no code implementations • 11 Mar 2024 • Zhi Cao, Youneng Bao, Fanyang Meng, Chao Li, Wen Tan, Genhong Wang, Yongsheng Liang
Adversarial training has been validated in image compression models as a common method to enhance model robustness.
no code implementations • 4 Feb 2024 • Mengyuan Liu, Chen Chen, Songtao Wu, Fanyang Meng, Hong Liu
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.
1 code implementation • CAAI Transactions on Intelligence Technology 2023 • Jinfu Liu, Runwei Ding, Yuhang Wen, Nan Dai, Fanyang Meng, Shen Zhao, Mengyuan Liu
Multimodal-based action recognition methods have achieved high success using pose and RGB modality.
Ranked #4 on Action Recognition on NTU RGB+D 120
1 code implementation • 23 Nov 2023 • Wanying Zhang, Shen Zhao, Fanyang Meng, Songtao Wu, Mengyuan Liu
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 Network (GCN).
1 code implementation • 16 Jul 2023 • Runwei Ding, Yuhang Wen, Jinfu Liu, Nan Dai, Fanyang Meng, Mengyuan Liu
We propose an Integrating Human Parsing and Pose Network (IPP-Net) for action recognition, which is the first to leverage both skeletons and human parsing feature maps in dual-branch approach.
Ranked #7 on Action Recognition on NTU RGB+D 120
no code implementations • 23 Jun 2022 • Bowen Li, Yao Xin, Youneng Bao, Fanyang Meng, Yongsheng Liang, Wen Tan
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.
no code implementations • 4 Apr 2022 • Qiuhong Shen, Xin Li, Fanyang Meng, Yongsheng Liang
These deep trackers usually do not perform online update or update single sub-branch of the tracking model, for which they cannot adapt to the appearance variation of objects.
1 code implementation • 12 Apr 2021 • Bin Ren, Hao Tang, Fanyang Meng, Runwei Ding, Philip H. S. Torr, Nicu Sebe
In the second stage, we put forth a CIT reasoning block for establishing global mutual interactive dependencies among person representation, the warped clothing item, and the corresponding warped cloth mask.
no code implementations • 13 Sep 2020 • Honghu Pan, Fanyang Meng, Nana Fan, Zhenyu He
Our method has the following two advantages: (1) We are the first to consider neighborhood information of descriptors, while former works mainly focus on neighborhood consistency of feature points; (2) Our method can be applied in any former work of learning descriptors by triplet loss.
1 code implementation • ACL 2020 • Wenmeng Yu, Hua Xu, Fanyang Meng, Yilin Zhu, Yixiao Ma, Jiele Wu, Jiyun Zou, Kai-Cheng Yang
Previous studies in multimodal sentiment analysis have used limited datasets, which only contain unified multimodal annotations.
no code implementations • 5 Jun 2020 • Honghu Pan, Fanyang Meng, Zhenyu He, Yongsheng Liang, Wei Liu
Then we define topology distance between descriptors as the difference of their topology vectors.
1 code implementation • 1 Jun 2020 • Hanrong Ye, Hong Liu, Fanyang Meng, Xia Li
As an angularly discriminative feature space is important for classifying the human images based on their embedding vectors, in this paper, we propose a novel ranking loss function, named Bi-directional Exponential Angular Triplet Loss, to help learn an angularly separable common feature space by explicitly constraining the included angles between embedding vectors.
no code implementations • 22 Dec 2017 • Fanyang Meng, Hong Liu, Yongsheng Liang, Wei Liu, Jihong Pei
The bandwidth of a kernel function is a crucial parameter in the mean shift algorithm.