Search Results for author: Zhifeng Wang

Found 19 papers, 4 papers with code

Authentic Emotion Mapping: Benchmarking Facial Expressions in Real News

no code implementations21 Apr 2024 Qixuan Zhang, Zhifeng Wang, Yang Liu, Zhenyue Qin, Kaihao Zhang, Sabrina Caldwell, Tom Gedeon

In this paper, we present a novel benchmark for Emotion Recognition using facial landmarks extracted from realistic news videos.

Benchmarking Emotion Recognition

Dual-Path Coupled Image Deraining Network via Spatial-Frequency Interaction

1 code implementation7 Feb 2024 Yuhong He, Aiwen Jiang, Lingfang Jiang, Zhifeng Wang, Lu Wang

Transformers have recently emerged as a significant force in the field of image deraining.

Rain Removal

LRDif: Diffusion Models for Under-Display Camera Emotion Recognition

no code implementations1 Feb 2024 Zhifeng Wang, Kaihao Zhang, Ramesh Sankaranarayana

This study introduces LRDif, a novel diffusion-based framework designed specifically for facial expression recognition (FER) within the context of under-display cameras (UDC).

Emotion Recognition Facial Expression Recognition +1

Using Scene and Semantic Features for Multi-modal Emotion Recognition

no code implementations1 Aug 2023 Zhifeng Wang, Ramesh Sankaranarayana

The semantic feature can include objects that are present in the environment, as well as their attributes and relationships with the target person.

Emotion Recognition

HTNet for micro-expression recognition

1 code implementation27 Jul 2023 Zhifeng Wang, Kaihao Zhang, Wenhan Luo, Ramesh Sankaranarayana

The transformer layer is used to focus on representing local minor muscle movement with local self-attention in each area.

Facial Emotion Recognition Micro Expression Recognition +1

Knowledge Graph Enhanced Intelligent Tutoring System Based on Exercise Representativeness and Informativeness

no code implementations15 Jul 2023 Linqing Li, Zhifeng Wang

These components encompass the informativeness component, exercise representation component, knowledge importance component, and exercise representativeness component.

cognitive diagnosis Informativeness +1

Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing

1 code implementation8 Apr 2023 Linqing Li, Zhifeng Wang

In this work, a novel knowledge tracing model, named Knowledge Relation Rank Enhanced Heterogeneous Learning Interaction Modeling for Neural Graph Forgetting Knowledge Tracing(NGFKT), is proposed to reduce the impact of the subjective labeling by calibrating the skill relation matrix and the Q-matrix and apply the Graph Convolutional Network(GCN) to model the heterogeneous interactions between students, exercises, and skills.

Knowledge Tracing Position +1

Learning Behavior Recognition in Smart Classroom with Multiple Students Based on YOLOv5

no code implementations20 Mar 2023 Zhifeng Wang, Jialong Yao, Chunyan Zeng, Wanxuan Wu, Hongmin Xu, Yang Yang

The use of computer vision technology to identify students' learning behavior in the classroom can reduce the workload of traditional teachers in supervising students in the classroom, and ensure greater accuracy and comprehensiveness.

Graph Neural Networks Enhanced Smart Contract Vulnerability Detection of Educational Blockchain

no code implementations8 Mar 2023 Zhifeng Wang, Wanxuan Wu, Chunyan Zeng, Jialong Yao, Yang Yang, Hongmin Xu

With the development of blockchain technology, more and more attention has been paid to the intersection of blockchain and education, and various educational evaluation systems and E-learning systems are developed based on blockchain technology.

Vulnerability Detection

Photovoltaic Panel Defect Detection Based on Ghost Convolution with BottleneckCSP and Tiny Target Prediction Head Incorporating YOLOv5

no code implementations2 Mar 2023 Longlong Li, Zhifeng Wang, Tingting Zhang

To ensure better accuracy on multiscale targets, the BottleneckCSP module is introduced to add a prediction head for tiny target detection to alleviate tiny defect misses, using Ghost convolution to improve the model inference speed and reduce the number of parameters.

Defect Detection

JSRNN: Joint Sampling and Reconstruction Neural Networks for High Quality Image Compressed Sensing

no code implementations11 Nov 2022 Chunyan Zeng, Jiaxiang Ye, Zhifeng Wang, Nan Zhao, Minghu Wu

Most Deep Learning (DL) based Compressed Sensing (DCS) algorithms adopt a single neural network for signal reconstruction, and fail to jointly consider the influences of the sampling operation for reconstruction.

Compressive Sensing Denoising +1

Image Compressed Sensing with Multi-scale Dilated Convolutional Neural Network

1 code implementation28 Sep 2022 Zhifeng Wang, Zhenghui Wang, Chunyan Zeng, Yan Yu, Xiangkui Wan

During the measurement period, we directly obtain all measurements from a trained measurement network, which employs fully convolutional structures and is jointly trained with the reconstruction network from the input image.

Blocking Image Compressed Sensing +2

Spatio-Temporal Representation Learning Enhanced Source Cell-phone Recognition from Speech Recordings

no code implementations25 Aug 2022 Chunyan Zeng, Shixiong Feng, Zhifeng Wang, Xiangkui Wan, Yunfan Chen, Nan Zhao

In this paper, we propose a source cell-phone recognition method based on spatio-temporal representation learning, which includes two main parts: extraction of sequential Gaussian mean matrix features and construction of a recognition model based on spatio-temporal representation learning.

Representation Learning Time Series Analysis

Abs-CAM: A Gradient Optimization Interpretable Approach for Explanation of Convolutional Neural Networks

no code implementations8 Jul 2022 Chunyan Zeng, Kang Yan, Zhifeng Wang, Yan Yu, Shiyan Xia, Nan Zhao

However, when this method uses backpropagation to obtain gradients, it will cause noise in the saliency map, and even locate features that are irrelevant to decisions.

UIILD: A Unified Interpretable Intelligent Learning Diagnosis Framework for Intelligent Tutoring Systems

no code implementations7 Jul 2022 Zhifeng Wang, Wenxing Yan, Chunyan Zeng, Shi Dong

Intelligent learning diagnosis is a critical engine of intelligent tutoring systems, which aims to estimate learners' current knowledge mastery status and predict their future learning performance.

Representation Learning

Analysis of Generalized Bregman Surrogate Algorithms for Nonsmooth Nonconvex Statistical Learning

no code implementations16 Dec 2021 Yiyuan She, Zhifeng Wang, Jiuwu Jin

Modern statistical applications often involve minimizing an objective function that may be nonsmooth and/or nonconvex.

Sparse Learning

Gaining Outlier Resistance with Progressive Quantiles: Fast Algorithms and Theoretical Studies

no code implementations15 Dec 2021 Yiyuan She, Zhifeng Wang, Jiahui Shen

Outliers widely occur in big-data applications and may severely affect statistical estimation and inference.

Group Regularized Estimation under Structural Hierarchy

no code implementations17 Nov 2014 Yiyuan She, Zhifeng Wang, He Jiang

We give the minimax lower bounds for strong and weak hierarchical variable selection and show that the proposed estimators enjoy sharp rate oracle inequalities.

Variable Selection

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