Follow
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
5322019
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
1582018
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
1422021
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
1072018
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
732013
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
582012
HiCLIP: Contrastive language-image pretraining with hierarchy-aware attention
S Geng, J Yuan, Y Tian, Y Chen, Y Zhang
arXiv preprint arXiv:2303.02995, 2023
262023
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
222019
Hierarchically self-supervised transformer for human skeleton representation learning
Y Chen, L Zhao, J Yuan, Y Tian, Z Xia, S Geng, L Han, DN Metaxas
European Conference on Computer Vision, 185-202, 2022
182022
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
172021
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, 2514-2533, 2020
142020
Revisiting multimodal representation in contrastive learning: from patch and token embeddings to finite discrete tokens
Y Chen, J Yuan, Y Tian, S Geng, X Li, D Zhou, DN Metaxas, H Yang
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
122023
Ae-stylegan: Improved training of style-based auto-encoders
L Han, SH Musunuri, MR Min, R Gao, Y Tian, D Metaxas
Proceedings of the IEEE/CVF winter conference on applications of computer …, 2022
122022
Continual learning long short term memory
X Guo, Y Tian, Q Xue, P Lampropoulos, S Eliuk, K Barner, X Wang
Findings of the Association for Computational Linguistics: EMNLP 2020, 1817-1822, 2020
62020
Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels?
CE Wu, Y Tian, H Yu, H Wang, P Morgado, YH Hu, L Yang
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023
32023
Video synthesis within a messaging system
M Chai, K Olszewski, J Ren, Y Tian, S Tulyakov
US Patent App. 17/491,226, 2022
32022
The devil is in the details: A deep dive into the rabbit hole of data filtering
H Yu, Y Tian, S Kumar, L Yang, H Wang
arXiv preprint arXiv:2309.15954, 2023
22023
Continual learning using cross connections
Y Tian, X Wang, XUE Qinghan, SN Eliuk, X Guo
US Patent App. 16/923,196, 2022
12022
Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens (Supplementary Material)
Y Chen, J Yuan, Y Tian, S Geng, X Li, D Zhou, DN Metaxas, H Yang
Rethinking Kernel Methods for Node Representation Learning on Graphs: Supplementary Material
Y Tian, L Zhao, X Peng, DN Metaxas
The system can't perform the operation now. Try again later.
Articles 1–20