most citedHEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild

57 citations · 84 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021★ 17 cited

Sequential convolutional network for behavioral pattern extraction in gait recognition

Xinnan Ding, Kejun Wang, Chenhui Wang +2

As a unique and promising biometric, video-based gait recognition has broad applications. The key step of this methodology is to learn the walking pattern of individuals, which, ho…

cs.SD2020★ 7 cited

An Features Extraction and Recognition Method for Underwater Acoustic Target Based on ATCNN

Gang Hu, Kejun Wang, Liangliang Liu

Facing the complex marine environment, it is extremely challenging to conduct underwater acoustic target recognition (UATR) using ship-radiated noise. Inspired by neural mechanism…

cs.CV2020★ 1 cited

Computational efficient deep neural network with difference attention maps for facial action unit detection

Jing Chen, Chenhui Wang, Kejun Wang +1

In this paper, we propose a computational efficient end-to-end training deep neural network (CEDNN) model and spatial attention maps based on difference images. Firstly, the differ…

cs.CV2020★ 2 cited

Person image generation with semantic attention network for person re-identification

Meichen Liu, Kejun Wang, Juihang Ji +1

Pose variation is one of the key factors which prevents the network from learning a robust person re-identification (Re-ID) model. To address this issue, we propose a novel person…

cs.CV2020★ 57 cited

HEU Emotion: A Large-scale Database for Multi-modal Emotion Recognition in the Wild

Jing Chen, Chenhui Wang, Kejun Wang +7

The study of affective computing in the wild setting is underpinned by databases. Existing multimodal emotion databases in the real-world conditions are few and small, with a limit…