diffusion
BibRef
Yagoubi, M.R.[Mohamed Riad],
Serir, A.[Amina],
Beghdadi, A.[Azeddine],
A new automatic framework for document image enhancement process
based on anisotropic diffusion,
ICDAR15(1126-1130)
IEEE DOI
1511
Document image
BibRef
Kim, H.[Hakran],
Kim, S.J.[Seong-Jai],
Impulse-mowing anisotropic diffusion filter for image denoising,
ICIP14(2923-2927)
IEEE DOI
1502
Anisotropic magnetoresistance
BibRef
Thuerck, D.[Daniel],
Kuijper, A.[Arjan],
Lazy Nonlinear Diffusion Parameter Estimation,
CIAP13(I:211-220).
Springer DOI
1311
BibRef
Donoser, M.[Michael],
Bischof, H.[Horst],
Diffusion Processes for Retrieval Revisited,
CVPR13(1320-1327)
IEEE DOI
1309
Diffusion Processes, MPEG7, Random Walk, Retrieval.
BibRef
Viola, F.[Fabio],
Fitzgibbon, A.W.[Andrew W.],
Cipolla, R.[Roberto],
A unifying resolution-independent formulation for early vision,
CVPR12(494-501).
IEEE DOI
1208
BibRef
Angulo, J.[Jesus],
Non-linearization of free Schrodinger equation and pseudo-morphological
complex diffusion operators,
ICIP11(73-76).
IEEE DOI
1201
BibRef
Ferrarese, F.P.[Francesca Pizzorni],
Daducci, A.[Alessandro],
Cuadra, M.B.[Meritxell Bach],
Lemkaddem, A.[Alia],
Granziera, C.[Cristina],
Thiran, J.P.[Jean-Philippe],
Menegaz, G.[Gloria],
Towards a diffusion image processing validation and accuracy prediction
framework,
ICIP11(2269-2272).
IEEE DOI
1201
BibRef
Wang, H.N.[Hong-Nan],
Zhao, C.X.[Chun-Xia],
Zhang, H.F.[Hao-Feng],
Hu, Y.[Yong],
Sun, M.M.[Ming-Ming],
Curvature diffusion evolution in image filtering,
ICARCV08(114-118).
IEEE DOI
1109
BibRef
Mandava, A.K.[Ajay K.],
Regentova, E.E.[Emma E.],
Adaptive Non-linear Diffusion in Wavelet Domain,
ICIAR11(I: 58-68).
Springer DOI
1106
BibRef
Ĺström, F.[Freddie],
Felsberg, M.[Michael],
Lenz, R.[Reiner],
Color Persistent Anisotropic Diffusion of Images,
SCIA11(262-272).
Springer DOI
1105
BibRef
Chen, Y.P.[Yi-Ping],
Wang, L.S.[Lian-Sheng],
Shi, L.[Lin],
Wang, D.[Defeng],
Heng, P.A.[Pheng-Ann],
Wong, T.T.[Tien-Tsin],
Li, X.[Xiang],
Structure-preserving multiscale vessel enhancing diffusion filter,
ICIP10(3565-3568).
IEEE DOI
1009
BibRef
Roussos, A.[Anastasios],
Maragos, P.[Petros],
Tensor-based image diffusions derived from generalizations of the Total
Variation and Beltrami Functionals,
ICIP10(4141-4144).
IEEE DOI
1009
BibRef
Krajsek, K.[Kai],
Scharr, H.[Hanno],
Diffusion filtering without parameter tuning:
Models and inference tools,
CVPR10(2536-2543).
IEEE DOI
1006
BibRef
Seo, D.H.[Do-Hyung],
Vemuri, B.C.[Baba C.],
Complex diffusion on image graphs,
ICIP09(2969-2972).
IEEE DOI
0911
BibRef
Terebes, R.[Romulus],
Lavialle, O.[Olivier],
Germain, C.[Christian],
Borda, M.[Monica],
Pop, S.[Sorin],
Asymmetric anisotropic diffusion,
ICIP09(3889-3892).
IEEE DOI
0911
BibRef
Maalouf, A.[Aldo],
Carre, P.[Philippe],
Augereau, B.[Bertrand],
Fernandez-Maloigne, C.[Christine],
Bandelet-Based Anisotropic Diffusion,
ICIP07(I: 289-292).
IEEE DOI
0709
BibRef
Lampert, C.H.,
Wirjadi, O.,
Anisotropic Gaussian Filtering using Fixed Point Arithmetic,
ICIP06(1565-1568).
IEEE DOI
0610
BibRef
Facciolo, G.,
Lecumberry, F.,
Almansa, A.,
Pardo, A.,
Caselles, V.[Vicent],
Rouge, B.,
Constrained Anisotropic Diffusion and some Applications,
BMVC06(III:1049).
PDF File.
0609
BibRef
Nishiguchi, H.[Haruhiko],
Imiya, A.[Atsushi],
Sakai, T.[Tomoya],
Laplacian Based Non-Linear Diffusion Filtering,
ICPR06(III: 838-841).
IEEE DOI
0609
BibRef
And:
Hierarchical Tree of Image Derived by Diffusion Filtering,
IWCIA06(453-465).
Springer DOI
0606
BibRef
Dargent, R.,
Lavialle, O.,
Guillon, S.,
Baylou, P.,
Sector-based diffusion filtering,
ICPR04(III: 679-682).
IEEE DOI
0409
BibRef
Yi, H.W.[Hong-Wen],
Gregson, P.H.[Peter H.],
A New Numerical Scheme for Anisotropic Diffusion,
ICIAR04(I: 130-138).
Springer DOI
0409
BibRef
Terebes, R.,
Lavialle, O.,
Baylou, P.,
Borda, M.,
Mixed anisotropic diffusion,
ICPR02(III: 760-763).
IEEE DOI
0211
BibRef
Jiang, H.[Han],
Moloney, C.,
Error concealment using a diffusion based method,
ICIP02(I: 832-835).
IEEE DOI
0210
BibRef
Martinez, S.V.[Santiago V.],
Mancha, J.M.R.[Juan M. Rendon],
Stamon, G.[Georges],
Anisotropic Diffusion by a Recursive Linear Convolving Method:
Application to Space-time Segmentation and Pattern Recognition,
VI02(421).
PDF File.
0208
BibRef
Dam, E.B.[Erik B.],
Nielsen, M.,
Exploring nonlinear diffusion: the diffusion echo,
ScaleSpace01(xx-yy).
0106
BibRef
Tang, B.,
Sapiro, G.,
Chromaticity Diffusion,
ICIP00(Vol II: 784-787).
IEEE DOI
0008
BibRef
Kubota, T.[Toshiro],
Espinal, F.[Fausto],
Reaction-diffusion Systems for Hypothesis Propagation,
ICPR00(Vol III: 543-546).
IEEE DOI
0009
BibRef
Toczyski, W.D.,
Papanikolopoulos, N.P.,
Complementary Linear Biases in Spatial Derivative Estimation for
Improving Geometry-driven Diffusion Processes,
ICPR00(Vol III: 1-6).
IEEE DOI
0009
BibRef
Xu, L.Q.,
Data-driven Nonlinear Diffusion for Object Segmentation,
ICIP00(Vol I: 319-322).
IEEE DOI
0008
BibRef
Philomin, V.[Vasanth],
Duraiswami, R.[Ramani],
Davis, L.S.[Larry S.],
Quasi-Random Sampling for Condensation,
ECCV00(II: 134-149).
Springer DOI
0003
BibRef
And:
UMD--TR4090, February 2000.
WWW Link.
WWW Link.
BibRef
Frangakis, A.[Achilleas],
Hegerl, R.[Reiner],
Nonlinear Anisotropic Diffusion in Three-Dimensional Electron
Microscopy,
ScaleSpace99(386-397).
BibRef
9900
Lohmiller, W.[Winfried],
Slotine, J.J.E.[Jean-Jacques E.],
Global Convergence Rates of Nonlinear Diffusion for Time-Varying Images,
ScaleSpace99(525-530).
BibRef
9900
Sziranyi, T.[Tamas],
Kopilovic, I.[Ivan],
Toth, B.[Barnabas],
Anisotropic Diffusion as a Preprocessing Step for
Efficient Image Compression,
ICPR98(Vol II: 1565-1567).
IEEE DOI
9808
BibRef
King, O.,
Forsyth, D.A.,
How Does CONDENSATION Behave with a Finite Number of Samples?,
ECCV00(I: 695-709).
Springer DOI
0003
BibRef
Ye, J.C.,
Webb, K.J.,
Millane, R.P.,
Downar, T.J.,
Optimal parameter updating for optical diffusion imaging,
ICIP98(III: 390-393).
IEEE DOI
9810
BibRef
Lee, S.H.[Suk Ho],
Kang, M.G.[Moon Gi],
Spatio-temporal video filtering algorithm based on 3-D anisotropic
diffusion equation,
ICIP98(II: 447-450).
IEEE DOI
9810
BibRef
Hewer, G.A.,
Kenney, C.S.,
Peterson, L., and
van Nevel, A.,
Applied Partial Differential Variational Techniques,
ICIP97(III: 372-375).
IEEE DOI
BibRef
9700
Qi, H.,
Snyder, W.E., and
Bilbro, G.L.,
Using Mean Field Annealing to Solve Anisotropic Diffusion Problems,
ICIP97(III: 352-355).
IEEE DOI
BibRef
9700
Black, M.J.,
Sapiro, G.,
Marimont, D.H., and
Heeger, D.,
Robust Anisotropic Diffusion and Sharpening of Scalar and Vector Images,
ICIP97(I: 263-266).
IEEE DOI
BibRef
9700
Benharrosh, J.M.[Jean-Michel],
Berthod, M.[Marc], and
Houzelle, S.[Stephane],
How to Preserve Cartographic Features Using Anisotropic Diffusion,
SCIA97(xx-yy)
HTML Version.
9705
BibRef
Pollak, I.[Ilya],
Scale Space Analysis by Stabilized Inverse Diffusion Equations,
ScaleSpace97(xx).
9702
BibRef
Arridge, S.R.[Simon R.],
Simmons, A.,
Multi-Spectral Probabilistic Diffusion Using Bayesian Classification,
ScaleSpace97(xx).
9702
BibRef
Beekman, F.J.[Freek J.],
Sijpen, E.T.P.,
Niessen, W.J.,
Supervised Diffusion Parameter Selection for Processing
SPECT Brain Images,
ScaleSpace97(xx).
9702
BibRef
Cong, G.,
Ma, S.D.,
Nonlinear Diffusion for Early Vision,
ICPR96(I: 403-406).
IEEE DOI
9608
(Chinese Academy of Sciences, PRC)
BibRef
Sanchez Ortiz, G.I.,
Rueckert, D., and
Burger, P.,
Knowledge-Based Anisotropic Diffusion of Vector-Valued
4-Dimensional Cardiac MR Images,
BMVC96(Poster Session 2).
9608
Imperial College
BibRef
Yacoob, Y.[Yaser],
Davis, L.S.[Larry S.],
Early Vision Processing Using a Multi-Stage Diffusion Process,
CVPR93(41-46).
IEEE DOI
BibRef
9300
Chapter on Computational Vision, Regularization, Connectionist, Morphology, Scale-Space, Perceptual Grouping, Wavelets, Color, Sensors, Optical, Laser, Radar continues in
Diffusion Process, Survey, Overview .