Song, H.[Hao],
Wu, X.X.[Xin-Xiao],
Zhu, B.[Bing],
Wu, Y.W.[Yu-Wei],
Chen, M.[Mei],
Jia, Y.D.[Yun-De],
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
Zhou, Z.L.[Zhi-Li],
Ding, C.[Chun],
Li, J.[Jin],
Mohammadi, E.[Eman],
Liu, G.C.[Guang-Can],
Yang, Y.M.[Yi-Min],
Wu, Q.M.J.[Q. M. Jonathan],
Sequential Order-Aware Coding-Based Robust Subspace Clustering for
Human Action Recognition in Untrimmed Videos,
IP(32), 2023, pp. 13-28.
IEEE DOI
2301
Videos, Codes, Feature extraction, Motion segmentation,
Clustering algorithms, Task analysis, Image coding, untrimmed video
BibRef
Jiang, Y.G.[Yu-Gang],
Li, Z.,
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
Hu, X.J.[Xue-Jiao],
Wang, S.J.[Shi-Jie],
Li, M.[Ming],
Li, Y.[Yang],
Du, S.[Sidan],
Distribution-Aware Activity Boundary Representation for Online
Detection of Action Start in Untrimmed Videos,
SPLetters(31), 2024, pp. 765-769.
IEEE DOI
2403
Location awareness, Videos, Training, Task analysis,
Representation learning, Standards, Uncertainty,
distribution-aware activity boundary
BibRef
Yan, S.[Sheng],
Liu, M.Y.[Meng-Yuan],
Wang, Y.[Yong],
Liu, Y.[Yang],
Liu, H.[Hong],
MLP: Motion Label Prior for Temporal Sentence Localization in
Untrimmed 3D Human Motions,
CirSysVideo(34), No. 11, November 2024, pp. 11535-11550.
IEEE DOI Code:
WWW Link.
2412
Location awareness, Training, Task analysis,
Semantics, Temporal grounding, human motion,
corpus moment retrieval
BibRef
Tang, Y.[Yi],
Chen, M.S.[Man-Sen],
Chen, L.P.[Le-Peng],
Wang, S.[Sen],
Liu, M.[Min],
Wang, Y.N.[Yao-Nan],
Liu, J.[Jun],
Information-Bottleneck-Guided Hybrid Neural Architecture Search for
Temporal Action Detection in Untrimmed Videos,
IP(35), 2026, pp. 8664-8677.
IEEE DOI Code:
WWW Link.
2608
Transformers, Architecture, Videos, Modeling,
Neural architecture search, Signal detection, Location awareness,
video understanding
BibRef
Geng, T.T.[Tian-Tian],
Wang, T.[Teng],
Duan, J.M.[Jin-Ming],
Cong, R.M.[Run-Min],
Zheng, F.[Feng],
Dense-Localizing Audio-Visual Events in Untrimmed Videos:
A Large-Scale Benchmark and Baseline,
CVPR23(22942-22951)
IEEE DOI
2309
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
Liu, Y.[Yuan],
Chen, J.Y.[Jing-Yuan],
Chen, Z.F.[Zhen-Fang],
Deng, B.[Bing],
Huang, J.Q.[Jian-Qiang],
Zhang, H.W.[Han-Wang],
The Blessings of Unlabeled Background in Untrimmed Videos,
CVPR21(6172-6181)
IEEE DOI
2111
Location awareness, Training, Visualization,
Smoothing methods, Computational modeling
BibRef
Alcázar, J.L.[Juan León],
Heilbron, F.C.[Fabian Caba],
Mai, L.[Long],
Perazzi, F.[Federico],
Lee, J.Y.[Joon-Young],
Arbeláez, P.[Pablo],
Ghanem<", B.[Bernard], /A1>,
APES: Audiovisual Person Search in Untrimmed Video,
MULA21(1720-1729)
IEEE DOI
2109
Visualization, Annotations,
Streaming media, Benchmark testing, Search problems
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
Arnab, A.[Anurag],
Sun, C.[Chen],
Nagrani, A.[Arsha],
Schmid, C.[Cordelia],
Uncertainty-aware Weakly Supervised Action Detection from Untrimmed
Videos,
ECCV20(X:751-768).
Springer DOI
2011
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
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
Bai, R.,
Zhao, Q.,
Zhou, S.,
Li, Y.,
Zhao, X.,
Wang, J.,
Continuous Action Recognition and Segmentation in Untrimmed Videos,
ICPR18(2534-2539)
IEEE DOI
1812
Videos, Feature extraction, Motion segmentation,
Hidden Markov models, Task analysis, Computer vision
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
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
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
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
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
Moltisanti, D.[Davide],
Fidler, S.[Sanja],
Damen, D.[Dima],
Action Recognition From Single Timestamp Supervision in Untrimmed
Videos,
CVPR19(9907-9916).
IEEE DOI
2002
BibRef
Chauhan, J.S.,
Wang, Y.,
Context-Aware Action Detection in Untrimmed Videos Using
Bidirectional LSTM,
CRV18(222-229)
IEEE DOI
1812
Videos, Logic gates, Task analysis, Standards,
Mathematical model, Microprocessors, action detection, LSTM, video analysis
BibRef
Shou, Z.[Zheng],
Pan, J.T.[Jun-Ting],
Chan, J.[Jonathan],
Miyazawa, K.[Kazuyuki],
Mansour, H.[Hassan],
Vetro, A.[Anthony],
Giro-i-Nieto, X.[Xavier],
Chang, S.F.[Shih-Fu],
Online Detection of Action Start in Untrimmed, Streaming Videos,
ECCV18(III: 551-568).
Springer DOI
1810
BibRef
Chapter on Motion -- Human Motion, Surveillance, Tracking, Surveillance, Activities continues in
Accumulation Methods, Motion Histograms for Human Action Recognition .