activity
20112021
most citedMutual Information Optimally Local Private Discrete Distribution Estimation

66 citations · 123 across the 21 of their papers we have counts for

collaborators

21 papers

cs.CR2021

F3SNet: A Four-Step Strategy for QIM Steganalysis of Compressed Speech Based on Hierarchical Attention Network

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. However, previous studies lacked ma…

cs.CV2020★ 2 cited

Segment as Points for Efficient Online Multi-Object Tracking and Segmentation

Zhenbo Xu, Wei Zhang, Xiao Tan +5

Current multi-object tracking and segmentation (MOTS) methods follow the tracking-by-detection paradigm and adopt convolutions for feature extraction. However, as affected by the i…

cs.CV2020★ 4 cited

PointTrack++ for Effective Online Multi-Object Tracking and Segmentation

Zhenbo Xu, Wei Zhang, Xiao Tan +7

Multiple-object tracking and segmentation (MOTS) is a novel computer vision task that aims to jointly perform multiple object tracking (MOT) and instance segmentation. In this work…

cs.CV2020★ 4 cited

ZoomNet: Part-Aware Adaptive Zooming Neural Network for 3D Object Detection

Zhenbo Xu, Wei Zhang, Xiaoqing Ye +6

3D object detection is an essential task in autonomous driving and robotics. Though great progress has been made, challenges remain in estimating 3D pose for distant and occluded o…

cs.CR2019★ 7 cited

Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability

Shaowei Wang, Jiachun Du, Wei Yang +5

Voting plays a central role in bringing crowd wisdom to collective decision making, meanwhile data privacy has been a common ethical/legal issue in eliciting preferences from indiv…

cs.HC2018★ 5 cited

Attention-based Walking Gait and Direction Recognition in Wi-Fi Networks

Yang Xu, Min Chen, Wei Yang +2

The study of human gait recognition has been becoming an active research field. In this paper, we propose to adopt the attention-based Recurrent Neural Network (RNN) encoder-decode…