Zobrazeno 1 - 10
of 140
pro vyhledávání: '"Meng, Fanyang"'
Deep neural network-based image compression (NIC) has achieved excellent performance, but NIC method models have been shown to be susceptible to backdoor attacks. Adversarial training has been validated in image compression models as a common method
Externí odkaz:
http://arxiv.org/abs/2403.06700
Recognizing interactive actions, including hand-to-hand interaction and human-to-human interaction, has attracted increasing attention for various applications in the field of video analysis and human-robot interaction. Considering the success of gra
Externí odkaz:
http://arxiv.org/abs/2402.02431
Multimodal-based action recognition methods have achieved high success using pose and RGB modality. However, skeletons sequences lack appearance depiction and RGB images suffer irrelevant noise due to modality limitations. To address this, we introdu
Externí odkaz:
http://arxiv.org/abs/2401.02138
Publikováno v:
Proceedings of the 31st ACM International Conference on Multimedia, October 2023, Pages 2856-2864
With potential applications in fields including intelligent surveillance and human-robot interaction, the human motion prediction task has become a hot research topic and also has achieved high success, especially using the recent Graph Convolutional
Externí odkaz:
http://arxiv.org/abs/2311.13781
Human skeletons and RGB sequences are both widely-adopted input modalities for human action recognition. However, skeletons lack appearance features and color data suffer large amount of irrelevant depiction. To address this, we introduce human parsi
Externí odkaz:
http://arxiv.org/abs/2307.07977
Recently, learned image compression methods have developed rapidly and exhibited excellent rate-distortion performance when compared to traditional standards, such as JPEG, JPEG2000 and BPG. However, the learning-based methods suffer from high comput
Externí odkaz:
http://arxiv.org/abs/2206.11599
Visual object tracking acts as a pivotal component in various emerging video applications. Despite the numerous developments in visual tracking, existing deep trackers are still likely to fail when tracking against objects with dramatic variation. Th
Externí odkaz:
http://arxiv.org/abs/2204.01513
Publikováno v:
In Signal Processing February 2025 227
Publikováno v:
In Bioresource Technology May 2024 400
Autor:
Sun, Chao, Ma, Xiaobo, Meng, Fanyang, Chen, Xi, Wang, Xu, Sun, Wenyu, Xu, Yinghui, He, Hua, Zhang, Huimao, Ma, Kewei
Publikováno v:
In Neoplasia April 2024 50