UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Keywords

CLIPS, Upload, Computer science, Action recognition, Artificial intelligence

References

• Perceiving events and objectsGunnar Jansson — 2013
• Recognizing 50 human action categories of web videosK. Krishna Reddy, Mubarak Shah — 2013
• Actions as space-time shapesMiri Blank, Lena Gorelick, Eli Shechtman — 2005
• Recognizing realistic actions from videos “in the wild”Jingen Liu, Jiebo Luo, Mubarak Shah — 2009
• Action MACH a spatio-temporal Maximum Average Correlation Height filter for action recognitionMikel Rodríguez, Javed Ahmed, Mubarak Shah — 2008
• HMDB: A large video database for human motion recognitionHilde Kuehne, Hueihan Jhuang, Estíbaliz Garrote — 2011
• Actions in contextMarcin Marszałek, Ivan Laptev, Cordelia Schmid — 2009
• Action Recognition from Arbitrary Views using 3D ExemplarsDaniel Weinland, Edmond Boyer, Rémi Ronfard — 2007
• Recognizing human actions: a local SVM approachChristian Schüldt, Ivan Laptev, Barbara Caputo — 2004
• Detecting Carried Objects in Short Video SequencesD. Damen, David C. Hogg — 2008
• Modeling Temporal Structure of Decomposable Motion Segments for Activity ClassificationJuan Carlos Niebles, Chih-Wei Chen, Li Fei-Fei — 2010
• Action Recognition from Arbitrary Views using 3 D ExemplarsDaniel Weinland — 2007

Cited by

• Employing automatic content recognition for teaching methodology analysis in classroom videosMonique Dorizon — 2022
• Intelligent Data Engineering and Automated Learning – IDEAL 2020: 21st International Conference, Guimaraes, Portugal, November 4–6, 2020, Proceedings, Part IIAnalide, Cesar, Novais, Paulo, Camacho, David — 2020
• Feature sampling and partitioning for visual vocabulary generation on large action classification datasetsMichael Sapienza, Fabio Cuzzolin, Philip H. S. Torr — 2014
• The Johns Hopkins University multimodal dataset for human action recognitionThomas S. Murray, Daniel R. Mendat, Philippe O. Pouliquen — 2015
• Learning Temporal Embeddings for Complex Video AnalysisVignesh Ramanathan, Kevin Tang, Greg Mori — 2015
• Automatic visual detection of human behavior: A review from 2000 to 2014Palwasha Afsar, Paulo Cortez, Henrique Santos — 2015
• Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in VideoLionel Pigou, Aäron van den Oord, Sander Dieleman — 2015
• Cross Modal Distillation for Supervision TransferSaurabh Gupta, Judy Hoffman, Jitendra Malik — 2015
• Towards Good Practices for Very Deep Two-Stream ConvNetsLimin Wang, Yuanjun Xiong, Zhe Wang — 2015
• Unsupervised Semantic Parsing of Video CollectionsOzan Şener, Amir Zamir, Silvio Savarese — 2015
• Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action RecognitionChuang Gan, Ming Lin, Yi Yang — 2015
• Supervised Learning Approaches for Automatic Structuring of Videos. (Méthodes d'apprentissage supervisé pour la structuration automatique de vidéos)Danila Potapov — 2015
• A Robust and Efficient Video Representation for Action RecognitionHeng Wang, Dan Oneaţă, Jakob Verbeek — 2015
• The Best of BothWorlds: Combining Data-Independent and Data-Driven Approaches for Action RecognitionZhenzhong Lan, Shoou-I Yu, Dezhong Yao — 2015
• Efficient large-scale action recognition in videos using extreme learning machinesGül Varol, Albert Ali Salah — 2015
• A modified vector of locally aggregated descriptors approach for fast video classificationIonuţ Mironică, Ionuţ Cosmin Duţă, Bogdan Ionescu — 2016
• Ordered trajectories for human action recognition with large number of classesO.V. Ramana Murthy, Roland Goecke — 2015
• Video Description Generation Incorporating Spatio-Temporal Features and a Soft-Attention MechanismYao Li, Atousa Torabi, Kyunghyun Cho — 2015
• Categorizing Big Video Data on the Web: Challenges and OpportunitiesYu–Gang Jiang — 2015
• Efficient and effective human action recognition in video through motion boundary description with a compact set of trajectoriesJeong-Jik Seo, Jisoo Son, Hyung-Il Kim — 2015

Related papers

• The Kinetics Human Action Video DatasetWill Kay, João Carreira, Karen Simonyan — 2017
• Convolutional Two-Stream Network Fusion for Video Action RecognitionChristoph Feichtenhofer, Axel Pinz, Andrew Zisserman — 2016
• Deep Residual Learning for Image RecognitionKaiming He, Xiangyu Zhang, Shaoqing Ren — 2015
• ImageNet classification with deep convolutional neural networksAlex Krizhevsky, Ilya Sutskever, Geoffrey E. Hinton — 2012
• Two-Stream Convolutional Networks for Action Recognition in VideosKaren Simonyan, Andrew Zisserman — 2014
• Learning realistic human actions from moviesIvan Laptev, Marcin Marszałek, Cordelia Schmid — 2008
• HMDB: A large video database for human motion recognitionHilde Kuehne, Hueihan Jhuang, Estíbaliz Garrote — 2011