Learning Sample Importance for Cross-Scenario Video Temporal Grounding

8 January 2022

Papers citing "Learning Sample Importance for Cross-Scenario Video Temporal Grounding"

7 / 7 papers shown

Title
Vid-Morp: Video Moment Retrieval Pretraining from Unlabeled Videos in the Wild Peijun Bao Chenqi Kong Zihao Shao Boon Poh Ng Meng Hwa Er Alex C. Kot 54 2 0 01 Dec 2024
Training-free Video Temporal Grounding using Large-scale Pre-trained Models Minghang Zheng Xinhao Cai Qingchao Chen Yuxin Peng Yang Liu 32 4 0 29 Aug 2024
Hybrid-Learning Video Moment Retrieval across Multi-Domain Labels Weitong Cai Jiabo Huang S. Gong 33 3 0 03 Jun 2024
FedVMR: A New Federated Learning method for Video Moment Retrieval Yan Wang Xin Luo Zhen-Duo Chen P. Zhang Meng Liu Xin-Shun Xu FedML 29 2 0 28 Oct 2022
Temporal Sentence Grounding in Videos: A Survey and Future Directions Hao Zhang Aixin Sun Wei Jing Joey Tianyi Zhou 3DGS 36 38 0 20 Jan 2022
DORi: Discovering Object Relationship for Moment Localization of a Natural-Language Query in Video Cristian Rodriguez-Opazo Edison Marrese-Taylor Basura Fernando Hongdong Li Stephen Gould 129 11 0 13 Oct 2020
Counterfactual Samples Synthesizing for Robust Visual Question Answering Long Chen Xin Yan Jun Xiao Hanwang Zhang Shiliang Pu Yueting Zhuang OOD AAML 149 290 0 14 Mar 2020