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20192025
most citedEvolving Skeletons: Motion Dynamics in Action Recognition

5 citations · 9 across the 5 of their papers we have counts for

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cs.CV20255 cited

Evolving Skeletons: Motion Dynamics in Action Recognition

Jushang Qiu, Lei Wang

Skeleton-based action recognition has gained significant attention for its ability to efficiently represent spatiotemporal information in a lightweight format. Most existing approa…

cs.CV2024

TrackNetV4: Enhancing Fast Sports Object Tracking with Motion Attention Maps

Arjun Raj, Lei Wang, Tom Gedeon

Accurately detecting and tracking high-speed, small objects, such as balls in sports videos, is challenging due to factors like motion blur and occlusion. Although recent deep lear…

cs.CV20222 cited

Uncertainty-DTW for Time Series and Sequences

Lei Wang, Piotr Koniusz

Dynamic Time Warping (DTW) is used for matching pairs of sequences and celebrated in applications such as forecasting the evolution of time series, clustering time series or even m…

cs.CV20222 cited

Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition

Lei Wang, Piotr Koniusz

We propose a Few-shot Learning pipeline for 3D skeleton-based action recognition by Joint tEmporal and cAmera viewpoiNt alIgnmEnt (JEANIE). To factor out misalignment between query…

cs.CV2020

Tensor Representations for Action Recognition

Piotr Koniusz, Lei Wang, Anoop Cherian

Human actions in video sequences are characterized by the complex interplay between spatial features and their temporal dynamics. In this paper, we propose novel tensor representat…

cs.CV2019

Loss Switching Fusion with Similarity Search for Video Classification

Lei Wang, Du Q. Huynh, Moussa Reda Mansour

From video streaming to security and surveillance applications, video data play an important role in our daily living today. However, managing a large amount of video data and retr…