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Yu Tian
Yu Tian
Ph.D. Student, Department of Computer Science, Rutgers University
Dirección de correo verificada de cs.rutgers.edu
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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
5412019
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
1592018
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
282023
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
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
162023
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
152020
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
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
32023
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
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
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Artículos 1–20