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The temporal sentence grounding in video (TSGV) task is to locate a temporal moment from an untrimmed video, to match a language query, i.e., a sentence.
ExCL: Extractive Clip Localization Using Natural Language Descriptions
Soham Ghosh, Anuva Agarwal, Zarana Parekh, and Alexander Hauptmann. 2019 · 1990
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Yijun Song, Jingwen Wang, Lin Ma, Zhou Yu, and Jun Yu. 2020 · 2003
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Glove: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014 · 2014
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2015 · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri. 2015 · 2015
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Quo vadis, action recognition? a new model and the kinetics dataset
João Carreira and Andrew Zisserman. 2017 · 2017
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Tall: Temporal activity localization via language query
Jiyang Gao, Chen Sun, Zhenheng Yang, and Ramakant Nevatia. 2017 · 2017
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Making the v in vqa matter: Elevating the role of image understanding in visual question answering
Yash Goyal, Tejas Khot, Douglas Summers-Stay, Dhruv Batra, and Devi Parikh. 2017 · 2017
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Localizing moments in video with natural language
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, and Bryan C. Russell. 2017 · 2017
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Dense-captioning events in videos
R. Krishna, K. Hata, F. Ren, L. Fei-Fei, and J. C. Niebles. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Don’t just assume; look and answer: Overcoming priors for visual question answering
Aishwarya Agrawal, Dhruv Batra, Devi Parikh, and Aniruddha Kembhavi. 2018 · 2018
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Temporally grounding natural sentence in video
Jingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie, and Tat-Seng Chua. 2018 · 2018
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Weakly supervised dense event captioning in videos
Xuguang Duan, Wenbing Huang, Chuang Gan, Jingdong Wang, Wenwu Zhu, and Junzhou Huang. 2018 · 2018
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Localizing moments in video with temporal language
Lisa Anne Hendricks, Oliver Wang, Eli Shechtman, Josef Sivic, Trevor Darrell, and Bryan Russell. 2018 · 2018
Cited alongside, same era.
Overcoming language priors in visual question answering with adversarial regularization
Sainandan Ramakrishnan, Aishwarya Agrawal, and Stefan Lee. 2018 · 2018
Cited alongside, same era.
Rubi: Reducing unimodal biases for visual question answering
Remi Cadene, Corentin Dancette, Hedi Ben younes, Matthieu Cord, and Devi Parikh. 2019 · 2019
Cited alongside, same era.
Semantic proposal for activity localization in videos via sentence query
Shaoxiang Chen and Yu-Gang Jiang. 2019 · 2019
Cited alongside, same era.
Don’t take the easy way out: Ensemble based methods for avoiding known dataset biases
Christopher Clark, Mark Yatskar, and Luke Zettlemoyer. 2019 · 2019
Cited alongside, same era.
WSLLN:weakly supervised natural language localization networks
Learning to contrast the counterfactual samples for robust visual question answering
Zujie Liang, Weitao Jiang, Haifeng Hu, and Jiaying Zhu. 2020 · 2020
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Weakly-supervised video moment retrieval via semantic completion network
Zhijie Lin, Zhou Zhao, Zhu Zhang, Qi Wang, and Huasheng Liu. 2020 · 2020
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Uncovering hidden challenges in query-based video moment retrieval
Mayu Otani, Yuta Nakahima, Esa Rahtu, and Janne Heikkilä. 2020 · 2020
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Temporally grounding language queries in videos by contextual boundary-aware prediction
Jingwen Wang, Lin Ma, and Wenhao Jiang. 2020 · 2020
Later among the works it cites.
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Mingfei Gao, Larry Davis, Richard Socher, and Caiming Xiong. 2019 · 2019
Cited alongside, same era.
Mac: Mining activity concepts for language-based temporal localization
Runzhou Ge, Jiyang Gao, Kan Chen, and Ram Nevatia. 2019 · 2019
Cited alongside, same era.
Adversarial regularization for visual question answering: Strengths, shortcomings, and side effects
Gabriel Grand and Yonatan Belinkov. 2019 · 2019
Cited alongside, same era.
Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, and Shilei Wen. 2019 · 2019
Cited alongside, same era.
DEBUG: A dense bottom-up grounding approach for natural language video localization
Chujie Lu, Long Chen, Chilie Tan, Xiaolin Li, and Jun Xiao. 2019 · 2019
Cited alongside, same era.
Weakly supervised video moment retrieval from text queries
Niluthpol Chowdhury Mithun, Sujoy Paul, and Amit K. Roy-Chowdhury. 2019 · 2019
Cited alongside, same era.
Language-driven temporal activity localization: A semantic matching reinforcement learning model
Weining Wang, Yan Huang, and Liang Wang. 2019 · 2019
Cited alongside, same era.
Jie Wu, Guanbin Li, Si Liu, and Liang Lin. 2020 · 2020
Later among the works it cites.
Dense regression network for video grounding
Runhao Zeng, Haoming Xu, Wenbing Huang, Peihao Chen, Mingkui Tan, and Chuang Gan. 2020 · 2020
Later among the works it cites.
Proposal-free video grounding with contextual pyramid network
Kun Li, Dan Guo, and Meng Wang. 2021 · 2021
Closest in time.
Interventional video grounding with dual contrastive learning
Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, and Wei Lu. 2021 · 2021
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Boundary proposal network for two-stage natural language video localization
Shaoning Xiao, Long Chen, Songyang Zhang, Wei Ji, Jian Shao, Lu Ye, and Jun Xiao. 2021 · 2021
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A closer look at temporal sentence grounding in videos: Datasets and metrics
Yitian Yuan, Xiaohan Lan, Long Chen, Wei Liu, and Wenwu Zhu. 2021 · 2021
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Parallel attention network with sequence matching for video grounding
Hao Zhang, Aixin Sun, Wei Jing, Liangli Zhen, Joey Tianyi Zhou, and Siow Mong Rick Goh. 2021c · 2021
Closest in time.
Embracing uncertainty: Decoupling and de-bias for robust temporal grounding
Hao Zhou, Chongyang Zhang, Yan Luo, Yanjun Chen, and Chuanping Hu. 2021 · 2021
Closest in time.
Logan: Latent graph co-attention network for weakly-supervised video moment retrieval
Reuben Tan, Huijuan Xu, Kate Saenko, and Bryan A. Plummer. 2021 · 2092
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