Can humans fly? Action understanding with multiple classes of actors

Keywords

Action (physics), Computer science, Inference, Argument (complex analysis), Artificial intelligence

References

• Urban 3D semantic modelling using stereo visionSunando Sengupta, Eric Greveson, Ali Shahrokni — 2013
• Joint segmentation and classification of human actions in videoMinh Hoai, Zhenzhong Lan, Fernando De la Torre — 2011
• Recognizing 50 human action categories of web videosK. Krishna Reddy, Mubarak Shah — 2013
• Key-segments for video object segmentationYong Jae Lee, Jaechul Kim, Kristen Grauman — 2011
• Action Localization with Tubelets from MotionMihir Jain, Jan van Gemert, Hervé Jeǵou — 2014
• Joint Optimization for Object Class Segmentation and Dense Stereo ReconstructionĽubor Ladický, Paul Sturgess, Chris Russell — 2011
• On Space-Time Interest PointsIvan Laptev — 2005
• Towards Understanding Action RecognitionHueihan Jhuang, Jüergen Gall, Silvia Zuffi — 2013
• Parsing video events with goal inference and intent predictionMingtao Pei, Yunde Jia, Song‐Chun Zhu — 2011
• Joint 2D-3D temporally consistent semantic segmentation of street scenesGeorgios Floros, Bastian Leibe — 2012
• Recognition using visual phrasesMohammad Amin Sadeghi, Ali Farhadi — 2011
• TextonBoost for Image Understanding: Multi-Class Object Recognition and Segmentation by Jointly Modeling Texture, Layout, and ContextJamie Shotton, John Winn, Carsten Rother — 2007
• Action bank: A high-level representation of activity in videoSiddharth Sadanand, Jason J. Corso — 2012
• Recognizing human actions by attributesJingen Liu, Benjamin Kuipers, Silvio Savarese — 2011
• Dense Trajectories and Motion Boundary Descriptors for Action RecognitionHeng Wang, Alexander Kläser, Cordelia Schmid — 2013
• Evaluation of super-voxel methods for early video processingChenliang Xu, Jason J. Corso — 2012
• First-Person Animal Activity Recognition from Egocentric VideosYumi Iwashita, Asamichi Takamine, Ryo Kurazume — 2014
• Dense Semantic Image Segmentation with Objects and AttributesShuai Zheng, Ming‐Ming Cheng, Jonathan Warrell — 2014
• SuperparsingJoseph Tighe, Svetlana Lazebnik — 2010
• Visual Semantic Search: Retrieving Videos via Complex Textual QueriesDahua Lin, Sanja Fidler, Chen Kong — 2014

Cited by

• A Review of Human Activity Recognition MethodsMichalis Vrigkas, Christophoros Nikou, Ioannis A. Kakadiaris — 2015
• cvpaper.challenge in 2015 - A review of CVPR2015 and DeepSurveyHirokatsu Kataoka, Yudai Miyashita, Tomoaki K. Yamabe — 2016
• Harnessing Object and Scene Semantics for Large-Scale Video UnderstandingZuxuan Wu, Yanwei Fu, Yu–Gang Jiang — 2016
• How scenes imply actions in realistic videos?Hongsong Wang, Wei Wang, Liang Wang — 2016
• Motion in action : optical flow estimation and action localization in videos. (Le mouvement en action : estimation du flot optique et localisation d'actions dans les vidéos)Philippe Weinzaepfel — 2016
• Action Understanding with Multiple Classes of ActorsChenliang Xu, Caiming Xiong, Jason J. Corso — 2017
• Weakly Supervised Actor-Action Segmentation via Robust Multi-task RankingYan Yan, Chenliang Xu, Dawen Cai — 2017
• cvpaper.challenge in 2016: Futuristic Computer Vision through 1, 600 Papers SurveyHirokatsu Kataoka, Soma Shirakabe, Yun He — 2017
• Joint Learning of Object and Action DetectorsVicky Kalogeiton, Philippe Weinzaepfel, Vittorio Ferrari — 2017
• Cross-Agent Action RecognitionHongsong Wang, Liang Wang — 2018
• Real-Time Action Detection in Video Surveillance using Sub-Action Descriptor with Multi-CNNCheng‐Bin Jin, Shengzhe Li, Hakil Kim — 2017
• Learning Deep Spatio-Temporal Dependence for Semantic Video SegmentationZhaofan Qiu, Ting Yao, Tao Mei — 2018
• Localizing spatially and temporally objects and actions in videos. (Localiser spatio-temporallement des objets et des actions dans des vidéos)Vicky Kalogeiton — 2018
• Actor and Action Video Segmentation from a SentenceKirill Gavrilyuk, Amir Ghodrati, Zhenyang Li — 2018
• Guess Where? Actor-Supervision for Spatiotemporal Action LocalizationVíctor Escorcia, Cuong Duc Dao, Mihir Jain — 2018
• Actor-Action Semantic Segmentation with Region MasksKang Dang, Chunluan Zhou, Zhigang Tu — 2018
• SPFTN: A Joint Learning Framework for Localizing and Segmenting Objects in Weakly Labeled VideosDingwen Zhang, Junwei Han, Le Yang — 2020
• Multi-modal Capsule Routing for Actor and Action Video Segmentation Conditioned on Natural Language QueriesBruce McIntosh, Kevin Duarte, Yogesh Singh Rawat — 2018
• Weakly Supervised Learning of Heterogeneous Concepts in VideosSohil Shah, Kuldeep Kulkarni, Arijit Biswas — 2016
• Efficient Localization of Human Actions and Moments in VideosVictor Escorcia — 2019

Related papers

• Trudy Govier and Premise AdequacyDerek Allen — 2013
• Subjective Rationality and the Reasoning ArgumentErhan Demircioğlu — 2023
• Verification: The Hysteron Proteron ArgumentFrancis Jeffry Pelletier, Bernard Linsky — 2018
• The Analysis of Trial Mode Concerning Oral Argument:From the Perspective of Procedural EfficiencyLI Xi-lia — 2009
• The Third Man ArgumentDr Bailey — 2009
• Human-like action recognition system on whole body motion-captured fileTaketoshi Mori, K. Tsujioka, Takehiro Sato — 2001
• Human-Like Daily Action Recognition ModelTaketoshi Mori, K. Tsujioka — 2005