activity
20192022
most citedProposal Relation Network for Temporal Action Detection

16 citations · 104 across the 18 of their papers we have counts for

collaborators

18 papers

cs.CV202212 cited

Learning a Condensed Frame for Memory-Efficient Video Class-Incremental Learning

Yixuan Pei, Zhiwu Qing, Jun Cen +6

Recent incremental learning for action recognition usually stores representative videos to mitigate catastrophic forgetting. However, only a few bulky videos can be stored due to t…

cs.CV20227 cited

Hybrid Relation Guided Set Matching for Few-shot Action Recognition

Xiang Wang, Shiwei Zhang, Zhiwu Qing +5

Current few-shot action recognition methods reach impressive performance by learning discriminative features for each video via episodic training and designing various temporal ali…

cs.CV2022

Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency

Zhiwu Qing, Shiwei Zhang, Ziyuan Huang +6

Natural videos provide rich visual contents for self-supervised learning. Yet most existing approaches for learning spatio-temporal representations rely on manually trimmed videos,…

cs.CV20222 cited

TCTrack: Temporal Contexts for Aerial Tracking

Ziang Cao, Ziyuan Huang, Liang Pan +3

Temporal contexts among consecutive frames are far from being fully utilized in existing visual trackers. In this work, we present TCTrack, a comprehensive framework to fully explo…

cs.CV20217 cited

Support-Set Based Cross-Supervision for Video Grounding

Xinpeng Ding, Nannan Wang, Shiwei Zhang +5

Current approaches for video grounding propose kinds of complex architectures to capture the video-text relations, and have achieved impressive improvements. However, it is hard to…

cs.CV20213 cited

Exploring Stronger Feature for Temporal Action Localization

Zhiwu Qing, Xiang Wang, Ziyuan Huang +6

Temporal action localization aims to localize starting and ending time with action category. Limited by GPU memory, mainstream methods pre-extract features for each video. Therefor…