most citedSelf-Emphasizing Network for Continuous Sign Language Recognition

11 citations · 49 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2023★ 3 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.CV2023★ 7 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.CV2022★ 11 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.CV2022★ 5 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.CV2022★ 5 cited

From Indoor To Outdoor: Unsupervised Domain Adaptive Gait Recognition

Likai Wang, Ruize Han, Wei Feng +1

Gait recognition is an important AI task, which has been progressed rapidly with the development of deep learning. However, existing learning based gait recognition methods mainly…

cs.CV2022★ 2 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.CV2022★ 7 cited

Temporal Lift Pooling for Continuous Sign Language Recognition

Lianyu Hu, Liqing Gao, Zekang Liu +1

Pooling methods are necessities for modern neural networks for increasing receptive fields and lowering down computational costs. However, commonly used hand-crafted pooling approa…

cs.CV2022★ 5 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…

cs.CV2022

Panoramic Human Activity Recognition

Ruize Han, Haomin Yan, Jiacheng Li +3

To obtain a more comprehensive activity understanding for a crowded scene, in this paper, we propose a new problem of panoramic human activity recognition (PAR), which aims to simu…

cs.CV2022★ 4 cited

Combining the Silhouette and Skeleton Data for Gait Recognition

Likai Wang, Ruize Han, Wei Feng

Gait recognition, a long-distance biometric technology, has aroused intense interest recently. Currently, the two dominant gait recognition works are appearance-based and model-bas…