13.5 General Spatial Reasoning and Geometric Reasoning Issues, Visual Relations

Lane, E.,
Projective Differential Geometry of Curves and Surfaces,
University of ChicagoPress, 1932. BibRef 3200

Freeman, J.[John],
The Modelling of Spatial Relations,
CGIP(4), No. 2, June 1975, pp. 156-171.
Elsevier DOI Basic introduction to the use of spatial relations in descriptions. BibRef 7506

Sadananda, R., Mahabala, H.N.,
Conceptference: A System That Develops Concepts and Infers on Pictorial Data,
SMC(8), 1978, pp. 232-236. BibRef 7800

Sinha, R.M.K., Mahabala, H.N.,
Towards Design of a Natural Picture Description Language,
PRIP78(416-420). BibRef 7800

Haralick, R.M., Wang, S., Elliott, D.B., Campbell, J.B., and Ehrich, R.W.,
Spatial Reasoning in Remotely Sensed Data,
GeoRS(21), No. 1, January, 1983, pp. 94-101. BibRef 8301

Peuquet, D.J.[Donna J.], Zhan, C.X.[Ci-Xiang],
An Algorithm to Determine the Directional Relationship between Arbitrarily-Shaped Polygons in the Plane,
PR(20), No. 1, 1987, pp. 65-74.
Elsevier DOI BibRef 8700

Fleming, A.[Alan],
Geometric Relationships Between Toleranced Features,
AI(37), No. 1-3, December, 1988, pp. 403-412.
Elsevier DOI BibRef 8812

Arnon, D.S.[Dennis S.],
Geometric reasoning with logic and algebra,
AI(37), No. 1-3, December, 1988, pp. 37-60.
Elsevier DOI BibRef 8812

Mitchell, J.S.B.[Joseph S. B.],
An algorithmic approach to some problems in terrain navigation,
AI(37), No. 1-3, December, 1988, pp. 171-201.
Elsevier DOI BibRef 8812

Srihari, S.N., Xiang, Z.,
Spatial Knowledge Representation,
PRAI(3), 1989, pp. 67-84. BibRef 8900

Mulgaonkar, P.G.[Prasanna G.], Shapiro, L.G., and Haralick, R.M.,
Spatial Reasoning Using Modular Inference Engines,
ASR-I90(8). BibRef 9000

Magee, M., Wolfe, W.J., Mathis, D., and Weber, C.,
Model-Based Spatial Reasoning for Hierarchically Organized Structured Objects,
ASR-I90(Ch. 5). BibRef 9000

Magee, M., Nathan, M.,
A Viewpoint Independent Modeling Approach to Object Recognition,
RA(3), 1987, pp. 351-356. BibRef 8700

Magee, M.[Michael], and Nathan, M.[Mitchell],
A Rule Based System for Pattern Recognition that Exploits Topological Constraints,
CVPR86(62-67). BibRef 8600

Koczy, L.T.,
On the Description of Relative Position of Fuzzy Objects,
PRL(8), 1988, pp. 21-28. Uses the inverse of a relation. BibRef 8800

Dutta, S.,
Approximate Spatial Reasoning: Integrating Qualitative and Quantitative Constraints,
ApproximateR(5), 1991, pp. 307-331. Qualitative spatial relationships. BibRef 9100

Miyajima, K., Ralescu, A.,
Spatial Organization in 2D Segmented Images: Representation and Recognition of Primitive Spatial Relations,
FuzzySets(65), 1994, pp. 225-236. Histogram of angles. BibRef 9400

Cohn, A.G., Gooday, J.M., Bennett, B., Gotts, N.M.,
A Logical Approach to Representing and Reasoning about Space,
AIR(9), No. 4-5, October 1995, pp. 255-259. BibRef 9510

Cohn, A.G.[Anthony G.], Bennett, B.[Brandon], Gooday, J.M.[John M.], Gotts, N.M.[Nicholas Mark],
Qualitative Spatial Representation and Reasoning with the Region Connection Calculus,
GeoInfo(1), No. 3, October 1997, pp. 275-316.
DOI Link BibRef 9710

Cohn, A.G.,
The Challenge of Qualitative Spatial Reasoning,
Surveys(27), No. 3, September 1995, pp. 323-325. Survey, Spatial Reasoning. BibRef 9509

Retz-Schmidt, G.,
Various Views on Spatial Prepositions,
AIMag(9), No. 2, Summer 1988, pp. 95-105. BibRef 8800

Retz-Schmidt, G.,
Deictic and Intrinsic Use of Spatial Prepositions: A Multidisciplinary Comparison,
SRMSF87(371-380). BibRef 8700

Tambouratzis, T.,
Using Geometrical Information for Accurate Scene Understanding in an Artificial Vision System,
IJIS(11), No. 10, October 1996, pp. 833-863. 9610
BibRef

Holt, R.J., Huang, T.S., Netravali, A.N.,
Algebraic Methods for Image Processing and Computer Vision,
IP(5), No. 6, June 1996, pp. 976-986.
IEEE DOI 9607
BibRef

Coenen, F.P., Beattie, B., Shave, M.J.R., Bench-Capon, T.J.M., Diaz, B.M.,
Spatial Reasoning Using the Quad Tesseral Representation,
AIR(12), No. 4, August 1998, pp. 321-343.
WWW Link. 9808
BibRef

Coenen, F.[Frans],
Tesseral spatio-temporal reasoning for multi-dimensional data,
PR(33), No. 1, January 2000, pp. 9-23.
Elsevier DOI 0005
BibRef

Papadias, D.[Dimitris], Egenhofer, M.J.[Max J.],
Algorithms for Hierarchical Spatial Reasoning,
GeoInfo(1), No. 3, October 1997, pp. 251-273.
DOI Link BibRef 9710

Cohn, A.G.[Anthony G.], Hogg, D.C., Bennett, B.[Brandon], Devin, V., Galata, A., Magee, D.R., Needham, C., Santos, P.,
Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision,
CogVis03(221-246).
Springer DOI 0310
BibRef

Schweikard, A.[Achim], Schwarzer, F.[Fabian],
Detecting geometric infeasibility,
AI(105), No. 1-2, October 1998, pp. 139-159.
Elsevier DOI Geometric reasoning. BibRef 9810

Shekhar, S.[Shashi], Liu, X.[Xuan], Chawla, S.[Sanjay],
An Object Model of Direction and Its Implications,
GeoInfo(3), No. 4, December 1999, pp. 357-379.
DOI Link 0509
BibRef

Bloch, I.[Isabelle],
Fuzzy Relative Position Between Objects in Image Processing: A Morphological Approach,
PAMI(21), No. 7, July 1999, pp. 657-664.
IEEE DOI BibRef 9907
Earlier:
Fuzzy classification for multi-modality image fusion,
ICIP94(I: 628-632).
IEEE DOI 9411
Relative positions using fuzzy sets for structural descriptions.
See also Fuzzy Connectivity and Mathematical Morphology. BibRef

Bloch, I.[Isabelle],
Topological Relations Between Bipolar Fuzzy Sets Based on Mathematical Morphology,
ISMM17(40-51).
Springer DOI 1706

See also Mathematical morphology on hypergraphs, application to similarity and positive kernel. BibRef
Earlier:
Bipolar Fuzzy Mathematical Morphology for Spatial Reasoning,
ISMM09(24-34).
Springer DOI 0908

See also Fuzzy Connectivity and Mathematical Morphology. BibRef

Bloch, I.[Isabelle],
Unifying Quantitative, Semi-quantitative and Qualitative Spatial Relation Knowledge Representations Using Mathematical Morphology,
WTRCV02(153-164). 0204
BibRef

Bloch, I.[Isabelle], Maître, H.[Henri],
Extending adjacency to fuzzy sets for coping with imprecise image objects,
CIAP97(I: 30-37).
Springer DOI 9709
BibRef

Bloch, I.[Isabelle], Ralescu, A.[Anca],
Directional Relative Position Between Objects in Image Processing: A Comparison Between Fuzzy Approaches,
PR(36), No. 7, July 2003, pp. 1563-1582.
Elsevier DOI 0304
BibRef

Bloch, I.,
Fuzzy relative position between objects in images: A morphological approach,
ICIP96(II: 987-990).
IEEE DOI 9610
BibRef

Matsakis, P., Keller, J.M., Wendling, L., Marjamaa, J., Sjahputera, O.,
Linguistic description of relative positions in images,
SMC-B(31), No. 4, August 2001, pp. 573-588.
IEEE Top Reference. Fuzzy sets for linguistic descriptions. 0109
BibRef

Matsakis, P.[Pascal], Wendling, L.[Laurent],
A New Way to Represent the Relative Position between Areal Objects,
PAMI(21), No. 7, July 1999, pp. 634-643.
IEEE DOI This paper describes a method for computing relative position relations (e.g. above, to left of, to the east of, etc.) between two-dimensional objects in images. These relations are commonally used in human descriptions of scenes, but there is no precise definition for such relations especially when areal (i.e. a 2-D region) features are involved. The aim of this paper is not to give a precise definition to a relation such as "to the left of," but to provide an efficient and understandable way to compute this property, no matter what exact definition is desired. The authors introduce the idea of a "histogram of forces" that gives a value for each angle of the "force" between the two objects. A high force would indicate support for that relationship. As an example of the results, the system produces a moderately strong value (55 and 65, depending on the force definition used) for the relation "Spain is south of France" and a weaker value (47 and 40) for "Spain is West of France," which corresponds to the general human interpretation of their relationship.
See also Modelling of Spatial Relations, The. BibRef 9907

Matsakis, P.[Pascal], Wendling, L.[Laurent], Desachy, J.,
Representation de la Position Relativ d'Objets 2D au Moyen d'un Histogramme de Froces,
Traitement du Signal(15), No. 1, 1998, pp. 25-38. BibRef 9800

Matsakis, P.[Pascal], Ni, J.[Jing_Bo], Wang, X.[Xin],
Object Localization Based on Directional Information: Case of 2D Raster Data,
ICPR06(II: 142-146).
IEEE DOI 0609
Directional spatial relations. BibRef

Clément, M.[Michaël], Poulenard, A.[Adrien], Kurtz, C.[Camille], Wendling, L.[Laurent],
Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects,
PAMI(39), No. 12, December 2017, pp. 2366-2380.
IEEE DOI 1711
Computational modeling, Histograms, interlacement histograms, relative position descriptors. BibRef

Clément, M.[Michaël], Kurtz, C.[Camille], Wendling, L.[Laurent],
Fuzzy Directional Enlacement Landscapes,
DGCI17(171-182).
Springer DOI 1711
BibRef

Skubic, M., Matsakis, P., Chronis, G., Keller, J.M.,
Generating Multi-Level Linguistic Spatial Descriptions form Range Sensor Readings Using the Histogram of Forces,
AutRob(14), No. 1, 2003, pp. 51-69. BibRef 0300

Skubic, M., Perzanowski, D., Blisard, S., Schultz, A., Adams, W., Bugajska, M., Brock, D.,
Spatial language for human-robot dialogs,
SMC-C(34), No. 2, May 2004, pp. 154-167.
IEEE Abstract. 0407
BibRef

Matsakis, P.[Pascal], Keller, J.M.[James M.], Sjahputera, O.[Ozy], Marjamaa, J.[Jonathon],
The Use of Force Histograms for Affine-Invariant Relative Position Description,
PAMI(26), No. 1, January 2004, pp. 1-0_6.
IEEE Abstract. 0401
How affine transforms affect the descriptor. Any 2 of applied affine transform, relative position before, relative position after, allows other to be determined. BibRef

Matsakis, P.[Pascal],
Relations Spatiales Structurelles et Interpretation d'Images,
Ph.D.Thesis, Institut de Recherche en Informatique de Toulouse, France, 1998. BibRef 9800

Keller, J.M.[James M.], Wang, X.M.[Xiao-Mei],
A Fuzzy Rule-Based Approach to Scene Description Involving Spatial Relationships,
CVIU(80), No. 1, October 2000, pp. 21-41.
DOI Link 0010
BibRef

Keller, J.M., Gader, P.D., Wang, X.,
LADAR Scene Description Using Fuzzy Morphology and Rules,
CVBVS99(120).
IEEE DOI BibRef 9900

Krishnapuram, R., Keller, J.M., Ma, Y.,
Quantative Analysis of Properties and Spatial Relations of Fuzzy Image Regions,
Fuzzy(1), No. 3, 1993, pp. 222-233. Histogram of angles for relationships. BibRef 9300

Medasani, S., Krishnapuram, R., Keller, J.M.,
Are Fuzzy Definitions of Basic Attributes of Image Objects Really Useful?,
SMC-A(29), No. 4, July 1999, pp. 378.
IEEE Top Reference. BibRef 9907

Xiong, D.M.[De-Min], Lin, H.[Hui],
Spatial Data Handling for ITS: Perspective, Issues and Approaches,
GeoInfo(4), No. 2, June 2000, pp. 215-230.
DOI Link 0509
BibRef

Jan, S.R., Hsueh, Y.C.,
Primitive spatial relations based on SKIZ,
IVC(18), No. 8, 15 May 2000, pp. 597-605.
Elsevier DOI 0003
BibRef

Guru, D.S., Nagabhushan, P.,
Triangular Spatial Relationship: A New Approach for Spatial Knowledge Representation,
PRL(22), No. 9, July 2001, pp. 999-1006.
Elsevier DOI 0106
BibRef

Lang, D.[Dieter], Winter, S.[Stephan], Frank, A.U.[Andrew U.],
Neighborhood Relations between Fields with Applications to Cellular Networks,
GeoInfo(5), No. 2, June 2001, pp. 127-144.
DOI Link 0108
BibRef

Gerevini, A.[Alfonso], Renz, J.[Jochen],
Combining topological and size information for spatial reasoning,
AI(137), No. 1-2, May 2002, pp. 1-42.
Elsevier DOI 0205
Size of regions. BibRef

Chen, J.[Jun], Zhao, R.L.[Ren-Liang], Li, Z.L.[Zhi-Lin],
Voronoi-based k-order neighbour relations for spatial analysis,
PandRS(59), No. 1-2, August 2004, pp. 60-72.
Elsevier DOI 0411
Spatial relationships. BibRef

Bloch, I.[Isabelle],
Fuzzy Spatial Relationships for Image Processing and Interpretation: A Review,
IVC(23), No. 2, 1 February 2004, pp. 89-110.
Elsevier DOI 0412
BibRef

Lazebnik, S.[Svetlana], Ponce, J.[Jean],
The Local Projective Shape of Smooth Surfaces and Their Outlines,
IJCV(63), No. 1, June 2005, pp. 65-83.
Springer DOI 0501
BibRef
Earlier: ICCV03(83-89).
IEEE DOI 0311
Projective invariant features of curves and surfaces. BibRef

Dehak, S.M.R.[Sidi Mohammed Reda], Bloch, I.[Isabelle], Maitre, H.[Henri],
Spatial Reasoning with Incomplete Information on Relative Positioning,
PAMI(27), No. 9, September 2005, pp. 1473-1484.
IEEE DOI 0508
Inferring relative position of 2 points knowing their relative position to a third point. E.g. map locations. BibRef

Yoo, J.S.[Jin Soung], Shekhar, S.[Shashi],
In-Route Nearest Neighbor Queries,
GeoInfo(9), No. 2, June 2005, pp. 117-137.
Springer DOI 0509
BibRef

Shirabe, T.[Takeshi],
Classification of Spatial Properties for Spatial Allocation Modeling,
GeoInfo(9), No. 3, September 2005, pp. 269-287.
Springer DOI 0509
BibRef

Bloch, I., Colliot, O., Cesar, Jr., R.M.,
On the Ternary Spatial Relation 'Between',
SMC-B(36), No. 2, April 2006, pp. 312-327.
IEEE DOI 0604
BibRef

Yan, H.[Haowen], Chu, Y.D.[Yan-Dong], Li, Z.L.[Zhi-Lin], Guo, R.Z.[Ren-Zhong],
A Quantitative Description Model for Direction Relations Based on Direction Groups,
GeoInfo(9), No. 2, June 2006, pp. 177-196.
Springer DOI 0605
BibRef

Skiadopoulos, S.[Spiros], Koubarakis, M.[Manolis],
On the consistency of cardinal direction constraints,
AI(163), No. 1, March 2005, pp. 91-135.
Elsevier DOI 0605
BibRef

Laub, J.[Julian], Roth, V.[Volker], Buhmann, J.M.[Joachim M.], Müller, K.R.[Klaus-Robert],
On the information and representation of non-Euclidean pairwise data,
PR(39), No. 10, October 2006, pp. 1815-1826.
Elsevier DOI 0606
Non-Euclidean pairwise data; Embedding; Visualization; Multidimensional scaling As opposed to vector representations. BibRef

Pham, T.V.[Thang V.], Smeulders, A.W.M.[Arnold W.M.],
Learning spatial relations in object recognition,
PRL(27), No. 14, 15 October 2006, pp. 1673-1684.
Elsevier DOI 0609
Articulated object; Bayesian network; Deformable model; Part-based approach; Shape; Spatial relation Deformable relations and pairwise pixel relations. BibRef

Liu, Y.[Yu], Guo, Q.H.[Qing-Hua], Kelly, M.[Maggi],
A framework of region-based spatial relations for non-overlapping features and its application in object based image analysis,
PandRS(63), No. 4, July 2008, pp. 461-475.
Elsevier DOI 0804
Region-based spatial relations; Single-valued space; Object based image analysis BibRef

Du, S.H.[Shi-Hong], Guo, L.[Luo], Wang, Q.[Qiao], Qin, Q.M.[Qi-Min],
Efficiently computing and deriving topological relation matrices between complex regions with broad boundaries,
PandRS(63), No. 6, November 2008, pp. 593-609.
Elsevier DOI 0811
Geographical information system; Complex regions with broad boundaries; Topological relations; Reasoning about topological relations BibRef

Schockaert, S.[Steven], de Cock, M.[Martine], Kerre, E.E.[Etienne E.],
Spatial reasoning in a fuzzy region connection calculus,
AI(173), No. 2, February 2009, pp. 258-298.
Elsevier DOI 0804
Spatial reasoning; Region connection calculus; Fuzzy set theory BibRef

Deruyver, A.[Aline], Hodé, Y.[Yann],
Qualitative spatial relationships for image interpretation by using a conceptual graph,
IVC(27), No. 7, 4 June 2009, pp. 876-886.
Elsevier DOI 0904
BibRef
Earlier: A2, A1:
Qualitative Spatial Relationships for Image Interpretation by Using Semantic Graph,
GbRPR07(240-250).
Springer DOI 0706
Image interpretation; Spatial relationships; Conceptual graph; Arc-consistency analysis BibRef

Deruyver, A.[Aline], Hodé, Y.[Yann],
Arc-Consistency Checking with Bilevel Constraints: An Optimization,
GbRPR09(174-183).
Springer DOI 0905
BibRef

Deruyver, A., Hode, Y.,
Semantic graph and arc consistency in 'true' three dimensional image labelling,
ICIP95(II: 619-622).
IEEE DOI 9510
BibRef

Deruyver, A.[Aline], Hode, Y.[Yann], Brun, L.[Luc],
Image interpretation with a conceptual graph: Labeling over-segmented images and detection of unexpected objects,
AI(173), No. 14, September 2009, pp. 1245-1265.
Elsevier DOI 0910
Image interpretation; Conceptual graph; Arc-consistency analysis BibRef

Bejaoui, L.[Lotfi], Pinet, F.[François], Schneider, M.[Michel], Bédard, Y.[Yvan],
OCL for formal modelling of topological constraints involving regions with broad boundaries,
GeoInfo(14), No. 3, July 2010, pp. xx-yy.
Springer DOI 1003
BibRef

Takemura, C.M.[Celina Maki], Cesar, Jr., R.M.[Roberto M.], Bloch, I.[Isabelle],
Modeling and measuring the spatial relation 'along': Regions, contours and fuzzy sets,
PR(45), No. 2, February 2012, pp. 757-766.
Elsevier DOI 1110
Spatial relations; Spatial reasoning; Structural pattern recognition BibRef

Liu, W.M.[Wei-Ming], Li, S.J.[San-Jiang],
Reasoning about cardinal directions between extended objects: The NP-hardness result,
AI(175), No. 18, December 2011, pp. 2155-2169.
Elsevier DOI 1112
Qualitative spatial reasoning; Cardinal direction calculus; NP-hardness; Consistency checking; Reduction BibRef

Uijlings, J.R.R., Smeulders, A.W.M., Scha, R.J.H.,
The Visual Extent of an Object: Suppose We Know the Object Locations,
IJCV(96), No. 1, January 2012, pp. 46-63.
WWW Link. 1201
BibRef
Earlier:
What is the spatial extent of an object?,
CVPR09(770-777).
IEEE DOI 0906
Depends on the recognition method. Region, whole image. Rigid object primarly recognized by shape, non-rigid by texture. With unknown location, the surrounding context is less significant. BibRef

Corcoran, P.[Padraig], Mooney, P.[Peter], Bertolotto, M.[Michela],
Spatial Relations Using High Level Concepts,
IJGI(1), No. 3, 2012, pp. 333-350.
DOI Link 1211
BibRef

Koenderink, J.J.[Jan J.], van Doorn, A.J.[Andrea J.],
Gauge Fields in Pictorial Space,
SIIMS(5), No. 4, 2012, pp. 1213-1233.
DOI Link 1211
Pictorial place - structure to look into a picture. BibRef

Clementini, E.[Eliseo],
Directional relations and frames of reference,
GeoInfo(17), No. 2, April 2013, pp. 235-255.
Springer DOI 1304
BibRef

Kontchakov, R.[Roman], Pratt-Hartmann, I.[Ian], Zakharyaschev, M.[Michael],
Spatial reasoning with and connectedness constraints in Euclidean spaces,
AI(217), No. 1, 2014, pp. 43-75.
Elsevier DOI 1411
Qualitative spatial reasoning BibRef

Gondra, I.[Iker], Alam, F.I.[Fahim Irfan],
Learning spatial relations for object-specific segmentation using Bayesian network model,
SIViP(8), No. 8, November 2014, pp. 1441-1450.
WWW Link. 1411
BibRef

Zheng, B.[Bo], Zhao, Y.B.[Yi-Biao], Yu, J.C.[Joey C.], Ikeuchi, K.[Katsushi], Zhu, S.C.[Song-Chun],
Scene Understanding by Reasoning Stability and Safety,
IJCV(112), No. 2, April 2015, pp. 221-238.
Springer DOI 1504
BibRef
Earlier:
Beyond Point Clouds: Scene Understanding by Reasoning Geometry and Physics,
CVPR13(3127-3134)
IEEE DOI 1309
BibRef

Jia, Z.Y.[Zhao-Yin], Gallagher, A.C.[Andrew C.], Saxena, A.[Ashutosh], Chen, T.H.[Tsu-Han],
3D Reasoning from Blocks to Stability,
PAMI(37), No. 5, May 2015, pp. 905-918.
IEEE DOI 1504
BibRef
Earlier:
3D-Based Reasoning with Blocks, Support, and Stability,
CVPR13(1-8)
IEEE DOI 1309
Cognition BibRef

Jia, Z.Y.[Zhao-Yin], Gallagher, A.C.[Andrew C.], Chen, T.H.[Tsu-Han],
Learning boundaries with color and depth,
ICIP13(3049-3053)
IEEE DOI 1402
Image edge detection;Image segmentation;Markov random fields BibRef

Kuang, Z.H.[Zhang-Hui], Wong, K.Y.K.[Kwan-Yee K.],
Relatively-Paired Space Analysis: Learning a Latent Common Space From Relatively-Paired Observations,
IJCV(113), No. 3, July 2015, pp. 176-192.
Springer DOI 1506
Multi-modal combination for recognition. BibRef

Chen, P.F.[Peng-Fei], Shi, W.Z.[Wen-Zhong],
Measuring the Spatial Relationship Information of Multi-Layered Vector Data,
IJGI(7), No. 3, 2018, pp. xx-yy.
DOI Link 1804
BibRef

Maiseli, B.J.[Baraka Jacob], Bai, L.[Li_Fei], Yang, X.Q.A.[Xian-Qi-Ang], Gu, Y.F.[Yan-Feng], Gao, H.J.[Hui-Jun],
Robust cost function for optimizing chamfer masks,
VC(34), No. 5, May 2018, pp. 617-632.
Springer DOI 1804
Process of propagating local distances over an image to estimate a reference metric. BibRef

Zhang, C.[Cheng], Bütepage, J.[Judith], Kjellström, H.[Hedvig], Mandt, S.[Stephan],
Advances in Variational Inference,
PAMI(41), No. 8, August 2019, pp. 2008-2026.
IEEE DOI 1907
Bayes methods, Hidden Markov models, Computational modeling, Optimization, Probabilistic logic, Stochastic processes, inference networks BibRef

Zhang, C.[Cheng], Ek, C.H., Gratal, X., Pokorny, F.T., Kjellstrom, H.,
Supervised Hierarchical Dirichlet Processes with Variational Inference,
PGMs13(254-261)
IEEE DOI 1403
inference mechanisms BibRef

Afkham, H.M.[Heydar Maboudi], Ek, C.H.[Carl Henrik], Carlsson, S.[Stefan],
A Topological Framework for Training Latent Variable Models,
ICPR14(2471-2476)
IEEE DOI 1412
Adaptation models BibRef

Carbonell-Carrera, C.[Carlos], Gunalp, P.[Peri], Saorin, J.L.[Jose Luis], Hess-Medler, S.[Stephany],
Think Spatially With Game Engine,
IJGI(9), No. 3, 2020, pp. xx-yy.
DOI Link 2004
BibRef

Kowalczyk, A.M.[Anna Maria], Bajerowski, T.[Tomasz],
Development of the Theory of Six Value Aggregation Paths in Network Modeling for Spatial Analyses,
IJGI(9), No. 4, 2020, pp. xx-yy.
DOI Link 2005
6 values: Minimum And Maximum value difference, minimum and maximum value decrease, and minimum and maximum value increase. BibRef

Zhan, Y.B.[Yi-Bing], Yu, J.[Jun], Yu, T.[Ting], Tao, D.C.[Da-Cheng],
Multi-task Compositional Network for Visual Relationship Detection,
IJCV(128), No. 8-9, September 2020, pp. 2146-2165.
Springer DOI 2008
significance detection. BibRef

Xu, J.[Jun], Pan, X.[Xin],
A Fuzzy Spatial Region Extraction Model for Object's Vague Location Description from Observer Perspective,
IJGI(9), No. 12, 2020, pp. xx-yy.
DOI Link 2012
Placing objects that are no longer there based on old description. BibRef

Wen, Z., Peng, Y.,
Multi-Level Knowledge Injecting for Visual Commonsense Reasoning,
CirSysVideo(31), No. 3, March 2021, pp. 1042-1054.
IEEE DOI 2103
Cognition, Visualization, Task analysis, Knowledge based systems, Video recording, Image recognition, Knowledge discovery, visual question answering BibRef

Li, P.[Peng], Zhang, D.[Dezheng], Wulamu, A.[Aziguli], Liu, X.[Xin], Chen, P.[Peng],
Semantic Relation Model and Dataset for Remote Sensing Scene Understanding,
IJGI(10), No. 7, 2021, pp. xx-yy.
DOI Link 2108
BibRef

Zheng, C.X.[Chuan-Xia], Dao, D.S.[Duy-Son], Song, G.X.[Guo-Xian], Cham, T.J.[Tat-Jen], Cai, J.F.[Jian-Fei],
Visiting the Invisible: Layer-by-Layer Completed Scene Decomposition,
IJCV(129), No. 12, December 2021, pp. 3195-3215.
Springer DOI 2111
Consider invisible parts of known objects. Decompose, and infer spatial relations. BibRef

Deléarde, R.[Robin], Kurtz, C.[Camille], Wendling, L.[Laurent],
Description and recognition of complex spatial configurations of object pairs with Force Banner 2D features,
PR(123), 2022, pp. 108410.
Elsevier DOI 2112
Image analysis, Spatial relations, Relative position, Features and descriptors, Force histogram, Scene understanding BibRef

Romanschek, E.[Enrico], Clemen, C.[Christian], Huhnt, W.[Wolfgang],
A Novel Robust Approach for Computing DE-9IM Matrices Based on Space Partition and Integer Coordinates,
IJGI(10), No. 11, 2021, pp. xx-yy.
DOI Link 2112
BibRef

Cao, Q.W.[Qian-Wen], Huang, H.[Heyan],
VSRN: Visual-Semantic Relation Network for Video Visual Relation Inference,
CirSysVideo(32), No. 2, February 2022, pp. 768-777.
IEEE DOI 2202
Visualization, Feature extraction, Task analysis, Object detection, Trajectory, Semantics, Measurement, Visual relation inference, neural network BibRef

Cao, Q.W.[Qian-Wen], Huang, H.[Heyan], Ren, M.C.[Mu-Cheng], Yuan, C.S.[Chang-Sen],
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CirSysVideo(33), No. 5, May 2023, pp. 2233-2244.
IEEE DOI 2305
Semantics, Visualization, Birds, Knowledge based systems, Linguistics, Task analysis, Feature extraction, neural network BibRef

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Explicit Cross-Modal Representation Learning for Visual Commonsense Reasoning,
MultMed(24), 2022, pp. 2986-2997.
IEEE DOI 2206
Cognition, Video recording, Syntactics, Visualization, Task analysis, Semantics, Linguistics, Visual Commonsense Reasoning, interpretability BibRef

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IntPhys 2019: A Benchmark for Visual Intuitive Physics Understanding,
PAMI(44), No. 9, September 2022, pp. 5016-5025.
IEEE DOI 2208
Physics, Task analysis, Visualization, Shape, Predictive models, Motion pictures, Benchmark testing BibRef

You, Y.[Yang], Li, C.K.[Cheng-Kun], Lou, Y.J.[Yu-Jing], Cheng, Z.J.[Zhou-Jun], Li, L.W.[Liang-Wei], Ma, L.Z.[Li-Zhuang], Wang, W.M.[Wei-Ming], Lu, C.[Cewu],
Understanding Pixel-Level 2D Image Semantics With 3D Keypoint Knowledge Engine,
PAMI(44), No. 9, September 2022, pp. 5780-5795.
IEEE DOI 2208
Semantics, Engines, Annotations, Solid modeling, Pipelines, Training, Keypoint, dataset, point cloud, object analysis, semantic understanding BibRef

Zou, M.Q.[Mu-Quan], Wang, L.Z.[Li-Zhen], Wu, P.P.[Ping-Ping], Tran, V.[Vanha],
Mining Type-beta Co-Location Patterns on Closeness Centrality in Spatial Data Sets,
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Huang, Z.C.[Zong-Cai], Qiu, P.Y.[Pei-Yuan], Yu, L.[Li], Lu, F.[Feng],
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Referring relationship, Multimodal learning, Image and text, Visual grounding, Deep learning BibRef

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IEEE DOI 2309
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Corsino, V.[Víctor], Gilpérez, J.M.[José Manuel], Herrera, L.[Luis],
KitBit: A New AI Model for Solving Intelligence Tests and Numerical Series,
PAMI(45), No. 11, November 2023, pp. 13893-13903.
IEEE DOI 2310
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Yuan, M.[Mu], Zhang, L.[Lan], Zheng, Z.[Zimu], Zhang, Y.N.[Yi-Nan], Li, X.Y.[Xiang-Yang],
MLink: Linking Black-Box Models From Multiple Domains for Collaborative Inference,
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IEEE DOI 2310
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Guo, H.Y.[Hong-Yun], Yang, N.[Nai], Wang, Z.[Zhong], Fang, H.[Hao],
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Multi-Modal Structure-Embedding Graph Transformer for Visual Commonsense Reasoning,
MultMed(26), 2024, pp. 1295-1305.
IEEE DOI 2402
Visualization, Video recording, Transformers, Task analysis, Correlation, Linguistics, Commonsense reasoning, scored pooling BibRef

Zhu, J.[Jian], Wang, H.[Hanli], Shi, M.J.[Miao-Jing],
Multi-Modal Large Language Model Enhanced Pseudo 3D Perception Framework for Visual Commonsense Reasoning,
CirSysVideo(34), No. 11, November 2024, pp. 11682-11694.
IEEE DOI Code:
WWW Link. 2412
Visualization, Video recording, Task analysis, Estimation, Transformers, Commonsense reasoning, parameter optimization BibRef

Peng, B.[Bohua], He, W.[Wei], Chen, B.[Bin], Villavicencio, A.[Aline], Wu, C.[Chengfu],
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Elsevier DOI 2402
Information retrieval, Question generation, Entity linking, Chain-of-thought reasoning BibRef

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IEEE DOI 2403
Visualization, Cognition, Transformers, Knowledge graphs, Linguistics, Task analysis, Modulation, Attention model, visual reasoning BibRef

Chen, N.X.[Nan-Xi], Wang, X.[Xu], Sun, Q.[Qi], Li, J.[Jiamao], Zhang, X.L.[Xiao-Lin],
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Spatial relation recognition, Paired relation feature network, RGB-D images, Disparity BibRef

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Visual reasoning, Video prediction, Raven's progressive matrices BibRef

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ICCV23(2573-2583)
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ViperGPT: Visual Inference via Python Execution for Reasoning,
ICCV23(11854-11864)
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LogicSeg: Parsing Visual Semantics with Neural Logic Learning and Reasoning,
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Tang, Q.[Qu], Zhu, X.Y.[Xiang-Yu], Lei, Z.[Zhen], Zhang, Z.X.[Zhao-Xiang],
Intrinsic Physical Concepts Discovery with Object-Centric Predictive Models,
CVPR23(23252-23261)
IEEE DOI 2309
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Abstract Visual Reasoning Enabled by Language,
NFVLR23(2643-2647)
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3D-IntPhys: Towards More Generalized 3D-grounded Visual Intuitive Physics under Challenging Scenes,
Precognition23(3625-3635)
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Visual Programming: Compositional visual reasoning without training,
CVPR23(14953-14962)
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Constellations: A novel dataset for studying iterative inference in humans and AI,
SketchDL22(5138-5148)
IEEE DOI 2210
Visualization, Image recognition, Machine vision, Refining, Iterative algorithms, Inference algorithms BibRef

Zheng, S.P.[Si-Peng], Chen, S.Z.[Shi-Zhe], Jin, Q.[Qin],
VRDFormer: End-to-End Video Visual Relation Detection with Transformers,
CVPR22(18814-18824)
IEEE DOI 2210
Visualization, Codes, Benchmark testing, Tagging, Predictive models, Transformers, Scene analysis and understanding, Behavior analysis BibRef

Yu, D.R.[Dong-Ran], Yang, B.[Bo], Wei, Q.H.[Qian-Hao], Li, A.[Anchen], Pan, S.R.[Shi-Rui],
A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection,
CVPR22(10599-10608)
IEEE DOI 2210
Deep learning, Knowledge engineering, Visualization, Graphical models, Uncertainty, Markov processes, Visual reasoning BibRef

Cai, S.F.[Shao-Fei], Li, L.[Liang], Han, X.Z.[Xin-Zhe], Luo, J.B.[Jie-Bo], Zha, Z.J.[Zheng-Jun], Huang, Q.M.[Qing-Ming],
Automatic Relation-aware Graph Network Proliferation,
CVPR22(10853-10863)
IEEE DOI 2210
Deep learning, Upper bound, Message passing, Microprocessors, Design methodology, Computer architecture, Search problems, Machine learning BibRef

Goel, A.[Arushi], Fernando, B.[Basura], Keller, F.[Frank], Bilen, H.[Hakan],
Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation,
CVPR22(15575-15585)
IEEE DOI 2210
Training, Measurement, Visualization, Training data, Data models, Cognition, Vision+language, Scene analysis and understanding BibRef

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ICCV21(9940-9949)
IEEE DOI 2203
Visualization, Heuristic algorithms, Computational modeling, Reliability, Task analysis, Videos, Representation learning, Video analysis and understanding BibRef

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Interpretable Visual Reasoning via Induced Symbolic Space,
ICCV21(1858-1867)
IEEE DOI 2203
Visualization, Correlation, Cognition, Task analysis, Vision + language, Visual reasoning and logical representation BibRef

Zhang, C.[Chi], Jia, B.X.[Bao-Xiong], Edmonds, M.[Mark], Zhu, S.C.[Song-Chun], Zhu, Y.X.[Yi-Xin],
ACRE: Abstract Causal REasoning Beyond Covariation,
CVPR21(10638-10648)
IEEE DOI 2111
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Liu, P.R.[Pei-Rong], Tian, L.[Lin], Zhang, Y.[Yubo], Aylward, S.[Stephen], Lee, Y.[Yueh], Niethammer, M.[Marc],
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CVPR21(10077-10087)
IEEE DOI 2111
Solid modeling, Tensors, Transfer learning, Supervised learning, Mathematical models BibRef

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Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution,
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IEEE DOI 2111
Visualization, Navigation, Probabilistic logic, Rendering (computer graphics), Cognition BibRef

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AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning,
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IEEE DOI 2111
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WACV21(3519-3529)
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Visual Commonsense Representation Learning via Causal Inference,
MVM20(1547-1550)
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Reasoning about the Spatial Relationships Derived from a RAPT Program for Describing Assembly by Robot,
IJCAI83(842-844). BibRef 8300

Hwang, V.S.S., Matsuyama, T., Davis, L.S., Rosenfeld, A.,
Evidence Accumulation for Spatial Reasoning in Aerial Image Understanding,
ICPR84(394-397). BibRef 8400

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Knowledge-Based Vision .