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pro vyhledávání: '"LI, FREDERICK"'
Painting classification plays a vital role in organizing, finding, and suggesting artwork for digital and classic art galleries. Existing methods struggle with adapting knowledge from the real world to artistic images during training, leading to poor
Externí odkaz:
http://arxiv.org/abs/2408.01827
Video-based Human-Object Interaction (HOI) recognition explores the intricate dynamics between humans and objects, which are essential for a comprehensive understanding of human behavior and intentions. While previous work has made significant stride
Externí odkaz:
http://arxiv.org/abs/2407.00917
Autor:
Zhou, Kanglei, Wang, Liyuan, Zhang, Xingxing, Shum, Hubert P. H., Li, Frederick W. B., Li, Jianguo, Liang, Xiaohui
Action Quality Assessment (AQA) evaluates diverse skills but models struggle with non-stationary data. We propose Continual AQA (CAQA) to refine models using sparse new data. Feature replay preserves memory without storing raw inputs. However, the mi
Externí odkaz:
http://arxiv.org/abs/2403.04398
Text-driven human motion generation in computer vision is both significant and challenging. However, current methods are limited to producing either deterministic or imprecise motion sequences, failing to effectively control the temporal and spatial
Externí odkaz:
http://arxiv.org/abs/2309.06284
It is difficult to train classifiers on paintings collections due to model bias from domain gaps and data bias from the uneven distribution of artistic styles. Previous techniques like data distillation, traditional data augmentation and style transf
Externí odkaz:
http://arxiv.org/abs/2301.02524
Autor:
Qiao, Tanqiu, Men, Qianhui, Li, Frederick W. B., Kubotani, Yoshiki, Morishima, Shigeo, Shum, Hubert P. H.
Human-Object Interaction (HOI) recognition in videos is important for analyzing human activity. Most existing work focusing on visual features usually suffer from occlusion in the real-world scenarios. Such a problem will be further complicated when
Externí odkaz:
http://arxiv.org/abs/2207.09425
Autor:
Almushyti, Muna, Li, Frederick W.
Modeling spatial-temporal relations is imperative for recognizing human actions, especially when a human is interacting with objects, while multiple objects appear around the human differently over time. Most existing action recognition models focus
Externí odkaz:
http://arxiv.org/abs/2112.09448
Autor:
Maldini, Colby R., Messana, Angelica C., Bendet, Paula B., Camblin, Adam J., Musenge, Faith M., White, Moriah L., Rocha, Joseph J., Coholan, Lindsey J., Karaca, Cisem, Li, Frederick, Yan, Bo, Vrbanac, Vladimir D., Marte, Emily, Claiborne, Daniel T., Boutwell, Christian L., Allen, Todd M.
Publikováno v:
In Molecular Therapy 2 October 2024 32(10):3485-3503
