Search Results for author: Jie Cai

Found 12 papers, 4 papers with code

A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading Comprehension

no code implementations2 Jun 2020 Jie Cai, Zhengzhou Zhu, Ping Nie, Qian Liu

In this paper, inspired by the observation that most probing tasks involve identifying matched pairs of phrases (e. g. coreference requires matching an entity and a pronoun), we propose a pairwise probe to understand BERT fine-tuning on the machine reading comprehension (MRC) task.

Boundary Detection Coreference Resolution +1

Residual Channel Attention Generative Adversarial Network for Image Super-Resolution and Noise Reduction

no code implementations28 Apr 2020 Jie Cai, Zibo Meng, Chiu Man Ho

In this paper, we propose a Residual Channel Attention-Generative Adversarial Network(RCA-GAN) to solve these problems.

Image Super-Resolution

A Label Informative Wide \& Deep Classifier for Patents and Papers

no code implementations IJCNLP 2019 Muyao Niu, Jie Cai

In this paper, we provide a simple and effective baseline for classifying both patents and papers to the well-established Cooperative Patent Classification (CPC).

Feature-level and Model-level Audiovisual Fusion for Emotion Recognition in the Wild

no code implementations6 Jun 2019 Jie Cai, Zibo Meng, Ahmed Shehab Khan, Zhiyuan Li, James O'Reilly, Shizhong Han, Ping Liu, Min Chen, Yan Tong

In this paper, we proposed two strategies to fuse information extracted from different modalities, i. e., audio and visual.

Emotion Recognition

Identity-Free Facial Expression Recognition using conditional Generative Adversarial Network

no code implementations19 Mar 2019 Jie Cai, Zibo Meng, Ahmed Shehab Khan, Zhiyuan Li, James O'Reilly, Shizhong Han, Yan Tong

A novel Identity-Free conditional Generative Adversarial Network (IF-GAN) was proposed for Facial Expression Recognition (FER) to explicitly reduce high inter-subject variations caused by identity-related facial attributes, e. g., age, race, and gender.

Facial Expression Recognition

Probabilistic Attribute Tree in Convolutional Neural Networks for Facial Expression Recognition

no code implementations17 Dec 2018 Jie Cai, Zibo Meng, Ahmed Shehab Khan, Zhiyuan Li, James O'Reilly, Yan Tong

In this paper, we proposed a novel Probabilistic Attribute Tree-CNN (PAT-CNN) to explicitly deal with the large intra-class variations caused by identity-related attributes, e. g., age, race, and gender.

Facial Expression Recognition

Optimizing Filter Size in Convolutional Neural Networks for Facial Action Unit Recognition

no code implementations CVPR 2018 Shizhong Han, Zibo Meng, Zhiyuan Li, James O'Reilly, Jie Cai, Xiao-Feng Wang, Yan Tong

Most recently, Convolutional Neural Networks (CNNs) have shown promise for facial AU recognition, where predefined and fixed convolution filter sizes are employed.

Facial Action Unit Detection

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