Yiyi Liao

Zhejiang University

I am an assistant professor in Zhejiang University. Before that, I was a Postdoc in Autonomous Vision Group, a part of the University of Tübingen and the MPI for Intelligent Systems, working with Prof. Andreas Geiger. I received my Ph.D. in Control Science and Engineering from Zhejiang University in June 2018 and the B.S. degree from Xi’an Jiaotong University in 2013.

My research interest lies in 3D computer vision, including 3D scene understanding, 3D reconstruction, depth estimation and 3D controllable image synthesis.

For prospective students interested in computer vision, feel free to contact me via email!

news

Sep 16, 2022 Our VoxGRAF is accepted to NeurIPS 2022.
Sep 14, 2022 I will serve as an Area Chair for CVPR 2023.
Sep 11, 2022 One paper is accepted to CoRL 2022.
Aug 5, 2022 Our Panoptic NeRF is accepted to 3DV 2022.
Jul 5, 2022 Our work on category-level object pose estimation leveraging 3D-aware generative models is accepted to ECCV 2022.
Jun 6, 2022 I was invited to give a talk at the 3D-DLAD workshop at IV 2022.
Jun 4, 2022 Our KITTI-360 is accepted to TPAMI and we released all benchmarks! Check out our blog for more information of the benchmarks.
Apr 15, 2022 I will serve as an Area Chair for 3DV 2022.
Sep 29, 2021 Two papers (1 oral, 1 poster) are accepted to NeurIPS 2021.
Jun 24, 2021 Our work SMD-Nets was featured on the CVPR Daily and the BEST OF CVPR of Computer Vision News.

selected publications

Full publication list can be found on Google Scholar.
*equal contribution; corresponding author.

2022

  1. VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
    VoxGRAF: Fast 3D-Aware Image Synthesis with Sparse Voxel Grids
    In Advances in Neural Information Processing Systems (NeurIPS) 2022
  2. Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
    Panoptic NeRF: 3D-to-2D Label Transfer for Panoptic Urban Scene Segmentation
    Fu, Xiao*, Zhang, Shangzhan*, Chen, Tianrun, Lu, Yichong, Zhu, Lanyun, Zhou, Xiaowei, Geiger, Andreas, and Liao, Yiyi
    In Proc. of the International Conf. on 3D Vision (3DV) 2022
  3. A Visual Navigation Perspective for Category-Level Object Pose Estimation
    A Visual Navigation Perspective for Category-Level Object Pose Estimation
    In Proc. of the European Conf. on Computer Vision (ECCV) 2022
  4. KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
    KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D
    Liao, Yiyi, Xie, Jun, and Geiger, Andreas
    IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI) 2022

2021

  1. Shape As Points: A Differentiable Poisson Solver
    Shape As Points: A Differentiable Poisson Solver
    In Advances in Neural Information Processing Systems (NeurIPS) 2021
  2. On the Frequency Bias of Generative Models
    On the Frequency Bias of Generative Models
    Schwarz, Katja, Liao, Yiyi, and Geiger, Andreas
    In Advances in Neural Information Processing Systems (NeurIPS) 2021
  3. KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
    KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
    In Proc. of the IEEE International Conf. on Computer Vision (ICCV) 2021
  4. SMD-Nets: Stereo Mixture Density Networks
    SMD-Nets: Stereo Mixture Density Networks
    In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2021
  5. Learning Steering Kernels for Guided Depth Completion
    Learning Steering Kernels for Guided Depth Completion
    IEEE Trans. on Image Processing (TIP) 2021

2020

  1. GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
    GRAF: Generative Radiance Fields for 3D-Aware Image Synthesis
    In Advances in Neural Information Processing Systems (NeurIPS) 2020
  2. Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
    Towards Unsupervised Learning of Generative Models for 3D Controllable Image Synthesis
    In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2020

2019

  1. Connecting the Dots: Learning Representations for Active Monocular Depth Estimation
    Connecting the Dots: Learning Representations for Active Monocular Depth Estimation
    In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2019

2018

  1. Deep Marching Cubes: Learning Explicit Surface Representations
    Deep Marching Cubes: Learning Explicit Surface Representations
    Liao, Yiyi, Donné, Simon, and Geiger, Andreas
    In Proc. IEEE Conf. on Computer Vision and Pattern Recognition (CVPR) 2018
  2. On the Integration of Optical Flow and Action Recognition
    On the Integration of Optical Flow and Action Recognition
    In German Conference on Pattern Recognition (GCPR) 2018

2017

  1. Graph Regularized Auto-encoders for Image Representation
    Graph Regularized Auto-encoders for Image Representation
    Liao, Yiyi, Wang, Yue, and Liu, Yong
    IEEE Trans. on Image Processing (TIP) 2017
  2. Place Classification with a Graph Regularized Deep Neural Network
    Place Classification with a Graph Regularized Deep Neural Network
    IEEE Trans. on Cognitive and Developmental Systems (TCDS) 2017
  3. Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation
    Parse Geometry from a Line: Monocular Depth Estimation with Partial Laser Observation
    In Proc. of the IEEE International Conf. on Robotics and Automation (ICRA) 2017

2016

  1. Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks
    Understand Scene Categories by Objects: A Semantic Regularized Scene Classifier Using Convolutional Neural Networks
    In Proc. of the IEEE International Conf. on Robotics and Automation (ICRA) 2016