Search Results for author: Wen Liu

Found 11 papers, 8 papers with code

Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates

1 code implementation ICCV 2021 Shenhan Qian, Zhi Tu, YiHao Zhi, Wen Liu, Shenghua Gao

Co-speech gesture generation is to synthesize a gesture sequence that not only looks real but also matches with the input speech audio.

Gesture Generation

Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis

3 code implementations18 Nov 2020 Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao

Also, we build a new dataset, namely iPER dataset, for the evaluation of human motion imitation, appearance transfer, and novel view synthesis.

Denoising Image Generation +1

Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images

1 code implementation ECCV 2020 Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao

In the end, we further utilize the reconstructed image to extract the structure and measure the difference between structure extracted from original and the reconstructed image.

Anomaly Detection

Channel Distillation: Channel-Wise Attention for Knowledge Distillation

1 code implementation2 Jun 2020 Zaida Zhou, Chaoran Zhuge, Xinwei Guan, Wen Liu

Knowledge distillation is to transfer the knowledge from the data learned by the teacher network to the student network, so that the student has the advantage of less parameters and less calculations, and the accuracy is close to the teacher.

Knowledge Distillation

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis

2 code implementations ICCV 2019 Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao

In this paper, we propose to use a 3D body mesh recovery module to disentangle the pose and shape, which can not only model the joint location and rotation but also characterize the personalized body shape.

Denoising Novel View Synthesis

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading

no code implementations31 Aug 2018 Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu

To considering the relationships of images with different stages, we propose a \textbf{Multi-Task} learning strategy which predicts the label with both classification and regression.

Diabetic Retinopathy Grading General Classification +1

Future Frame Prediction for Anomaly Detection – A New Baseline

1 code implementation CVPR 2018 Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao

To predict a future frame with higher quality for normal events, other than the commonly used appearance (spatial) constraints on intensity and gradient, we also introduce a motion (temporal) constraint in video prediction by enforcing the optical flow between predicted frames and ground truth frames to be consistent, and this is the first work that introduces a temporal constraint into the video prediction task.

Anomaly Detection Optical Flow Estimation +1

Future Frame Prediction for Anomaly Detection -- A New Baseline

1 code implementation28 Dec 2017 Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao

To predict a future frame with higher quality for normal events, other than the commonly used appearance (spatial) constraints on intensity and gradient, we also introduce a motion (temporal) constraint in video prediction by enforcing the optical flow between predicted frames and ground truth frames to be consistent, and this is the first work that introduces a temporal constraint into the video prediction task.

Anomaly Detection Optical Flow Estimation +1

A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

1 code implementation ICCV 2017 Weixin Luo, Wen Liu, Shenghua Gao

Motivated by the capability of sparse coding based anomaly detection, we propose a Temporally-coherent Sparse Coding (TSC) where we enforce similar neighbouring frames be encoded with similar reconstruction coefficients.

Anomaly Detection

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