Awesome-Temporally-Language-Grounding
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20 hours ago •
WuJie1010
WuJie1010
A curated list of “Temporally Language Grounding” and related area
Awesome-Temporally-Language-Grounding
A curated list of “Temporally Language Grounding” and related area
Table of Contents
-
Papers
- 2017 - 2018 - 2019
- Dataset
-
Popular Implementations
- PyTorch
- TensorFlow
Papers
2017
-
TALL: Temporal Activity Localization via Language Query - Gao et al,
ICCV 2017. [code1] [code2] -
Localizing Moments in Video with Natural Language - Hendricks et al,
ICCV 2017. [code]
2018
-
Localizing Moments in Video with Temporal Language - Hendricks et al,
EMNLP 2018. -
MAC: Mining Activity Concepts for Language-based Temporal Localization - Ge et al,
WACV 2018. [code1] [code2] -
Temporally Grounding Natural Sentence in Video - Chen et al,
EMNLP 2018. -
Cross-modal Moment Localization in Videos - Liu et al,
ACM MM 2018. [code] -
Attentive Moment Retrieval in Videos - Liu et al,
SIGIR 2018. [code] -
Multi-modal Circulant Fusion for Video-to-Language and Backward - Wu et al,
IJCAI 2018.
2019
-
Localizing Natural Language in Videos - Chen et al,
AAAI 2019. -
Semantic Proposal for Activity Localization in Videos via Sentence Query - Chen et al,
AAAI 2019. -
Multilevel Language and Vision Integration for Text-to-Clip Retrieval - Xu et al,
AAAI 2019. [code] -
To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression - Yuan et al,
AAAI 2019. [code] -
Read,Watch, and Move: Reinforcement Learning for Temporally Grounding Natural Language Descriptions in Videos - He et al,
AAAI 2019. [code] -
Tripping through time Efficient Localization of Activities in Videos - He et al,
CVPR Workshop 2019. -
MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment - Zhang et al,
CVPR 2019. -
Language-driven Temporal Activity Localization: A Semantic Matching Reinforcement Learning Model - Wang et al,
CVPR 2019. -
Cross-Modal Interaction Networks for Query-Based Moment Retrieval in Videos - Zhu et al,
SIGIR 2019. -
Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos - Yuan et al,
NeurIPS 2019.
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