most citedUncovering Insurance Fraud Conspiracy with Network Learning

49 citations · 106 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2020

NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results

Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte +87

This paper reviews the NTIRE 2020 challenge on real image denoising with focus on the newly introduced dataset, the proposed methods and their results. The challenge is a new versi…

cs.CR2020★ 49 cited

Uncovering Insurance Fraud Conspiracy with Network Learning

Chen Liang, Ziqi Liu, Bin Liu +4

Fraudulent claim detection is one of the greatest challenges the insurance industry faces. Alibaba's return-freight insurance, providing return-shipping postage compensations over…

eess.AS2019★ 7 cited

Domain adversarial learning for emotion recognition

Zheng Lian, Jianhua Tao, Bin Liu +1

In practical applications for emotion recognition, users do not always exist in the training corpus. The mismatch between training speakers and testing speakers affects the perform…

eess.AS2019★ 17 cited

Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition

Zheng Lian, Jianhua Tao, Bin Liu +1

Prior works on speech emotion recognition utilize various unsupervised learning approaches to deal with low-resource samples. However, these methods pay less attention to modeling…

cs.CL2019★ 33 cited

Conversational Emotion Analysis via Attention Mechanisms

Zheng Lian, Jianhua Tao, Bin Liu +1

Different from the emotion recognition in individual utterances, we propose a multimodal learning framework using relation and dependencies among the utterances for conversational…