Miaomiao Liu

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 22

Top Topics

High Frame Rate

Depth Estimation

Feature Representation

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Jinwu Wang, Wei Mao, Miaomiao Liu
MIDGET: Music Conditioned 3D Dance Generation. CoRR (2024)
Hoang Chuong Nguyen, Tianyu Wang, José M. Álvarez, Miaomiao Liu
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation. CoRR (2024)
Huiyu Gao, Jiahao Ma, David Ahmedt-Aristizabal, Chuong Nguyen, Miaomiao Liu
SOAF: Scene Occlusion-aware Neural Acoustic Field. CoRR (2024)
Wei Mao, Richard Hartley, Mathieu Salzmann, Miaomiao Liu
Neural SDF Flow for 3D Reconstruction of Dynamic Scenes. ICLR (2024)
Jinwu Wang, Wei Mao, Miaomiao Liu
MIDGET: Music Conditioned 3D Dance Generation. AI (1) (2023)
Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's Eye View. CoRR (2023)
Huiyu Gao, Wei Mao, Miaomiao Liu
VisFusion: Visibility-aware Online 3D Scene Reconstruction from Videos. CoRR (2023)
Huiyu Gao, Wei Mao, Miaomiao Liu
VisFusion: Visibility-Aware Online 3D Scene Reconstruction from Videos. CVPR (2023)
Hao Yang, Liyuan Pan, Yan Yang, Miaomiao Liu
LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network. CoRR (2023)
Yan Yang, Liyuan Pan, Liu Liu, Miaomiao Liu
K3DN: Disparity-Aware Kernel Estimation for Dual-Pixel Defocus Deblurring. CVPR (2023)
Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez
Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View. ICCV (2023)
Tianyu Wang, Kee Siong Ng, Miaomiao Liu
Variational Inference for Scalable 3D Object-centric Learning. CoRR (2023)
Jiayu Yang, Wei Mao, Jose M. Alvarez, Miaomiao Liu
Cost Volume Pyramid Based Depth Inference for Multi-View Stereo. IEEE Trans. Pattern Anal. Mach. Intell. 44 (9) (2022)
Wei Mao, Miaomiao Liu, Mathieu Salzmann
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CVPR (2022)
Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann
Contact-aware Human Motion Forecasting. NeurIPS (2022)
Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. CoRR (2022)
Wei Mao, Miaomiao Liu, Mathieu Salzmann
Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. CoRR (2022)
Yupei Zheng, Xin Yu, Miaomiao Liu, Shunli Zhang
Single-Image Deraining via Recurrent Residual Multiscale Networks. IEEE Trans. Neural Networks Learn. Syst. 33 (3) (2022)
Wei Mao, Miaomiao Liu, Richard I. Hartley, Mathieu Salzmann
Contact-aware Human Motion Forecasting. CoRR (2022)
Jiayu Yang, Jose M. Alvarez, Miaomiao Liu
Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. CVPR (2022)
Liyuan Pan, Richard Hartley, Cedric Scheerlinck, Miaomiao Liu, Xin Yu, Yuchao Dai
High Frame Rate Video Reconstruction Based on an Event Camera. IEEE Trans. Pattern Anal. Mach. Intell. 44 (5) (2022)
Wei Mao, Miaomiao Liu, Mathieu Salzmann
Generating Smooth Pose Sequences for Diverse Human Motion Prediction. ICCV (2021)