Wen Liu

According to our database, Wen Liu authored at least 30 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Instruct Pix-to-3D: Instructional 3D object generation from a single image.

Weiwei Cai, Wen Liu, Wanzhang Li, Zibo Zhao, Fukun Yin, Xin Chen, Lei Zhao, Tao Chen

Neurocomputing, 2024

Paint3D: Paint Anything 3D With Lighting-Less Texture Diffusion Models.

Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation.

Yiying Yang, Fukun Yin, Wen Liu, Jiayuan Fan, Xin Chen, Gang Yu, Tao Chen

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations.

Yiying Yang, Wen Liu, Fukun Yin, Xin Chen, Gang Yu, Jiayuan Fan, Tao Chen

CoRR, 2023

Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation.

Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao

CoRR, 2023

Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation.

Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

MotionGPT: Human Motion as a Foreign Language.

Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, Tao Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation.

Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang Yu, Tao Chen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction.

Chongshan Lu, Fukun Yin, Xin Chen, Wen Liu, Tao Chen, Gang Yu, Jiayuan Fan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Executing your Commands via Motion Diffusion in Latent Space.

Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Gang Yu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Memorizing Structure-Texture Correspondence for Image Anomaly Detection.

Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao

IEEE Trans. Neural Networks Learn. Syst., 2022

Future Frame Prediction Network for Video Anomaly Detection.

Weixin Luo, Wen Liu, Dongze Lian, Shenghua Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Executing your Commands via Motion Diffusion in Latent Space.

Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu

CoRR, 2022

Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D representations.

Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks.

Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao

IEEE Trans. Pattern Anal. Mach. Intell., 2021

SUNNet: A novel framework for simultaneous human parsing and pose estimation.

Yanyu Xu, Zhixin Piao, Ziheng Zhang, Wen Liu, Shenghua Gao

Neurocomputing, 2021

Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection.

Weixin Luo, Wen Liu, Shenghua Gao

Neurocomputing, 2021

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

Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Prior Based Human Completion.

Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Appearance-Motion Memory Consistency Network for Video Anomaly Detection.

Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection.

Weixin Luo, Wen Liu, Shenghua Gao

Proceedings of the Generalization with Deep Learning: For Improvement on Sensing Capability, 2021

2020

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

Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies.

Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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

Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

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

Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu

CoRR, 2018

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

Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

Future Frame Prediction for Anomaly Detection - A New Baseline.

Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Remembering history with convolutional LSTM for anomaly detection.

Weixin Luo, Wen Liu, Shenghua Gao

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

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

Weixin Luo, Wen Liu, Shenghua Gao

Proceedings of the IEEE International Conference on Computer Vision, 2017