Jiang, Y.G.[Yu-Gang],
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Chang, S.F.[Shih-Fu],
Modeling Scene and Object Contexts for Human Action Retrieval With Few
Examples,
CirSysVideo(21), No. 5, May 2011, pp. 674-681.
IEEE DOI
1105
Context from the background scene. Based on 10 basic actions.
BibRef
Liu, Y.[Yuan],
Ma, L.[Lin],
Zhang, Y.F.[Yi-Feng],
Liu, W.[Wei],
Chang, S.F.[Shih-Fu],
Multi-Granularity Generator for Temporal Action Proposal,
CVPR19(3599-3608).
IEEE DOI
2002
BibRef
Shou, Z.[Zheng],
Gao, H.[Hang],
Zhang, L.[Lei],
Miyazawa, K.[Kazuyuki],
Chang, S.F.[Shih-Fu],
AutoLoc:
Weakly-Supervised Temporal Action Localization in Untrimmed Videos,
ECCV18(XVI: 162-179).
Springer DOI
1810
BibRef
Shou, Z.[Zheng],
Wang, D.A.[Dong-Ang],
Chang, S.F.[Shih-Fu],
Temporal Action Localization in Untrimmed Videos via Multi-stage CNNs,
CVPR16(1049-1058)
IEEE DOI
1612
BibRef
Shou, Z.[Zheng],
Chan, J.,
Zareian, A.,
Miyazawa, K.,
Chang, S.F.[Shih-Fu],
CDC: Convolutional-De-Convolutional Networks for Precise Temporal
Action Localization in Untrimmed Videos,
CVPR17(1417-1426)
IEEE DOI
1711
Convolution, Feature extraction, Kernel, Proposals, Semantics,
Videos
BibRef
Zeng, R.H.[Run-Hao],
Gan, C.[Chuang],
Chen, P.H.[Pei-Hao],
Huang, W.B.[Wen-Bing],
Wu, Q.Y.[Qing-Yao],
Tan, M.K.[Ming-Kui],
Breaking Winner-Takes-All: Iterative-Winners-Out Networks for Weakly
Supervised Temporal Action Localization,
IP(28), No. 12, December 2019, pp. 5797-5808.
IEEE DOI
1909
Videos, Training, Proposals, Image segmentation, Correlation,
Object detection, Semantics, Weakly supervised learning,
untrimmed video
BibRef
Kumar, N.,
Sukavanam, N.,
Weakly supervised deep network for spatiotemporal localization and
detection of human actions in wild conditions,
VC(36), No. 9, September 2020, pp. 1809-1821.
Springer DOI
2008
BibRef
Qin, X.L.[Xiao-Lei],
Ge, Y.X.[Yong-Xin],
Yu, H.[Hui],
Chen, F.Y.[Fei-Yu],
Yang, D.[Dan],
Spatial Enhancement and Temporal Constraint for Weakly Supervised
Action Localization,
SPLetters(27), 2020, pp. 1520-1524.
IEEE DOI
2009
Training, Proposals, Feature extraction, Entropy, Signal processing,
Signal processing algorithms, confidence connectivity enhancement
BibRef
Yu, J.R.[Jia-Ruo],
Ge, Y.X.[Yong-Xin],
Qin, X.L.[Xiao-Lei],
Li, Z.Q.[Zi-Qiang],
Huang, S.[Sheng],
Chen, F.Y.[Fei-Yu],
Deep feature enhancing and selecting network for weakly supervised
temporal action localization,
JVCIR(80), 2021, pp. 103276.
Elsevier DOI
2110
Weakly supervised, Temporal action localization, Deep learning
BibRef
Ge, Y.X.[Yong-Xin],
Qin, X.L.[Xiao-Lei],
Yang, D.[Dan],
Jagersand, M.[Martin],
Deep snippet selective network for weakly supervised temporal action
localization,
PR(110), 2021, pp. 107686.
Elsevier DOI
2011
Weak supervision, Temporal action localization,
Erasing branches, Ternary mask, Background suppression branch
BibRef
Zhang, S.W.[Shi-Wei],
Song, L.[Lin],
Gao, C.X.[Chang-Xin],
Sang, N.[Nong],
GLNet: Global Local Network for Weakly Supervised Action Localization,
MultMed(22), No. 10, October 2020, pp. 2610-2622.
IEEE DOI
2009
Annotations, Proposals, Predictive models, Task analysis,
Feature extraction, Electron tubes, Training, weakly supervised
BibRef
Zhang, X.Y.[Xiao-Yu],
Shi, H.C.[Hai-Chao],
Li, C.S.[Chang-Sheng],
Li, P.[Peng],
Li, Z.K.[Ze-Kun],
Ren, P.[Peng],
Weakly-supervised action localization via embedding-modeling
iterative optimization,
PR(113), 2021, pp. 107831.
Elsevier DOI
2103
Action recognition, Temporal action localization,
Attention mechanism, Generative adversarial networks, Subspace embedding
BibRef
Zhang, X.Y.[Xiao-Yu],
Shi, H.C.[Hai-Chao],
Li, C.S.[Chang-Sheng],
Shi, X.C.[Xin-Chu],
Action Shuffling for Weakly Supervised Temporal Localization,
IP(31), 2022, pp. 4447-4457.
IEEE DOI
2207
Feature extraction, Location awareness, Training, Task analysis,
Annotations, Semantics, Network architecture, intra-action
BibRef
Shi, H.C.[Hai-Chao],
Zhang, X.Y.[Xiao-Yu],
Li, C.S.[Chang-Sheng],
StochasticFormer: Stochastic Modeling for Weakly Supervised Temporal
Action Localization,
IP(32), 2023, pp. 1379-1389.
IEEE DOI
2303
Location awareness, Stochastic processes, Feature extraction,
Videos, Transformers, Training, Annotations, stochastic process
BibRef
Huang, L.J.[Lin-Jiang],
Huang, Y.[Yan],
Ouyang, W.L.[Wan-Li],
Wang, L.[Liang],
Modeling Sub-Actions for Weakly Supervised Temporal Action
Localization,
IP(30), 2021, pp. 5154-5167.
IEEE DOI
2106
Location awareness, Hidden Markov models, Proposals, Task analysis,
Prototypes, Annotations, Deep learning, Weakly supervised learning,
sub-action modeling
BibRef
Su, R.[Rui],
Xu, D.[Dong],
Zhou, L.P.[Lu-Ping],
Ouyang, W.L.[Wan-Li],
Improving Weakly Supervised Temporal Action Localization by
Exploiting Multi-Resolution Information in Temporal Domain,
IP(30), 2021, pp. 6659-6672.
IEEE DOI
2108
Videos, Location awareness, Task analysis, Feature extraction,
Reliability, Annotations,
two stream fusion
BibRef
Huang, L.J.[Lin-Jiang],
Wang, L.[Liang],
Li, H.S.[Hong-Sheng],
Multi-Modality Self-Distillation for Weakly Supervised Temporal
Action Localization,
IP(31), 2022, pp. 1504-1519.
IEEE DOI
2202
Location awareness, Reliability, Noise measurement, Annotations,
Training, Head, Task analysis, self-distillation
BibRef
Huang, L.J.[Lin-Jiang],
Huang, Y.[Yan],
Ouyang, W.L.[Wan-Li],
Wang, L.A.[Li-Ang],
Two-Branch Relational Prototypical Network for Weakly Supervised
Temporal Action Localization,
PAMI(44), No. 9, September 2022, pp. 5729-5746.
IEEE DOI
2208
Prototypes, Task analysis, Location awareness, Feature extraction,
Annotations, Computational modeling, Visualization,
multi-label clustering loss
BibRef
Huang, L.J.[Lin-Jiang],
Wang, L.[Liang],
Li, H.S.[Hong-Sheng],
Weakly Supervised Temporal Action Localization via Representative
Snippet Knowledge Propagation,
CVPR22(3262-3271)
IEEE DOI
2210
BibRef
Earlier:
Foreground-Action Consistency Network for Weakly Supervised Temporal
Action Localization,
ICCV21(7982-7991)
IEEE DOI
2203
Location awareness, Codes, Benchmark testing,
Video analysis and understanding, Action and event recognition.
Image annotation, Task analysis, Action and behavior recognition
BibRef
Zhai, Y.H.[Yuan-Hao],
Wang, L.[Le],
Tang, W.[Wei],
Zhang, Q.L.[Qi-Lin],
Zheng, N.N.[Nan-Ning],
Hua, G.[Gang],
Action Coherence Network for Weakly-Supervised Temporal Action
Localization,
MultMed(24), No. 2022, pp. 1857-1870.
IEEE DOI
2204
Proposals, Location awareness, Coherence, Feature extraction,
Training, Optical losses, Optical fiber networks, weakly-supervised learning
BibRef
Zhai, Y.H.[Yuan-Hao],
Wang, L.[Le],
Liu, Z.Y.[Zi-Yi],
Zhang, Q.L.[Qi-Lin],
Hua, G.[Gang],
Zheng, N.N.[Nan-Ning],
Action Coherence Network for Weakly Supervised Temporal Action
Localization,
ICIP19(3696-3700)
IEEE DOI
1910
weakly-supervised, temporal action lo-calization, coherence loss
BibRef
Pan, J.T.[Jun-Ting],
Chen, S.[Siyu],
Shou, M.Z.[Mike Zheng],
Liu, Y.[Yu],
Shao, J.[Jing],
Li, H.S.[Hong-Sheng],
Actor-Context-Actor Relation Network for Spatio-Temporal Action
Localization,
CVPR21(464-474)
IEEE DOI
2111
Location awareness, Visualization, Cognition,
Complexity theory, Task analysis
BibRef
Zou, Y.B.[Yuan-Bing],
Zhao, Q.J.[Qing-Jie],
Sarker, P.K.[Prodip Kumar],
Li, S.S.[Shan-Shan],
Wang, L.[Lei],
Liu, W.W.[Wang-Wang],
Diffusion-Based Framework for Weakly-Supervised Temporal Action
Localization,
PR(160), 2025, pp. 111207.
Elsevier DOI Code:
WWW Link.
2501
Temporal action localization, Weakly-supervised learning,
Diffusion, Mask learning
BibRef
Liu, Z.Y.[Zi-Yi],
Wang, L.[Le],
Zhang, Q.L.[Qi-Lin],
Gao, Z.N.[Zhan-Ning],
Niu, Z.X.[Zhen-Xing],
Zheng, N.N.[Nan-Ning],
Hua, G.[Gang],
Weakly Supervised Temporal Action Localization Through Contrast Based
Evaluation Networks 1,
ICCV19(3898-3907)
IEEE DOI
2004
image classification, video signal processing,
action proposal evaluator, Streaming media
BibRef
Zhao, Y.[Yibo],
Zhang, H.[Hua],
Gao, Z.[Zan],
Guan, W.[Weili],
Wang, M.[Meng],
Chen, S.Y.[Sheng-Yong],
A Snippets Relation and Hard-Snippets Mask Network for
Weakly-Supervised Temporal Action Localization,
CirSysVideo(34), No. 8, August 2024, pp. 7202-7215.
IEEE DOI
2408
Location awareness, Task analysis, Proposals,
Uncertainty, Prototypes, Multitasking,
snippet enhancement loss
BibRef
Zhao, Y.[Yibo],
Zhang, H.[Hua],
Gao, Z.[Zan],
Gao, W.J.[Wen-Jie],
Wang, M.[Meng],
Chen, S.Y.[Sheng-Yong],
A Novel Action Saliency and Context-Aware Network for
Weakly-Supervised Temporal Action Localization,
MultMed(25), 2023, pp. 8253-8266.
IEEE DOI
2312
BibRef
Zhao, Y.[Yibo],
Zhang, H.[Hua],
Gao, Z.[Zan],
Guan, W.[Weili],
Nie, J.[Jie],
Liu, A.[Anan],
Wang, M.[Meng],
Chen, S.Y.[Sheng-Yong],
A Temporal-Aware Relation and Attention Network for Temporal Action
Localization,
IP(31), 2022, pp. 4746-4760.
IEEE DOI
2208
Proposals, Feature extraction, Task analysis, Location awareness,
Network architecture, Convolution, Aggregates,
temporal action localization
BibRef
Liu, Z.Y.[Zi-Yi],
Wang, L.[Le],
Zhang, Q.L.[Qi-Lin],
Tang, W.[Wei],
Zheng, N.N.[Nan-Ning],
Hua, G.[Gang],
Weakly Supervised Temporal Action Localization Through Contrast Based
Evaluation Networks,
PAMI(44), No. 9, September 2022, pp. 5886-5902.
IEEE DOI
2208
Location awareness, Proposals, Videos, Task analysis,
Feature extraction, Training, Action localization,
temporal contrast
BibRef
Zhai, Y.H.[Yuan-Hao],
Wang, L.[Le],
Tang, W.[Wei],
Zhang, Q.L.[Qi-Lin],
Zheng, N.N.[Nan-Ning],
Doermann, D.[David],
Yuan, J.S.[Jun-Song],
Hua, G.[Gang],
Adaptive Two-Stream Consensus Network for Weakly-Supervised Temporal
Action Localization,
PAMI(45), No. 4, April 2023, pp. 4136-4151.
IEEE DOI
2303
Videos, Location awareness, Proposals, Adaptation models,
Uncertainty, Training, Optical flow, Temporal action localization,
weakly-supervised learning
BibRef
Zhai, Y.H.[Yuan-Hao],
Wang, L.[Le],
Tang, W.[Wei],
Zhang, Q.L.[Qi-Lin],
Yuan, J.S.[Jun-Song],
Hua, G.[Gang],
Two-Stream Consensus Network for Weakly-Supervised Temporal Action
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ECCV20(VI:37-54).
Springer DOI
2011
BibRef
Zhao, T.[Tao],
Han, J.W.[Jun-Wei],
Yang, L.[Le],
Wang, B.L.[Bing-Lu],
Zhang, D.W.[Ding-Wen],
SODA: Weakly Supervised Temporal Action Localization Based on Astute
Background Response and Self-Distillation Learning,
IJCV(129), No. 8, August 2021, pp. 2474-2498.
Springer DOI
2108
BibRef
Cao, M.[Meng],
Zhang, C.[Can],
Chen, L.[Long],
Shou, M.Z.[Mike Zheng],
Zou, Y.X.[Yue-Xian],
Deep Motion Prior for Weakly-Supervised Temporal Action Localization,
IP(31), 2022, pp. 5203-5213.
IEEE DOI
2208
Optical losses, Videos, Optical imaging, Location awareness,
Feature extraction, Adaptive optics, motion-guided loss
BibRef
Zhang, C.[Can],
Cao, M.[Meng],
Yang, D.M.[Dong-Ming],
Chen, J.[Jie],
Zou, Y.X.[Yue-Xian],
CoLA: Weakly-Supervised Temporal Action Localization with Snippet
Contrastive Learning,
CVPR21(16005-16014)
IEEE DOI
2111
Location awareness, Annotations,
Benchmark testing, Videos
BibRef
Zhang, C.[Can],
Cao, M.[Meng],
Yang, D.M.[Dong-Ming],
Jiang, J.[Ji],
Zou, Y.X.[Yue-Xian],
Synergic learning for noise-insensitive webly-supervised temporal
action localization,
IVC(113), 2021, pp. 104247.
Elsevier DOI
2108
Temporal action localization, Web supervision, Spatio-temporal representation
BibRef
Chen, G.[Guang],
Zhang, C.[Can],
Zou, Y.X.[Yue-Xian],
AFNet: Temporal Locality-Aware Network With Dual Structure for
Accurate and Fast Action Detection,
MultMed(23), 2021, pp. 2672-2682.
IEEE DOI
2109
Proposals, Feature extraction,
Task analysis, Training, Object detection, Convolution, AFNet
BibRef
Zhang, C.[Can],
Zou, Y.X.[Yue-Xian],
Chen, G.[Guang],
Gan, L.[Lei],
EAR: Efficient action recognition with local-global temporal
aggregation,
IVC(116), 2021, pp. 104329.
Elsevier DOI
2112
Efficient action recognition,
Local-global temporal aggregation, Motion representation,
Persistence of appearance
BibRef
Zhang, X.Y.[Xiao-Yu],
Zhang, Y.[Yaru],
Shi, H.C.[Hai-Chao],
Dong, J.[Jing],
SAPS: Self-Attentive Pathway Search for weakly-supervised action
localization with background-action augmentation,
CVIU(210), 2021, pp. 103256.
Elsevier DOI
2109
Video understanding, Action localization,
Representation learning, Neural architecture search, Background modeling
BibRef
Li, G.Z.[Guo-Zhang],
Li, J.[Jie],
Wang, N.N.[Nan-Nan],
Ding, X.P.[Xin-Peng],
Li, Z.F.[Zhi-Feng],
Gao, X.B.[Xin-Bo],
Multi-Hierarchical Category Supervision for Weakly-Supervised
Temporal Action Localization,
IP(30), 2021, pp. 9332-9344.
IEEE DOI
2112
Videos, Location awareness, Training, Feature extraction, Bars,
Proposals, Measurement, Weak supervision,
multi-hierarchical categories
BibRef
Li, G.Z.[Guo-Zhang],
Cheng, D.[De],
Ding, X.P.[Xin-Peng],
Wang, N.N.[Nan-Nan],
Wang, X.Y.[Xiao-Yu],
Gao, X.B.[Xin-Bo],
Boosting Weakly-Supervised Temporal Action Localization with Text
Information,
CVPR23(10648-10657)
IEEE DOI
2309
BibRef
Wang, B.L.[Bing-Lu],
Zhang, X.[Xun],
Zhao, Y.Q.[Yong-Qiang],
Exploring Sub-Action Granularity for Weakly Supervised Temporal
Action Localization,
CirSysVideo(32), No. 4, April 2022, pp. 2186-2198.
IEEE DOI
2204
Location awareness, Proposals, Task analysis, Aggregates, Training,
Prediction algorithms, Marine vehicles, sub-action granularity
BibRef
Ma, F.[Fan],
Zhu, L.C.[Lin-Chao],
Yang, Y.[Yi],
Weakly Supervised Moment Localization with Decoupled Consistent Concept
Prediction,
IJCV(130), No. 5, May 2022, pp. 1244-1258.
Springer DOI
2205
BibRef
Ma, F.[Fan],
Zhu, L.C.[Lin-Chao],
Yang, Y.[Yi],
Zha, S.X.[Sheng-Xin],
Kundu, G.[Gourab],
Feiszli, M.[Matt],
Shou, Z.[Zheng],
SF-net: Single-frame Supervision for Temporal Action Localization,
ECCV20(IV:420-437).
Springer DOI
2011
BibRef
Cheng, Y.[Yi],
Sun, Y.[Ying],
Fan, H.[Hehe],
Zhuo, T.[Tao],
Lim, J.H.[Joo-Hwee],
Kankanhalli, M.[Mohan],
Entropy guided attention network for weakly-supervised action
localization,
PR(129), 2022, pp. 108718.
Elsevier DOI
2206
Temporal action localization, Weakly-supervised learning,
Entropy guided loss, Global similarity loss
BibRef
Souri, Y.[Yaser],
Fayyaz, M.[Mohsen],
Minciullo, L.[Luca],
Francesca, G.[Gianpiero],
Gall, J.[Juergen],
Fast Weakly Supervised Action Segmentation Using Mutual Consistency,
PAMI(44), No. 10, October 2022, pp. 6196-6208.
IEEE DOI
2209
Training, Viterbi algorithm, Streaming media,
Artificial neural networks, Task analysis, Predictive models,
weakly supervised learning
BibRef
Wang, Q.Y.[Qing-Yun],
Song, Y.[Yan],
Zou, R.[Rong],
Shu, X.B.[Xiang-Bo],
Progressive enhancement network with pseudo labels for weakly
supervised temporal action localization,
JVCIR(87), 2022, pp. 103590.
Elsevier DOI
2208
Temporal action localization, Weak supervision, Pseudo label,
Video understanding
BibRef
Yudistira, N.[Novanto],
Kavitha, M.S.[Muthu Subash],
Kurita, T.[Takio],
Weakly-Supervised Action Localization, and Action Recognition Using
Global-Local Attention of 3D CNN,
IJCV(130), No. 10, October 2022, pp. 2349-2363.
Springer DOI
2209
BibRef
Han, T.T.[Ting-Ting],
Wang, K.[Kai],
Yu, J.[Jun],
Fan, J.P.[Jian-Ping],
Weakly supervised moment localization with natural language based on
semantic reconstruction,
IVC(126), 2022, pp. 104532.
Elsevier DOI
2209
Cross-modal moment localization,
Weakly supervised temporal grounding, Semantic reconstruction
BibRef
Yang, L.[Le],
Han, J.W.[Jun-Wei],
Zhao, T.[Tao],
Lin, T.W.[Tian-Wei],
Zhang, D.W.[Ding-Wen],
Chen, J.X.[Jian-Xin],
Background-Click Supervision for Temporal Action Localization,
PAMI(44), No. 12, December 2022, pp. 9814-9829.
IEEE DOI
2212
Location awareness, Annotations, Proposals, Task analysis, Costs,
Hidden Markov models, Supervised learning,
weakly supervised learning
BibRef
Fu, J.[Jie],
Gao, J.Y.[Jun-Yu],
Xu, C.S.[Chang-Sheng],
Compact Representation and Reliable Classification Learning for
Point-Level Weakly-Supervised Action Localization,
IP(31), 2022, pp. 7363-7377.
IEEE DOI
2212
Training, Prototypes, Reliability, Representation learning,
Annotations, Task analysis, Probabilistic logic,
point-level weakly-supervised action localization
BibRef
Fu, J.[Jie],
Gao, J.Y.[Jun-Yu],
Xu, C.S.[Chang-Sheng],
Semantic and Temporal Contextual Correlation Learning for
Weakly-Supervised Temporal Action Localization,
PAMI(45), No. 10, October 2023, pp. 12427-12443.
IEEE DOI
2310
BibRef
Shao, Y.X.[Yu-Xiang],
Zhang, F.F.[Fei-Fei],
Xu, C.S.[Chang-Sheng],
Text-Video Knowledge Guided Prompting for Weakly Supervised Temporal
Action Localization,
CirSysVideo(35), No. 5, May 2025, pp. 4184-4197.
IEEE DOI
2505
Semantics, Visualization, Location awareness,
Knowledge based systems, Annotations,
external knowledge
BibRef
Chen, M.Y.[Meng-Yuan],
Gao, J.Y.[Jun-Yu],
Xu, C.S.[Chang-Sheng],
Uncertainty-Aware Dual-Evidential Learning for Weakly-Supervised
Temporal Action Localization,
PAMI(45), No. 12, December 2023, pp. 15896-15911.
IEEE DOI
2311
BibRef
Earlier:
Cascade Evidential Learning for Open-world Weakly-supervised Temporal
Action Localization,
CVPR23(14741-14750)
IEEE DOI
2309
BibRef
Hu, Y.F.[Yu-Fan],
Fu, J.[Jie],
Chen, M.Y.[Meng-Yuan],
Gao, J.Y.[Jun-Yu],
Dong, J.F.[Jian-Feng],
Fan, B.[Bin],
Liu, H.M.[Hong-Min],
Learning Proposal-Aware Re-Ranking for Weakly-Supervised Temporal
Action Localization,
CirSysVideo(34), No. 1, January 2024, pp. 207-220.
IEEE DOI
2401
BibRef
Gao, J.Y.[Jun-Yu],
Chen, M.Y.[Meng-Yuan],
Xu, C.S.[Chang-Sheng],
Vectorized Evidential Learning for Weakly-Supervised Temporal Action
Localization,
PAMI(45), No. 12, December 2023, pp. 15949-15963.
IEEE DOI
2311
BibRef
Chen, M.Y.[Meng-Yuan],
Gao, J.Y.[Jun-Yu],
Yang, S.C.[Shi-Cai],
Xu, C.S.[Chang-Sheng],
Dual-Evidential Learning for Weakly-supervised Temporal Action
Localization,
ECCV22(IV:192-208).
Springer DOI
2211
BibRef
Gao, J.Y.[Jun-Yu],
Chen, M.Y.[Meng-Yuan],
Xu, C.S.[Chang-Sheng],
Fine-grained Temporal Contrastive Learning for Weakly-supervised
Temporal Action Localization,
CVPR22(19967-19977)
IEEE DOI
2210
Location awareness, Training, Codes, Video sequences,
Benchmark testing,
Video analysis and understanding
BibRef
Sun, W.Q.[Wei-Qi],
Su, R.[Rui],
Yu, Q.[Qian],
Xu, D.[Dong],
Slow Motion Matters: A Slow Motion Enhanced Network for Weakly
Supervised Temporal Action Localization,
CirSysVideo(33), No. 1, January 2023, pp. 354-366.
IEEE DOI
2301
Videos, Location awareness, Task analysis, Motion segmentation,
Feature extraction, Training, Sports, Weakly-supervised learning,
slow motion
BibRef
Zhang, D.W.[Ding-Wen],
Equivalent Classification Mapping for Weakly Supervised Temporal
Action Localization,
PAMI(45), No. 3, March 2023, pp. 3019-3031.
IEEE DOI
2302
Pipelines, Location awareness, Aggregates, Training, Streaming media,
Context modeling, Annotations, Equivalent mechanism,
temporal action localization
BibRef
Yang, W.F.[Wen-Fei],
Zhang, T.Z.[Tian-Zhu],
Zhang, Y.D.[Yong-Dong],
Wu, F.[Feng],
Uncertainty Guided Collaborative Training for Weakly Supervised and
Unsupervised Temporal Action Localization,
PAMI(45), No. 4, April 2023, pp. 5252-5267.
IEEE DOI
2303
Training, Uncertainty, Location awareness, Testing, Task analysis,
Proposals, Noise measurement, Weakly supervised, unsupervised,
collaborative training
BibRef
Wang, C.[Chuanxu],
Wang, J.[Jing],
Liu, P.[Peng],
Complementary adversarial mechanisms for weakly-supervised temporal
action localization,
PR(139), 2023, pp. 109426.
Elsevier DOI
2304
Temporal action localization, Boundary regression,
Complementary adversarial mechanism, Action recognition
BibRef
Chen, Z.Y.[Zheng-Yan],
Liu, H.[Hong],
Zhang, L.L.[Lin-Lin],
Liao, X.[Xin],
Multi-Dimensional Attention With Similarity Constraint for
Weakly-Supervised Temporal Action Localization,
MultMed(25), 2023, pp. 4349-4360.
IEEE DOI
2310
BibRef
Wang, Y.X.[Yun-Xiao],
Liu, M.[Meng],
Wei, Y.W.[Yin-Wei],
Cheng, Z.Y.[Zhi-Yong],
Wang, Y.L.[Ying-Long],
Nie, L.Q.[Li-Qiang],
Siamese Alignment Network for Weakly Supervised Video Moment
Retrieval,
MultMed(25), 2023, pp. 3921-3933.
IEEE DOI
2310
BibRef
Ju, C.[Chen],
Zhao, P.[Peisen],
Chen, S.[Siheng],
Zhang, Y.[Ya],
Zhang, X.Y.[Xiao-Yun],
Wang, Y.F.[Yan-Feng],
Tian, Q.[Qi],
Adaptive Mutual Supervision for Weakly-Supervised Temporal Action
Localization,
MultMed(25), 2023, pp. 6688-6701.
IEEE DOI
2311
BibRef
Moniruzzaman, M.,
Yin, Z.Z.[Zhao-Zheng],
Collaborative Foreground, Background, and Action Modeling Network for
Weakly Supervised Temporal Action Localization,
CirSysVideo(33), No. 11, November 2023, pp. 6939-6951.
IEEE DOI
2311
BibRef
Moniruzzaman, M.[Md],
Yin, Z.Z.[Zhao-Zheng],
Feature Weakening, Contextualization, and Discrimination for Weakly
Supervised Temporal Action Localization,
MultMed(26), 2024, pp. 270-283.
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, B.L.[Bing-Lu],
Zhao, Y.Q.[Yong-Qiang],
Yang, L.[Le],
Long, T.[Teng],
Li, X.L.[Xue-Long],
Temporal Action Localization in the Deep Learning Era: A Survey,
PAMI(46), No. 4, April 2024, pp. 2171-2190.
IEEE DOI
2403
Survey, Action Localization. Location awareness, Videos, Surveys, Task analysis, Prediction algorithms,
Training, Supervised learning, weakly supervised learning
BibRef
Wang, C.X.[Chuan-Xu],
Wang, J.[Jing],
Xu, W.T.[Wen-Ting],
Double branch synergies with modal reinforcement for weakly
supervised temporal action detection,
JVCIR(99), 2024, pp. 104090.
Elsevier DOI
2403
Multi-branch synergies, Temporal action localization,
Modal reinforcement, Weakly supervising learning
BibRef
Jiang, Y.Y.[Yuan-Yuan],
Yin, J.Q.[Jian-Qin],
Dang, Y.H.[Yong-Hao],
Leveraging the Video-Level Semantic Consistency of Event for
Audio-Visual Event Localization,
MultMed(26), 2024, pp. 4617-4627.
IEEE DOI
2403
Semantics, Dogs, Visualization, Location awareness,
Feature extraction, Task analysis, Encoding, Audio-visual learning,
weakly-supervised learning
BibRef
Shao, Y.X.[Yu-Xiang],
Zhang, F.F.[Fei-Fei],
Xu, C.S.[Chang-Sheng],
Snippet-to-Prototype Contrastive Consensus Network for Weakly
Supervised Temporal Action Localization,
MultMed(26), 2024, pp. 6717-6729.
IEEE DOI
2404
Location awareness, Prototypes, Semantics, Task analysis, Videos,
Self-supervised learning, Annotations, Contrastive learning,
weakly-supervised temporal action localization
BibRef
Zhang, T.Y.[Tian-Yi],
Li, R.[Ronglu],
Feng, P.M.[Peng-Ming],
Zhang, R.[Rubo],
Integration of Global and Local Knowledge for Foreground Enhancing in
Weakly Supervised Temporal Action Localization,
MultMed(26), 2024, pp. 8476-8487.
IEEE DOI
2408
Location awareness, Task analysis, Pipelines, Annotations, Training,
Convolution, Feature extraction, Weakly supervised learning,
video content analysis
BibRef
Wang, Y.[Yu],
Zhao, S.J.[Sheng-Jie],
Chen, S.W.[Shi-Wei],
Action-Semantic Consistent Knowledge for Weakly-Supervised Action
Localization,
MultMed(26), 2024, pp. 10279-10289.
IEEE DOI
2410
Videos, Feature extraction, Location awareness, Semantics,
Annotations, Task analysis, Proposals,
action-semantic consistency
BibRef
Du, J.R.[Jia-Run],
Feng, J.C.[Jia-Chang],
Lin, K.Y.[Kun-Yu],
Hong, F.T.[Fa-Ting],
Qi, Z.A.[Zhong-Ang],
Shan, Y.[Ying],
Hu, J.F.[Jian-Fang],
Zheng, W.S.[Wei-Shi],
Weakly-Supervised Temporal Action Localization by Progressive
Complementary Learning,
CirSysVideo(35), No. 1, January 2025, pp. 938-952.
IEEE DOI
2502
Location awareness, Proposals, Annotations,
Training, Noise, Weakly-supervised learning,
progressive complementary learning
BibRef
Yang, W.F.[Wen-Fei],
Zhang, T.Z.[Tian-Zhu],
Zhang, Y.D.[Yong-Dong],
Wu, F.[Feng],
Local Correspondence Network for Weakly Supervised Temporal Sentence
Grounding,
IP(30), 2021, pp. 3252-3262.
IEEE DOI
2103
Grounding, Annotations, Training,
Feature extraction, Computational modeling, Task analysis,
temporal sentence grounding
BibRef
Luo, W.[Wang],
Zhang, T.Z.[Tian-Zhu],
Yang, W.F.[Wen-Fei],
Liu, J.G.[Jin-Gen],
Mei, T.[Tao],
Wu, F.[Feng],
Zhang, Y.D.[Yong-Dong],
Action Unit Memory Network for Weakly Supervised Temporal Action
Localization,
CVPR21(9964-9974)
IEEE DOI
2111
Location awareness, Training, Knowledge engineering,
Motion segmentation, Refining, Interference, Benchmark testing
BibRef
Luo, W.[Wang],
Ren, H.[Huan],
Zhang, T.Z.[Tian-Zhu],
Yang, W.F.[Wen-Fei],
Zhang, Y.D.[Yong-Dong],
Adaptive Prototype Learning for Weakly-Supervised Temporal Action
Localization,
IP(34), 2025, pp. 3154-3168.
IEEE DOI
2506
Location awareness, Prototypes, Videos, Transformers, Training,
Adaptive systems, Interference, Collaborative training, adaptive,
temporal action localization
BibRef
Ren, H.[Huan],
Yang, W.F.[Wen-Fei],
Zhang, T.Z.[Tian-Zhu],
Zhang, Y.D.[Yong-Dong],
Proposal-Based Multiple Instance Learning for Weakly-Supervised
Temporal Action Localization,
CVPR23(2394-2404)
IEEE DOI
2309
BibRef
Hu, X.[Xin],
Li, K.[Kai],
Patel, D.[Deep],
Kruus, E.[Erik],
Min, M.R.[Martin Renqiang],
Ding, Z.M.[Zheng-Ming],
Weakly-Supervised Temporal Action Localization with Multi-Modal
Plateau Transformers,
L3D-IVU24(2704-2713)
IEEE DOI
2410
Location awareness, Annotations, Coherence, Benchmark testing,
Predictive models, Transformers
BibRef
Wang, G.Q.[Gui-Qin],
Zhao, P.[Peng],
Zhao, C.[Cong],
Yang, S.[Shusen],
Cheng, J.[Jie],
Leng, L.[Luziwei],
Liao, J.X.[Jian-Xing],
Guo, Q.H.[Qing-Hai],
Weakly-Supervised Action Localization by Hierarchically-structured
Latent Attention Modeling,
ICCV23(10169-10179)
IEEE DOI
2401
BibRef
Liu, Q.Y.[Qin-Ying],
Wang, Z.[Zilei],
Rong, S.H.[Sheng-Hai],
Li, J.J.[Jun-Jie],
Zhang, Y.X.[Yi-Xin],
Revisiting Foreground and Background Separation in Weakly-supervised
Temporal Action Localization: A Clustering-based Approach,
ICCV23(10399-10409)
IEEE DOI Code:
WWW Link.
2401
BibRef
Tang, X.J.[Xiao-Jun],
Fan, J.S.[Jun-Song],
Luo, C.C.[Chuan-Chen],
Zhang, Z.X.[Zhao-Xiang],
Zhang, M.[Man],
Yang, Z.Y.[Zong-Yuan],
DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised
Temporal Action Localization,
ICCV23(6599-6609)
IEEE DOI Code:
WWW Link.
2401
BibRef
Wang, Y.[Yu],
Li, Y.D.[Ya-Dong],
Wang, H.B.[Hong-Bin],
Two-Stream Networks for Weakly-Supervised Temporal Action
Localization with Semantic-Aware Mechanisms,
CVPR23(18878-18887)
IEEE DOI
2309
BibRef
Ju, C.[Chen],
Zheng, K.[Kunhao],
Liu, J.X.[Jin-Xiang],
Zhao, P.[Peisen],
Zhang, Y.[Ya],
Chang, J.L.[Jian-Long],
Tian, Q.[Qi],
Wang, Y.F.[Yan-Feng],
Distilling Vision-Language Pre-Training to Collaborate with
Weakly-Supervised Temporal Action Localization,
CVPR23(14751-14762)
IEEE DOI
2309
BibRef
Rizve, M.N.[Mamshad Nayeem],
Mittal, G.[Gaurav],
Yu, Y.[Ye],
Hall, M.[Matthew],
Sajeev, S.[Sandra],
Shah, M.[Mubarak],
Chen, M.[Mei],
PivoTAL: Prior-Driven Supervision for Weakly-Supervised Temporal
Action Localization,
CVPR23(22992-23002)
IEEE DOI
2309
BibRef
Zhou, J.Q.[Jing-Qiu],
Huang, L.J.[Lin-Jiang],
Wang, L.[Liang],
Liu, S.[Si],
Li, H.S.[Hong-Sheng],
Improving Weakly Supervised Temporal Action Localization by Bridging
Train-Test Gap in Pseudo Labels,
CVPR23(23003-23012)
IEEE DOI
2309
BibRef
Ren, H.R.[Hao-Ran],
Ren, H.[Hao],
Lu, H.[Hong],
Jin, C.[Cheng],
Weakly-Supervised Temporal Action Localization with Regional Similarity
Consistency,
MMMod23(I: 69-81).
Springer DOI
2304
BibRef
Zhou, J.X.[Jian-Xiong],
Wu, Y.[Ying],
Temporal Feature Enhancement Dilated Convolution Network for
Weakly-supervised Temporal Action Localization,
WACV23(6017-6026)
IEEE DOI
2302
Location awareness, Convolution, Feature extraction, Task analysis,
Optical flow, Videos
BibRef
Li, J.J.[Jing-Jing],
Yang, T.Y.[Tian-Yu],
Ji, W.[Wei],
Wang, J.[Jue],
Cheng, L.[Li],
Exploring Denoised Cross-video Contrast for Weakly-supervised
Temporal Action Localization,
CVPR22(19882-19892)
IEEE DOI
2210
Location awareness, Representation learning, Noise reduction,
Pipelines, Memory management, retrieval
BibRef
He, B.[Bo],
Yang, X.T.[Xi-Tong],
Kang, L.[Le],
Cheng, Z.Y.[Zhi-Yu],
Zhou, X.[Xin],
Shrivastava, A.[Abhinav],
ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal
Action Localization,
CVPR22(13915-13925)
IEEE DOI
2210
Training, Location awareness, Computational modeling, Pipelines,
Predictive models, retrieval
BibRef
Narayan, S.[Sanath],
Cholakkal, H.[Hisham],
Hayat, M.[Munawar],
Khan, F.S.[Fahad Shahbaz],
Yang, M.H.[Ming-Hsuan],
Shao, L.[Ling],
D2-Net: Weakly-Supervised Action Localization via Discriminative
Embeddings and Denoised Activations,
ICCV21(13588-13597)
IEEE DOI
2203
Location awareness, Codes, Noise reduction, Benchmark testing,
Robustness, Mutual information, Action and behavior recognition,
Recognition and classification
BibRef
Lee, P.[Pilhyeon],
Byun, H.R.[Hye-Ran],
Learning Action Completeness from Points for Weakly-supervised
Temporal Action Localization,
ICCV21(13628-13637)
IEEE DOI
2203
Location awareness, Training, Greedy algorithms, Costs, Codes,
Annotations, Action and behavior recognition,
BibRef
Lee, J.T.[Jun-Tae],
Yun, S.[Sungrack],
Jain, M.[Mihir],
Leaky Gated Cross-Attention for Weakly Supervised Multi-Modal
Temporal Action Localization,
WACV22(817-826)
IEEE DOI
2202
Location awareness, Logic gates,
Benchmark testing, Multimedia Applications
BibRef
Cheng, Y.[Yi],
Sun, Y.[Ying],
Lin, D.Y.[Dong-Yun],
Lim, J.H.[Joo-Hwee],
Action Relational Graph for Weakly-Supervised Temporal Action
Localization,
ICIP21(2563-2567)
IEEE DOI
2201
Location awareness, Correlation, Image processing, Task analysis,
Videos, Weakly-supervised temporal action localization, Untrimmed video
BibRef
Ma, J.W.[Jun-Wei],
Gorti, S.K.[Satya Krishna],
Volkovs, M.[Maksims],
Yu, G.W.[Guang-Wei],
Weakly Supervised Action Selection Learning in Video,
CVPR21(7583-7592)
IEEE DOI
2111
Location awareness, Codes, Annotations,
Predictive models, Benchmark testing
BibRef
Tan, R.[Reuben],
Xu, H.J.[Hui-Juan],
Saenko, K.[Kate],
Plummer, B.A.[Bryan A.],
LoGAN: Latent Graph Co-Attention Network for Weakly-Supervised Video
Moment Retrieval,
WACV21(2082-2091)
IEEE DOI
2106
Training, Location awareness, Annotations,
Semantics, Natural languages
BibRef
Pardo, A.[Alejandro],
Alwassel, H.[Humam],
Heilbron, F.C.[Fabian Caba],
Thabet, A.[Ali],
Ghanem, B.[Bernard],
RefineLoc: Iterative Refinement for Weakly-Supervised Action
Localization,
WACV21(3318-3327)
IEEE DOI
2106
Location awareness, Training,
Detectors, Generators, Iterative methods
BibRef
Min, K.[Kyle],
Corso, J.J.[Jason J.],
Adversarial Background-aware Loss for Weakly-supervised Temporal
Activity Localization,
ECCV20(XIV:283-299).
Springer DOI
2011
BibRef
Yoon, S.[Sunjae],
Koo, G.[Gwanhyeong],
Kim, D.[Dahyun],
Yoo, C.D.[Chang D.],
SCANet: Scene Complexity Aware Network for Weakly-Supervised Video
Moment Retrieval,
ICCV23(13530-13540)
IEEE DOI
2401
BibRef
Yoon, S.[Sunjae],
Hong, J.W.[Ji Woo],
Yoon, E.[Eunseop],
Kim, D.[Dahyun],
Kim, J.Y.[Jun-Yeong],
Yoon, H.S.[Hee Suk],
Yoo, C.D.[Chang D.],
Selective Query-Guided Debiasing for Video Corpus Moment Retrieval,
ECCV22(XXXVI:185-200).
Springer DOI
2211
BibRef
Yoon, S.[Sunjae],
Kim, D.[Dahyun],
Hong, J.W.[Ji Woo],
Kim, J.Y.[Jun-Yeong],
Kim, K.[Kookhoi],
Yoo, C.D.[Chang D.],
Weakly-Supervised Moment Retrieval Network for Video Corpus Moment
Retrieval,
ICIP21(534-538)
IEEE DOI
2201
Training, Image processing, Natural languages, Benchmark testing,
Proposals, Multi-modal video corpus moment retrieval, Weakly-supervised learning
BibRef
Ma, M.[Minuk],
Yoon, S.[Sunjae],
Kim, J.Y.[Jun-Yeong],
Lee, Y.J.[Young-Joon],
Kang, S.H.[Sung-Hun],
Yoo, C.D.[Chang D.],
VLANet: Video-language Alignment Network for Weakly-supervised Video
Moment Retrieval,
ECCV20(XXVIII:156-171).
Springer DOI
2011
Localize the temporal moment in untrimmed video specified by natural
language query.
BibRef
Luo, Z.K.[Zhe-Kun],
Guillory, D.[Devin],
Shi, B.F.[Bai-Feng],
Ke, W.[Wei],
Wan, F.[Fang],
Darrell, T.J.[Trevor J.],
Xu, H.J.[Hui-Juan],
Weakly-supervised Action Localization with Expectation-maximization
Multi-instance Learning,
ECCV20(XXIX: 729-745).
Springer DOI
2010
See also C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection.
See also Discrepant Multiple Instance Learning for Weakly Supervised Object Detection.
BibRef
Biswas, S.[Sovan],
Gall, J.[Juergen],
Multiple Instance Triplet Loss for Weakly Supervised Multi-Label
Action Localisation of Interacting Persons,
DYAD21(2159-2167)
IEEE DOI
2112
Training, Costs, Annotations, Task analysis, Videos
BibRef
Shi, B.F.[Bai-Feng],
Dai, Q.[Qi],
Mu, Y.D.[Ya-Dong],
Wang, J.D.[Jing-Dong],
Weakly-Supervised Action Localization by Generative Attention
Modeling,
CVPR20(1006-1016)
IEEE DOI
2008
Feature extraction, Task analysis, Context modeling, Training,
Pipelines, Graphical models
BibRef
Islam, A.,
Radke, R.J.,
Weakly Supervised Temporal Action Localization Using Deep Metric
Learning,
WACV20(536-545)
IEEE DOI
2006
Feature extraction, Measurement, Training, Task analysis,
Machine learning, Feeds, Face
BibRef
Rashid, M.,
Kjellström, H.,
Lee, Y.J.,
Action Graphs: Weakly-supervised Action Localization with Graph
Convolution Networks,
WACV20(604-613)
IEEE DOI
2006
Convolution, Training, Feature extraction, Testing,
Motion segmentation, Predictive models
BibRef
Miki, D.[Daisuke],
Chen, S.[Shi],
Demachi, K.[Kazuyuki],
Weakly Supervised Graph Convolutional Neural Network for Human Action
Localization,
WACV20(642-650)
IEEE DOI
2006
Feature extraction, Time series analysis, Training, Convolution,
Machine learning, Skeleton, Supervised learning
BibRef
Narayan, S.,
Cholakkal, H.,
Khan, F.S.,
Shao, L.,
3C-Net: Category Count and Center Loss for Weakly-Supervised Action
Localization,
ICCV19(8678-8686)
IEEE DOI
2004
Code, Counting.
WWW Link. feature extraction, image classification,
image sequences, video signal processing, Motion pictures
BibRef
Nguyen, P.,
Ramanan, D.,
Fowlkes, C.,
Weakly-Supervised Action Localization With Background Modeling,
ICCV19(5501-5510)
IEEE DOI
2004
image motion analysis, image sequences,
learning (artificial intelligence), multimedia Web sites, Training data
BibRef
Liu, D.C.[Dao-Chang],
Jiang, T.T.[Ting-Ting],
Wang, Y.Z.[Yi-Zhou],
Completeness Modeling and Context Separation for Weakly Supervised
Temporal Action Localization,
CVPR19(1298-1307).
IEEE DOI
2002
BibRef
Nguyen, P.,
Han, B.,
Liu, T.,
Prasad, G.,
Weakly Supervised Action Localization by Sparse Temporal Pooling
Network,
CVPR18(6752-6761)
IEEE DOI
1812
Videos, Proposals, Feature extraction, Task analysis,
Convolutional neural networks, Prediction algorithms
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Action Segmentation, Action Start .