17.1.3.6.11 Zero-Shot, One-Shot, Few-Shot Learning for Human Action Recognition

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 Recognition,
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., Guo, L., Guan, W., Liu, A.A., Ren, T., Chen, S.,
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 Detection Using Few Exemplars,
PAMI(36), No. 9, September 2014, pp. 1789-1802.
IEEE DOI 1408
Detectors BibRef

Chang, X.J.[Xiao-Jun], Ma, Z.G.[Zhi-Gang], Yang, Y.[Yi], Zeng, Z.Q.[Zhi-Qiang], Hauptmann, A.G.[Alexander G.],
Bi-Level Semantic Representation Analysis for Multimedia Event Detection,
Cyber(47), No. 5, May 2017, pp. 1180-1197.
IEEE DOI 1704
Detectors BibRef

Zhang, L.L.[Ling-Ling], Chang, X.J.[Xiao-Jun], Liu, J.[Jun], Luo, M.N.[Min-Nan], Prakash, M.[Mahesh], Hauptmann, A.G.[Alexander G.],
Few-Shot Activity Recognition with Cross-Modal Memory Network,
PR(108), 2020, pp. 107348.
Elsevier DOI 2008
Few-shot learning, Activity recognition, Cross-modal memory BibRef

Lan, Z.Z.[Zhen-Zhong], Yang, Y.[Yi], Ballas, N.[Nicolas], Yu, S.I.[Shoou-I], Hauptmann, A.G.[Alexander G.],
Resource Constrained Multimedia Event Detection,
MMMod14(I: 388-399).
Springer DOI 1405
BibRef

Xu, Z.W.[Zhong-Wen], Yang, Y.[Yi], Hauptmann, A.G.[Alexander G.],
A discriminative CNN video representation for event detection,
CVPR15(1798-1807)
IEEE DOI 1510
BibRef

Fan, H., Chang, X.J.[Xiao-Jun], Cheng, D., Yang, Y.[Yi], Xu, D., Hauptmann, A.G.[Alexander G.],
Complex Event Detection by Identifying Reliable Shots from Untrimmed Videos,
ICCV17(736-744)
IEEE DOI 1802
feature extraction, image classification, learning (artificial intelligence), optimisation, Videos BibRef

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 BibRef

Wang, S.[Sen], Yang, Y.[Yi], Ma, Z.G.[Zhi-Gang], Li, X.[Xue], Pang, C.Y.[Chao-Yi], Hauptmann, A.G.[Alexander G.],
Action recognition by exploring data distribution and feature correlation,
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 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.[Yanwen],
Elastic temporal alignment for few-shot action recognition,
IET-CV(17), No. 1, 2023, pp. 39-50.
DOI Link 2303
BibRef

Wang, X.[Xiang], Zhang, S.W.[Shi-Wei], Qing, Z.W.[Zhi-Wu], Lv, Y.L.[Yi-Liang], Gao, C.X.[Chang-Xin], Sang, N.[Nong],
Cross-domain few-shot action recognition with unlabeled videos,
CVIU(233), 2023, pp. 103737.
Elsevier DOI 2307
Few-shot action recognition, Cross-domain, Self-supervised learning, Temporal modeling BibRef

Gao, J.J.[Jia-Jun], Hou, Y.H.[Yong-Hong], Guo, Z.[Zihui], 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.[Zihui], Yu, B.[Bin],
Learning Using Privileged Information for Zero-shot Action Recognition,
ACCV22(IV:347-362).
Springer DOI 2307
BibRef

Wang, X.[Xiao], Ye, W.R.[Wei-Rong], Qi, Z.A.[Zhong-Ang], Wang, G.G.[Guang-Ge], Wu, J.P.[Jian-Ping], Shan, Y.[Ying], Qie, X.[Xiaohu], Wang, H.Z.[Han-Zi],
Task-Aware Dual-Representation Network for Few-Shot Action Recognition,
CirSysVideo(33), No. 10, October 2023, pp. 5932-5946.
IEEE DOI 2310
BibRef

Wang, X.[Xiao], Yan, Y.[Yan], Hu, H.M.[Hai-Miao], Li, B.[Bo], Wang, H.Z.[Han-Zi],
Cross-Modal Contrastive Learning Network for Few-Shot Action Recognition,
IP(33), 2024, pp. 1257-1271.
IEEE DOI 2402
Self-supervised learning, Visualization, Semantics, Image recognition, Task analysis, Feature extraction, contrastive learning BibRef

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 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

Huang, Y.F.[Yi-Fei], Yang, L.[Lijin], Sato, Y.[Yoichi],
Compound Prototype Matching for Few-Shot Action Recognition,
ECCV22(IV:351-368).
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 .