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Imagenet: A large-scale hierarchical image database
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai Li, and Li Fei-Fei · 2009
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Vision: A computational investigation into the human representation and processing of visual information
David Marr · 2010
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Learning to recognize objects in egocentric activities
Alireza Fathi, Xiaofeng Ren, and James M Rehg · 2011
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Combining embedded accelerometers with computer vision for recognizing food preparation activities
Sebastian Stein and Stephen J McKenna · 2013
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The language of actions: Recovering the syntax and semantics of goal-directed human activities
Hilde Kuehne, Ali Arslan, and Thomas Serre · 2014
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Two-stream convolutional networks for action recognition in videos
Karen Simonyan and Andrew Zisserman · 2014
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Activitynet: A large-scale video benchmark for human activity understanding
Bernard Ghanem Fabian Caba Heilbron, Victor Escorcia and Juan Carlos Niebles · 2015
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Spatial pyramid pooling in deep convolutional networks for visual recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2015
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U-net: Convolutional networks for biomedical image segmentation
Olaf Ronneberger, Philipp Fischer, and Thomas Brox · 2015
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Hcp: A flexible cnn framework for multi-label image classification
Yunchao Wei, Wei Xia, Min Lin, Junshi Huang, Bingbing Ni, Jian Dong, Yao Zhao, and Shuicheng Yan · 2015
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
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Temporal action localization in untrimmed videos via multi-stage cnns
Zheng Shou, Dongang Wang, and Shih-Fu Chang · 2016
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Hollywood in homes: Crowdsourcing data collection for activity understanding
Gunnar A Sigurdsson, Gül Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta · 2016
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Temporal segment networks: Towards good practices for deep action recognition
Limin Wang, Yuanjun Xiong, Zhe Wang, Yu Qiao, Dahua Lin, Xiaoou Tang, and Luc Van Gool · 2016
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Temporal action localization with pyramid of score distribution features
Jun Yuan, Bingbing Ni, Xiaokang Yang, and Ashraf A Kassim · 2016
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Quo vadis, action recognition? a new model and the kinetics dataset
Joao Carreira and Andrew Zisserman · 2017
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Audio set: An ontology and human-labeled dataset for audio events
Jort F Gemmeke, Daniel PW Ellis, Dylan Freedman, Aren Jansen, Wade Lawrence, R Channing Moore, Manoj Plakal, and Marvin Ritter · 2017
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Dense-captioning events in videos
Ranjay Krishna, Kenji Hata, Frederic Ren, Li Fei-Fei, and Juan Carlos Niebles · 2017
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Cdc: Convolutional-de-convolutional networks for precise temporal action localization in untrimmed videos
Zheng Shou, Jonathan Chan, Alireza Zareian, Kazuyuki Miyazawa, and Shih-Fu Chang · 2017
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Untrimmednets for weakly supervised action recognition and detection
Limin Wang, Yuanjun Xiong, Dahua Lin, and Luc Van Gool · 2017
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Rethinking the faster r-cnn architecture for temporal action localization
Yu-Wei Chao, Sudheendra Vijayanarasimhan, Bryan Seybold, David A Ross, Jia Deng, and Rahul Sukthankar · 2018
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Weakly supervised action localization by sparse temporal pooling network
Phuc Nguyen, Ting Liu, Gautam Prasad, and Bohyung Han · 2018
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Mobilenetv2: Inverted residuals and linear bottlenecks
Mark Sandler, Andrew Howard, Menglong Zhu, Andrey Zhmoginov, and Liang-Chieh Chen · 2018
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Autoloc: Weakly-supervised temporal action localization in untrimmed videos
Zheng Shou, Hang Gao, Lei Zhang, Kazuyuki Miyazawa, and Shih-Fu Chang · 2018
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Audio-visual event localization in unconstrained videos
Yapeng Tian, Jing Shi, Bochen Li, Zhiyao Duan, and Chenliang Xu · 2018
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A closer look at spatiotemporal convolutions for action recognition
Du Tran, Heng Wang, Lorenzo Torresani, Jamie Ray, Yann LeCun, and Manohar Paluri · 2018
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Graph attention networks
Petar Veličković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Liò, and Yoshua Bengio · 2018
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Audio visual scene-aware dialog
Huda Alamri, Vincent Cartillier, Abhishek Das, Jue Wang, Anoop Cherian, Irfan Essa, Dhruv Batra, Tim K Marks, Chiori Hori, Peter Anderson, et al · 2019
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Learning semantic-specific graph representation for multi-label image recognition
Tianshui Chen, Muxin Xu, Xiaolu Hui, Hefeng Wu, and Liang Lin · 2019
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Multi-label image recognition with graph convolutional networks
Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, and Yanwen Guo · 2019
Towards long-form video understanding
Chao-Yuan Wu and Philipp Krahenbuhl · 2021
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Exploring heterogeneous clues for weakly-supervised audio-visual video parsing
Yu Wu and Yi Yang · 2021
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Long short-term transformer for online action detection
Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Xia, Zhuowen Tu, and Stefano Soatto · 2021
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Pano-avqa: Grounded audio-visual question answering on 360deg videos
Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, and Gunhee Kim · 2021
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Positive sample propagation along the audio-visual event line
Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, and Meng Wang · 2021
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Long-short transformer: Efficient transformers for language and vision
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Cited alongside, same era.
Slowfast networks for video recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2019
Cited alongside, same era.
Epic-fusion: Audio-visual temporal binding for egocentric action recognition
Evangelos Kazakos, Arsha Nagrani, Andrew Zisserman, and Dima Damen · 2019
Cited alongside, same era.
Tsm: Temporal shift module for efficient video understanding
Ji Lin, Chuang Gan, and Song Han · 2019
Cited alongside, same era.
Watch, listen and tell: Multi-modal weakly supervised dense event captioning
Tanzila Rahman, Bicheng Xu, and Leonid Sigal · 2019
Cited alongside, same era.
Coin: A large-scale dataset for comprehensive instructional video analysis
Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, and Jie Zhou · 2019
Cited alongside, same era.
Dual attention matching for audio-visual event localization
Yu Wu, Linchao Zhu, Yan Yan, and Yi Yang · 2019
Cited alongside, same era.
Chen Zhu, Wei Ping, Chaowei Xiao, Mohammad Shoeybi, Tom Goldstein, Anima Anandkumar, and Bryan Catanzaro · 2021
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Mm-vit: Multi-modal video transformer for compressed video action recognition
Jiawei Chen and Chiu Man Ho · 2022
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Rescaling egocentric vision: collection, pipeline and challenges for epic-kitchens-100
Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Antonino Furnari, Evangelos Kazakos, Jian Ma, Davide Moltisanti, Jonathan Munro, Toby Perrett, Will Price, et al · 2022
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Two-stream transformer architecture for long video understanding
Edward Fish, Jon Weinbren, and Andrew Gilbert · 2022
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Weakly supervised temporal action localization via representative snippet knowledge propagation
Linjiang Huang, Liang Wang, and Hongsheng Li · 2022
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Dhhn: Dual hierarchical hybrid network for weakly-supervised audio-visual video parsing
Xun Jiang, Xing Xu, Zhiguo Chen, Jingran Zhang, Jingkuan Song, Fumin Shen, Huimin Lu, and Heng Tao Shen · 2022
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Learning to answer questions in dynamic audio-visual scenarios
Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, and Di Hu · 2022
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Video swin transformer
Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, and Han Hu · 2022
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Mad: A scalable dataset for language grounding in videos from movie audio descriptions
Mattia Soldan, Alejandro Pardo, Juan León Alcázar, Fabian Caba, Chen Zhao, Silvio Giancola, and Bernard Ghanem · 2022
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Long-form video-language pre-training with multimodal temporal contrastive learning
Yuchong Sun, Hongwei Xue, Ruihua Song, Bei Liu, Huan Yang, and Jianlong Fu · 2022
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Memvit: Memory-augmented multiscale vision transformer for efficient long-term video recognition
Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, and Christoph Feichtenhofer · 2022
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Acgnet: Action complement graph network for weakly-supervised temporal action localization
Zichen Yang, Jie Qin, and Di Huang · 2022
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Actionformer: Localizing moments of actions with transformers
Chen-Lin Zhang, Jianxin Wu, and Yin Li · 2022
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Jinxing Zhou, Jianyuan Wang, Jiayi Zhang, Weixuan Sun, Jing Zhang, Stan Birchfield, Dan Guo, Lingpeng Kong, Meng Wang, and Yiran Zhong · 2022
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Dense-localizing audio-visual events in untrimmed videos: A large-scale benchmark and baseline
Tiantian Geng, Teng Wang, Jinming Duan, Runmin Cong, and Feng Zheng · 2023
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Egocentric audio-visual object localization
Chao Huang, Yapeng Tian, Anurag Kumar, and Chenliang Xu · 2023
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EPIC-SOUNDS: A Large-Scale Dataset of Actions that Sound
Jaesung Huh, Jacob Chalk, Evangelos Kazakos, Dima Damen, and Andrew Zisserman · 2023
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Logo: A long-form video dataset for group action quality assessment
Shiyi Zhang, Wenxun Dai, Sujia Wang, Xiangwei Shen, Jiwen Lu, Jie Zhou, and Yansong Tang · 2023
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