Renjie Liao
Renjie Liao
在 cs.toronto.edu 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Detail-revealing deep video super-resolution
X Tao, H Gao, R Liao, J Wang, J Jia
Proceedings of the IEEE International Conference on Computer Vision, 4472-4480, 2017
1862017
3d graph neural networks for rgbd semantic segmentation
X Qi, R Liao, J Jia, S Fidler, R Urtasun
Proceedings of the IEEE International Conference on Computer Vision, 5199-5208, 2017
1682017
Video super-resolution via deep draft-ensemble learning
R Liao, X Tao, R Li, Z Ma, J Jia
Proceedings of the IEEE International Conference on Computer Vision, 531-539, 2015
1482015
Deep edge-aware filters
L Xu, J Ren, Q Yan, R Liao, J Jia
International Conference on Machine Learning, 1669-1678, 2015
1402015
Learning Important Spatial Pooling Regions for Scene Classification
D Lin, C Lu, R Liao, J Jia
IEEE Computer Vision and Pattern Recognition, 2014
1112014
Geonet: Geometric neural network for joint depth and surface normal estimation
X Qi, R Liao, Z Liu, R Urtasun, J Jia
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1092018
Handling motion blur in multi-frame super-resolution
Z Ma, R Liao, X Tao, L Xu, J Jia, E Wu
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
1022015
Upsnet: A unified panoptic segmentation network
Y Xiong, R Liao, H Zhao, R Hu, M Bai, E Yumer, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2019
832019
Learning to generate images with perceptual similarity metrics
J Snell, K Ridgeway, R Liao, B Roads, MC Mozer, RS Zemel
IEEE International Conference on Image Processing, 2017
74*2017
Nervenet: Learning structured policy with graph neural networks
T Wang, R Liao, J Ba, S Fidler
International Conference on Learning Representations, 2018
642018
Situation recognition with graph neural networks
R Li, M Tapaswi, R Liao, J Jia, R Urtasun, S Fidler
Proceedings of the IEEE International Conference on Computer Vision, 4173-4182, 2017
622017
Learning deep parsimonious representations
R Liao, A Schwing, R Zemel, R Urtasun
Advances in Neural Information Processing Systems, 5076-5084, 2016
592016
Lanczosnet: Multi-scale deep graph convolutional networks
R Liao, Z Zhao, R Urtasun, RS Zemel
International Conference on Learning Representations, 2019
582019
Learning deep structured active contours end-to-end
D Marcos, D Tuia, B Kellenberger, L Zhang, M Bai, R Liao, R Urtasun
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
552018
Normalizing the normalizers: Comparing and extending network normalization schemes
M Ren, R Liao, R Urtasun, FH Sinz, RS Zemel
International Conference on Learning Representations, 2016
512016
Understanding short-horizon bias in stochastic meta-optimization
Y Wu, M Ren, R Liao, R Grosse
International Conference on Learning Representations, 2018
362018
Inference in probabilistic graphical models by graph neural networks
KJ Yoon, R Liao, Y Xiong, L Zhang, E Fetaya, R Urtasun, R Zemel, ...
2019 53rd Asilomar Conference on Signals, Systems, and Computers, 868-875, 2019
342019
Classification of benign and malignant breast tumors in ultrasound images based on multiple sonographic and textural features
R Liao, T Wan, Z Qin
2011 Third International Conference on Intelligent Human-Machine Systems and …, 2011
332011
A novel serial crime prediction model based on Bayesian learning theory
R Liao, X Wang, L Li, Z Qin
2010 International Conference on Machine Learning and Cybernetics 4, 1757-1762, 2010
322010
Graph partition neural networks for semi-supervised classification
R Liao, M Brockschmidt, D Tarlow, AL Gaunt, R Urtasun, R Zemel
International Conference on Learning Representations (Workshop Track), 2018
292018
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