A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework. - Weixin Luo; Wen Liu 003; Shenghua Gao (ICCV, 2017)

Remembering history with convolutional LSTM for anomaly detection. - Weixin Luo; Wen Liu 003; Shenghua Gao (ICME, 2017)

Future Frame Prediction for Anomaly Detection - A New Baseline. - Wen Liu 003; Weixin Luo; Dongze Lian; Shenghua Gao (CVPR, 2018)

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading. - Kang Zhou 001; Zaiwang Gu; Wen Liu 003; Weixin Luo; Jun Cheng 003; Shenghua Gao; Jiang Liu 001 (EMBC, 2018)

Multi-Cell Multi-Task Convolutional Neural Networks for Diabetic Retinopathy Grading Kang. - Kang Zhou 001; Zaiwang Gu; Wen Liu 003; Weixin Luo; Jun Cheng 003; Shenghua Gao; Jiang Liu 001 (CoRR, 2018)

Liquid Warping GAN: A Unified Framework for Human Motion Imitation, Appearance Transfer and Novel View Synthesis. - Wen Liu 003; Zhixin Piao; Jie Min; Wenhan Luo; Lin Ma 002; Shenghua Gao (ICCV, 2019)

Margin Learning Embedded Prediction for Video Anomaly Detection with A Few Anomalies. - Wen Liu 003; Weixin Luo; Zhengxin Li; Peilin Zhao; Shenghua Gao (IJCAI, 2019)

Encoding Structure-Texture Relation with P-Net for Anomaly Detection in Retinal Images. - Kang Zhou 001; Yuting Xiao; Jianlong Yang; Jun Cheng 003; Wen Liu 003; Weixin Luo; Zaiwang Gu; Jiang Liu 001; Shenghua Gao (ECCV (20), 2020)

Graph Convolutional Neural Network for Skeleton-based Video Abnormal Behavior Detection. - Weixin Luo; Wen Liu 003; Shenghua Gao (Generalization with Deep Learning, 2021)

Appearance-Motion Memory Consistency Network for Video Anomaly Detection. - Ruichu Cai; Hao Zhang; Wen Liu 003; Shenghua Gao; Zhifeng Hao (AAAI, 2021)

Prior Based Human Completion. - Zibo Zhao; Wen Liu 003; Yanyu Xu; Xianing Chen; Weixin Luo; Lei Jin; Bohui Zhu; Tong Liu; Binqiang Zhao; Shenghua Gao (CVPR, 2021)

Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates. - Shenhan Qian; Zhi Tu; Yihao Zhi; Wen Liu 003; Shenghua Gao (ICCV, 2021)

Normal graph: Spatial temporal graph convolutional networks based prediction network for skeleton based video anomaly detection. - Weixin Luo; Wen Liu 003; Shenghua Gao (Neurocomputing, 2021)

SUNNet: A novel framework for simultaneous human parsing and pose estimation. - Yanyu Xu; Zhixin Piao; Ziheng Zhang; Wen Liu 003; Shenghua Gao (Neurocomputing, 2021)

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks. - Weixin Luo; Wen Liu 003; Dongze Lian; Jinhui Tang 001; Lixin Duan; Xi Peng 001; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

Coordinates Are NOT Lonely - Codebook Prior Helps Implicit Neural 3D representations. - Fukun Yin; Wen Liu 003; Zilong Huang; Pei Cheng; Tao Chen 003; Gang Yu 002 (NeurIPS, 2022)

Executing your Commands via Motion Diffusion in Latent Space. - Xin Chen 040; Biao Jiang; Wen Liu 003; Zilong Huang; Bin Fu; Tao Chen 003; Jingyi Yu; Gang Yu 002 (CoRR, 2022)

Liquid Warping GAN With Attention: A Unified Framework for Human Image Synthesis. - Wen Liu 003; Zhixin Piao; Zhi Tu; Wenhan Luo; Lin Ma 002; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Future Frame Prediction Network for Video Anomaly Detection. - Weixin Luo; Wen Liu 003; Dongze Lian; Shenghua Gao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Memorizing Structure-Texture Correspondence for Image Anomaly Detection. - Kang Zhou 001; Jing Li 117; Yuting Xiao; Jianlong Yang; Jun Cheng 003; Wen Liu 003; Weixin Luo; Jiang Liu 001; Shenghua Gao (IEEE Trans. Neural Networks Learn. Syst., 2022)

Executing your Commands via Motion Diffusion in Latent Space. - Xin Chen 040; Biao Jiang; Wen Liu 003; Zilong Huang; Bin Fu; Tao Chen 003; Gang Yu 002 (CVPR, 2023)

A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction. - Chongshan Lu; Fukun Yin; Xin Chen 040; Wen Liu 003; Tao Chen 003; Gang Yu 002; Jiayuan Fan 001 (ICCV, 2023)

PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation. - Yuhan Ding; Fukun Yin; Jiayuan Fan 001; Hui Li; Xin Chen 040; Wen Liu 003; Chongshan Lu; Gang Yu 002; Tao Chen 003 (NeurIPS, 2023)

MotionGPT: Human Motion as a Foreign Language. - Biao Jiang; Xin Chen 040; Wen Liu 003; Jingyi Yu; Gang Yu 002; Tao Chen 003 (NeurIPS, 2023)

Michelangelo: Conditional 3D Shape Generation based on Shape-Image-Text Aligned Latent Representation. - Zibo Zhao; Wen Liu 003; Xin Chen 040; Xianfang Zeng; Rui Wang 099; Pei Cheng; Bin Fu; Tao Chen 003; Gang Yu 002; Shenghua Gao (NeurIPS, 2023)

VQ-NeRF: Vector Quantization Enhances Implicit Neural Representations. - Yiying Yang; Wen Liu 003; Fukun Yin; Xin Chen 040; Gang Yu 002; Jiayuan Fan 001; Tao Chen 003 (CoRR, 2023)

PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation. - Yiying Yang; Fukun Yin; Wen Liu 003; Jiayuan Fan 001; Xin Chen 040; Gang Yu 002; Tao Chen 003 (AAAI, 2024)

Paint3D: Paint Anything 3D With Lighting-Less Texture Diffusion Models. - Xianfang Zeng; Xin Chen 040; Zhongqi Qi; Wen Liu 003; Zibo Zhao; Zhibin Wang 004; Bin Fu; Yong Liu 007; Gang Yu 002 (CVPR, 2024)

CAD-MLLM: Unifying Multimodality-Conditioned CAD Generation With MLLM. - Jingwei Xu; Chenyu Wang; Zibo Zhao; Wen Liu 003; Yi Ma 001; Shenghua Gao (CoRR, 2024)

Instruct Pix-to-3D: Instructional 3D object generation from a single image. - Weiwei Cai; Wen Liu 003; Wanzhang Li; Zibo Zhao; Fukun Yin; Xin Chen 018; Lei Zhao; Tao Chen 003 (Neurocomputing, 2024)

Unbounded-GS: Extending 3D Gaussian Splatting With Hybrid Representation for Unbounded Large-Scale Scene Reconstruction. - Wanzhang Li; Fukun Yin; Wen Liu 003; Yiying Yang; Xin Chen 040; Biao Jiang; Gang Yu 002; Jiayuan Fan 001 (IEEE Robotics Autom. Lett., 2024)

ShapeGPT: 3D Shape Generation With a Unified Multi-Modal Language Model. - Fukun Yin; Xin Chen 040; Chi Zhang 007; Biao Jiang; Zibo Zhao; Wen Liu 003; Gang Yu 002; Tao Chen 003 (IEEE Trans. Multim., 2025)