Khan, F.S.[Fahad Shahbaz],
Anwer, R.M.[Rao Muhammad],
van de Weijer, J.[Joost],
Bagdanov, A.D.[Andrew D.],
Lopez, A.M.[Antonio M.],
Felsberg, M.[Michael],
Coloring Action Recognition in Still Images,
IJCV(105), No. 3, December 2013, pp. 205-221.
Springer DOI
1309
From static images. Shape cues and color.
BibRef
Guo, G.D.[Guo-Dong],
Lai, A.[Alice],
A survey on still image based human action recognition,
PR(47), No. 10, 2014, pp. 3343-3361.
Elsevier DOI
1406
Survey, Action Recognition. Action recognition
BibRef
Cheema, M.S.[Muhammad Shahzad],
Eweiwi, A.[Abdalrahman],
Bauckhage, C.[Christian],
Human activity recognition by separating style and content,
PRL(50), No. 1, 2014, pp. 130-138.
Elsevier DOI
1410
BibRef
Earlier:
Who is doing what? Simultaneous recognition of actions and actors,
ICIP12(749-752).
IEEE DOI
1302
Action recognition
BibRef
Cheema, M.S.[Muhammad Shahzad],
Eweiwi, A.[Abdalrahman],
Bauckhage, C.[Christian],
Gait recognition by learning distributed key poses,
ICIP12(1393-1396).
IEEE DOI
1302
BibRef
Liu, A.,
Su, Y.,
Jia, P.,
Gao, Z.,
Hao, T.,
Yang, Z.,
Multipe/Single-View Human Action Recognition via Part-Induced
Multitask Structural Learning,
Cyber(45), No. 6, June 2015, pp. 1194-1208.
IEEE DOI
1506
Correlation
BibRef
Eweiwi, A.[Abdalrahman],
Cheema, M.S.[Muhammad Shahzad],
Bauckhage, C.[Christian],
Action recognition in still images by learning spatial interest
regions from videos,
PRL(51), No. 1, 2015, pp. 8-15.
Elsevier DOI
1412
BibRef
Earlier: A2, A1, A3:
A Stochastic Late Fusion Approach to Human Action Recognition in
Unconstrained Images and Videos,
GCPR14(616-628).
Springer DOI
1411
BibRef
Earlier: A1, A2, A3:
Discriminative Joint Non-negative Matrix Factorization for Human Action
Classification,
GCPR13(61-70).
Springer DOI
1311
Action recognition
BibRef
Eweiwi, A.[Abdalrahman],
Cheema, M.S.[Muhammed S.],
Bauckhage, C.[Christian],
Gall, J.[Juergen],
Efficient Pose-Based Action Recognition,
ACCV14(V: 428-443).
Springer DOI
1504
BibRef
Cheema, M.S.[Muhammad Shahzad],
Eweiwi, A.[Abdalrahman],
Thurau, C.[Christian],
Bauckhage, C.[Christian],
Action recognition by learning discriminative key poses,
PEAction11(1302-1309).
IEEE DOI
1201
BibRef
And: A2, A1, A3, A4:
Temporal key poses for human action recognition,
PEAction11(1310-1317).
IEEE DOI
1201
BibRef
Zhang, Y.,
Cheng, L.,
Wu, J.,
Cai, J.,
Do, M.N.,
Lu, J.,
Action Recognition in Still Images With Minimum Annotation Efforts,
IP(25), No. 11, November 2016, pp. 5479-5490.
IEEE DOI
1610
Detectors
BibRef
Zhang, L.[Lei],
Li, C.X.[Chang-Xi],
Peng, P.[Peipei],
Xiang, X.Z.[Xue-Zhi],
Song, J.[Jingkuan],
Towards optimal VLAD for human action recognition from still images,
IVC(55, Part 2), No. 1, 2016, pp. 53-63.
Elsevier DOI
1612
VLAD
BibRef
Yan, S.Y.[Shi-Yang],
Smith, J.S.[Jeremy S.],
Zhang, B.L.[Bai-Ling],
Action Recognition from Still Images Based on Deep VLAD Spatial
Pyramids,
SP:IC(54), No. 1, 2017, pp. 118-129.
Elsevier DOI
1704
BibRef
And:
Attributes and Action Recognition Based on Convolutional Neural
Networks and Spatial Pyramid VLAD Encoding,
BEST16(III: 500-514).
Springer DOI
1704
Actions
BibRef
Yan, S.Y.[Shi-Yang],
Smith, J.S.[Jeremy S.],
Lu, W.J.[Wen-Jin],
Zhang, B.L.[Bai-Ling],
Hierarchical Multi-scale Attention Networks for action recognition,
SP:IC(61), No. 1, 2018, pp. 73-84.
Elsevier DOI
1801
Action recognition
BibRef
Sharma, G.[Gaurav],
Jurie, F.[Frederic],
Schmid, C.[Cordelia],
Expanded Parts Model for Semantic Description of Humans in Still
Images,
PAMI(39), No. 1, January 2017, pp. 87-101.
IEEE DOI
1612
BibRef
Earlier:
Expanded Parts Model for Human Attribute and Action Recognition in
Still Images,
CVPR13(652-659)
IEEE DOI
1309
Analytical models.
attributes
See also EPML: Expanded Parts Based Metric Learning for Occlusion Robust Face Verification.
BibRef
Zhao, Z.C.[Zhi-Chen],
Ma, H.M.[Hui-Min],
Chen, X.Z.[Xiao-Zhi],
Generalized symmetric pair model for action classification in still
images,
PR(64), No. 1, 2017, pp. 347-360.
Elsevier DOI
1701
Generalized symmetry
BibRef
Vieira, T.[Thales],
Faugeroux, R.[Romain],
Martínez, D.[Dimas],
Lewiner, T.[Thomas],
Online human moves recognition through discriminative key poses and
speed-aware action graphs,
MVA(28), No. 1-2, February 2017, pp. 185-200.
Springer DOI
1702
BibRef
Wang, J.,
Wang, G.,
Hierarchical Spatial Sum-Product Networks for Action Recognition in
Still Images,
CirSysVideo(28), No. 1, January 2018, pp. 90-100.
IEEE DOI
1801
Computational modeling, Correlation,
Feature extraction, Image recognition, Robustness, Videos,
sum-product networks (SPNs)
BibRef
Herath, S.[Samitha],
Fernando, B.[Basura],
Harandi, M.[Mehrtash],
Using temporal information for recognizing actions from still images,
PR(96), 2019, pp. 106989.
Elsevier DOI
1909
Still image action recognition, Two-stream, Optical-flow, Dynamic-images
BibRef
Xue, F.[Fan],
Li, X.[Xiao],
Lu, W.S.[Wei-Sheng],
Webster, C.J.[Christopher J.],
Chen, Z.[Zhe],
Lin, L.[Lvwen],
Big Data-Driven Pedestrian Analytics: Unsupervised Clustering and
Relational Query Based on Tencent Street View Photographs,
IJGI(10), No. 8, 2021, pp. xx-yy.
DOI Link
2108
From 500,000+ images.
BibRef
Dong, J.[Jian],
Yang, W.K.[Wan-Kou],
Yao, Y.Z.[Ya-Zhou],
Porikli, F.M.[Fatih M.],
Knowledge memorization and generation for action recognition in still
images,
PR(120), 2021, pp. 108188.
Elsevier DOI
2109
Action recognition, Deep learning, Knowledge-transfer
BibRef
Niu, L.[Li],
Huang, S.Y.[Sheng-Yuan],
Zhao, X.[Xing],
Kang, L.[Liwei],
Zhang, Y.[Yiyi],
Zhang, L.Q.[Li-Qing],
Hallucinating uncertain motion and future for static image action
recognition,
CVIU(215), 2022, pp. 103337.
Elsevier DOI
2201
Action recognition, Unlabeled videos, Motion feature, Future feature
BibRef
Goyal, G.[Gaurvi],
Noceti, N.[Nicoletta],
Odone, F.[Francesca],
Cross-view action recognition with small-scale datasets,
IVC(120), 2022, pp. 104403.
Elsevier DOI
2204
Cross-view action recognition, Pre-trained deep features,
Transfer learning, Multiview action recognition
BibRef
Goyal, G.[Gaurvi],
Noceti, N.[Nicoletta],
Odone, F.[Francesca],
Single View Learning in Action Recognition,
ICPR21(3690-3697)
IEEE DOI
2105
Training, Deep learning, Pipelines, Data acquisition, Training data,
Pattern recognition, Knowledge transfer
BibRef
Bas, C.[Cagdas],
Ikizler-Cinbis, N.[Nazli],
Top-down and bottom-up attentional multiple instance learning for
still image action recognition,
SP:IC(104), 2022, pp. 116664.
Elsevier DOI
2204
Still image action recognition, Multiple instance learning, Attention
BibRef
Song, S.Y.[Si-Yang],
Sanchez, E.[Enrique],
Shen, L.L.[Lin-Lin],
Valstar, M.[Michel],
Self-supervised learning of Dynamic Representations for Static Images,
ICPR21(1619-1626)
IEEE DOI
2105
Training, Face recognition, Estimation, Bidirectional control, Task analysis
BibRef
Li, R.[Runze],
Bhanu, B.[Bir],
The Role of Cycle Consistency for Generating Better Human Action
Videos from a Single Frame,
ICPR21(1513-1520)
IEEE DOI
2105
Semantics, Generators, Pattern recognition, Videos, Sports
BibRef
Papadopoulos, K.,
Ghorbel, E.,
Oyedotun, O.,
Aouada, D.,
Ottersten, B.,
DeepVI: A Novel Framework for Learning Deep View-Invariant Human
Action Representations using a Single RGB Camera,
FG20(138-145)
IEEE DOI
2102
Skeleton, Feature extraction, Cameras, Trajectory, Pose estimation
BibRef
Park, J.S.[Jae Sung],
Bhagavatula, C.[Chandra],
Mottaghi, R.[Roozbeh],
Farhadi, A.[Ali],
Choi, Y.[Yejin],
Visualcomet: Reasoning About the Dynamic Context of a Still Image,
ECCV20(V:508-524).
Springer DOI
2011
BibRef
Girish, D.,
Singh, V.,
Ralescu, A.,
Understanding action recognition in still images,
CICV20(1523-1529)
IEEE DOI
2008
Image recognition, Feature extraction, Shape, Task analysis,
Pattern recognition, Search problems
BibRef
Liu, S.[Si],
Wang, C.H.[Chang-Hu],
Qian, R.H.[Rui-He],
Yu, H.[Han],
Bao, R.[Renda],
Sun, Y.[Yao],
Surveillance Video Parsing with Single Frame Supervision,
CVPR17(1013-1021)
IEEE DOI
1711
Estimation, Image segmentation, Optical imaging, Semantics,
Surveillance, Testing, Training
One labelled frame in the video.
BibRef
Liu, L.[Lu],
Tan, R.T.[Robby T.],
You, S.D.[Shao-Di],
Loss Guided Activation for Action Recognition in Still Images,
ACCV18(V:152-167).
Springer DOI
1906
BibRef
Lohit, S.,
Bansal, A.,
Shroff, N.,
Pillai, J.,
Turaga, P.,
Chellappa, R.,
Predicting Dynamical Evolution of Human Activities from a Single
Image,
Diff-CVML18(496-49609)
IEEE DOI
1812
Dynamics, Motion segmentation, Trajectory, Uncertainty, Training,
Activity recognition, Computational modeling
BibRef
Gao, R.,
Xiong, B.,
Grauman, K.,
Im2Flow: Motion Hallucination from Static Images for Action
Recognition,
CVPR18(5937-5947)
IEEE DOI
1812
Videos, Optical imaging, Image recognition, Dynamics, Visualization,
Encoding, Training
BibRef
Balouchian, P.[Pooyan],
Safaei, M.[Marjaneh],
Foroosh, H.[Hassan],
LUCFER: A Large-Scale Context-Sensitive Image Dataset for Deep
Learning of Visual Emotions,
WACV19(1645-1654)
IEEE DOI
1904
BibRef
Earlier: A2, A1, A3:
TICNN: A Hierarchical Deep Learning Framework for Still Image Action
Recognition Using Temporal Image Prediction,
ICIP18(3463-3467)
IEEE DOI
1809
still image action recognition.
data mining, emotion recognition, image classification,
image retrieval, learning (artificial intelligence),
Task analysis.
Videos, Image recognition, Predictive models, Training, Skeleton,
Image segmentation, Tensor decomposition,
BibRef
Zhao, Z.,
Ma, H.,
You, S.,
Single Image Action Recognition Using Semantic Body Part Actions,
ICCV17(3411-3419)
IEEE DOI
1802
feature extraction, image recognition, image segmentation,
semantic networks, PASCAL VOC 2012, Stanford-40,
Torso
BibRef
Roy, A.[Abhinaba],
Banerjee, B.[Biplab],
Murino, V.[Vittorio],
Discriminative Dictionary Design for Action Classification in Still
Images,
CIAP17(II:160-170).
Springer DOI
1711
BibRef
Chao, Y.W.,
Yang, J.,
Price, B.,
Cohen, S.,
Deng, J.,
Forecasting Human Dynamics from Static Images,
CVPR17(3643-3651)
IEEE DOI
1711
Decoding, Forecasting, Heating systems, Pose estimation, Skeleton
BibRef
Sharma, K.,
Kumar, A.C.,
Bhandarkar, S.M.[Suchendra M.],
Action Recognition in Still Images Using Word Embeddings from Natural
Language Descriptions,
HAAHDC17(58-66)
IEEE DOI
1609
image motion analysis, natural language processing,
object detection, NLP-based approaches, action detection,
natural language descriptions, natural language processing,
object-verb-object triplet models, still images,
top object detection, training, verb detection,
visual action detectors, word embeddings, word2vec, Context,
Detectors, Feature extraction, Image recognition, Reliability,
Training, Visualization, Object-Verb-Object triplet model,
action recognition, natural language processing, word2vec, model
BibRef
Favorskaya, M.,
Novikov, D.,
Savitskaya, Y.,
Human Action Poselets Estimation Via Color G-Surf in Still Images,
PTVSBB15(51-58).
DOI Link
1508
BibRef
Guan, N.Y.[Nai-Yang],
Tao, D.C.[Da-Cheng],
Lan, L.[Long],
Luo, Z.G.[Zhi-Gang],
Yang, X.J.[Xue-Jun],
Activity Recognition in Still Images with Transductive Non-negative
Matrix Factorization,
VECTaR14(802-817).
Springer DOI
1504
BibRef
Zheng, Y.[Yin],
Zhang, Y.J.[Yu-Jin],
Li, X.[Xue],
Liu, B.D.[Bao-Di],
Action recognition in still images using a combination of human pose
and context information,
ICIP12(785-788).
IEEE DOI
1302
BibRef
Delaitre, V.[Vincent],
Laptev, I.[Ivan],
Sivic, J.[Josef],
Recognizing human actions in still images:
A study of bag-of-features and part-based representations,
BMVC10(xx-yy).
HTML Version.
1009
BibRef
Ullah, M.M.[Muhammad Muneeb],
Parizi, S.N.[Sobhan Naderi],
Laptev, I.[Ivan],
Improving Bag-of-features Action Recognition with Non-local Cues,
BMVC10(xx-yy).
HTML Version.
1009
BibRef
Yang, W.L.[Wei-Long],
Wang, Y.[Yang],
Mori, G.[Greg],
Recognizing human actions from still images with latent poses,
CVPR10(2030-2037).
IEEE DOI
1006
BibRef
And:
Efficient Human Action Detection Using a Transferable Distance Function,
ACCV09(II: 417-426).
Springer DOI
0909
BibRef
Earlier:
Human action recognition from a single clip per action,
MLMotion09(482-489).
IEEE DOI
0910
BibRef
Thurau, C.[Christian],
Hlavac, V.[Vaclav],
Pose primitive based human action recognition in videos or still images,
CVPR08(1-8).
IEEE DOI
0806
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Human Action Recognition and Detection Using Human Pose .