activity
20182022
most citedLearning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

11 citations · 11 across the 3 of their papers we have counts for

collaborators

6 papers

cs.LG2022

Smoothing Policy Iteration for Zero-sum Markov Games

Yangang Ren, Yao Lyu, Wenxuan Wang +3

Zero-sum Markov Games (MGs) has been an efficient framework for multi-agent systems and robust control, wherein a minimax problem is constructed to solve the equilibrium policies.…

cs.CV2021

TransBTS: Multimodal Brain Tumor Segmentation Using Transformer

Wenxuan Wang, Chen Chen, Meng Ding +3

Transformer, which can benefit from global (long-range) information modeling using self-attention mechanisms, has been successful in natural language processing and 2D image classi…

eess.SY2021

Recurrent Model Predictive Control

Zhengyu Liu, Jingliang Duan, Wenxuan Wang +5

This paper proposes an off-line algorithm, called Recurrent Model Predictive Control (RMPC), to solve general nonlinear finite-horizon optimal control problems. Unlike traditional…

cs.CV2020

Long-Term Cloth-Changing Person Re-identification

Xuelin Qian, Wenxuan Wang, Li Zhang +5

Person re-identification (Re-ID) aims to match a target person across camera views at different locations and times. Existing Re-ID studies focus on the short-term cloth-consistent…

cs.CV202011 cited

Learning to Augment Expressions for Few-shot Fine-grained Facial Expression Recognition

Wenxuan Wang, Yanwei Fu, Qiang Sun +7

Affective computing and cognitive theory are widely used in modern human-computer interaction scenarios. Human faces, as the most prominent and easily accessible features, have att…

cs.SD2018

UFANS: U-shaped Fully-Parallel Acoustic Neural Structure For Statistical Parametric Speech Synthesis With 20X Faster

Dabiao Ma, Zhiba Su, Yuhao Lu +2

Neural networks with Auto-regressive structures, such as Recurrent Neural Networks (RNNs), have become the most appealing structures for acoustic modeling of parametric text to spe…