Yu Tian
Yu Tian
Ph.D. Student, Department of Computer Science, Rutgers University
Verified email at cs.rutgers.edu
Title
Cited by
Cited by
Year
Semantic graph convolutional networks for 3d human pose regression
L Zhao, X Peng, Y Tian, M Kapadia, DN Metaxas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
1862019
CR-GAN: learning complete representations for multi-view generation
Y Tian, X Peng, L Zhao, S Zhang, DN Metaxas
International Joint Conference on Artificial Intelligence (IJCAI), 2018
942018
Learning to forecast and refine residual motion for image-to-video generation
L Zhao, X Peng, Y Tian, M Kapadia, D Metaxas
Proceedings of the European conference on computer vision (ECCV), 387-403, 2018
652018
Joint optimization for consistent multiple graph matching
J Yan, Y Tian, H Zha, X Yang, Y Zhang, SM Chu
Proceedings of the IEEE international conference on computer vision (ICCV …, 2013
622013
On the convergence of graph matching: Graduated assignment revisited
Y Tian, J Yan, H Zhang, Y Zhang, X Yang, H Zha
European conference on computer vision (ECCV), 821-835, 2012
492012
Rethinking kernel methods for node representation learning on graphs
Y Tian, L Zhao, X Peng, D Metaxas
Advances in neural information processing systems (Neurips), 2019
92019
A good image generator is what you need for high-resolution video synthesis
Y Tian, J Ren, M Chai, K Olszewski, X Peng, DN Metaxas, S Tulyakov
International Conference on Learning Representations (ICLR), 2021
62021
Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks
L Zhao, X Peng, Y Tian, M Kapadia, DN Metaxas
International Journal of Computer Vision 128 (10), 2514-2533, 2020
22020
Dual Projection Generative Adversarial Networks for Conditional Image Generation
L Han, MR Min, A Stathopoulos, Y Tian, R Gao, A Kadav, D Metaxas
Proceedings of the IEEE international conference on computer vision (ICCV), 2021
12021
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders
L Han, SH Musunuri, MR Min, R Gao, Y Tian, D Metaxas
arXiv preprint arXiv:2110.08718, 2021
2021
Continual Learning Long Short Term Memory
X Guo, Y Tian, Q Xue, P Lampropoulos, S Eliuk, K Barner, X Wang
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
2020
Semantic Graph Convolutional Networks for 3D Human Pose Regression Download PDF Open Website
L Zhao, X Peng, Y Tian, M Kapadia, DN Metaxas
Rethinking Kernel Methods for Node Representation Learning on Graphs: Supplementary Material
Y Tian, L Zhao, X Peng, DN Metaxas
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