most citedSelf-Emphasizing Network for Continuous Sign Language Recognition

11 citations · 23 across the 4 of their papers we have counts for

collaborators
Showing cs.CVShow all

6 papers · 1 filter

cs.CV20233 cited

AdaBrowse: Adaptive Video Browser for Efficient Continuous Sign Language Recognition

Lianyu Hu, Liqing Gao, Zekang Liu +2

Raw videos have been proven to own considerable feature redundancy where in many cases only a portion of frames can already meet the requirements for accurate recognition. In this…

cs.CV20237 cited

Continuous Sign Language Recognition with Correlation Network

Lianyu Hu, Liqing Gao, Zekang Liu +1

Human body trajectories are a salient cue to identify actions in the video. Such body trajectories are mainly conveyed by hands and face across consecutive frames in sign language.…

cs.CV202211 cited

Self-Emphasizing Network for Continuous Sign Language Recognition

Lianyu Hu, Liqing Gao, Zekang liu +1

Hand and face play an important role in expressing sign language. Their features are usually especially leveraged to improve system performance. However, to effectively extract vis…

cs.CV20225 cited

A Benchmark of Video-Based Clothes-Changing Person Re-Identification

Likai Wang, Xiangqun Zhang, Ruize Han +4

Person re-identification (Re-ID) is a classical computer vision task and has achieved great progress so far. Recently, long-term Re-ID with clothes-changing has attracted increasin…

cs.CV20222 cited

View-Invariant Skeleton-based Action Recognition via Global-Local Contrastive Learning

Cunling Bian, Wei Feng, Fanbo Meng +1

Skeleton-based human action recognition has been drawing more interest recently due to its low sensitivity to appearance changes and the accessibility of more skeleton data. Howeve…

cs.CV20225 cited

Single Object Tracking Research: A Survey

Ruize Han, Wei Feng, Qing Guo +1

Visual object tracking is an important task in computer vision, which has many real-world applications, e.g., video surveillance, visual navigation. Visual object tracking also has…