Search Results for author: Yu Ding

Found 24 papers, 5 papers with code

Transformer-based Multimodal Information Fusion for Facial Expression Analysis

no code implementations23 Mar 2022 Wei zhang, Feng Qiu, Suzhen Wang, Hao Zeng, Zhimeng Zhang, Rudong An, Bowen Ma, Yu Ding

Then, we introduce a transformer-based fusion module that integrates the static vision features and the dynamic multimodal features.

Action Unit Detection Arousal Estimation +2

TAKDE: Temporal Adaptive Kernel Density Estimator for Real-Time Dynamic Density Estimation

no code implementations15 Mar 2022 Yinsong Wang, Yu Ding, Shahin Shahrampour

Kernel density estimation is arguably one of the most commonly used density estimation techniques, and the use of "sliding window" mechanism adapts kernel density estimators to dynamic processes.

Density Estimation

One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning

no code implementations6 Dec 2021 Suzhen Wang, Lincheng Li, Yu Ding, Xin Yu

Hence, we propose a novel one-shot talking face generation framework by exploring consistent correlations between audio and visual motions from a specific speaker and then transferring audio-driven motion fields to a reference image.

Talking Face Generation

Towards Futuristic Autonomous Experimentation--A Surprise-Reacting Sequential Experiment Policy

no code implementations1 Dec 2021 Imtiaz Ahmed, Satish Bukkapatnam, Bhaskar Botcha, Yu Ding

An autonomous experimentation platform in manufacturing is supposedly capable of conducting a sequential search for finding suitable manufacturing conditions for advanced materials by itself or even for discovering new materials with minimal human intervention.

RAANet: Range-Aware Attention Network for LiDAR-based 3D Object Detection with Auxiliary Density Level Estimation

1 code implementation18 Nov 2021 Yantao Lu, Xuetao Hao, Shiqi Sun, Weiheng Chai, Yu Ding, Muchenxuan Tong, Senem Velipasalar

It is worth to note that our proposed RAA convolution is lightweight and compatible to be integrated into any CNN architecture used for the BEV detection.

3D Object Detection Autonomous Driving +1

Audio2Head: Audio-driven One-shot Talking-head Generation with Natural Head Motion

no code implementations20 Jul 2021 Suzhen Wang, Lincheng Li, Yu Ding, Changjie Fan, Xin Yu

As this keypoint based representation models the motions of facial regions, head, and backgrounds integrally, our method can better constrain the spatial and temporal consistency of the generated videos.

Image Generation Talking Head Generation

Prior Aided Streaming Network for Multi-task Affective Recognitionat the 2nd ABAW2 Competition

no code implementations8 Jul 2021 Wei zhang, Zunhu Guo, Keyu Chen, Lincheng Li, Zhimeng Zhang, Yu Ding

Automatic affective recognition has been an important research topic in human computer interaction (HCI) area.

Emotion Recognition

Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual Dataset

1 code implementation CVPR 2021 Zhimeng Zhang, Lincheng Li, Yu Ding, Changjie Fan

To synthesize high-definition videos, we build a large in-the-wild high-resolution audio-visual dataset and propose a novel flow-guided talking face generation framework.

Talking Face Generation

Learning a Deep Motion Interpolation Network for Human Skeleton Animations

no code implementations Computer animation & Virtual worlds 2021 Chi Zhou, Zhangjiong Lai, Suzhen Wang, Lincheng Li, Xiaohan Sun, Yu Ding

In this work, we propose a novel carefully designed deep learning framework, named deep motion interpolation network (DMIN), to learn human movement habits from a real dataset and then to perform the interpolation function specific for human motions.

MOTION INTERPOLATION

Cardiac Functional Analysis with Cine MRI via Deep Learning Reconstruction

no code implementations17 May 2021 Eric Z. Chen, Xiao Chen, Jingyuan Lyu, Qi Liu, Zhongqi Zhang, Yu Ding, Shuheng Zhang, Terrence Chen, Jian Xu, Shanhui Sun

To the best of our knowledge, this is the first work to evaluate the cine MRI with deep learning reconstruction for cardiac function analysis and compare it with other conventional methods.

The temporal overfitting problem with applications in wind power curve modeling

1 code implementation2 Dec 2020 Abhinav Prakash, Rui Tuo, Yu Ding

Using existing model selection methods, like cross validation, results in model overfitting in presence of temporal autocorrelation.

Model Selection

Augmented Equivariant Attention Networks for Microscopy Image Reconstruction

no code implementations6 Nov 2020 Yaochen Xie, Yu Ding, Shuiwang Ji

Advances in deep learning enable us to perform image-to-image transformation tasks for various types of microscopy image reconstruction, computationally producing high-quality images from the physically acquired low-quality ones.

Image Classification Image Reconstruction +1

A Spatio-temporal Track Association Algorithm Based on Marine Vessel Automatic Identification System Data

no code implementations29 Oct 2020 Imtiaz Ahmed, Mikyoung Jun, Yu Ding

The proposed approach is developed as an effort to address a data association challenge in which the number of vessels as well as the vessel identification are purposely withheld and time gaps are created in the datasets to mimic the real-life operational complexities under a threat environment.

Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection

no code implementations29 Oct 2020 Imtiaz Ahmed, Travis Galoppo, Xia Hu, Yu Ding

In order to make dimensionality reduction effective for high-dimensional data embedding nonlinear low-dimensional manifold, it is understood that some sort of geodesic distance metric should be used to discriminate the data samples.

Dimensionality Reduction Unsupervised Anomaly Detection

Gaussian process aided function comparison using noisy scattered data

1 code implementation17 Mar 2020 Abhinav Prakash, Rui Tuo, Yu Ding

This work proposes a new nonparametric method to compare the underlying mean functions given by two noisy datasets.

Methodology Applications

Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point-wise Anomaly Detection

no code implementations17 Jan 2020 Imtiaz Ahmed, Xia Ben Hu, Mithun P. Acharya, Yu Ding

Dimensionality reduction is considered as an important step for ensuring competitive performance in unsupervised learning such as anomaly detection.

Anomaly Detection Dimensionality Reduction

Effective Super-Resolution Method for Paired Electron Microscopic Images

no code implementations23 Jul 2019 Yanjun Qian, Jiaxi Xu, Lawrence F. Drummy, Yu Ding

The first difference is that in the electron imaging setting, we have a pair of physical high-resolution and low-resolution images, rather than a physical image with its downsampled counterpart.

Image and Video Processing

FReeNet: Multi-Identity Face Reenactment

no code implementations CVPR 2020 Jiangning Zhang, Xianfang Zeng, Mengmeng Wang, Yusu Pan, Liang Liu, Yong liu, Yu Ding, Changjie Fan

This paper presents a novel multi-identity face reenactment framework, named FReeNet, to transfer facial expressions from an arbitrary source face to a target face with a shared model.

Face Reenactment

Analysis of Massive Heterogeneous Temporal-Spatial Data with 3D Self-Organizing Map and Time Vector

no code implementations27 Sep 2016 Yu Ding

Self-organizing map(SOM) have been widely applied in clustering, this paper focused on centroids of clusters and what they reveal.

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