Proposal-based video completion

YT Hu, H Wang, N Ballas, K Grauman… - Computer Vision–ECCV …, 2020 - Springer
… We develop a proposal-based 3D video completion method. Different from prior work, we
argue that proposals accurately summarize spatially and temporally non-local candidates that …

A proposal-based solution to spatio-temporal action detection in untrimmed videos

J Gleason, R Ranjan, S Schwarcz… - 2019 IEEE winter …, 2019 - ieeexplore.ieee.org
Existing approaches for spatio-temporal action detection in videos are limited by the spatial
extent and temporal duration of the actions. In this paper, we present a modular system for …

Query-aware multi-scale proposal network for weakly supervised temporal sentence grounding in videos

M Zhou, W Chen, H Sun, W Xie, M Dong… - Knowledge-Based Systems, 2024 - Elsevier
… proposals, which weigh the original video features to generate proposal-… video and query
features. Subsequently, a multi-scale proposal generation module is designed to refine video

Iterative proposal refinement for weakly-supervised video grounding

M Cao, F Wei, C Xu, X Geng, L Chen… - Proceedings of the …, 2023 - openaccess.thecvf.com
… : A simple pipeline1 for the conventional proposal-based WSVG methods is illustrated in Fig-
… After the multi-step refinements, our IRON gradually converges to more complete intervals …

Weakly-supervised video moment retrieval via semantic completion network

Z Lin, Z Zhao, Z Zhang, Q Wang, H Liu - Proceedings of the AAAI …, 2020 - ojs.aaai.org
… 2019), we design a novel semantic completion module that predicts the important words (eg …
given by semantic completion module, we compute reward for each proposal based on the …

Multi-modal integrated proposal generation network for weakly supervised video moment retrieval

D Fang, H Xu, W Wei, M Guizani, H Gao - Expert Systems with Applications, 2025 - Elsevier
Video moment retrieval aims to precisely identify and localize a specific segment within an
untrimmed video … , objects, and motions inherent in videos. Additionally, existing approaches …

Weakly Supervised Video Moment Retrieval via Location-irrelevant Proposal Learning

W Ji, R Shi, Y Wei, S Zhao, R Zimmermann - Companion Proceedings of …, 2024 - dl.acm.org
… : Proposal-based method, Proposal-free method, and Reinforcement Learning-based method.
In early works, some proposalbased … between video and query, treat the video as a whole …

A proposal-based paradigm for self-supervised sound source localization in videos

H Xuan, Z Wu, J Yang, Y Yan… - Proceedings of the …, 2022 - openaccess.thecvf.com
… In this paper, we advocate a novel proposal-based paradigm that … As a result, our
proposal-based sound source localization … Our location map tends to capture larger and more …

Video saliency detection using object proposals

F Guo, W Wang, J Shen, L Shao, J Yang… - IEEE transactions on …, 2017 - ieeexplore.ieee.org
… offer a more complete and high-level … proposal-based video saliency detection approach.
The two frames in the first row are the original frames from the horses01 and people05 videos

Proposal-based multiple instance learning for weakly-supervised temporal action localization

H Ren, W Yang, T Zhang… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
… actions in untrimmed videos with only video-level category … are supervised by the labels of
videos. However, the objective for … Step-by-step [64] allows the model to learn more complete