Yiyi Liao
Yiyi Liao
Zhejiang University
Bestätigte E-Mail-Adresse bei zju.edu.cn - Startseite
Titel
Zitiert von
Zitiert von
Jahr
On the integration of optical flow and action recognition
L Sevilla-Lara, Y Liao, F Güney, V Jampani, A Geiger, MJ Black
German Conference on Pattern Recognition (GCPR), 2018, 2018
1202018
Deep marching cubes: Learning explicit surface representations
Y Liao, S Donne, A Geiger
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2018, 2018
1052018
Understand scene categories by objects: A semantic regularized scene classifier using convolutional neural networks
Y Liao, S Kodagoda, Y Wang, L Shi, Y Liu
IEEE International Conf. on Robotics and Automation (ICRA), 2016, 2016
902016
Graf: Generative radiance fields for 3d-aware image synthesis
K Schwarz, Y Liao, M Niemeyer, A Geiger
Advances in Neural Information Processing Systems (NeurIPS), 2020, 2020
882020
Parse geometry from a line: Monocular depth estimation with partial laser observation
Y Liao, L Huang, Y Wang, S Kodagoda, Y Yu, Y Liu
IEEE International Conf. on Robotics and Automation (ICRA), 2017, 2017
802017
Graph regularized auto-encoders for image representation
Y Liao, Y Wang, Y Liu
IEEE Transactions on Image Processing 26 (6), 2839-2852, 2016
392016
Towards unsupervised learning of generative models for 3d controllable image synthesis
Y Liao, K Schwarz, L Mescheder, A Geiger
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2020, 2020
342020
Place classification with a graph regularized deep neural network
Y Liao, S Kodagoda, Y Wang, L Shi, Y Liu
IEEE Transactions on Cognitive and Developmental Systems 9 (4), 304-315, 2016
202016
Filtering based adaptive visual odometry sensor framework robust to blurred images
H Zhao, Y Liu, X Xie, Y Liao, X Liu
Sensors 16 (7), 1040, 2016
172016
KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs
C Reiser, S Peng, Y Liao, A Geiger
IEEE International Conf. on Computer Vision (ICCV), 2021, 2021
152021
Connecting the dots: Learning representations for active monocular depth estimation
G Riegler, Y Liao, S Donne, V Koltun, A Geiger
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2019, 2019
142019
LOIND: An illumination and scale invariant RGB-D descriptor
G Feng, Y Liu, Y Liao
IEEE International Conf. on Robotics and Automation (ICRA), 2015, 2015
132015
General subspace constrained non-negative matrix factorization for data representation
Y Liu, Y Liao, L Tang, F Tang, W Liu
Neurocomputing 173, 224-232, 2016
112016
Scalable learning framework for traversable region detection fusing with appearance and geometrical information
Y Wang, Y Liu, Y Liao, R Xiong
IEEE Transactions on Intelligent Transportation Systems 18 (12), 3267-3281, 2017
72017
Traversable region detection with a learning framework
Q Zhang, Y Liu, Y Liao, Y Wang
IEEE International Conf. on Robotics and Automation (ICRA), 2015, 2015
62015
Image representation learning using graph regularized auto-encoders
Y Liao, Y Wang, Y Liu
arXiv preprint arXiv:1312.0786, 2013
52013
Learning steering kernels for guided depth completion
L Liu, Y Liao, Y Wang, A Geiger, Y Liu
IEEE Transactions on Image Processing 30, 2850-2861, 2021
32021
Shape As Points: A Differentiable Poisson Solver
S Peng, C Jiang, Y Liao, M Niemeyer, M Pollefeys, A Geiger
Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021
22021
SMD-Nets: Stereo Mixture Density Networks
F Tosi, Y Liao, C Schmitt, A Geiger
IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), 2021, 2021
12021
On the Frequency Bias of Generative Models
K Schwarz, Y Liao, A Geiger
Advances in Neural Information Processing Systems (NeurIPS), 2021, 2021
2021
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