no code implementations • 5 May 2023 • Leming Guo, Wanli Xue, Yuxi Zhou, Ze Kang, Tiantian Yuan, Zan Gao, ShengYong Chen
The DDA further proposes the Denoising-Diffusion Autoencoder, which adds a decoder in the auxiliary condition diffusion to denoise the partial noisy bimodal representations via the designed DDA loss in self-supervised.
Ranked #4 on Sign Language Recognition on CSL-Daily
no code implementations • CVPR 2023 • Leming Guo, Wanli Xue, Qing Guo, Bo Liu, Kaihua Zhang, Tiantian Yuan, ShengYong Chen
Existing results in [9, 20, 25, 36] have indicated that, as the frontal component of the overall model, the spatial perception module used for spatial feature extraction tends to be insufficiently trained.
Ranked #6 on Sign Language Recognition on CSL-Daily
no code implementations • 21 Sep 2022 • Xuhong Ren, Jianlang Chen, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao, ShengYong Chen
Then, we propose a novel core-failure-set guided DARTS that embeds a K-center-greedy algorithm for DARTS to select suitable corrupted failure examples to refine the model architecture.
no code implementations • 23 Apr 2021 • Ziyi Cheng, Xuhong Ren, Felix Juefei-Xu, Wanli Xue, Qing Guo, Lei Ma, Jianjun Zhao
Online updating of the object model via samples from historical frames is of great importance for accurate visual object tracking.
1 code implementation • 22 Apr 2021 • Chengwei Zhang, Shan Jin, Wanli Xue, Xiaofei Xie, ShengYong Chen, Rong Chen
To this, we model the traffic control problem as a partially observable weak cooperative traffic model (PO-WCTM) to optimize the overall traffic situation of a group of intersections.
1 code implementation • 21 Sep 2020 • Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, WangMeng Zuo
Existing visual object tracking usually learns a bounding-box based template to match the targets across frames, which cannot accurately learn a pixel-wise representation, thereby being limited in handling severe appearance variations.
no code implementations • 23 Feb 2020 • Weitao Xu, Xiang Zhang, Lina Yao, Wanli Xue, Bo Wei
In this paper, we propose a deep learning based acoustic classification framework for Wireless Acoustic Sensor Network (WASN).
1 code implementation • ECCV 2020 • Qing Guo, Xiaofei Xie, Felix Juefei-Xu, Lei Ma, Zhongguo Li, Wanli Xue, Wei Feng, Yang Liu
We identify that online object tracking poses two new challenges: 1) it is difficult to generate imperceptible perturbations that can transfer across frames, and 2) real-time trackers require the attack to satisfy a certain level of efficiency.
no code implementations • 18 Sep 2018 • Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Zhiyong Feng, Wanli Xue, Rong Chen
Although many reinforcement learning methods have been proposed for learning the optimal solutions in single-agent continuous-action domains, multiagent coordination domains with continuous actions have received relatively few investigations.
no code implementations • 8 Mar 2018 • Chengwei Zhang, Xiaohong Li, Jianye Hao, Siqi Chen, Karl Tuyls, Wanli Xue
In multiagent environments, the capability of learning is important for an agent to behave appropriately in face of unknown opponents and dynamic environment.