Yeo, C.,
Ahammad, P.,
Ramchandran, K.,
Sastry, S.S.,
High-Speed Action Recognition and Localization in Compressed Domain
Videos,
CirSysVideo(18), No. 8, August 2008, pp. 1006-1015.
IEEE DOI
0809
BibRef
Cho, J.C.[Jung-Chan],
Lee, M.[Minsik],
Chang, H.J.[Hyung Jin],
Oh, S.H.[Song-Hwai],
Robust action recognition using local motion and group sparsity,
PR(47), No. 5, 2014, pp. 1813-1825.
Elsevier DOI
1402
Action recognition
BibRef
Wang, G.F.[Guo-Feng],
Qin, X.Y.[Xue-Ying],
Zhong, F.[Fan],
Liu, Y.[Yue],
Li, H.B.[Hong-Bo],
Peng, Q.S.[Qun-Sheng],
Yang, M.H.[Ming-Hsuan],
Visual Tracking via Sparse and Local Linear Coding,
IP(24), No. 11, November 2015, pp. 3796-3809.
IEEE DOI
1509
image coding
BibRef
Earlier: A1, A3, A4, A6, A2, Only:
Visual Tracking in Continuous Appearance Space via Sparse Coding,
ACCV12(III:57-70).
Springer DOI
1304
See also Visual Tracking via Temporally Smooth Sparse Coding.
See also Visual Tracking via Coarse and Fine Structural Local Sparse Appearance Models.
BibRef
Qi, Y.K.[Yuan-Kai],
Qin, L.[Lei],
Zhang, J.[Jian],
Zhang, S.P.[Sheng-Ping],
Huang, Q.M.[Qing-Ming],
Yang, M.H.[Ming-Hsuan],
Structure-Aware Local Sparse Coding for Visual Tracking,
IP(27), No. 8, August 2018, pp. 3857-3869.
IEEE DOI
1806
image coding, image representation, image sequences,
object tracking, target tracking, dictionary,
template update
BibRef
Jain, M.[Mihir],
van Gemert, J.C.[Jan C.],
Jégou, H.[Hervé],
Bouthemy, P.[Patrick],
Snoek, C.G.M.[Cees G. M.],
Tubelets: Unsupervised Action Proposals from Spatiotemporal
Super-Voxels,
IJCV(124), No. 3, September 2017, pp. 287-311.
Springer DOI
1708
BibRef
Earlier:
Action Localization with Tubelets from Motion,
CVPR14(740-747)
IEEE DOI
1409
determine when and where certain actions appear.
BibRef
Jain, M.[Mihir],
van Gemert, J.C.[Jan C.],
Snoek, C.G.M.[Cees G.M.],
What do 15,000 object categories tell us about classifying and
localizing actions?,
CVPR15(46-55)
IEEE DOI
1510
BibRef
Yang, P.W.[Peng-Wan],
Mettes, P.S.[Pascal S.],
Snoek, C.G.M.[Cees G. M.],
Few-Shot Transformation of Common Actions into Time and Space,
CVPR21(16026-16035)
IEEE DOI
2111
Location awareness,
Transformers, Pattern recognition, Noise measurement, Proposals
BibRef
Mettes, P.S.[Pascal S.],
Snoek, C.G.M.[Cees G. M.],
Spatial-Aware Object Embeddings for Zero-Shot Localization and
Classification of Actions,
ICCV17(4453-4462)
IEEE DOI
1802
image classification, image motion analysis, object detection,
object recognition, video signal processing,
Trajectory
BibRef
Mettes, P.S.[Pascal S.],
Snoek, C.G.M.[Cees G. M.],
Pointly-Supervised Action Localization,
IJCV(127), No. 3, March 2019, pp. 263-281.
Springer DOI
1903
Localization by finding bounding boxes.
BibRef
Mettes, P.S.[Pascal S.],
van Gemert, J.C.[Jan C.],
Snoek, C.G.M.[Cees G. M.],
Spot On: Action Localization from Pointly-Supervised Proposals,
ECCV16(V: 437-453).
Springer DOI
1611
BibRef
van Gemert, J.C.[Jan C.],
Jain, M.[Mihir],
Gati, E.[Ella],
Snoek, C.G.M.[Cees G.M.],
APT: Action localization proposals from dense trajectories,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Jain, M.[Mihir],
van Gemert, J.C.[Jan C.],
Mensink, T.[Thomas],
Snoek, C.G.M.[Cees G.M.],
Objects2action:
Classifying and Localizing Actions without Any Video Example,
ICCV15(4588-4596)
IEEE DOI
1602
Computational modeling
BibRef
Soomro, K.[Khurram],
Idrees, H.[Haroon],
Shah, M.[Mubarak],
Online Localization and Prediction of Actions and Interactions,
PAMI(41), No. 2, February 2019, pp. 459-472.
IEEE DOI
1901
BibRef
Earlier:
Predicting the Where and What of Actors and Actions through Online
Action Localization,
CVPR16(2648-2657)
IEEE DOI
1612
BibRef
Earlier:
Action Localization in Videos through Context Walk,
ICCV15(3280-3288)
IEEE DOI
1602
Videos, Support vector machines, Predictive models,
Motion segmentation, Visualization, Training, Dynamic programming,
structural SVM.
Context
BibRef
Soomro, K.[Khurram],
Shah, M.[Mubarak],
Unsupervised Action Discovery and Localization in Videos,
ICCV17(696-705)
IEEE DOI
1802
directed graphs, feature extraction, image classification,
image segmentation, knapsack problems, pattern clustering,
Videos
BibRef
Song, H.,
Wu, X.,
Zhu, B.,
Wu, Y.,
Chen, M.,
Jia, Y.,
Temporal Action Localization in Untrimmed Videos Using Action Pattern
Trees,
MultMed(21), No. 3, March 2019, pp. 717-730.
IEEE DOI
1903
data mining, feature extraction, image motion analysis,
image segmentation, learning (artificial intelligence),
overlap loss function
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
Zhang, Y.Q.[Yong-Qiang],
Ding, M.L.[Ming-Li],
Bai, Y.C.[Yan-Cheng],
Liu, D.D.[Dan-Dan],
Ghanem, B.[Bernard],
Learning a strong detector for action localization in videos,
PRL(128), 2019, pp. 407-413.
Elsevier DOI
1912
Frame-level object detection, Deformable anchor cuboid, Action localization
BibRef
Heilbron, F.C.[Fabian Caba],
Lee, J.Y.[Joon-Young],
Jin, H.L.[Hai-Lin],
Ghanem, B.[Bernard],
What Do I Annotate Next? An Empirical Study of Active Learning for
Action Localization,
ECCV18(XI: 212-229).
Springer DOI
1810
BibRef
Heilbron, F.C.[Fabian Caba],
Barrios, W.,
Escorcia, V.,
Ghanem, B.[Bernard],
SCC: Semantic Context Cascade for Efficient Action Detection,
CVPR17(3175-3184)
IEEE DOI
1711
Computational modeling, Context modeling, Dogs, Legged locomotion,
Proposals, Semantics, Video, sequences
BibRef
Escorcia, V.[Victor],
Heilbron, F.C.[Fabian Caba],
Niebles, J.C.[Juan Carlos],
Ghanem, B.[Bernard],
DAPs: Deep Action Proposals for Action Understanding,
ECCV16(III: 768-784).
Springer DOI
1611
BibRef
Heilbron, F.C.[Fabian Caba],
Thabet, A.[Ali],
Niebles, J.C.[Juan Carlos],
Ghanem, B.[Bernard],
Camera Motion and Surrounding Scene Appearance as Context for Action
Recognition,
ACCV14(IV: 583-597).
Springer DOI
1504
BibRef
Long, F.C.[Fu-Chen],
Yao, T.[Ting],
Qiu, Z.F.[Zhao-Fan],
Tian, X.M.[Xin-Mei],
Mei, T.[Tao],
Luo, J.B.[Jie-Bo],
Coarse-to-Fine Localization of Temporal Action Proposals,
MultMed(22), No. 6, June 2020, pp. 1577-1590.
IEEE DOI
2005
BibRef
Earlier: A1, A2, A3, A4, A6, A5:
Gaussian Temporal Awareness Networks for Action Localization,
CVPR19(344-353).
IEEE DOI
2002
Proposals, Videos, Painting, Brushes, Task analysis,
Feature extraction, Action Proposals, Action Recognition,
Video Captioning
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
Yang, L.,
Peng, H.,
Zhang, D.,
Fu, J.,
Han, J.,
Revisiting Anchor Mechanisms for Temporal Action Localization,
IP(29), 2020, pp. 8535-8548.
IEEE DOI
2008
Temporal action localization, default anchor, anchor free, complementarity
BibRef
Xu, W.,
Yu, J.,
Miao, Z.,
Wan, L.,
Ji, Q.,
Spatio-Temporal Deep Q-Networks for Human Activity Localization,
CirSysVideo(30), No. 9, September 2020, pp. 2984-2999.
IEEE DOI
2009
Proposals, Reinforcement learning, Activity recognition,
Context modeling, Electron tubes,
seq-to-seq model
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
Li, Y.G.[Ye-Guang],
Zhang, M.Y.[Ming-Yuan],
Hu, L.[Liang],
Li, J.[Jun],
Wang, D.Q.[De-Qing],
Candidate region correlation for video action detection,
JVCIR(71), 2020, pp. 102818.
Elsevier DOI
2009
Deep learning, Action detection, Region correlation, Self-attention mechanism
BibRef
Chen, P.,
Gan, C.,
Shen, G.,
Huang, W.,
Zeng, R.,
Tan, M.,
Relation Attention for Temporal Action Localization,
MultMed(22), No. 10, October 2020, pp. 2723-2733.
IEEE DOI
2009
Proposals, Feature extraction, Task analysis, Object detection,
Deep learning, Sports, Semantics, Temporal action localization,
relation attention
BibRef
Zhang, S.,
Song, L.,
Gao, C.,
Sang, N.,
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
Xu, L.[Liang],
Wang, X.G.[Xing-Gang],
Liu, W.Y.[Wen-Yu],
Feng, B.[Bin],
Cascaded Boundary Network for High-Quality Temporal Action Proposal
Generation,
CirSysVideo(30), No. 10, October 2020, pp. 3702-3713.
IEEE DOI
2010
Proposals, Videos, Feature extraction, Task analysis,
Object detection, Visualization, Correlation,
long short-term memory
BibRef
Liu, X.L.[Xiao-Long],
Sun, Y.C.[Yu-Chao],
Lu, J.H.[Jiang-Hu],
Yao, C.[Cong],
Zhou, Y.[Yu],
Self-Similarity Action Proposal,
SPLetters(27), 2020, pp. 2064-2068.
IEEE DOI
2012
Proposals, Generators, Image segmentation, Sampling methods,
Motion segmentation, Feature extraction, Visualization,
temporal action localization
BibRef
Su, R.[Rui],
Xu, D.[Dong],
Sheng, L.,
Ouyang, W.L.[Wan-Li],
PCG-TAL: Progressive Cross-Granularity Cooperation for Temporal
Action Localization,
IP(30), 2021, pp. 2103-2113.
IEEE DOI
2102
image colour analysis, image motion analysis,
learning (artificial intelligence), object detection, PCG-TAL,
cross-stream cooperation
BibRef
Su, R.[Rui],
Ouyang, W.L.[Wan-Li],
Zhou, L.P.[Lu-Ping],
Xu, D.[Dong],
Improving Action Localization by Progressive Cross-Stream Cooperation,
CVPR19(12008-12017).
IEEE DOI
2002
BibRef
Ning, K.,
Xie, L.,
Liu, J.,
Wu, F.,
Tian, Q.,
Interaction-Integrated Network for Natural Language Moment
Localization,
IP(30), 2021, pp. 2538-2548.
IEEE DOI
2102
Visualization, Semantics, Location awareness, Task analysis,
Linguistics, Convolution, Data models,
vision-language understanding
BibRef
Zhang, X.Y.[Xiao-Yu],
Shi, H.C.[Hai-Chao],
Li, C.S.[Chang-Sheng],
Li, P.[Peng],
Li, Z.[Zekun],
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
Wang, B.,
Yang, L.,
Zhao, Y.,
POLO: Learning Explicit Cross-Modality Fusion for Temporal Action
Localization,
SPLetters(28), 2021, pp. 503-507.
IEEE DOI
2103
Videos, Location awareness, Convolution, Training,
Feature extraction, Task analysis, Kernel, Feature fusion,
temporal action localization
BibRef
Hu, Y.P.[Yu-Peng],
Liu, M.[Meng],
Su, X.O.[Xia-Obin],
Gao, Z.[Zan],
Nie, L.Q.[Li-Qiang],
Video Moment Localization via Deep Cross-Modal Hashing,
IP(30), 2021, pp. 4667-4677.
IEEE DOI
2105
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, Pattern recognition,
Video analysis and understanding, Action and event recognition.
Image annotation, Task analysis, Action and behavior recognition
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,
Pattern recognition, Complexity theory, Task analysis
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
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
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
Localization,
ECCV20(VI:37-54).
Springer DOI
2011
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
Zhai, Y.H.[Yuan-Hao],
Wang, L.[Le],
Tang, W.[Wei],
Zhang, Q.[Qilin],
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
Mettes, P.S.[Pascal S.],
Thong, W.[William],
Snoek, C.G.M.[Cees G. M.],
Object Priors for Classifying and Localizing Unseen Actions,
IJCV(129), No. 6, June 2021, pp. 1954-1971.
Springer DOI
2106
BibRef
Hu, Y.P.[Yu-Peng],
Nie, L.Q.[Li-Qiang],
Liu, M.[Meng],
Wang, K.[Kun],
Wang, Y.L.[Ying-Long],
Hua, X.S.[Xian-Sheng],
Coarse-to-Fine Semantic Alignment for Cross-Modal Moment Localization,
IP(30), 2021, pp. 5933-5943.
IEEE DOI
2107
Semantics, Location awareness, Visualization, Context modeling,
Proposals, Task analysis, Correlation,
hierarchical semantic pruning
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
Bai, C.[Cong],
Li, H.K.[Hong-Kai],
Zhang, J.L.[Jing-Lin],
Huang, L.[Ling],
Zhang, L.[Lu],
Unsupervised Adversarial Instance-Level Image Retrieval,
MultMed(23), 2021, pp. 2199-2207.
IEEE DOI
2108
Retrival of instances from daily life monitoring.
Image retrieval, Training, Generators,
Generative adversarial networks, Feature extraction,
unsupervised training
BibRef
Ding, X.P.[Xin-Peng],
Wang, N.N.[Nan-Nan],
Gao, X.B.[Xin-Bo],
Li, J.[Jie],
Wang, X.Y.[Xiao-Yu],
Liu, T.L.[Tong-Liang],
KFC: An Efficient Framework for Semi-Supervised Temporal Action
Localization,
IP(30), 2021, pp. 6869-6878.
IEEE DOI
2108
Perturbation methods, Location awareness, Feature extraction,
Training, Annotations, Semisupervised learning, Semantics,
video understanding
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
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, Xenon,
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, Pattern recognition, Videos
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
Xuan, H.Y.[Han-Yu],
Luo, L.[Lei],
Zhang, Z.Y.[Zhen-Yu],
Yang, J.[Jian],
Yan, Y.[Yan],
Discriminative Cross-Modality Attention Network for Temporal
Inconsistent Audio-Visual Event Localization,
IP(30), 2021, pp. 7878-7888.
IEEE DOI
2109
Visualization, Location awareness, Semantics, Task analysis,
Correlation, Linear programming, Fuses, Multi-modality perception,
discriminative representation
BibRef
Zhang, Z.J.[Zi-Jian],
Zhao, Z.[Zhou],
Zhang, Z.[Zhu],
Lin, Z.J.[Zhi-Jie],
Wang, Q.[Qi],
Hong, R.C.[Ri-Chang],
Temporal Textual Localization in Video via Adversarial Bi-Directional
Interaction Networks,
MultMed(23), 2021, pp. 3306-3317.
IEEE DOI
2109
Bidirectional control, Semantics, Task analysis, Correlation,
Natural languages, Visualization,
texual video localization
BibRef
Zhang, Z.M.[Zong-Meng],
Han, X.J.[Xian-Jing],
Song, X.M.[Xue-Meng],
Yan, Y.[Yan],
Nie, L.Q.[Li-Qiang],
Multi-Modal Interaction Graph Convolutional Network for Temporal
Language Localization in Videos,
IP(30), 2021, pp. 8265-8277.
IEEE DOI
2110
Start and end points of a moment described by a natural language sentence.
Videos, Location awareness, Task analysis, Semantics, Syntactics,
Convolution, Cognition, Temporal language localization,
video and language
BibRef
Zhao, P.[Peisen],
Xie, L.X.[Ling-Xi],
Zhang, Y.[Ya],
Tian, Q.[Qi],
Universal-to-Specific Framework for Complex Action Recognition,
MultMed(23), 2021, pp. 3441-3453.
IEEE DOI
2110
Convolution, Task analysis,
Feature extraction, Manganese, Solid modeling, Action recognition,
neural networks
BibRef
Zhao, P.[Peisen],
Xie, L.X.[Ling-Xi],
Ju, C.[Chen],
Zhang, Y.[Ya],
Wang, Y.F.[Yan-Feng],
Tian, Q.[Qi],
Bottom-up Temporal Action Localization with Mutual Regularization,
ECCV20(VIII:539-555).
Springer DOI
2011
BibRef
Paul, S.[Sudipta],
Mithun, N.C.[Niluthpol Chowdhury],
Roy-Chowdhury, A.K.[Amit K.],
Text-Based Localization of Moments in a Video Corpus,
IP(30), 2021, pp. 8886-8899.
IEEE DOI
2111
Task analysis, Location awareness, Semantics, Visualization,
Image coding, Feature extraction, Annotations, video corpus
BibRef
Su, R.[Rui],
Xu, D.[Dong],
Zhou, L.P.[Lu-Ping],
Ouyang, W.L.[Wan-Li],
Progressive Cross-Stream Cooperation in Spatial and Temporal Domain
for Action Localization,
PAMI(43), No. 12, December 2021, pp. 4477-4490.
IEEE DOI
2112
Location awareness, Detectors, Feature extraction,
Spatial temporal resolution, Training data, Motion segmentation,
two-stream cooperation
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
Ng, Y.B.[Yan Bin],
Fernando, B.[Basura],
Weakly supervised action segmentation with effective use of attention
and self-attention,
CVIU(213), 2021, pp. 103298.
Elsevier DOI
2112
Weakly supervised action segmentation, Self-attention,
Sequence-to-sequence models
BibRef
Zhou, Y.[Yuan],
Wang, R.L.[Ruo-Lin],
Li, H.R.[Hong-Ru],
Kung, S.Y.[Sun-Yuan],
Temporal Action Localization Using Long Short-Term Dependency,
MultMed(23), 2021, pp. 4363-4375.
IEEE DOI
2112
Videos, Feature extraction, Proposals, Task analysis,
Recurrent neural networks, video content analysis
BibRef
Zhao, P.[Peisen],
Xie, L.X.[Ling-Xi],
Zhang, Y.[Ya],
Tian, Q.[Qi],
Actionness-Guided Transformer for Anchor-Free Temporal Action
Localization,
SPLetters(29), 2022, pp. 194-198.
IEEE DOI
2202
Proposals, Transformers, Videos, Location awareness, Training,
Feature extraction, Convolution, Temporal action localization, transformer
BibRef
Sun, C.[Che],
Song, H.[Hao],
Wu, X.X.[Xin-Xiao],
Jia, Y.D.[Yun-De],
Luo, J.B.[Jie-Bo],
Exploiting Informative Video Segments for Temporal Action
Localization,
MultMed(24), 2022, pp. 274-287.
IEEE DOI
2202
Motion segmentation, Location awareness, Proposals, Generators,
Aggregates, Image segmentation, Feature extraction,
attention mechanism
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
Xu, J.L.[Jing-Lin],
Chen, G.Y.[Guang-Yi],
Lu, J.W.[Ji-Wen],
Zhou, J.[Jie],
Unintentional Action Localization via Counterfactual Examples,
IP(31), 2022, pp. 3281-3294.
IEEE DOI
2205
Location awareness, Training, Predictive models, Anomaly detection,
Correlation, Task analysis, Proposals,
intention
BibRef
Xu, J.L.[Jing-Lin],
Chen, G.Y.[Guang-Yi],
Zhou, N.X.[Nuo-Xing],
Zheng, W.S.[Wei-Shi],
Lu, J.W.[Ji-Wen],
Probabilistic Temporal Modeling for Unintentional Action Localization,
IP(31), 2022, pp. 3081-3094.
IEEE DOI
2205
Probabilistic logic, Location awareness, Videos, Annotations,
Uncertainty, Reliability, Anomaly detection,
action intention
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
Fu, H.[Hao],
Wang, H.X.[Hong-Xing],
Multiple cross-attention for video-subtitle moment retrieval,
PRL(156), 2022, pp. 7-14.
Elsevier DOI
2205
Video-subtitle moment retrieval, Multi-modal learning, Cross-attention
BibRef
Li, X.W.[Xue-Wei],
Wu, H.J.[Hong-Jun],
Li, M.Z.[Meng-Zhu],
Liu, H.Z.[Hong-Zhe],
Multi-label video classification via coupling attentional multiple
instance learning with label relation graph,
PRL(156), 2022, pp. 53-59.
Elsevier DOI
2205
Multi-label video classification, Multiple instance learning,
Attentional feature learning, Label relation graph
BibRef
Rodin, I.[Ivan],
Furnari, A.[Antonino],
Mavroeidis, D.[Dimitrios],
Farinella, G.M.[Giovanni Maria],
Untrimmed Action Anticipation,
CIAP22(III:337-348).
Springer DOI
2205
BibRef
Xia, K.[Kun],
Wang, L.[Le],
Zhou, S.P.[San-Ping],
Hua, G.[Gang],
Tang, W.[Wei],
Dual relation network for temporal action localization,
PR(129), 2022, pp. 108725.
Elsevier DOI
2206
Temporal action localization, Relation reasoning
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
Uslu, G.[Gamze],
Baydere, S.[Sebnem],
A Segmentation Scheme for Knowledge Discovery in Human Activity
Spotting,
Cyber(52), No. 7, July 2022, pp. 5668-5681.
IEEE DOI
2207
Feature extraction, Time-domain analysis, Training,
Knowledge discovery, Training data, Task analysis, Entropy,
sliding windowing
BibRef
Kim, Y.H.[Young Hwi],
Nam, S.[Seonghyeon],
Kim, S.J.[Seon Joo],
2PESNet: Towards online processing of temporal action localization,
PR(131), 2022, pp. 108871.
Elsevier DOI
2208
Online video understanding, Temporal action localization
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
Wang, Q.Y.[Qing-Yun],
Song, Y.[Yan],
Zou, R.[Rong],
Shu, X.[Xiangbo],
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
Zeng, R.H.[Run-Hao],
Huang, W.B.[Wen-Bing],
Tan, M.K.[Ming-Kui],
Rong, Y.[Yu],
Zhao, P.[Peilin],
Huang, J.Z.[Jun-Zhou],
Gan, C.[Chuang],
Graph Convolutional Module for Temporal Action Localization in Videos,
PAMI(44), No. 10, October 2022, pp. 6209-6223.
IEEE DOI
2209
BibRef
Earlier: A1, A2, A7, A3, A4, A5, A6:
Graph Convolutional Networks for Temporal Action Localization,
ICCV19(7093-7102)
IEEE DOI
2004
Location awareness, Videos, Proposals, Semantics,
Image edge detection, Sports, Feature extraction,
video analysis.
convolutional, graph theory,
image classification, learning (artificial intelligence),
action proposal graph
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
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
Nawaz, H.S.[Hafiza Sadia],
Shi, Z.S.[Zhen-Sheng],
Gan, Y.H.[Yan-Hai],
Hirpa, A.[Amanuel],
Dong, J.Y.[Jun-Yu],
Zheng, H.Y.[Hai-Yong],
Temporal Moment Localization via Natural Language by Utilizing Video
Question Answers as a Special Variant and Bypassing NLP for Corpora,
CirSysVideo(32), No. 9, September 2022, pp. 6174-6185.
IEEE DOI
2209
Visualization, Location awareness, Natural language processing,
Oceans, Transformers, Semantics, Grounding, Moment retrieval,
moment localization using language
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
Zhang, Y.[Yaru],
Zhang, X.Y.[Xiao-Yu],
Shi, H.C.[Hai-Chao],
OW-TAL: Learning Unknown Human Activities for Open-World Temporal
Action Localization,
PR(133), 2023, pp. 109027.
Elsevier DOI
2210
Temporal action localization, Open-world learning, Self-paced learning
BibRef
Liu, Y.[Yi],
Wang, L.M.[Li-Min],
Wang, Y.[Yali],
Ma, X.[Xiao],
Qiao, Y.[Yu],
FineAction: A Fine-Grained Video Dataset for Temporal Action
Localization,
IP(31), 2022, pp. 6937-6950.
IEEE DOI
2212
Annotations, Location awareness, Sports, Benchmark testing, Taxonomy,
Task analysis, Hair, Temporal action localization, fine-grained,
deep learning
BibRef
Zhang, S.Y.[Song-Yang],
Peng, H.[Houwen],
Fu, J.L.[Jian-Long],
Lu, Y.J.[Yi-Juan],
Luo, J.B.[Jie-Bo],
Multi-Scale 2D Temporal Adjacency Networks for Moment Localization
With Natural Language,
PAMI(44), No. 12, December 2022, pp. 9073-9087.
IEEE DOI
2212
Location awareness, Context modeling, Task analysis,
Natural languages, Feature extraction, Rats, Semantics
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
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, Pattern recognition,
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
Vo, K.[Khoa],
Truong, S.[Sang],
Yamazaki, K.[Kashu],
Raj, B.[Bhiksha],
Tran, M.T.[Minh-Triet],
Le, N.[Ngan],
AOE-Net: Entities Interactions Modeling with Adaptive Attention
Mechanism for Temporal Action Proposals Generation,
IJCV(131), No. 1, January 2023, pp. 302-323.
Springer DOI
2301
WWW Link.
BibRef
Pehlivan, S.[Selen],
Laaksonen, J.T.[Jorma T.],
Improved action proposals using fine-grained proposal features with
recurrent attention models,
JVCIR(90), 2023, pp. 103709.
Elsevier DOI
2301
Temporal action proposal generation,
Untrimmed video understanding, Temporal convolution, Attention
BibRef
Liu, M.[Meng],
Nie, L.Q.[Li-Qiang],
Wang, Y.[Yunxiao],
Wang, M.[Meng],
Rui, Y.[Yong],
A Survey on Video Moment Localization,
Surveys(55), No. 9, January 2023, pp. xx-yy.
DOI Link
2302
Survey, Action Localization. vision and language, survey, cross-modal retrieval,
video moment retrieval, Video moment localization
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
Xue, C.[Cheng],
Zhong, X.[Xionghu],
Cai, M.J.[Min-Jie],
Chen, H.[Hao],
Wang, W.[Wenwu],
Audio-Visual Event Localization by Learning Spatial and Semantic
Co-Attention,
MultMed(25), 2023, pp. 418-429.
IEEE DOI
2302
Visualization, Location awareness, Task analysis, Semantics,
Feature extraction, Correlation, Automobiles, Audio-visual,
deep learning
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
Su, Y.T.[Yu-Ting],
Wang, W.K.[Wei-Kang],
Liu, J.[Jing],
Ma, S.[Shuang],
Yang, X.K.[Xiao-Kang],
Sequence as a Whole: A Unified Framework for Video Action
Localization With Long-Range Text Query,
IP(32), 2023, pp. 1403-1418.
IEEE DOI
2303
Location awareness, Task analysis, Grounding, Transformers,
Convolution, Visualization, Spatiotemporal phenomena,
vision transformer
BibRef
Mahmud, T.[Tanvir],
Marculescu, D.[Diana],
AVE-CLIP: AudioCLIP-based Multi-window Temporal Transformer for Audio
Visual Event Localization,
WACV23(5147-5156)
IEEE DOI
2302
Location awareness, Training, Visualization, Fuses, Refining,
Algorithms: Video recognition and understanding (tracking,
Vision + language and/or other modalities
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
Kang, T.K.[Tae-Kyung],
Lee, G.H.[Gun-Hee],
Jin, K.M.[Kyung-Min],
Lee, S.W.[Seong-Whan],
Action-aware Masking Network with Group-based Attention for Temporal
Action Localization,
WACV23(6047-6056)
IEEE DOI
2302
Location awareness, Computational modeling, Semantics,
Benchmark testing, Feature extraction, Task analysis
BibRef
Cao, M.[Meng],
Yang, T.Y.[Tian-Yu],
Weng, J.W.[Jun-Wu],
Zhang, C.[Can],
Wang, J.[Jue],
Zou, Y.X.[Yue-Xian],
LocVTP: Video-Text Pre-training for Temporal Localization,
ECCV22(XXVI:38-56).
Springer DOI
2211
BibRef
Cheng, F.[Feng],
Bertasius, G.[Gedas],
TallFormer: Temporal Action Localization with a Long-Memory Transformer,
ECCV22(XXXIV:503-521).
Springer DOI
2211
BibRef
Kim, Y.H.[Young Hwi],
Kang, H.[Hyolim],
Kim, S.J.[Seon Joo],
A Sliding Window Scheme for Online Temporal Action Localization,
ECCV22(XXXIV:653-669).
Springer DOI
2211
BibRef
Rao, V.[Varshanth],
Khalil, M.I.[Md Ibrahim],
Li, H.[Haoda],
Dai, P.[Peng],
Lu, J.W.[Ju-Wei],
Dual Perspective Network for Audio-Visual Event Localization,
ECCV22(XXXIV:689-704).
Springer DOI
2211
BibRef
Huang, J.[Jiabo],
Jin, H.L.[Hai-Lin],
Gong, S.G.[Shao-Gang],
Liu, Y.[Yang],
Video Activity Localisation with Uncertainties in Temporal Boundary,
ECCV22(XXXIV:724-740).
Springer DOI
2211
BibRef
Aakur, S.[Sathyanarayanan],
Sarkar, S.[Sudeep],
Actor-Centered Representations for Action Localization in Streaming
Videos,
ECCV22(XXXVIII:70-87).
Springer DOI
2211
BibRef
Paul, S.[Sudipta],
Mithun, N.C.[Niluthpol Chowdhury],
Roy-Chowdhury, A.K.[Amit K.],
Text-Based Temporal Localization of Novel Events,
ECCV22(XIV:567-587).
Springer DOI
2211
BibRef
Zhang, C.L.[Chen-Lin],
Wu, J.X.[Jian-Xin],
Li, Y.[Yin],
ActionFormer: Localizing Moments of Actions with Transformers,
ECCV22(IV:492-510).
Springer DOI
2211
BibRef
Togashi, R.[Riku],
Otani, M.[Mayu],
Nakashima, Y.[Yuta],
Rahtu, E.[Esa],
Heikkilä, J.[Janne],
Sakai, T.[Tetsuya],
AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval,
CVPR22(21044-21053)
IEEE DOI
2210
Current measurement, Computational modeling, Stability analysis,
Pattern recognition, Reliability, Datasets and evaluation,
Video analysis and understanding
BibRef
Zhang, Y.H.[Yun-Hua],
Doughty, H.[Hazel],
Shao, L.[Ling],
Snoek, C.G.M.[Cees G. M.],
Audio-Adaptive Activity Recognition Across Video Domains,
CVPR22(13781-13790)
IEEE DOI
2210
Training, Adaptation models, Visualization, Computational modeling,
Semantics, Self-supervised learning, Vision+X
BibRef
Liu, W.Z.[Wei-Zhe],
Tekin, B.[Bugra],
Coskun, H.[Huseyin],
Vineet, V.[Vibhav],
Fua, P.[Pascal],
Pollefeys, M.[Marc],
Learning to Align Sequential Actions in the Wild,
CVPR22(2171-2181)
IEEE DOI
2210
Representation learning, Codes, Self-supervised learning,
Benchmark testing, Pattern recognition, Behavioral sciences,
Video analysis and understanding
BibRef
Li, W.[Wei],
Chen, S.[Shimin],
Gu, J.Y.[Jian-Yang],
Wang, N.[Ning],
Chen, C.[Chen],
Guo, Y.D.[Yan-Dong],
MV-TAL: Mulit-view Temporal Action Localization in Naturalistic
Driving,
AICity22(3241-3247)
IEEE DOI
2210
Location awareness, Measurement, Visualization,
Aggregates, Gray-scale
BibRef
Zhang, C.[Can],
Yang, T.[Tianyu],
Weng, J.[Junwu],
Cao, M.[Meng],
Wang, J.[Jue],
Zou, Y.X.[Yue-Xian],
Unsupervised Pre-training for Temporal Action Localization Tasks,
CVPR22(14011-14021)
IEEE DOI
2210
Location awareness, Representation learning, Bridges,
Adaptation models, Codes, Computational modeling,
Self- semi- meta- unsupervised learning
BibRef
Li, J.J.[Jing-Jing],
Yang, T.[Tianyu],
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, Pattern recognition, retrieval
BibRef
He, B.[Bo],
Yang, X.[Xitong],
Kang, L.[Le],
Cheng, Z.[Zhiyu],
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, Pattern recognition, retrieval
BibRef
Xia, K.[Kun],
Wang, L.[Le],
Zhou, S.P.[San-Ping],
Zheng, N.N.[Nan-Ning],
Tang, W.[Wei],
Learning to Refactor Action and Co-occurrence Features for Temporal
Action Localization,
CVPR22(13874-13883)
IEEE DOI
2210
Location awareness, Tracking, Detectors, Feature extraction,
Pattern recognition, Task analysis, Motion and tracking
BibRef
Bao, W.T.[Wen-Tao],
Yu, Q.[Qi],
Kong, Y.[Yu],
OpenTAL: Towards Open Set Temporal Action Localization,
CVPR22(2969-2979)
IEEE DOI
2210
Location awareness, Deep learning, Uncertainty, Grounding,
Supervised learning, Color, Video analysis and understanding,
Action and event recognition
BibRef
Sridhar, D.[Deepak],
Quader, N.[Niamul],
Muralidharan, S.[Srikanth],
Li, Y.X.[Yao-Xin],
Dai, P.[Peng],
Lu, J.W.[Ju-Wei],
Class Semantics-based Attention for Action Detection,
ICCV21(13719-13728)
IEEE DOI
2203
Location awareness, Semantics, Transforms, Performance gain,
Benchmark testing, Proposals, Action and behavior recognition,
Vision applications and systems
BibRef
Huang, J.[Jiabo],
Liu, Y.[Yang],
Gong, S.G.[Shao-Gang],
Jin, H.L.[Hai-Lin],
Cross-Sentence Temporal and Semantic Relations in Video Activity
Localisation,
ICCV21(7179-7188)
IEEE DOI
2203
Training, Visualization, Image segmentation, Correlation,
Annotations, Semantics, Customer relationship management,
Vision+language
BibRef
Xu, M.M.[Meng-Meng],
Pérez-Rúa, J.M.[Juan-Manuel],
Escorcia, V.[Victor],
Martínez, B.[Brais],
Zhu, X.T.[Xia-Tian],
Zhang, L.[Li],
Ghanem, B.[Bernard],
Xiang, T.[Tao],
Boundary-sensitive Pre-training for Temporal Localization in Videos,
ICCV21(7200-7210)
IEEE DOI
2203
Location awareness, Annotations, Computational modeling, Manuals,
Complexity theory, Task analysis,
Representation learning
BibRef
Nam, J.[Jinwoo],
Ahn, D.C.[Dae-Chul],
Kang, D.Y.[Dong-Yeop],
Ha, S.J.[Seong Jong],
Choi, J.H.[Jong-Hyun],
Zero-shot Natural Language Video Localization,
ICCV21(1450-1459)
IEEE DOI
2203
Understanding videos to localize moments with natural language.
Location awareness, Training, Costs, Annotations,
Computational modeling, Natural languages, Detectors,
Visual reasoning and logical representation
BibRef
Wang, Y.X.[Yu-Xuan],
Gao, D.F.[Di-Fei],
Yu, L.C.[Li-Cheng],
Lei, W.X.[Wei-Xian],
Feiszli, M.[Matt],
Shou, M.Z.[Mike Zheng],
GEB+: A Benchmark for Generic Event Boundary Captioning, Grounding and
Retrieval,
ECCV22(XXXV:709-725).
Springer DOI
2211
BibRef
Shou, M.Z.[Mike Zheng],
Lei, S.W.X.[Stan Wei-Xian],
Wang, W.Y.[Wei-Yao],
Ghadiyaram, D.[Deepti],
Feiszli, M.[Matt],
Generic Event Boundary Detection: A Benchmark for Event Segmentation,
ICCV21(8055-8064)
IEEE DOI
2203
Quality assurance, Codes, Annotations, Benchmark testing,
Complexity theory, Cognitive science,
Action and behavior recognition
BibRef
Ju, C.[Chen],
Zhao, P.[Peisen],
Chen, S.[Siheng],
Zhang, Y.[Ya],
Wang, Y.F.[Yan-Feng],
Tian, Q.[Qi],
Divide and Conquer for Single-frame Temporal Action Localization,
ICCV21(13435-13444)
IEEE DOI
2203
Location awareness, Training, Annotations, Estimation,
Benchmark testing, Generators, Action and behavior recognition,
Video analysis and understanding
BibRef
Zhu, Z.X.[Zi-Xin],
Tang, W.[Wei],
Wang, L.[Le],
Zheng, N.N.[Nan-Ning],
Hua, G.[Gang],
Enriching Local and Global Contexts for Temporal Action Localization,
ICCV21(13496-13505)
IEEE DOI
2203
Location awareness, Adaptation models, Visualization, Codes,
Computational modeling, Network architecture,
Video analysis and understanding
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
Zhao, C.[Chen],
Thabet, A.[Ali],
Ghanem, B.[Bernard],
Video Self-Stitching Graph Network for Temporal Action Localization,
ICCV21(13638-13647)
IEEE DOI
2203
Location awareness, Training, Correlation, Codes, Aggregates,
Task analysis, Action and behavior recognition, Video analysis and understanding
BibRef
Kang, H.[Hyolim],
Kim, K.[Kyungmin],
Ko, Y.[Yumin],
Kim, S.J.[Seon Joo],
CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning
for Online Temporal Action Localization,
ICCV21(13709-13718)
IEEE DOI
2203
Location awareness, Computational modeling, Streaming media,
Proposals, Task analysis, Action and behavior recognition,
Vision for robotics and autonomous vehicles
BibRef
Zhang, L.Y.[Ling-Yu],
Radke, R.J.[Richard J.],
Natural Language Video Moment Localization Through Query-Controlled
Temporal Convolution,
WACV22(2524-2532)
IEEE DOI
2202
Location awareness, Heating systems, Visualization,
Convolution, Video sequences, Natural languages,
Analysis and Understanding
BibRef
Trehan, S.[Shubham],
Aakur, S.N.[Sathyanarayanan N.],
Towards Active Vision for Action Localization with Reactive Control
and Predictive Learning,
WACV22(3391-3400)
IEEE DOI
2202
Location awareness, Training, Visualization, Supervised learning,
Training data, Reinforcement learning, Observers,
Vision Systems and Applications Vision for Robotics
BibRef
Kim, H.[Hanul],
Jain, M.[Mihir],
Lee, J.T.[Jun-Tae],
Yun, S.[Sungrack],
Porikli, F.M.[Fatih M.],
Efficient Action Recognition via Dynamic Knowledge Propagation,
ICCV21(13699-13708)
IEEE DOI
2203
Knowledge engineering, Costs, Computational modeling,
Action and behavior recognition,
Video analysis and understanding
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
Hsieh, H.Y.[He-Yen],
Chen, D.J.[Ding-Jie],
Liu, T.L.[Tyng-Luh],
Contextual Proposal Network for Action Localization,
WACV22(766-775)
IEEE DOI
2202
Location awareness, Recurrent neural networks,
Bidirectional control, Performance gain, Proposals, Task analysis,
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
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
Li, Z.[Zhe],
Abu Farha, Y.[Yazan],
Gall, J.[Juergen],
Temporal Action Segmentation from Timestamp Supervision,
CVPR21(8361-8370)
IEEE DOI
2111
Training, Annotations, Computational modeling,
Predictive models, Pattern recognition, Task analysis
BibRef
Ma, J.W.[Jun-Wei],
Gorti, S.K.[Satya Krishna],
Volkovs, M.[Maksims],
Yu, G.[Guangwei],
Weakly Supervised Action Selection Learning in Video,
CVPR21(7583-7592)
IEEE DOI
2111
Location awareness, Codes, Annotations,
Predictive models, Benchmark testing, Pattern recognition
BibRef
Liu, Y.[Yuan],
Chen, J.Y.[Jing-Yuan],
Chen, Z.F.[Zhen-Fang],
Deng, B.[Bing],
Huang, J.Q.[Jian-Qiang],
Zhang, H.[Hanwang],
The Blessings of Unlabeled Background in Untrimmed Videos,
CVPR21(6172-6181)
IEEE DOI
2111
Location awareness, Training, Visualization,
Smoothing methods, Computational modeling, Pattern recognition
BibRef
Li, Z.H.[Zhi-Hui],
Yao, L.[Lina],
Three Birds with One Stone: Multi-Task Temporal Action Detection via
Recycling Temporal Annotations,
CVPR21(4749-4758)
IEEE DOI
2111
Location awareness, Annotations, Estimation, Object segmentation,
Predictive models, Recycling, Pattern recognition
BibRef
Gao, S.H.[Shang-Hua],
Han, Q.[Qi],
Li, Z.Y.[Zhong-Yu],
Peng, P.[Pai],
Wang, L.[Liang],
Cheng, M.M.[Ming-Ming],
Global2Local:
Efficient Structure Search for Video Action Segmentation,
CVPR21(16800-16809)
IEEE DOI
2111
Codes, Probabilistic logic, Pattern recognition,
Task analysis, Forecasting
BibRef
Liu, X.L.[Xiao-Long],
Hu, Y.[Yao],
Bai, S.[Song],
Ding, F.[Fei],
Bai, X.[Xiang],
Torr, P.H.S.[Philip H.S.],
Multi-shot Temporal Event Localization: a Benchmark,
CVPR21(12591-12601)
IEEE DOI
2111
Location awareness, TV, Codes, Annotations,
Benchmark testing, Motion pictures
BibRef
Wang, H.[Hao],
Zha, Z.J.[Zheng-Jun],
Li, L.[Liang],
Liu, D.[Dong],
Luo, J.B.[Jie-Bo],
Structured Multi-Level Interaction Network for Video Moment
Localization via Language Query,
CVPR21(7022-7031)
IEEE DOI
2111
Location awareness, Natural languages,
Benchmark testing, Pattern recognition, Proposals, Task analysis
BibRef
Lin, C.M.[Chu-Ming],
Xu, C.M.[Cheng-Ming],
Luo, D.H.[Dong-Hao],
Wang, Y.B.[Ya-Biao],
Tai, Y.[Ying],
Wang, C.J.[Cheng-Jie],
Li, J.L.[Ji-Lin],
Huang, F.Y.[Fei-Yue],
Fu, Y.W.[Yan-Wei],
Learning Salient Boundary Feature for Anchor-free Temporal Action
Localization,
CVPR21(3319-3328)
IEEE DOI
2111
Location awareness, Design methodology,
Computational modeling, Predictive models,
Feature extraction, Pattern recognition
BibRef
Tirupattur, P.[Praveen],
Duarte, K.[Kevin],
Rawat, Y.S.[Yogesh S.],
Shah, M.[Mubarak],
Modeling Multi-Label Action Dependencies for Temporal Action
Localization,
CVPR21(1460-1470)
IEEE DOI
2111
Measurement, Location awareness, Codes,
Network architecture, Benchmark testing, Pattern recognition
BibRef
Lópcz-Sastrc, R.J.[Roberto J.],
Baptista-Ríos, M.[Marcos],
Rodríguez, F.J. .A.[Francisco J. Acevedo-],
Martín-Martín, P.[Pilar],
Maldonado-Bascón, S.[Saturnino],
Live Video Action Recognition from Unsupervised Action Proposals,
MVA21(1-6)
DOI Link
2109
Pipelines, Object segmentation, Generators, Proposals, Videos
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
Rodriguez-Opazo, C.[Cristian],
Marrese-Taylor, E.[Edison],
Fernando, B.[Basura],
Li, H.D.[Hong-Dong],
Gould, S.[Stephen],
DORi: Discovering Object Relationships for Moment Localization of a
Natural Language Query in a Video,
WACV21(1078-1087)
IEEE DOI
2106
Location awareness, Technological innovation,
Natural languages, Benchmark testing, Feature extraction
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
Rotsidis, A.[Alexandros],
Lutteroth, C.[Christof],
Hall, P.[Peter],
Richardt, C.[Christian],
ExMaps: Long-Term Localization in Dynamic Scenes using Exponential
Decay,
WACV21(2866-2875)
IEEE DOI
2106
Location awareness, Visualization,
Robot vision systems, Cameras, Mobile applications
BibRef
Vaudaux-Ruth, G.[Guillaume],
Tong, A.C.H.[Adrien Chan-Hon],
Achard, C.[Catherine],
SALAD: Self-Assessment Learning for Action Detection,
WACV21(1268-1277)
IEEE DOI
2106
BibRef
And:
ActionSpotter: Deep Reinforcement Learning Framework for Temporal
Action Spotting in Videos,
ICPR21(631-638)
IEEE DOI
2105
Location awareness, Machine learning algorithms, Production,
Machine learning, Performance gain, Feature extraction, Loss measurement.
Measurement, Annotations, Reinforcement learning, Detectors,
Streaming media, Pattern recognition
BibRef
Lu, C.K.[Chong-Kai],
Li, R.[Ruimin],
Fu, H.[Hong],
Fu, B.[Bin],
Wang, Y.H.[Yi-Hao],
Lo, W.L.[Wai-Lun],
Chi, Z.[Zheru],
Precise Temporal Localization for Complete Actions with Quantified
Temporal Structure,
ICPR21(4781-4788)
IEEE DOI
2105
Location awareness, Estimation, Benchmark testing,
Predictive models, Prediction algorithms, Detection algorithms
BibRef
Lin, Y.B.[Yan-Bo],
Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Audiovisual Transformer with Instance Attention for Audio-visual Event
Localization,
ACCV20(VI:274-290).
Springer DOI
2103
BibRef
Long, F.[Fuchen],
Yao, T.[Ting],
Qiu, Z.F.[Zhao-Fan],
Tian, X.M.[Xin-Mei],
Luo, J.B.[Jie-Bo],
Mei, T.[Tao],
Learning to Localize Actions from Moments,
ECCV20(III:137-154).
Springer DOI
2012
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
Aakur, S.[Sathyanarayanan],
Sarkar, S.[Sudeep],
Action Localization Through Continual Predictive Learning,
ECCV20(XIV:300-317).
Springer DOI
2011
BibRef
Chen, S.X.[Shao-Xiang],
Jiang, Y.G.[Yu-Gang],
Hierarchical Visual-textual Graph for Temporal Activity Localization
via Language,
ECCV20(XX:601-618).
Springer DOI
2011
BibRef
Yang, P.W.[Peng-Wan],
Hu, V.T.[Vincent Tao],
Mettes, P.S.[Pascal S.],
Snoek, C.G.M.[Cees G. M.],
Localizing the Common Action Among a Few Videos,
ECCV20(VII:505-521).
Springer DOI
2011
BibRef
Toering, M.[Martine],
Gatopoulos, I.[Ioannis],
Stol, M.[Maarten],
Hu, V.T.[Vincent Tao],
Self-supervised Video Representation Learning with Cross-Stream
Prototypical Contrasting,
WACV22(846-856)
IEEE DOI
2202
Representation learning, Visualization, Semantics,
Prototypes, Computational efficiency, Task analysis,
Action and Behavior Recognition Video analysis and understanding
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
Kanth, R.K.[R. Krishna],
Ramaswamy, A.[Akshaya],
Kumar, A.A.[A. Anil],
Gubbi, J.[Jayavardhana],
Balamuralidhar, P.,
STP-Net: Spatio-Temporal Polarization Network for action recognition
using polarimetric videos,
ComputationalApp22(767-776)
IEEE DOI
2202
Deep learning, Conferences, Activity recognition,
Feature extraction, Natural language processing, Sensors
BibRef
Ramaswamy, A.[Akshaya],
Seemakurthy, K.[Karthik],
Gubbi, J.[Jayavardhana],
Balamuralidhar, P.,
Video action re-localization using spatio-temporal correlation,
Activity22(192-201)
IEEE DOI
2202
Dimensionality reduction, Correlation, Databases, Convolution,
Surveillance, Conferences, Neural networks
BibRef
Ramaswamy, A.,
Seemakurthy, K.,
Gubbi, J.,
Purushothaman, B.,
Spatio-temporal action detection and localization using a
hierarchical LSTM,
DeepVision20(3303-3312)
IEEE DOI
2008
Feature extraction, Microprocessors,
Task analysis, Visualization, Proposals
BibRef
Gong, G.Q.[Guo-Qiang],
Wang, X.H.[Xing-Han],
Mu, Y.D.[Ya-Dong],
Tian, Q.[Qi],
Learning Temporal Co-Attention Models for Unsupervised Video Action
Localization,
CVPR20(9816-9825)
IEEE DOI
2008
Training, Benchmark testing, Proposals, Task analysis,
Noise measurement, Convolution, TV
BibRef
Jain, M.,
Ghodrati, A.,
Snoek, C.G.M.,
ActionBytes: Learning From Trimmed Videos to Localize Actions,
CVPR20(1168-1177)
IEEE DOI
2008
Videos, Training, Feature extraction, Task analysis, Pipelines,
Testing, Semantics
BibRef
Zhang, D.,
Dai, X.,
Wang, Y.,
METAL: Minimum Effort Temporal Activity Localization in Untrimmed
Videos,
CVPR20(3881-3891)
IEEE DOI
2008
Videos, Training, Metals, Testing, Feature extraction,
Task analysis, Visualization
BibRef
Eun, H.J.[Hyun-Jun],
Moon, J.Y.[Jin-Young],
Park, J.Y.[Jong-Youl],
Jung, C.[Chanho],
Kim, C.[Changick],
Learning to Discriminate Information for Online Action Detection,
CVPR20(806-815)
IEEE DOI
2008
Logic gates, Streaming media, Task analysis, Feature extraction,
Benchmark testing, Telecommunications, Recurrent neural networks
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
Aliakbarian, S.[Sadegh],
Saleh, F.S.[Fatemeh Sadat],
Salzmann, M.[Mathieu],
Petersson, L.[Lars],
Gould, S.[Stephen],
A Stochastic Conditioning Scheme for Diverse Human Motion Prediction,
CVPR20(5222-5231)
IEEE DOI
2008
Perturbation methods, Stochastic processes, Decoding, Training,
Predictive models, Task analysis, Diversity reception
BibRef
Rodriguez-Opazo, C.[Cristian],
Marrese-Taylor, E.[Edison],
Saleh, F.S.[Fatemeh Sadat],
Li, H.D.[Hong-Dong],
Gould, S.[Stephen],
Proposal-free Temporal Moment Localization of a Natural-Language
Query in Video using Guided Attention,
WACV20(2453-2462)
IEEE DOI
2006
Proposals, Task analysis, Natural languages, Visualization,
Semantics, Robots
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
Kwak, I.S.,
Guo, J.,
Hantman, A.,
Branson, K.,
Kriegman, D.,
Detecting the Starting Frame of Actions in Video,
WACV20(478-486)
IEEE DOI
2006
Mice, Neuroscience, Optimal matching, Neural activity,
Recurrent neural networks, Task analysis, Neurons
BibRef
Gleason, J.,
Schwarcz, S.,
Ranjan, R.,
Castillo, C.D.,
Chen, J.,
Chellappa, R.,
Activity Detection in Untrimmed Videos Using Chunk-based Classifiers,
WACVWS20(107-116)
IEEE DOI
2006
Videos, Task analysis, Proposals,
Machine learning, Standards
BibRef
Gleason, J.,
Castillo, C.D.,
Chellappa, R.,
Real-time Detection of Activities in Untrimmed Videos,
WACVWS20(117-125)
IEEE DOI
2006
Videos, Proposals, Cameras, Real-time systems, Training,
Object detection, Measurement
BibRef
Rahman, M.A.,
Laganière, R.,
Single-Stage End-to-End Temporal Activity Detection in Untrimmed
Videos,
CRV20(206-213)
IEEE DOI
2006
temporal activity detection, activity recognition,
single-stage detection, 3D convolutional network
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
Wu, W.,
He, D.,
Tan, X.,
Chen, S.,
Wen, S.,
Multi-Agent Reinforcement Learning Based Frame Sampling for Effective
Untrimmed Video Recognition,
ICCV19(6221-6230)
IEEE DOI
2004
image classification, image motion analysis,
learning (artificial intelligence), Markov processes
BibRef
Gao, M.F.[Ming-Fei],
Zhou, Y.B.[Ying-Bo],
Xu, R.[Ran],
Socher, R.[Richard],
Xiong, C.M.[Cai-Ming],
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos,
CVPR21(1915-1923)
IEEE DOI
2111
Training, Annotations, Scalability,
Real-time systems, Generators, Pattern recognition
BibRef
Gao, M.F.[Ming-Fei],
Xu, M.Z.[Ming-Ze],
Davis, L.S.[Larry S.],
Socher, R.[Richard],
Xiong, C.M.[Cai-Ming],
StartNet: Online Detection of Action Start in Untrimmed Videos,
ICCV19(5541-5550)
IEEE DOI
2004
feature extraction, gesture recognition,
image classification, image colour analysis,
Training data
BibRef
Wehrmann, J.,
Lopes, M.A.,
Souza, D.,
Barros, R.,
Language-Agnostic Visual-Semantic Embeddings,
ICCV19(5803-5812)
IEEE DOI
2004
Code, Visualization.
WWW Link. data visualisation, information retrieval,
learning (artificial intelligence),
Architecture
BibRef
Pramono, R.R.A.,
Chen, Y.,
Fang, W.,
Hierarchical Self-Attention Network for Action Localization in Videos,
ICCV19(61-70)
IEEE DOI
2004
cameras, clutter, convolutional neural nets, image capture,
image fusion, image motion analysis, image recognition, Training
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
Zhai, C.B.[Chang-Bo],
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],
Action Co-localization in an Untrimmed Video by Graph Neural Networks,
MMMod20(I:555-567).
Springer DOI
2003
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
Wang, W.N.[Wei-Ning],
Huang, Y.[Yan],
Wang, L.[Liang],
Language-Driven Temporal Activity Localization:
A Semantic Matching Reinforcement Learning Model,
CVPR19(334-343).
IEEE DOI
2002
BibRef
Li, H.,
Yang, J.,
Zhou, Y.,
Li, S.,
Rethinking Temporal Structure Modeling Method for Temporal Action
Localization,
ICIP19(3676-3680)
IEEE DOI
1910
Action localization, spatial-temporal feature,
video content analysis, supervised learning
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
Vial, R.,
Zhu, H.,
Tian, Y.,
Lu, S.,
Search video action proposal with recurrent and static YOLO,
ICIP17(2035-2039)
IEEE DOI
1803
Clutter, Detectors, Dynamic programming, Labeling, Object detection,
Proposals, Training, action detection, action localization,
video object proposal
BibRef
Shao, D.[Dian],
Xiong, Y.[Yu],
Zhao, Y.[Yue],
Huang, Q.Q.[Qing-Qiu],
Qiao, Y.[Yu],
Lin, D.[Dahua],
Find and Focus: Retrieve and Localize Video Events with Natural
Language Queries,
ECCV18(IX: 202-218).
Springer DOI
1810
BibRef
Sharir, G.[Gilad],
Tuytelaars, T.[Tinne],
Action in chains:
A chains model for action localization and classification,
WACV14(610-617)
IEEE DOI
1406
Computational modeling
BibRef
Ta, A.P.[Anh-Phuong],
Wolf, C.[Christian],
Lavoue, G.[Guillaume],
Baskurt, A.[Atilla],
Jolion, J.M.[Jean-Michel],
Pairwise Features for Human Action Recognition,
ICPR10(3224-3227).
IEEE DOI
1008
BibRef
And: A1, A2, A3, A4, Only:
Recognizing and Localizing Individual Activities through Graph Matching,
AVSS10(196-203).
IEEE DOI
1009
BibRef
Chapter on Motion -- Feature-Based, Long Range, Motion and Structure Estimates, Tracking, Surveillance, Activities continues in
Action Segmentation .