1 code implementation • 29 Jul 2023 • Yang Xu, Yunming Liao, Hongli Xu, Zhipeng Sun, Liusheng Huang, Chunming Qiao
Federated Learning (FL) has emerged to allow multiple clients to collaboratively train machine learning models on their private data at the network edge.
1 code implementation • 13 Jan 2021 • Chuanpeng Guo, Wei Yang, Liusheng Huang
Traditional machine learning-based steganalysis methods on compressed speech have achieved great success in the field of communication security.
Cryptography and Security
1 code implementation • ICCV 2021 • Zhenbo Xu, Ajin Meng, Zhenbo Shi, Wei Yang, Zhi Chen, Liusheng Huang
Current one-step multi-object tracking and segmentation (MOTS) methods lag behind recent two-step methods.
no code implementations • ICCV 2021 • Zhi Chen, Xiaoqing Ye, Wei Yang, Zhenbo Xu, Xiao Tan, Zhikang Zou, Errui Ding, Xinming Zhang, Liusheng Huang
Second, we introduce an occlusion-aware distillation (OA Distillation) module, which leverages the predicted depths from StereoNet in non-occluded regions to train our monocular depth estimation network named SingleNet.
1 code implementation • ECCV 2020 • Zhenbo Xu, Wei zhang, Xiao Tan, Wei Yang, Huan Huang, Shilei Wen, Errui Ding, Liusheng Huang
The resulting online MOTS framework, named PointTrack, surpasses all the state-of-the-art methods including 3D tracking methods by large margins (5. 4% higher MOTSA and 18 times faster over MOTSFusion) with the near real-time speed (22 FPS).
Multi-Object Tracking Multi-Object Tracking and Segmentation +1
1 code implementation • 3 Jul 2020 • Zhenbo Xu, Wei zhang, Xiao Tan, Wei Yang, Xiangbo Su, Yuchen Yuan, Hongwu Zhang, Shilei Wen, Errui Ding, Liusheng Huang
In this work, we present PointTrack++, an effective on-line framework for MOTS, which remarkably extends our recently proposed PointTrack framework.
1 code implementation • 1 Mar 2020 • Zhenbo Xu, Wei zhang, Xiaoqing Ye, Xiao Tan, Wei Yang, Shilei Wen, Errui Ding, Ajin Meng, Liusheng Huang
The pipeline of ZoomNet begins with an ordinary 2D object detection model which is used to obtain pairs of left-right bounding boxes.
no code implementations • 14 Aug 2019 • Shaowei Wang, Jiachun Du, Wei Yang, Xinrong Diao, Zichun Liu, Yiwen Nie, Liusheng Huang, Hongli Xu
In this work, after theoretically quantifying the estimation error bound and the manipulating risk bound of the Laplace mechanism, we propose two mechanisms improving the usefulness and soundness simultaneously: the weighted sampling mechanism and the additive mechanism.
2 code implementations • ECCV 2018 • Zhenbo Xu, Wei Yang, Ajin Meng, Nanxue Lu, Huan Huang, Changchun Ying, Liusheng Huang
Most current license plate (LP) detection and recognition approaches are evaluated on a small and usually unrepresentative dataset since there are no publicly available large diverse datasets.
1 code implementation • ACL 2018 • Yang Xu, Jiawei Liu, Wei Yang, Liusheng Huang
Experiments on word similarity, syntactic analogy and text classification are conducted to validate the feasibility of our models.
no code implementations • 25 Jan 2017 • Shaowei Wang, Liusheng Huang, Pengzhan Wang, Hongli Xu, Wei Yang
One of the fundamental issue in ensemble learning is the trade-off between classification accuracy and computational costs, which is the goal of ensemble pruning.