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
1482017
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
1312015
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
1232017
Deep edge-aware filters
L Xu, J Ren, Q Yan, R Liao, J Jia
International Conference on Machine Learning, 1669-1678, 2015
1222015
Learning Important Spatial Pooling Regions for Scene Classification
D Lin, C Lu, R Liao, J Jia
IEEE Computer Vision and Pattern Recognition, 2014
1042014
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
942015
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
652018
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
59*2017
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
522019
Nervenet: Learning structured policy with graph neural networks
T Wang, R Liao, J Ba, S Fidler
462018
Learning deep parsimonious representations
R Liao, A Schwing, R Zemel, R Urtasun
Advances in Neural Information Processing Systems, 5076-5084, 2016
452016
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
422017
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
412016
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
332018
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
Lanczosnet: Multi-scale deep graph convolutional networks
R Liao, Z Zhao, R Urtasun, RS Zemel
arXiv preprint arXiv:1901.01484, 2019
322019
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
292010
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
232018
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
212018
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