Wen Liu

44 papers A* 15A 1Journal 25Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Unified multi-modality conditional latent diffusion model for point cloud generation.
Pattern Recognit.
Yihang Yang, Zibo Zhao, Fukun Yin, Wen Liu, Yuhan Ding, Biao Jiang, Gang Yu, Tao Chen
2026 J jnl
Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection.
CoRR
Dacheng Qi, Chenyu Wang, Jingwei Xu, Tianzhe Chu, Zibo Zhao, Wen Liu, Wenrui Ding, Yi Ma, Shenghua Gao
2025 J jnl
ShapeGPT: 3D Shape Generation With a Unified Multi-Modal Language Model.
IEEE Trans. Multim.
Fukun Yin, Xin Chen, Chi Zhang, Biao Jiang, Zibo Zhao, Wen Liu, Gang Yu, Tao Chen
2024 J jnl
CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM.
CoRR
Jingwei Xu, Chenyu Wang, Zibo Zhao, Wen Liu, Yi Ma, Shenghua Gao
2024 J jnl
Instruct Pix-to-3D: Instructional 3D object generation from a single image.
Neurocomputing
Weiwei Cai, Wen Liu, Wanzhang Li, Zibo Zhao, Fukun Yin, Xin Chen, Lei Zhao, Tao Chen
2024 A* conf
PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation.
AAAI
Yiying Yang, Fukun Yin, Wen Liu, Jiayuan Fan, Xin Chen, Gang Yu, Tao Chen
2024 A* conf
Paint3D: Paint Anything 3D With Lighting-Less Texture Diffusion Models.
CVPR
Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu
2024 J jnl
Unbounded-GS: Extending 3D Gaussian Splatting With Hybrid Representation for Unbounded Large-Scale Scene Reconstruction.
IEEE Robotics Autom. Lett.
Wanzhang Li, Fukun Yin, Wen Liu, Yiying Yang, Xin Chen, Biao Jiang, Gang Yu, Jiayuan Fan
2023 A* conf
A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction.
ICCV
Chongshan Lu, Fukun Yin, Xin Chen, Wen Liu, Tao Chen, Gang Yu, Jiayuan Fan
2023 A* conf
Executing your Commands via Motion Diffusion in Latent Space.
CVPR
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Gang Yu
2023 A* conf
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation.
NeurIPS
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao
2023 J jnl
Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation.
CoRR
Zibo Zhao, Wen Liu, Xin Chen, Xianfang Zeng, Rui Wang, Pei Cheng, Bin Fu, Tao Chen, Gang Yu, Shenghua Gao
2023 A* conf
MotionGPT: Human Motion as a Foreign Language.
NeurIPS
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, Tao Chen
2023 J jnl
MotionGPT: Human Motion as a Foreign Language.
CoRR
Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, Tao Chen
2023 A* conf
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation.
NeurIPS
Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang Yu, Tao Chen
2023 J jnl
PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation.
CoRR
Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang Yu, Tao Chen
2023 J jnl
Paint3D: Paint Anything 3D with Lighting-Less Texture Diffusion Models.
CoRR
Xianfang Zeng, Xin Chen, Zhongqi Qi, Wen Liu, Zibo Zhao, Zhibin Wang, Bin Fu, Yong Liu, Gang Yu
2023 J jnl
VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations.
CoRR
Yiying Yang, Wen Liu, Fukun Yin, Xin Chen, Gang Yu, Jiayuan Fan, Tao Chen
2022 J jnl
Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D Representations.
CoRR
Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu
2022 A* conf
Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D representations.
NeurIPS
Fukun Yin, Wen Liu, Zilong Huang, Pei Cheng, Tao Chen, Gang Yu
2022 J jnl
Executing your Commands via Motion Diffusion in Latent Space.
CoRR
Xin Chen, Biao Jiang, Wen Liu, Zilong Huang, Bin Fu, Tao Chen, Jingyi Yu, Gang Yu
2022 J jnl
Future Frame Prediction Network for Video Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Weixin Luo, Wen Liu, Dongze Lian, Shenghua Gao
2022 J jnl
Liquid Warping GAN With Attention: A Unified Framework for Human Image Synthesis.
IEEE Trans. Pattern Anal. Mach. Intell.
Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao
2022 J jnl
Memorizing Structure-Texture Correspondence for Image Anomaly Detection.
IEEE Trans. Neural Networks Learn. Syst.
Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao
2021 A* conf
Appearance-Motion Memory Consistency Network for Video Anomaly Detection.
AAAI
Ruichu Cai, Hao Zhang, Wen Liu, Shenghua Gao, Zhifeng Hao
2021 — ch.
Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection.
Generalization with Deep Learning
Weixin Luo, Wen Liu, Shenghua Gao
2021 J jnl
Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection.
Neurocomputing
Weixin Luo, Wen Liu, Shenghua Gao
2021 A* conf
Prior Based Human Completion.
CVPR
Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao
2021 J jnl
SUNNet: A novel framework for simultaneous human parsing and pose estimation.
Neurocomputing
Yanyu Xu, Zhixin Piao, Ziheng Zhang, Wen Liu, Shenghua Gao
2021 A* conf
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates.
ICCV
Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao
2021 J jnl
Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates.
CoRR
Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao
2021 J jnl
Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Weixin Luo, Wen Liu, Dongze Lian, Jinhui Tang, Lixin Duan, Xi Peng, Shenghua Gao
2020 — conf
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images.
ECCV (20)
Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao
2020 J jnl
Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images.
CoRR
Kang Zhou, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Zaiwang Gu, Jiang Liu, Shenghua Gao
2020 J jnl
Liquid Warping GAN with Attention: A Unified Framework for Human Image Synthesis.
CoRR
Wen Liu, Zhixin Piao, Zhi Tu, Wenhan Luo, Lin Ma, Shenghua Gao
2019 A* conf
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis.
ICCV
Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao
2019 J jnl
Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis.
CoRR
Wen Liu, Zhixin Piao, Jie Min, Wenhan Luo, Lin Ma, Shenghua Gao
2019 A* conf
Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies.
IJCAI
Wen Liu, Weixin Luo, Zhengxin Li, Peilin Zhao, Shenghua Gao
2018 A* conf
Future Frame Prediction for Anomaly Detection - A New Baseline.
CVPR
Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao
2018 J jnl
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang.
CoRR
Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu
2018 — conf
Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading.
EMBC
Kang Zhou, Zaiwang Gu, Wen Liu, Weixin Luo, Jun Cheng, Shenghua Gao, Jiang Liu
2017 A* conf
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework.
ICCV
Weixin Luo, Wen Liu, Shenghua Gao
2017 J jnl
Future Frame Prediction for Anomaly Detection - A New Baseline.
CoRR
Wen Liu, Weixin Luo, Dongze Lian, Shenghua Gao
2017 A conf
Remembering history with convolutional LSTM for anomaly detection.
ICME
Weixin Luo, Wen Liu, Shenghua Gao