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Seeking answers effectively for long videos is essential to build video question answering (videoQA) systems.
An algorithm for the machine calculation of complex fourier series
James W Cooley and John W Tukey. 1965 · 1965
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Movieqa: Understanding stories in movies through question-answering
Makarand Tapaswi, Yukun Zhu, Rainer Stiefelhagen, Antonio Torralba, Raquel Urtasun, and Sanja Fidler. 2016 · 2016
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Tgif-qa: Toward spatio-temporal reasoning in visual question answering
Yunseok Jang, Yale Song, Youngjae Yu, Youngjin Kim, and Gunhee Kim. 2017 · 2017
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Ai2-thor: An interactive 3d environment for visual ai
Eric Kolve, Roozbeh Mottaghi, Winson Han, Eli VanderBilt, Luca Weihs, Alvaro Herrasti, Matt Deitke, Kiana Ehsani, Daniel Gordon, Yuke Zhu, et al. 2017 · 2017
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Video question answering via gradually refined attention over appearance and motion
Dejing Xu, Zhou Zhao, Jun Xiao, Fei Wu, Hanwang Zhang, Xiangnan He, and Yueting Zhuang. 2017 · 2017
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Tvqa: Localized, compositional video question answering
Jie Lei, Licheng Yu, Mohit Bansal, and Tamara Berg. 2018 · 2018
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Open-ended long-form video question answering via adaptive hierarchical reinforced networks
Zhou Zhao, Zhu Zhang, Shuwen Xiao, Zhou Yu, Jun Yu, Deng Cai, Fei Wu, and Yueting Zhuang. 2018 · 2018
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Beyond rnns: Positional self-attention with co-attention for video question answering
Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, et al. 2019 · 2019
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Partial optimal tranport with applications on positive-unlabeled learning
Laetitia Chapel, Mokhtar Z Alaya, and Gilles Gasso. 2020 · 2020
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Tvqa+: Spatio-temporal grounding for video question answering
Jie Lei, Licheng Yu, Tamara Berg, and Mohit Bansal. 2020 · 2020
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Frozen in time: A joint video and image encoder for end-to-end retrieval
Max Bain, Arsha Nagrani, Gül Varol, and Andrew Zisserman. 2021 · 2021
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Env-qa: A video question answering benchmark for comprehensive understanding of dynamic environments
Difei Gao, Ruiping Wang, Ziyi Bai, and Xilin Chen. 2021 · 2021
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Agqa: A benchmark for compositional spatio-temporal reasoning
Madeleine Grunde-McLaughlin, Ranjay Krishna, and Maneesh Agrawala. 2021 · 2021
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Efficiently modeling long sequences with structured state spaces
Albert Gu, Karan Goel, and Christopher Ré. 2021 · 2021
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Scaling up visual and vision-language representation learning with noisy text supervision
Chao Jia, Yinfei Yang, Ye Xia, Yi-Ting Chen, Zarana Parekh, Hieu Pham, Quoc Le, Yun-Hsuan Sung, Zhen Li, and Tom Duerig. 2021 · 2021
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Assistsr: Affordance-centric question-driven video segment retrieval
Stan Weixian Lei, Yuxuan Wang, Dongxing Mao, Difei Gao, and Mike Zheng Shou. 2021 · 2021
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Contrastive learning for neural topic model
Thong Nguyen and Anh Tuan Luu. 2021 · 2021
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Enriching and controlling global semantics for text summarization
Thong Nguyen, Anh Tuan Luu, Truc Lu, and Tho Quan. 2021 · 2021
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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021 · 2021
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Learning relation alignment for calibrated cross-modal retrieval
Shuhuai Ren, Junyang Lin, Guangxiang Zhao, Rui Men, An Yang, Jingren Zhou, Xu Sun, and Hongxia Yang. 2021 · 2021
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Star: A benchmark for situated reasoning in real-world videos
Bo Wu, Shoubin Yu, Zhenfang Chen, Joshua B Tenenbaum, and Chuang Gan. 2021 · 2021
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Cross-modal attention congruence regularization for vision-language relation alignment
Rohan Pandey, Rulin Shao, Paul Pu Liang, Ruslan Salakhutdinov, and Louis-Philippe Morency. 2022 · 2022
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Multimodal learning using optimal transport for sarcasm and humor detection
Shraman Pramanick, Aniket Roy, and Vishal M Patel. 2022 · 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 · 2022
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Video as conditional graph hierarchy for multi-granular question answering
Junbin Xiao, Angela Yao, Zhiyuan Liu, Yicong Li, Wei Ji, and Tat-Seng Chua. 2022 · 2022
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Merlot reserve: Neural script knowledge through vision and language and sound
Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, and Yejin Choi. 2022 · 2022
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Towards long-form video understanding
Chao-Yuan Wu and Philipp Krahenbuhl. 2021 · 2021
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Next-qa: Next phase of question-answering to explaining temporal actions
Junbin Xiao, Xindi Shang, Angela Yao, and Tat-Seng Chua. 2021 · 2021
Cited alongside, same era.
Just ask: Learning to answer questions from millions of narrated videos
Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, and Cordelia Schmid. 2021 · 2021
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Flamingo: a visual language model for few-shot learning
Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, et al. 2022 · 2022
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Revisiting the" video" in video-language understanding
Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, and Juan Carlos Niebles. 2022 · 2022
Cited alongside, same era.
Measuring compositional consistency for video question answering
Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, and Maneesh Agrawala. 2022 · 2022
Cited alongside, same era.
Ego4d: Around the world in 3,000 hours of egocentric video
Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, et al. 2022 · 2022
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Efficient long sequence modeling via state space augmented transformer
Simiao Zuo, Xiaodong Liu, Jian Jiao, Denis Charles, Eren Manavoglu, Tuo Zhao, and Jianfeng Gao. 2022 · 2022
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Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, et al. 2023 · 2023
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An empirical study of end-to-end video-language transformers with masked visual modeling
Tsu-Jui Fu, Linjie Li, Zhe Gan, Kevin Lin, William Yang Wang, Lijuan Wang, and Zicheng Liu. 2023 · 2023
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Mist: Multi-modal iterative spatial-temporal transformer for long-form video question answering
Difei Gao, Luowei Zhou, Lei Ji, Linchao Zhu, Yi Yang, and Mike Zheng Shou. 2023 · 2023
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Egoschema: A diagnostic benchmark for very long-form video language understanding
Karttikeya Mangalam, Raiymbek Akshulakov, and Jitendra Malik. 2023 · 2023
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Improving multimodal sentiment analysis: Supervised angular margin-based contrastive learning for enhanced fusion representation
Cong-Duy Nguyen, Thong Nguyen, Duc Vu, and Anh Luu. 2023a · 2023
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Demaformer: Damped exponential moving average transformer with energy-based modeling for temporal language grounding
Thong Nguyen, Xiaobao Wu, Xinshuai Dong, Cong-Duy Nguyen, See Kiong Ng, and Anh Luu. 2023d · 2023
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All in one: Exploring unified video-language pre-training
Jinpeng Wang, Yixiao Ge, Rui Yan, Yuying Ge, Kevin Qinghong Lin, Satoshi Tsutsui, Xudong Lin, Guanyu Cai, Jianping Wu, Ying Shan, et al. 2023 · 2023
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Contrastive video question answering via video graph transformer
Junbin Xiao, Pan Zhou, Angela Yao, Yicong Li, Richang Hong, Shuicheng Yan, and Tat-Seng Chua. 2023 · 2023
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Video recap: Recursive captioning of hour-long videos
Md Mohaiminul Islam, Ngan Ho, Xitong Yang, Tushar Nagarajan, Lorenzo Torresani, and Gedas Bertasius. 2024 · 2024
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