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We propose an effective two-stage approach to tackle the problem of language-based Human-centric Spatio-Temporal Video Grounding (HC-STVG) task.
A short note about kinetics-600
Joao Carreira, Eric Noland, Andras Banki-Horvath, Chloe Hillier, and Andrew Zisserman · 2018
Earlier work this paper cites.
Ava: A video dataset of spatio-temporally localized atomic visual actions
Chunhui Gu, Chen Sun, David A Ross, Carl Vondrick, Caroline Pantofaru, Yeqing Li, Sudheendra Vijayanarasimhan, George Toderici, Susanna Ricco, Rahul Sukthankar, et al · 2018
Earlier work this paper cites.
Slowfast networks for video recognition
Christoph Feichtenhofer, Haoqi Fan, Jitendra Malik, and Kaiming He · 2019
Earlier work this paper cites.
Learning 2d temporal adjacent networks for moment localization with natural language
Songyang Zhang, Houwen Peng, Jianlong Fu, and Jiebo Luo · 2020
Cited alongside, same era.
Efficient second-order TreeCRF for neural dependency parsing
Yu Zhang, Zhenghua Li, and Zhang Min · 2020
Cited alongside, same era.
Mdetr–modulated detection for end-to-end multi-modal understanding
Aishwarya Kamath, Mannat Singh, Yann LeCun, Ishan Misra, Gabriel Synnaeve, and Nicolas Carion · 2021
Closest in time.
Human-centric spatio-temporal video grounding with visual transformers
Zongheng Tang, Yue Liao, Si Liu, Guanbin Li, Xiaojie Jin, Hongxu Jiang, Qian Yu, and Dong Xu · 2021
Closest in time.
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