13.3.5.1 Spatial Information and Features, Visual Relationships

Xie, Z.[Zhao], Gao, J.[Jun], Wu, X.D.[Xin-Dong],
Regional category parsing in undirected graphical models,
PRL(30), No. 14, 15 October 2009, pp. 1264-1272.
Elsevier DOI 0909
Spatial relations between patches. Regional categorization; Undirected graphical model; Pseudo-likelihood; Probability inference; Parameter estimation; ROC curve BibRef

Yang, F.L.[Feng-Lei], Li, B.M.[Bao-Min],
Unsupervised learning of spatial structures shared among images,
VC(27), No. 2, February 2011, pp. 175-180.
WWW Link. 1203
BibRef

Mobasseri, B.G.[Bijan G.], Krishnamurthy, P.[Preethi],
Spatio-temporal object relationships in image sequences using adjacency matrices,
SIViP(6), No. 2, June 2012, pp. 247-258.
WWW Link. 1205
BibRef

de Souza Gazolli, K.A.[Kelly Assis], Teatini Salles, E.O.[Evandro Ottoni],
Exploring neighborhood and spatial information for improving scene classification,
PRL(46), No. 1, 2014, pp. 83-88.
Elsevier DOI 1407
Image descriptor BibRef

Çeliktutan, O.[Oya], Wolf, C.[Christian], Sankur, B.[Bülent], Lombardi, E.[Eric],
Fast Exact Hyper-graph Matching with Dynamic Programming for Spatio-temporal Data,
JMIV(51), No. 1, January 2015, pp. 1-21.
Springer DOI 1503
BibRef

Dammak, M.[Mouna], Mejdoub, M.[Mahmoud], Ben Amar, C.[Chokri],
Histogram of dense subgraphs for image representation,
IET-IPR(9), No. 3, 2015, pp. 184-191.
DOI Link 1504
Model spatial info. feature extraction BibRef

Chang, J.Y.[Ju Yong], Lee, K.M.[Kyoung Mu],
Large margin learning of hierarchical semantic similarity for image classification,
CVIU(132), No. 1, 2015, pp. 3-11.
Elsevier DOI 1502
Image classification BibRef

Myeong, H.[Heesoo], Chang, J.Y.[Ju Yong], Lee, K.M.[Kyoung Mu],
Learning object relationships via graph-based context model,
CVPR12(2727-2734).
IEEE DOI 1208
BibRef

Myeong, H.[Heesoo], Lee, K.M.[Kyoung Mu],
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation,
CVPR13(3073-3080)
IEEE DOI 1309
BibRef

Cho, M.S.[Min-Su], Lee, K.M.[Kyoung Mu],
Mode-seeking on graphs via random walks,
CVPR12(606-613).
IEEE DOI 1208
BibRef

Lee, J.M.[Jung-Min], Cho, M.S.[Min-Su], Lee, K.M.[Kyoung Mu],
Hyper-graph matching via reweighted random walks,
CVPR11(1633-1640).
IEEE DOI 1106
BibRef
Earlier: A2, A1, A3:
Reweighted Random Walks for Graph Matching,
ECCV10(V: 492-505).
Springer DOI 1009
BibRef

Zhu, J.[Jun], Wu, T.F.[Tian-Fu], Zhu, S.C.[Song-Chun], Yang, X.K.[Xiao-Kang], Zhang, W.J.[Wen-Jun],
A Reconfigurable Tangram Model for Scene Representation and Categorization,
IP(25), No. 1, January 2016, pp. 150-166.
IEEE DOI 1601
BibRef
Earlier:
Learning reconfigurable scene representation by tangram model,
WACV12(449-456).
IEEE DOI 1203
Clustering algorithms. spatial configuration and appearance model. Compositional shape dictionary, with elements (tans) based on task. BibRef

Lee, C.S.[Chan-Su], Elgammal, A.E.[Ahmed E.], Torki, M.[Marwan],
Learning representations from multiple manifolds,
PR(50), No. 1, 2016, pp. 74-87.
Elsevier DOI 1512
BibRef
Earlier: A3, A2, A1:
Learning a Joint Manifold Representation from Multiple Data Sets,
ICPR10(1068-1071).
IEEE DOI 1008
Manifold learning BibRef

El-Gaaly, T.[Tarek], Torki, M.[Marwan], Elgammal, A.M.[Ahmed M.],
Spatial-Visual Label Propagation for Local Feature Classification,
ICPR14(3422-3427)
IEEE DOI 1412
Equations BibRef

Torki, M.[Marwan], Elgammal, A.M.[Ahmed M.],
Regression from local features for viewpoint and pose estimation,
ICCV11(2603-2610).
IEEE DOI 1201
BibRef
Earlier:
Putting local features on a manifold,
CVPR10(1743-1750).
IEEE DOI 1006
Capture both feature similarity and spatial arrangement. For learning. BibRef

Torki, M.[Marwan], Elgammal, A.M.[Ahmed M.],
One-shot multi-set non-rigid feature-spatial matching,
CVPR10(3058-3065).
IEEE DOI 1006
BibRef

Chakraborty, I.[Ishani], Elgammal, A.M.[Ahmed M.],
Object Localization by Propagating Connectivity via Superfeatures,
ICPR10(3069-3072).
IEEE DOI 1008
BibRef
Earlier:
Object localization using affine invariant substructure constraints,
ICPR08(1-5).
IEEE DOI 0812
BibRef

Zhong, Y.F.[Yan-Fei], Wu, S.[Siqi], Zhao, B.[Bei],
Scene Semantic Understanding Based on the Spatial Context Relations of Multiple Objects,
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link 1711
BibRef

Cui, W.[Wei], Wang, F.[Fei], He, X.[Xin], Zhang, D.Y.[Dong-You], Xu, X.X.[Xu-Xiang], Yao, M.[Meng], Wang, Z.[Ziwei], Huang, J.[Jiejun],
Multi-Scale Semantic Segmentation and Spatial Relationship Recognition of Remote Sensing Images Based on an Attention Model,
RS(11), No. 9, 2019, pp. xx-yy.
DOI Link 1905
Objects and spatial relations. BibRef

Clément, M.[Michaël], Kurtz, C.[Camille], Wendling, L.[Laurent],
Fuzzy directional enlacement landscapes for the evaluation of complex spatial relations,
PR(101), 2020, pp. 107185.
Elsevier DOI 2003
Evaluation of spatial relations, Fuzzy directional landscapes, Enlacement, Surrounding BibRef

Zhou, H.[Hao], Zhang, C.Y.[Chong-Yang], Zhao, M.M.[Mu-Ming], Luo, Y.[Yan], Hu, C.P.[Chuan-Ping],
Improving Visual Relationship Detection With Two-Stage Correlation Exploitation,
CirSysVideo(31), No. 7, July 2021, pp. 2751-2763.
IEEE DOI 2107
Visualization, Correlation, Proposals, Semantics, Task analysis, Explosions, Object detection, Visual relationship detection, label distribution BibRef

Deléarde, R.[Robin], Kurtz, C.[Camille], Dejean, P.[Philippe], Wendling, L.[Laurent],
Force Banner for the recognition of spatial relations,
ICPR21(6065-6072)
IEEE DOI 2105
Visualization, Image recognition, Shape, Force, Predictive models, Complexity theory BibRef

Plesse, F.[François], Ginsca, A.[Alexandru], Delezoide, B.[Bertrand], Prêteux, F.[Françoise],
Focusing Visual Relation Detection on Relevant Relations with Prior Potentials,
WACV20(2969-2978)
IEEE DOI 2006
Visualization, Feature extraction, Genomics, Bioinformatics, Predictive models, Task analysis BibRef

de M. Estevão Filho, R.[Roberto], Gomes, J.G.R.C.[José Gabriel R.C.], de O. Nunes, L.[Leonardo],
Visual Relationship Classification With Negative-Sample Mining,
ICIP20(2251-2255)
IEEE DOI 2011
How parts of the scene are related. Visualization, Feature extraction, Task analysis, Encoding, Training, Object detection, Detectors, deep convolutional neural networks, machine learning BibRef

Hu, H., Zhang, Z., Xie, Z., Lin, S.,
Local Relation Networks for Image Recognition,
ICCV19(3463-3472)
IEEE DOI 2004
data visualisation, feature extraction, image classification, image matching, image representation, Adaptation models BibRef

Nigam, I.[Ishan], Tokmakov, P.[Pavel], Ramanan, D.[Deva],
Towards Latent Attribute Discovery From Triplet Similarities,
ICCV19(402-410)
IEEE DOI 2004
learning (artificial intelligence), triplet similarity comparisons, LSNs, Semantics BibRef

Krishna, R.[Ranjay], Chen, V.[Vincent], Varma, P.[Paroma], Bernstein, M.[Michael], Ré, C.[Christopher], Fei-Fei, L.[Li],
Scene Graph Prediction With Limited Labels,
ICCV19(2580-2590)
IEEE DOI 2004
BibRef
And: A2, A3, A1, A4, A5, A6: SGRL19(1772-1782)
IEEE DOI 2004
Visual relationships. Visualization, Complexity theory, Feature extraction, Genomics, Bioinformatics, Training, Data models, weak supervision, visual knowledge base. computational complexity, graph theory, knowledge based systems, learning (artificial intelligence), Data models BibRef

Peyre, J., Sivic, J., Laptev, I., Schmid, C.,
Detecting Unseen Visual Relations Using Analogies,
ICCV19(1981-1990)
IEEE DOI 2004
image recognition, image representation, image retrieval, learning (artificial intelligence), unseen visual relations, Vocabulary BibRef

Hu, R., Rohrbach, A., Darrell, T.J., Saenko, K.,
Language-Conditioned Graph Networks for Relational Reasoning,
ICCV19(10293-10302)
IEEE DOI 2004
Code, Graph Representation.
WWW Link. feature extraction, graph theory, image representation, inference mechanisms, iterative methods, message passing, Knowledge discovery BibRef

Dorda, D.[Daniel], Nabi, M.[Moin],
SynthRel0: Towards a Diagnostic Dataset for Relational Representation Learning,
SGRL19(1765-1771)
IEEE DOI 2004
approximation theory, computer vision, data analysis, entropy, graph theory, learning (artificial intelligence), SynthRel0, diagnostic dataset BibRef

Dornadula, A.[Apoorva], Narcomey, A.[Austin], Krishna, R.[Ranjay], Bernstein, M.[Michael], Li, F.F.[Fei-Fei],
Visual Relationships as Functions: Enabling Few-Shot Scene Graph Prediction,
SGRL19(1730-1739)
IEEE DOI 2004
convolutional neural nets, data visualisation, graph theory, image classification, image representation, image understanding BibRef

Gao, X.[Xiyue], Chen, J.[Jun], Yao, J.[Jing], Zhu, W.Q.[Wen-Qian],
LDSNE: Learning Structural Network Embeddings by Encoding Local Distances,
MMMod20(I:642-652).
Springer DOI 2003
ow-dimensional features from the relationships and attributes of networks. BibRef

Qi, M.S.[Meng-Shi], Li, W.J.[Wei-Jian], Yang, Z.Y.[Zheng-Yuan], Wang, Y.H.[Yun-Hong], Luo, J.B.[Jie-Bo],
Attentive Relational Networks for Mapping Images to Scene Graphs,
CVPR19(3952-3961).
IEEE DOI 2002
BibRef

Gkanatsios, N.[Nikolaos], Pitsikalis, V.[Vassilis], Koutras, P.[Petros], Zlatintsi, A.[Athanasia], Maragos, P.[Petros],
Deeply Supervised Multimodal Attentional Translation Embeddings for Visual Relationship Detection,
ICIP19(1840-1844)
IEEE DOI 1910
BibRef
And:
Showcasing Deeply Supervised Multimodal Attentional Translation Embeddings: a Demo for Visual Relationship Detection,
ICIP19(2456-2456)
IEEE DOI 1910
Visual Relationship Detection, Attention, Multiple Modalities, Translation Embeddings, Deep Supervision. Web Demo, Online Predictions, Video Streaming BibRef

Gay, P.[Paul], Stuart, J.[James], del Bue, a.[alessio],
Visual Graphs from Motion (VGfM): Scene Understanding with Object Geometry Reasoning,
ACCV18(III:330-346).
Springer DOI 1906
BibRef

Kim, D., Yoo, Y., Kim, J., Lee, S., Kwak, N.,
Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams,
CVPR18(4167-4175)
IEEE DOI 1812
Visualization, Image edge detection, Recurrent neural networks, Knowledge engineering, Layout, Detectors BibRef

Zhang, H.W.[Han-Wang], Kyaw, Z.L.[Zaw-Lin], Yu, J., Chang, S.F.[Shih-Fu],
PPR-FCN: Weakly Supervised Visual Relation Detection via Parallel Pairwise R-FCN,
ICCV17(4243-4251)
IEEE DOI 1802
computational complexity, computer vision, convolution, feature selection, image classification, Visualization BibRef

Zhang, H.W.[Han-Wang], Kyaw, Z.L.[Zaw-Lin], Chang, S.F.[Shih-Fu], Chua, T.S.[Tat-Seng],
Visual Translation Embedding Network for Visual Relation Detection,
CVPR17(3107-3115)
IEEE DOI 1711
Computational modeling, Feature extraction, Knowledge based systems, Knowledge transfer, Object detection, Visualization BibRef

Dai, B., Zhang, Y., Lin, D.,
Detecting Visual Relationships with Deep Relational Networks,
CVPR17(3298-3308)
IEEE DOI 1711
Detectors, Feature extraction, Genomics, Machine learning, Visualization BibRef

Zhang, Z.[Zhang], Huang, K.Q.[Kai-Qi], Tan, T.N.[Tie-Niu], Yang, P.P.[Pei-Pei], Li, J.[Jun],
ReD-SFA: Relation Discovery Based Slow Feature Analysis for Trajectory Clustering,
CVPR16(752-760)
IEEE DOI 1612
Construct relation graph BibRef

Ding, N.[Nan], Deng, J.[Jia], Murphy, K.P.[Kevin P.], Neven, H.[Hartmut],
Probabilistic Label Relation Graphs with Ising Models,
ICCV15(1161-1169)
IEEE DOI 1602
Animals BibRef

Gupta, R.K.[Raj Kumar], Pandey, M.[Megha], Chia, A.Y.S.[Alex Y.S.],
Learning Discriminative Visual N-grams from Mid-level Image Features,
BMVC15(xx-yy).
DOI Link 1601
mid-level elements, spatial configurations and co-occurrence relations. BibRef

Zou, Z.J.[Zi-Jun], Koga, H.[Hisashi],
Spatially Aware Enhancement of BoVW-Based Image Retrieval Exploiting a Saliency Map,
CAIP15(II:73-84).
Springer DOI 1511
BibRef

Ionescu, R.T.[Radu Tudor], Popescu, M.[Marius],
Have a SNAK. Encoding Spatial Information with the Spatial Non-alignment Kernel,
CIAP15(I:97-108).
Springer DOI 1511
Embed spatial information in a kernel. BibRef

Varadarajan, K.M.[Karthik Mahesh], Vincze, M.[Markus],
4D Space-Time Mereotopogeometry-Part Connectivity Calculus for Visual Object Representation,
ICPR14(4316-4321)
IEEE DOI 1412
Pattern recognition. Relations between regions. BibRef

Cai, X.[Xiao], Wang, H.[Hua], Huang, H.[Heng], Ding, C.[Chris],
Simultaneous Image Classification and Annotation via Biased Random Walk on Tri-relational Graph,
ECCV12(VI: 823-836).
Springer DOI 1210
BibRef

Zhang, L.M.[Lu-Ming], Song, M.L.[Ming-Li], Sun, L.[Li], Liu, X.[Xiao], Wang, Y.T.[Yin-Ting], Tao, D.C.[Da-Cheng], Bu, J.J.[Jia-Jun], Chen, C.[Chun],
Spatial graphlet matching kernel for recognizing aerial image categories,
ICPR12(2813-2816).
WWW Link. 1302
BibRef

Wang, H.[Hua], Huang, H.[Heng], Ding, C.[Chris],
Image annotation using bi-relational graph of images and semantic labels,
CVPR11(793-800).
IEEE DOI 1106
BibRef
Earlier:
Image Categorization Using Directed Graphs,
ECCV10(III: 762-775).
Springer DOI 1009
BibRef
Earlier:
Image annotation using multi-label correlated Green's function,
ICCV09(2029-2034).
IEEE DOI 0909
BibRef

Morales-González, A.[Annette], García-Reyes, E.[Edel],
Assessing the Role of Spatial Relations for the Object Recognition Task,
CIARP10(549-556).
Springer DOI 1011
Use Spatial relations. BibRef

Zheng, Y.B.[Ying-Bin], Lu, H.[Hong], Jin, C.[Cheng], Xue, X.Y.[Xiang-Yang],
Incorporating Spatial Correlogram into Bag-of-Features Model for Scene Categorization,
ACCV09(I: 333-342).
Springer DOI 0909
Add spatial information. Bag of features, histogram of features in image. Add: distance distribution of pairwise interest regions. BibRef

Zhang, Z.M.[Zi-Ming], Li, Z.N.[Ze-Nian], Drew, M.S.[Mark S.],
Feature correspondence with constrained global spatial structures,
ICIP09(177-180).
IEEE DOI 0911
BibRef

Tauber, Z.[Zinovi], Li, Z.N.[Ze-Nian], Drew, M.S.[Mark S.],
Spatial Topology Graphs for Feature-Minimal Correspondence,
CRV07(432-439).
IEEE DOI 0705
BibRef

Marszaek, M.[Marcin], Schmid, C.[Cordelia],
Spatial Weighting for Bag-of-Features,
CVPR06(II: 2118-2125).
IEEE DOI 0606
Image is an orderless collection of features. BibRef

Lazebnik, S.[Svetlana], Schmid, C.[Cordelia], Ponce, J.[Jean],
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories,
CVPR06(II: 2169-2178).
IEEE DOI
PDF File. 0606
Award, Longuet-Higgins. (after 10 years). For data:
See also University of Illinois Datasets. BibRef

Aksoy, S.[Selim],
Modeling of Remote Sensing Image Content Using Attributed Relational Graphs,
SSPR06(475-483).
Springer DOI 0608
BibRef

Han, D.I.[Dong-Il], You, B.J.[Bum-Jae], Kim, Y.S.[Yong Se], Suh, I.H.[Il Hong],
A Generic Shape Matching with Anchoring of Knowledge Primitives of Object Ontology,
ICIAR05(473-480).
Springer DOI 0509
Assemblies of functional features and spatial relations. BibRef

Feng, J., Boyce, J.F.,
Object Recognition Using Relational Clique and Cycle Mappings,
ICPR88(I: 313-315).
IEEE DOI BibRef 8800

Chapter on Matching and Recognition Using Volumes, High Level Vision Techniques, Invariants continues in
Graph Matching, Neural Networks, Hopfield Networks .