activity
20162021
most citedSearching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition

136 citations · 164 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2021★ 2 cited

iMiGUE: An Identity-free Video Dataset for Micro-Gesture Understanding and Emotion Analysis

Xin Liu, Henglin Shi, Haoyu Chen +3

We introduce a new dataset for the emotional artificial intelligence research: identity-free video dataset for Micro-Gesture Understanding and Emotion analysis (iMiGUE). Different…

cs.CV2020★ 136 cited

Searching Multi-Rate and Multi-Modal Temporal Enhanced Networks for Gesture Recognition

Zitong Yu, Benjia Zhou, Jun Wan +5

Gesture recognition has attracted considerable attention owing to its great potential in applications. Although the great progress has been made recently in multi-modal learning me…

cs.CV2017★ 1 cited

Group-based Sparse Representation for Image Compressive Sensing Reconstruction with Non-Convex Regularization

Zhiyuan Zha, Xinggan Zhang, Qiong Wang +2

Patch-based sparse representation modeling has shown great potential in image compressive sensing (CS) reconstruction. However, this model usually suffers from some limits, such as…

cs.CV2016★ 6 cited

Analyzing the group sparsity based on the rank minimization methods

Zhiyuan Zha, Xin Liu, Xiaohua Huang +5

Sparse coding has achieved a great success in various image processing studies. However, there is not any benchmark to measure the sparsity of image patch/group because sparse disc…

cs.CV2016★ 3 cited

Image denoising via group sparsity residual constraint

Zhiyuan Zha, Xin Liu, Ziheng Zhou +7

Group sparsity has shown great potential in various low-level vision tasks (e.g, image denoising, deblurring and inpainting). In this paper, we propose a new prior model for image…

cs.CV2016★ 16 cited

Saliency Integration: An Arbitrator Model

Yingyue Xu, Xiaopeng Hong, Fatih Porikli +3

Saliency integration has attracted much attention on unifying saliency maps from multiple saliency models. Previous offline integration methods usually face two challenges: 1. if m…