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We address the problem of video grounding from natural language queries.
Grounding action descriptions in videos
Michaela Regneri, Marcus Rohrbach, Dominikus Wetzel, Stefan Thater, Bernt Schiele, and Manfred Pinkal · 2013
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Large-scale video classification with convolutional neural networks
Andrej Karpathy, George Toderici, Sanketh Shetty, Thomas Leung, Rahul Sukthankar, and Li Fei-Fei · 2014
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Fast r-cnn
Ross Girshick · 2015
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Densebox: Unifying landmark localization with end to end object detection
Lichao Huang, Yi Yang, Yafeng Deng, and Yinan Yu · 2015
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
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Very deep convolutional networks for large-scale image recognition
Karen Simonyan and Andrew Zisserman · 2015
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Learning spatiotemporal features with 3d convolutional networks
Du Tran, Lubomir Bourdev, Rob Fergus, Lorenzo Torresani, and Manohar Paluri · 2015
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You only look once: Unified, real-time object detection
Joseph Redmon, Santosh Divvala, Ross Girshick, and Ali Farhadi · 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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Unitbox: An advanced object detection network
Jiahui Yu, Yuning Jiang, Zhangyang Wang, Zhimin Cao, and Thomas Huang · 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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Tall: Temporal activity localization via language query
Jiyang Gao, Chen Sun, Zhenheng Yang, and Ram Nevatia · 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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Feature pyramid networks for object detection
Tsung-Yi Lin, Piotr Dollár, Ross Girshick, Kaiming He, Bharath Hariharan, and Serge Belongie · 2017
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár · 2017
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Adversarial learning with local coordinate coding
Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, and Mingkui Tan · 2018
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Temporally grounding natural sentence in video
Jingyuan Chen, Xinpeng Chen, Lin Ma, Zequn Jie, and Tat-Seng Chua · 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
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Explainable neural computation via stack neural module networks
Ronghang Hu, Jacob Andreas, Trevor Darrell, and Kate Saenko · 2018
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Cornernet: Detecting objects as paired keypoints
Hei Law and Jia Deng · 2018
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Attentive moment retrieval in videos
Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, and Tat-Seng Chua · 2018
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Cross-modal moment localization in videos
Meng Liu, Xiang Wang, Liqiang Nie, Qi Tian, Baoquan Chen, and Tat-Seng Chua · 2018
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Nat: Neural architecture transformer for accurate and compact architectures
Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, and Junzhou Huang · 2019
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Read, watch, and move: Reinforcement learning for temporally grounding natural language descriptions in videos
Dongliang He, Xiang Zhao, Jizhou Huang, Fu Li, Xiao Liu, and Shilei Wen · 2019
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Foveabox: Beyond anchor-based object detector
Tao Kong, Fuchun Sun, Huaping Liu, Yuning Jiang, and Jianbo Shi · 2019
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Fcos: Fully convolutional one-stage object detection
Zhi Tian, Chunhua Shen, Hao Chen, and Tong He · 2019
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Language-driven temporal activity localization: A semantic matching reinforcement learning model
Weining Wang, Yan Huang, and Liang Wang · 2019
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Discrimination-aware channel pruning for deep neural networks
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Breaking winner-takes-all: Iterative-winners-out networks for weakly supervised temporal action localization
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Graph convolutional networks for temporal action localization
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Man: Moment alignment network for natural language moment retrieval via iterative graph adjustment
Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, and Larry S Davis · 2019
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From whole slide imaging to microscopy: Deep microscopy adaptation network for histopathology cancer image classification
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Collaborative unsupervised domain adaptation for medical image diagnosis
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Cross-modal interaction networks for query-based moment retrieval in videos
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Multi-way backpropagation for training compact deep neural networks
Yong Guo, Jian Chen, Qing Du, Anton Van Den Hengel, Qinfeng Shi, and Mingkui Tan · 2020
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Location-aware graph convolutional networks for video question answering
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