Seo, H.J.[Hae Jong],
Milanfar, P.[Peyman],
Action Recognition from One Example,
PAMI(33), No. 1, January 2011, pp. 867-882.
IEEE DOI
1104
BibRef
Earlier:
Detection of human actions from a single example,
ICCV09(1965-1970).
IEEE DOI
0909
Single example as query to find others
BibRef
Tian, Y.[Yi],
Kong, Y.[Yu],
Ruan, Q.Q.[Qiu-Qi],
An, G.Y.[Gao-Yun],
Fu, Y.[Yun],
Aligned Dynamic-Preserving Embedding for Zero-Shot Action Recognition,
CirSysVideo(30), No. 6, June 2020, pp. 1597-1612.
IEEE DOI
2006
Semantics, Training, Video sequences, Prototypes, Testing,
Visualization, Object recognition, Zero-shot learning,
aligned dynamic-preserving embedding
BibRef
Zou, Y.,
Shi, Y.,
Shi, D.,
Wang, Y.,
Liang, Y.,
Tian, Y.,
Adaptation-Oriented Feature Projection for One-Shot Action
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MultMed(22), No. 12, December 2020, pp. 3166-3179.
IEEE DOI
2011
Training, Testing, Training data, Computational modeling,
Adaptation models, Task analysis, Image recognition,
fast adaptation
BibRef
Gao, Z.[Zan],
Guo, L.M.[Le-Ming],
Guan, W.L.[Wei-Li],
Liu, A.A.[An-An],
Ren, T.W.[Tong-Wei],
Chen, S.Y.[Sheng-Yong],
A Pairwise Attentive Adversarial Spatiotemporal Network for
Cross-Domain Few-Shot Action Recognition-R2,
IP(30), 2021, pp. 767-782.
IEEE DOI
2012
Spatiotemporal phenomena, Task analysis, Feature extraction,
few-shot
BibRef
Ma, Z.G.,
Yang, Y.,
Sebe, N.,
Hauptmann, A.G.[Alexander G.],
Knowledge Adaptation with Partially Shared Features for Event
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PAMI(36), No. 9, September 2014, pp. 1789-1802.
IEEE DOI
1408
Detectors
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
BibRef
Cao, C.Q.[Cong-Qi],
Li, Y.J.[Ya-Juan],
Lv, Q.Y.[Qin-Yi],
Wang, P.[Peng],
Zhang, Y.N.[Yan-Ning],
Few-shot action recognition with implicit temporal alignment and pair
similarity optimization,
CVIU(210), 2021, pp. 103250.
Elsevier DOI
2109
Few-shot action recognition, Temporal modeling,
Implicit alignment, Similarity optimization
BibRef
Estevam, V.[Valter],
Laroca, R.[Rayson],
Pedrini, H.[Helio],
Menotti, D.[David],
Global Semantic Descriptors for Zero-Shot Action Recognition,
SPLetters(29), 2022, pp. 1843-1847.
IEEE DOI
2209
Semantics, Computational modeling, Encoding, Observers, Estimation,
Training, Labeling, Zero-shot learning, sentence representation,
object recognition
BibRef
Liu, S.W.[Shu-Wen],
Jiang, M.[Min],
Kong, J.[Jun],
Multidimensional Prototype Refactor Enhanced Network for Few-Shot
Action Recognition,
CirSysVideo(32), No. 10, October 2022, pp. 6955-6966.
IEEE DOI
2210
Prototypes, Training, Feature extraction, Optimization,
Image recognition, Face recognition, Visualization, temporal modeling
BibRef
Zhang, L.L.[Ling-Ling],
Chang, X.J.[Xiao-Jun],
Liu, J.[Jun],
Luo, M.[Minnan],
Li, Z.H.[Zhi-Hui],
Yao, L.[Lina],
Hauptmann, A.G.[Alex G.],
TN-ZSTAD: Transferable Network for Zero-Shot Temporal Activity
Detection,
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
BibRef
Zhang, L.L.[Ling-Ling],
Chang, X.J.[Xiao-Jun],
Liu, J.[Jun],
Luo, M.[Minnan],
Wang, S.[Sen],
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
BibRef
Pan, F.[Fei],
Xu, C.L.[Chun-Lei],
Zhang, H.J.[Hong-Jie],
Guo, J.[Jie],
Guo, Y.W.[Yan-Wen],
Elastic temporal alignment for few-shot action recognition,
IET-CV(17), No. 1, 2023, pp. 39-50.
DOI Link
2303
BibRef
Gao, J.J.[Jia-Jun],
Hou, Y.H.[Yong-Hong],
Guo, Z.H.[Zi-Hui],
Zheng, H.C.[Hao-Chun],
Learning Spatio-Temporal Semantics and Cluster Relation for Zero-Shot
Action Recognition,
CirSysVideo(33), No. 11, November 2023, pp. 6519-6530.
IEEE DOI
2311
BibRef
Gao, Z.Y.[Zhi-Yi],
Hou, Y.H.[Yong-Hong],
Li, W.Q.[Wan-Qing],
Guo, Z.H.[Zi-Hui],
Yu, B.[Bin],
Learning Using Privileged Information for Zero-shot Action Recognition,
ACCV22(IV:347-362).
Springer DOI
2307
BibRef
Shi, Y.H.[Yu-Heng],
Wu, X.X.[Xin-Xiao],
Lin, H.X.[Han-Xi],
Luo, J.B.[Jie-Bo],
Commonsense Knowledge Prompting for Few-Shot Action Recognition in
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
BibRef
Huang, Y.F.[Yi-Fei],
Yang, L.J.[Li-Jin],
Chen, G.[Guo],
Zhang, H.J.[Hong-Jie],
Lu, F.[Feng],
Sato, Y.[Yoichi],
Matching Compound Prototypes for Few-Shot Action Recognition,
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
BibRef
Deng, L.[Long],
Li, A.[Ao],
Zhou, B.X.[Bing-Xin],
Ge, Y.X.[Yong-Xin],
Two-Stream Temporal Feature Aggregation Based on Clustering for
Few-Shot Action Recognition,
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
BibRef
Feng, Y.B.[Yang-Bo],
Gao, J.Y.[Jun-Yu],
Xu, C.S.[Chang-Sheng],
Spatiotemporal Orthogonal Projection Capsule Network for Incremental
Few-Shot Action Recognition,
MultMed(26), 2024, pp. 9825-9838.
IEEE DOI
2410
Task analysis, Videos, Prototypes, Adaptation models,
Spatiotemporal phenomena, Routing, Power capacitors,
class-incremental learning
BibRef
Gao, H.L.[Hai-Liang],
Xie, G.S.[Guo-Sen],
Yan, R.[Rui],
Cui, Q.J.[Qiong-Jie],
Qu, H.Y.[Hong-Yu],
Shu, X.B.[Xiang-Bo],
Hierarchical Motion-Enhanced Matching Framework for Few-Shot Action
Recognition,
MultMed(27), 2025, pp. 2450-2462.
IEEE DOI
2505
Motion segmentation, Videos, Dynamics, Few shot learning, Prototypes,
Transformers, Image recognition, Graph convolutional networks
BibRef
Xing, J.Z.[Jia-Zheng],
Zhao, J.[Jian],
Xu, C.[Chao],
Wang, M.M.[Meng-Meng],
Dai, G.[Guang],
Liu, Y.[Yong],
Wang, J.D.[Jing-Dong],
Li, X.L.[Xue-Long],
MA-FSAR: Multimodal Adaptation of CLIP for few-shot action
recognition,
PR(169), 2026, pp. 111902.
Elsevier DOI
2509
Few-shot action recognition, Large model application,
Parameter-efficient Fine-tuning, Multimodal learning
BibRef
Fang, P.F.[Peng-Fei],
Xu, Q.[Qiang],
Lin, Z.X.[Zi-Xuan],
Xue, H.[Hui],
On Modulating Motion-Aware Visual-Language Representation for
Few-Shot Action Recognition,
CirSysVideo(35), No. 9, September 2025, pp. 8614-8626.
IEEE DOI
2509
Visualization, Dynamics, Prototypes, Feature extraction, Modulation,
Training, Semantics, Performance gain, Optical flow,
motion modeling
BibRef
Chen, J.X.[Jia-Xin],
Peng, J.[Jiawen],
Lu, Y.Z.[Yan-Zuo],
Lai, J.H.[Jian-Huang],
Ma, A.J.[Andy J.],
Vision-Language Adaptive Clustering and Meta-Adaptation for
Unsupervised Few-Shot Action Recognition,
CirSysVideo(35), No. 9, September 2025, pp. 9246-9260.
IEEE DOI
2509
Adaptation models, Visualization, Training, Metalearning, Accuracy,
Representation learning, Transformers, Image recognition,
vision-language models
BibRef
Qu, H.Y.[Hong-Yu],
Yan, R.[Rui],
Shu, X.B.[Xiang-Bo],
Gao, H.L.[Hai-Liang],
Huang, P.[Peng],
Xie, G.S.[Guo-Sen],
MVP-Shot: Multi-Velocity Progressive-Alignment Framework for Few-Shot
Action Recognition,
MultMed(27), 2025, pp. 6593-6605.
IEEE DOI
2510
Videos, Semantics, Visualization, Training, Prototypes, Accuracy,
Transformers, Predictive models, Image recognition,
mutli-velocity feature matching
BibRef
Wanyan, Y.Y.[Yu-Yang],
Yang, X.S.[Xiao-Shan],
Dong, W.M.[Wei-Ming],
Xu, C.S.[Chang-Sheng],
A Comprehensive Review of Few-Shot Action Recognition,
IJCV(133), No. 10, October 2025, pp. 6832-6859.
Springer DOI
2511
Survey, Few-Shot Learning.
BibRef
Kumar, P.[Pulkit],
Padmanabhan, N.[Namitha],
Luo, L.[Luke],
Rambhatla, S.S.[Sai Saketh],
Shrivastava, A.[Abhinav],
Trajectory-aligned Space-time Tokens for Few-shot Action Recognition,
ECCV24(XXXVI: 474-493).
Springer DOI
2412
BibRef
Gowda, S.N.[Shreyank N.],
Arnab, A.[Anurag],
Huang, J.[Jonathan],
Optimizing Factorized Encoder Models: Time and Memory Reduction for
Scalable and Efficient Action Recognition,
ECCV24(X: 457-474).
Springer DOI
2412
BibRef
Gowda, S.N.[Shreyank N.],
Sevilla-Lara, L.[Laura],
Telling Stories for Common Sense Zero-shot Action Recognition,
ACCV24(III: 454-471).
Springer DOI
2412
BibRef
Doshi, K.[Keval],
Yilmaz, Y.[Yasin],
Zero-Shot Action Recognition with Transformer-based Video Semantic
Embedding,
L3D-IVU23(4859-4868)
IEEE DOI
2309
BibRef
Wanyan, Y.Y.[Yu-Yang],
Yang, X.S.[Xiao-Shan],
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
Wang, X.[Xiang],
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
BibRef
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
BibRef
Nag, S.[Sauradip],
Zhu, X.T.[Xia-Tian],
Song, Y.Z.[Yi-Zhe],
Xiang, T.[Tao],
Zero-Shot Temporal Action Detection via Vision-Language Prompting,
ECCV22(III:681-697).
Springer DOI
2211
BibRef
Zheng, S.P.[Si-Peng],
Chen, S.Z.[Shi-Zhe],
Jin, Q.[Qin],
Few-Shot Action Recognition with Hierarchical Matching and Contrastive
Learning,
ECCV22(IV:297-313).
Springer DOI
2211
BibRef
Patravali, J.[Jay],
Mittal, G.[Gaurav],
Yu, Y.[Ye],
Li, F.[Fuxin],
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
BibRef
Zhang, H.G.[Hong-Guang],
Zhang, L.[Li],
Qi, X.J.[Xiao-Juan],
Li, H.D.[Hong-Dong],
Torr, P.H.S.[Philip H. S.],
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
Egocentric Videos,
ICIAR20(I:174-185).
Springer DOI
2007
BibRef
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
BibRef
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
BibRef
Safaei, M.[Marjaneh],
Foroosh, H.[Hassan],
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
BibRef
And:
Time-Conditioned Action Anticipation in One Shot,
CVPR19(9917-9926).
IEEE DOI
2002
Uncertainty, Task analysis, Residual neural networks.
BibRef
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
Recognition,
CVPR19(9977-9985).
IEEE DOI
2002
BibRef
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.
BibRef
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
BibRef
Guo, M.[Michelle],
Chou, E.[Edward],
Huang, D.A.[De-An],
Song, S.[Shuran],
Yeung, S.[Serena],
Fei-Fei, L.[Li],
Neural Graph Matching Networks for Fewshot 3D Action Recognition,
ECCV18(I: 673-689).
Springer DOI
1810
BibRef
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.
BibRef
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 .