Search Results for author: Jicheng Li

Found 6 papers, 1 papers with code

MMASD: A Multimodal Dataset for Autism Intervention Analysis

1 code implementation14 Jun 2023 Jicheng Li, Vuthea Chheang, Pinar Kullu, Eli Brignac, Zhang Guo, Kenneth E. Barner, Anjana Bhat, Roghayeh Leila Barmaki

This work presents a novel privacy-preserving open-source dataset, MMASD as a MultiModal ASD benchmark dataset, collected from play therapy interventions of children with Autism.

Action Quality Assessment Optical Flow Estimation +1

Dyadic Movement Synchrony Estimation Under Privacy-preserving Conditions

no code implementations1 Aug 2022 Jicheng Li, Anjana Bhat, Roghayeh Barmaki

In general, raw video recordings are often used for movement synchrony estimation, with the drawback that they may reveal people's identities.

Optical Flow Estimation Privacy Preserving

Mixup Decoding for Diverse Machine Translation

no code implementations Findings (EMNLP) 2021 Jicheng Li, Pengzhi Gao, Xuanfu Wu, Yang Feng, Zhongjun He, Hua Wu, Haifeng Wang

To further improve the faithfulness and diversity of the translations, we propose two simple but effective approaches to select diverse sentence pairs in the training corpus and adjust the interpolation weight for each pair correspondingly.

Machine Translation Sentence +1

A Two-stage Multi-modal Affect Analysis Framework for Children with Autism Spectrum Disorder

no code implementations17 Jun 2021 Jicheng Li, Anjana Bhat, Roghayeh Barmaki

Autism spectrum disorder (ASD) is a developmental disorder that influences the communication and social behavior of a person in a way that those in the spectrum have difficulty in perceiving other people's facial expressions, as well as presenting and communicating emotions and affect via their own faces and bodies.

SE-DAE: Style-Enhanced Denoising Auto-Encoder for Unsupervised Text Style Transfer

no code implementations27 Apr 2021 Jicheng Li, Yang Feng, Jiao Ou

Moreover, to alleviate the conflict between the targets of the conventional denoising procedure and the style transfer task, we propose another novel style denoising mechanism, which is more compatible with the target of the style transfer task.

Denoising Sentence +3

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