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
1212017
Deep edge-aware filters
L Xu, J Ren, Q Yan, R Liao, J Jia
International Conference on Machine Learning, 1669-1678, 2015
1172015
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
1172015
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
1072017
Learning Important Spatial Pooling Regions for Scene Classification
D Lin, C Lu, R Liao, J Jia
IEEE Computer Vision and Pattern Recognition, 2014
1012014
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
822015
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
582018
Learning to generate images with perceptual similarity metrics
J Snell, K Ridgeway, R Liao, B Roads, MC Mozer, RS Zemel
arXiv preprint arXiv:1511.06409, 2017
57*2017
Learning deep parsimonious representations
R Liao, A Schwing, R Zemel, R Urtasun
Advances in Neural Information Processing Systems, 5076-5084, 2016
422016
Nervenet: Learning structured policy with graph neural networks
T Wang, R Liao, J Ba, S Fidler
412018
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
382017
Normalizing the normalizers: Comparing and extending network normalization schemes
M Ren, R Liao, R Urtasun, FH Sinz, RS Zemel
arXiv preprint arXiv:1611.04520, 2016
382016
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
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
322011
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
292018
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
282010
Semantic segmentation with object clique potential
X Qi, J Shi, S Liu, R Liao, J Jia
Proceedings of the IEEE International Conference on Computer Vision, 2587-2595, 2015
262015
Understanding short-horizon bias in stochastic meta-optimization
Y Wu, M Ren, R Liao, R Grosse
arXiv preprint arXiv:1803.02021, 2018
222018
Lanczosnet: Multi-scale deep graph convolutional networks
R Liao, Z Zhao, R Urtasun, RS Zemel
arXiv preprint arXiv:1901.01484, 2019
202019
Graph partition neural networks for semi-supervised classification
R Liao, M Brockschmidt, D Tarlow, AL Gaunt, R Urtasun, R Zemel
arXiv preprint arXiv:1803.06272, 2018
192018
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