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2006
Semantics, Training, Video sequences, Prototypes, Testing,
Visualization, Object recognition, Zero-shot learning,
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Training, Testing, Training data, Computational modeling,
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Spatiotemporal phenomena, Task analysis, Feature extraction,
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Ma, Z.G.,
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Knowledge Adaptation with Partially Shared Features for Event
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1408
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Zhang, L.L.[Ling-Ling],
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Few-shot learning, Activity recognition, Cross-modal memory
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CirSysVideo(34), No. 10, October 2024, pp. 9798-9807.
IEEE DOI
2411
Skeleton, Training, Feature extraction, Image recognition,
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Lan, Z.Z.[Zhen-Zhong],
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MMMod14(I: 388-399).
Springer DOI
1405
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A discriminative CNN video representation for event detection,
CVPR15(1798-1807)
IEEE DOI
1510
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Fan, H.,
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Complex Event Detection by Identifying Reliable Shots from Untrimmed
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ICCV17(736-744)
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1802
feature extraction, image classification,
learning (artificial intelligence), optimisation,
Videos
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Ballas, N.[Nicolas],
Yang, Y.[Yi],
Lan, Z.Z.[Zhen-Zhong],
Delezoide, B.[Bertrand],
Preteux, F.[Francoise],
Hauptmann, A.G.[Alexander G.],
Space-Time Robust Representation for Action Recognition,
ICCV13(2704-2711)
IEEE DOI
1403
WSVM; action recognition; pooling; saliency; sparse regularization
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Wang, S.[Sen],
Yang, Y.[Yi],
Ma, Z.G.[Zhi-Gang],
Li, X.[Xue],
Pang, C.Y.[Chao-Yi],
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Action recognition by exploring data distribution and feature
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CVPR12(1370-1377).
IEEE DOI
1208
BibRef
Yin, J.Q.[Jian-Qin],
Liu, X.L.[Xiao-Li],
Sun, F.C.[Fu-Chun],
Liu, H.P.[Hua-Ping],
Liu, Z.Q.[Zhi-Qiang],
Wang, B.[Bin],
Liu, J.[Jun],
Yin, Y.L.[Yi-Long],
One-Shot SADI-EPE: A Visual Framework of Event Progress Estimation,
CirSysVideo(29), No. 6, June 2019, pp. 1659-1671.
IEEE DOI
1906
Visualization, Estimation, Training, Task analysis, Training data,
Data models,
kNN
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CVIU(210), 2021, pp. 103250.
Elsevier DOI
2109
Few-shot action recognition, Temporal modeling,
Implicit alignment, Similarity optimization
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IEEE DOI
2209
Semantics, Computational modeling, Encoding, Observers, Estimation,
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Liu, S.W.[Shu-Wen],
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Kong, J.[Jun],
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CirSysVideo(32), No. 10, October 2022, pp. 6955-6966.
IEEE DOI
2210
Prototypes, Training, Feature extraction, Optimization,
Image recognition, Face recognition, Visualization, temporal modeling
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Zhang, L.L.[Ling-Ling],
Chang, X.J.[Xiao-Jun],
Liu, J.[Jun],
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Li, Z.H.[Zhi-Hui],
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TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity
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PAMI(45), No. 3, March 2023, pp. 3848-3861.
IEEE DOI
2302
Training, Proposals, Feature extraction, Transformers, Task analysis,
Windows, Temporal activity detection, zero-shot learning,
transfer property
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Zhang, L.L.[Ling-Ling],
Chang, X.J.[Xiao-Jun],
Liu, J.[Jun],
Luo, M.[Minnan],
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Ge, Z.Y.[Zong-Yuan],
Hauptmann, A.G.[Alexander G.],
ZSTAD: Zero-Shot Temporal Activity Detection,
CVPR20(876-885)
IEEE DOI
2008
Semantics, Proposals, Training, Task analysis, Feature extraction
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Pan, F.[Fei],
Xu, C.L.[Chun-Lei],
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IET-CV(17), No. 1, 2023, pp. 39-50.
DOI Link
2303
BibRef
Wang, X.[Xiang],
Zhang, S.W.[Shi-Wei],
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Sang, N.[Nong],
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CVIU(233), 2023, pp. 103737.
Elsevier DOI
2307
Few-shot action recognition, Cross-domain,
Self-supervised learning, Temporal modeling
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Gao, J.J.[Jia-Jun],
Hou, Y.H.[Yong-Hong],
Guo, Z.H.[Zi-Hui],
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CirSysVideo(33), No. 11, November 2023, pp. 6519-6530.
IEEE DOI
2311
BibRef
Gao, Z.Y.[Zhi-Yi],
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Guo, Z.H.[Zi-Hui],
Yu, B.[Bin],
Learning Using Privileged Information for Zero-shot Action Recognition,
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Springer DOI
2307
BibRef
Wang, X.[Xiao],
Ye, W.R.[Wei-Rong],
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IEEE DOI
2310
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Wang, X.[Xiao],
Yan, Y.[Yan],
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Li, B.[Bo],
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IP(33), 2024, pp. 1257-1271.
IEEE DOI
2402
Self-supervised learning, Visualization, Semantics,
Image recognition, Task analysis, Feature extraction,
contrastive learning
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Lu, Y.[Yang],
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Wang, H.Z.[Han-Zi],
Few-Shot Action Recognition via Multi-View Representation Learning,
CirSysVideo(34), No. 9, September 2024, pp. 8522-8535.
IEEE DOI
2410
Task analysis, Convolution, Representation learning, Training,
Circuits and systems, Prototypes, Few-shot learning,
multi-view representation learning
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Wang, G.G.[Guang-Ge],
Ye, W.R.[Wei-Rong],
Wang, X.[Xiao],
Jin, R.R.[Rong-Rong],
Wang, H.Z.[Han-Zi],
Visual Tempo Contrastive Learning for Few-Shot Action Recognition,
ICIP22(1096-1100)
IEEE DOI
2211
Training, Measurement, Visualization, Image coding,
Image recognition, Dynamics, Semantics, Few-shot learning, contrastive learning
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Shi, Y.H.[Yu-Heng],
Wu, X.X.[Xin-Xiao],
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Luo, J.B.[Jie-Bo],
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Videos,
MultMed(26), 2024, pp. 8395-8405.
IEEE DOI
2408
Videos, Proposals, Semantics, Task analysis, Visualization, Training,
Text recognition, Few-shot action recognition, action semantics
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Huang, Y.F.[Yi-Fei],
Yang, L.J.[Li-Jin],
Chen, G.[Guo],
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IJCV(132), No. 1, January 2024, pp. 3977-4002.
Springer DOI
2409
BibRef
Earlier: A1, A2, A6, Only:
Compound Prototype Matching for Few-Shot Action Recognition,
ECCV22(IV:351-368).
Springer DOI
2211
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Deng, L.[Long],
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Zhou, B.X.[Bing-Xin],
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Two-Stream Temporal Feature Aggregation Based on Clustering for
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SPLetters(31), 2024, pp. 2435-2439.
IEEE DOI
2410
Videos, Optical flow, Feature extraction, Gray-scale, Image color analysis,
Semantics, Computational modeling, few-shot learning
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Feng, Y.B.[Yang-Bo],
Gao, J.Y.[Jun-Yu],
Xu, C.S.[Chang-Sheng],
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MultMed(26), 2024, pp. 9825-9838.
IEEE DOI
2410
Task analysis, Videos, Prototypes, Adaptation models,
Spatiotemporal phenomena, Routing, Power capacitors,
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Chen, C.F.[Chao-Fan],
Xu, C.S.[Chang-Sheng],
Active Exploration of Multimodal Complementarity for Few-Shot Action
Recognition,
CVPR23(6492-6502)
IEEE DOI
2309
BibRef
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Zhang, S.W.[Shi-Wei],
Qing, Z.W.[Zhi-Wu],
Gao, C.X.[Chang-Xin],
Zhang, Y.Y.[Ying-Ya],
Zhao, D.L.[De-Li],
Sang, N.[Nong],
MoLo: Motion-Augmented Long-Short Contrastive Learning for Few-Shot
Action Recognition,
CVPR23(18011-18021)
IEEE DOI
2309
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Broomé, S.[Sofia],
Pokropek, E.[Ernest],
Li, B.[Boyu],
Kjellström, H.[Hedvig],
Recur, Attend or Convolve? On Whether Temporal Modeling Matters for
Cross-Domain Robustness in Action Recognition,
WACV23(4188-4198)
IEEE DOI
2302
Visualization, Systematics, Shape, Tracking, Computational modeling,
Semantics
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Nag, S.[Sauradip],
Zhu, X.T.[Xia-Tian],
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Xiang, T.[Tao],
Zero-Shot Temporal Action Detection via Vision-Language Prompting,
ECCV22(III:681-697).
Springer DOI
2211
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Zheng, S.P.[Si-Peng],
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Jin, Q.[Qin],
Few-Shot Action Recognition with Hierarchical Matching and Contrastive
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ECCV22(IV:297-313).
Springer DOI
2211
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Patravali, J.[Jay],
Mittal, G.[Gaurav],
Yu, Y.[Ye],
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Chen, M.[Mei],
Unsupervised Few-Shot Action Recognition via Action-Appearance
Aligned Meta-Adaptation,
ICCV21(8464-8474)
IEEE DOI
2203
Training, Focusing, Benchmark testing, Task analysis,
Transfer/Low-shot/Semi/Unsupervised Learning, Action and behavior recognition
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Zhang, H.G.[Hong-Guang],
Zhang, L.[Li],
Qi, X.J.[Xiao-Juan],
Li, H.D.[Hong-Dong],
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Koniusz, P.[Piotr],
Few-shot Action Recognition with Permutation-invariant Attention,
ECCV20(V:525-542).
Springer DOI
2011
BibRef
Núñez-Marcos, A.[Adrián],
Azkune, G.[Gorka],
Agirre, E.[Eneko],
López-de-Ipiña, D.[Diego],
Arganda-Carreras, I.[Ignacio],
Using External Knowledge to Improve Zero-shot Action Recognition in
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ICIAR20(I:174-185).
Springer DOI
2007
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Bo, Y.,
Lu, Y.,
He, W.,
Few-Shot Learning of Video Action Recognition Only Based on Video
Contents,
WACV20(584-593)
IEEE DOI
2006
Training, Correlation, Supervised learning, Feature extraction,
Visualization, Recurrent neural networks
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Zhang, P.,
Cao, Y.,
Liu, B.,
Tream Single Shot Spatial-Temporal Action Detection,
ICIP19(3691-3695)
IEEE DOI
1910
Action Detection, spatial-temporal action localization,
3D convolutional neural networks, SSD
BibRef
Dwivedi, S.K.[Sai Kumar],
Gupta, V.[Vikram],
Mitra, R.,
Ahmed, S.,
Jain, A.,
ProtoGAN: Towards Few Shot Learning for Action Recognition,
MDALC19(1308-1316)
IEEE DOI
2004
image recognition, image representation,
learning (artificial intelligence), neural nets,
Action Recognition
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Safaei, M.[Marjaneh],
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Still Image Action Recognition by Predicting Spatial-Temporal Pixel
Evolution,
WACV19(111-120)
IEEE DOI
1904
BibRef
Earlier:
A Zero-Shot Architecture for Action Recognition in Still Images,
ICIP18(460-464)
IEEE DOI
1809
still image action recognition.
convolutional neural nets, image classification,
image motion analysis, image recognition, image representation,
Feature extraction.
Tensile stress, Prototypes, Image recognition,
Optical imaging, Matrix decomposition.
BibRef
Ke, Q.H.[Qiu-Hong],
Fritz, M.[Mario],
Schiele, B.[Bernt],
Future Moment Assessment for Action Query,
WACV21(3218-3227)
IEEE DOI
2106
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Time-Conditioned Action Anticipation in One Shot,
CVPR19(9917-9926).
IEEE DOI
2002
Uncertainty, Task analysis, Residual neural networks.
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Mandal, D.[Devraj],
Narayan, S.[Sanath],
Dwivedi, S.K.[Sai Kumar],
Gupta, V.[Vikram],
Ahmed, S.[Shuaib],
Khan, F.S.[Fahad Shahbaz],
Shao, L.[Ling],
Out-Of-Distribution Detection for Generalized Zero-Shot Action
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CVPR19(9977-9985).
IEEE DOI
2002
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Roitberg, A.[Alina],
Martinez, M.[Manuel],
Haurilet, M.[Monica],
Stiefelhagen, R.[Rainer],
Towards a Fair Evaluation of Zero-Shot Action Recognition Using
External Data,
VL18(IV:97-105).
Springer DOI
1905
Classify actions not previously seen during training.
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Yang, H.,
He, X.,
Porikli, F.M.[Fatih M.],
One-Shot Action Localization by Learning Sequence Matching Network,
CVPR18(1450-1459)
IEEE DOI
1812
Correlation, Proposals, Labeling, Encoding, Task analysis, Training
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Guo, M.[Michelle],
Chou, E.[Edward],
Huang, D.A.[De-An],
Song, S.[Shuran],
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Fei-Fei, L.[Li],
Neural Graph Matching Networks for Fewshot 3D Action Recognition,
ECCV18(I: 673-689).
Springer DOI
1810
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Mishra, A.[Ashish],
Verma, V.K.[Vinay Kumar],
Reddy, M.S.K.[M Shiva Krishna],
Arulkumar, S.,
Rai, P.[Piyush],
Mittal, A.[Anurag],
A Generative Approach to Zero-Shot and Few-Shot Action Recognition,
WACV18(372-380)
IEEE DOI
1806
image classification, image representation, probability, vectors,
HMDB51 benchmark datasets, Olympic benchmark datasets,
Visualization
BibRef
Zhang, Y.C.,
Li, Y.,
Rehg, J.M.[James M.],
First-Person Action Decomposition and Zero-Shot Learning,
WACV17(121-129)
IEEE DOI
1609
Adaptation models, Cameras, Feature extraction, Image recognition,
Training, Trajectory, Visualization
BibRef
Li, Y.K.[Yi-Kang],
Hu, S.H.[Sheng-Hung],
Li, B.X.[Bao-Xin],
Recognizing unseen actions in a domain-adapted embedding space,
ICIP16(4195-4199)
IEEE DOI
1610
Zero-shot learning.
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Wu, S.[Shuang],
Bondugula, S.[Sravanthi],
Luisier, F.[Florian],
Zhuang, X.D.[Xiao-Dan],
Natarajan, P.[Pradeep],
Zero-Shot Event Detection Using Multi-modal Fusion of Weakly
Supervised Concepts,
CVPR14(2665-2672)
IEEE DOI
1409
Concept Detection
BibRef
Guadarrama, S.[Sergio],
Krishnamoorthy, N.[Niveda],
Malkarnenkar, G.[Girish],
Venugopalan, S.[Subhashini],
Mooney, R.[Raymond],
Darrell, T.J.[Trevor J.],
Saenko, K.[Kate],
YouTube2Text: Recognizing and Describing Arbitrary Activities Using
Semantic Hierarchies and Zero-Shot Recognition,
ICCV13(2712-2719)
IEEE DOI
1403
Describing Activities in videos
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Human Action Recognition, Sparse Techniques, Low-Rank, SVM .