4.5 Diffusion Process, Diffusion Operators, Mechanism, or Technique

Chapter Contents (Back)
Diffusion Process.
See also Diffusion Applied to Edge Detection.
See also Diffusion Tensor Imaging. Also error diffusion for halftones:
See also Half Tone, Generation and Analysis, Printing. Image generation with Diffusion models:
See also Diffusion for Description to or Text to Image Generation. Image restoration:
See also Image Restoration: Diffusion Model.

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


Ma, X.Y.[Xin-Yin], Fang, G.F.[Gong-Fan], Wang, X.C.[Xin-Chao],
DeepCache: Accelerating Diffusion Models for Free,
CVPR24(15762-15772)
IEEE DOI Code:
WWW Link. 2410
Image coding, Costs, Image synthesis, Computational modeling, Noise reduction, Termination of employment, Efficient Deep Learning 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 .


Last update:Nov 26, 2024 at 16:40:19