Wen Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 25

Top Topics

Diabetic Retinopathy

Detecting Anomalous

Anomaly Detection

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Yiying Yang, Fukun Yin, Wen Liu, Jiayuan Fan, Xin Chen, Gang Yu, Tao Chen
PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation. AAAI (2024)
Weiwei Cai, Wen Liu, Wanzhang Li, Zibo Zhao, Fukun Yin, Xin Chen, Lei Zhao, Tao Chen
Instruct Pix-to-3D: Instructional 3D object generation from a single image. Neurocomputing 600 (2024)
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation. CoRR (2023)
Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao
Memorizing Structure-Texture Correspondence for Image Anomaly Detection. IEEE Trans. Neural Networks Learn. Syst. 33 (6) (2022)
Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao
Liquid Warping GAN With Attention: A Unified Framework for Human Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Weixin Luo, Wen Liu, Dongze Lian, Shenghua Gao
Future Frame Prediction Network for Video Anomaly Detection. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Yanyu Xu, Zhixin Piao, Ziheng Zhang, Wen Liu, Shenghua Gao
SUNNet: A novel framework for simultaneous human parsing and pose estimation. Neurocomputing 444 (2021)
Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao
Appearance-Motion Memory Consistency Network for Video Anomaly Detection. AAAI (2021)
Weixin Luo, Wen Liu, Shenghua Gao
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection. Neurocomputing 444 (2021)
Shenhan Qian, Zhi Tu, YiHao Zhi, Wen Liu, Shenghua Gao
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates. CoRR (2021)
Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates. ICCV (2021)
Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao
Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 43 (3) (2021)
Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao
Prior Based Human Completion. CVPR (2021)
Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis. CoRR (2020)
Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. CoRR (2020)
Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. ECCV (20) (2020)
Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. ICCV (2019)
Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. CoRR (2019)
Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. IJCAI (2019)
Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang. CoRR (2018)
Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao
Future Frame Prediction for Anomaly Detection - A New Baseline. CVPR (2018)
Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading. EMBC (2018)
Weixin Luo, Wen Liu, Shenghua Gao
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework. ICCV (2017)
Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao
Future Frame Prediction for Anomaly Detection - A New Baseline. CoRR (2017)
Weixin Luo, Wen Liu, Shenghua Gao
Remembering history with convolutional LSTM for anomaly detection. ICME (2017)