activity
20162022
most citedAssessing the Quality-of-Experience of Adaptive Bitrate Video Streaming

20 citations · 47 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2022

Causal Intervention for Subject-Deconfounded Facial Action Unit Recognition

Yingjie Chen, Diqi Chen, Tao Wang +2

Subject-invariant facial action unit (AU) recognition remains challenging for the reason that the data distribution varies among subjects. In this paper, we propose a causal infere…

cs.CV2022

EventFormer: AU Event Transformer for Facial Action Unit Event Detection

Yingjie Chen, Jiarui Zhang, Tao Wang +1

Facial action units (AUs) play an indispensable role in human emotion analysis. We observe that although AU-based high-level emotion analysis is urgently needed by real-world appli…

eess.IV2020★ 20 cited

Assessing the Quality-of-Experience of Adaptive Bitrate Video Streaming

Zhengfang Duanmu, Wentao Liu, Zhuoran Li +4

The diversity of video delivery pipeline poses a grand challenge to the evaluation of adaptive bitrate (ABR) streaming algorithms and objective quality-of-experience (QoE) models.…

cs.MM2019★ 12 cited

A Knowledge-Driven Quality-of-Experience Model for Adaptive Streaming Videos

Zhengfang Duanmu, Wentao Liu, Diqi Chen +4

The fundamental conflict between the enormous space of adaptive streaming videos and the limited capacity for subjective experiment casts significant challenges to objective Qualit…

cs.CV2017★ 11 cited

RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment

Hongyu Ren, Diqi Chen, Yizhou Wang

Inspired by the free-energy brain theory, which implies that human visual system (HVS) tends to reduce uncertainty and restore perceptual details upon seeing a distorted image, we…

cs.CV2016★ 4 cited

An Attention-Driven Approach of No-Reference Image Quality Assessment

Diqi Chen, Yizhou Wang, Tianfu Wu +1

In this paper, we present a novel method of no-reference image quality assessment (NR-IQA), which is to predict the perceptual quality score of a given image without using any refe…