Zobrazeno 1 - 10
of 62
pro vyhledávání: '"McNally, William P."'
Identifying players in video is a foundational step in computer vision-based sports analytics. Obtaining player identities is essential for analyzing the game and is used in downstream tasks such as game event recognition. Transformers are the existi
Externí odkaz:
http://arxiv.org/abs/2111.11535
In keypoint estimation tasks such as human pose estimation, heatmap-based regression is the dominant approach despite possessing notable drawbacks: heatmaps intrinsically suffer from quantization error and require excessive computation to generate an
Externí odkaz:
http://arxiv.org/abs/2111.08557
Existing multi-camera solutions for automatic scorekeeping in steel-tip darts are very expensive and thus inaccessible to most players. Motivated to develop a more accessible low-cost solution, we present a new approach to keypoint detection and appl
Externí odkaz:
http://arxiv.org/abs/2105.09880
Neural architecture search has proven to be highly effective in the design of efficient convolutional neural networks that are better suited for mobile deployment than hand-designed networks. Hypothesizing that neural architecture search holds great
Externí odkaz:
http://arxiv.org/abs/2011.08446
Autor:
Vats, Kanav, McNally, William, Dulhanty, Chris, Lin, Zhong Qiu, Clausi, David A., Zelek, John
Puck location in ice hockey is essential for hockey analysts for determining the location of play and analyzing game events. However, because of the difficulty involved in obtaining accurate annotations due to the extremely low visibility and commonl
Externí odkaz:
http://arxiv.org/abs/1912.05107
The golf swing is a complex movement requiring considerable full-body coordination to execute proficiently. As such, it is the subject of frequent scrutiny and extensive biomechanical analyses. In this paper, we introduce the notion of golf swing seq
Externí odkaz:
http://arxiv.org/abs/1903.06528
While depth cameras and inertial sensors have been frequently leveraged for human action recognition, these sensing modalities are impractical in many scenarios where cost or environmental constraints prohibit their use. As such, there has been recen
Externí odkaz:
http://arxiv.org/abs/1902.10024
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