24 citations · 45 across the 14 of their papers we have counts for
6 papers · 1 filter
On Pursuit of Designing Multi-modal Transformer for Video Grounding
Meng Cao, Long Chen, Mike Zheng Shou +2
Video grounding aims to localize the temporal segment corresponding to a sentence query from an untrimmed video. Almost all existing video grounding methods fall into two framework…
Deep Motion Prior for Weakly-Supervised Temporal Action Localization
Meng Cao, Can Zhang, Long Chen +2
Weakly-Supervised Temporal Action Localization (WSTAL) aims to localize actions in untrimmed videos with only video-level labels. Currently, most state-of-the-art WSTAL methods fol…
All You Need is a Second Look: Towards Arbitrary-Shaped Text Detection
Meng Cao, Can Zhang, Dongming Yang +1
Arbitrary-shaped text detection is a challenging task since curved texts in the wild are of the complex geometric layouts. Existing mainstream methods follow the instance segmentat…
Video Frame Interpolation via Structure-Motion based Iterative Fusion
Xi Li, Meng Cao, Yingying Tang +4
Video Frame Interpolation synthesizes non-existent images between adjacent frames, with the aim of providing a smooth and consistent visual experience. Two approaches for solving t…
RR-Net: Injecting Interactive Semantics in Human-Object Interaction Detection
Dongming Yang, Yuexian Zou, Can Zhang +2
Human-Object Interaction (HOI) detection devotes to learn how humans interact with surrounding objects. Latest end-to-end HOI detectors are short of relation reasoning, which leads…
CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning
Can Zhang, Meng Cao, Dongming Yang +2
Weakly-supervised temporal action localization (WS-TAL) aims to localize actions in untrimmed videos with only video-level labels. Most existing models follow the "localization by…