Yu Tian

Affiliations:
  • ByteDance Inc., Beijing, China
  • Rutgers University, Piscataway, NJ, USA (PhD 2021)


According to our database1, Yu Tian authored at least 11 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2023
HiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Revisiting Multimodal Representation in Contrastive Learning: From Patch and Token Embeddings to Finite Discrete Tokens.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
AE-StyleGAN: Improved Training of Style-Based Auto-Encoders.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Hierarchically Self-supervised Transformer for Human Skeleton Representation Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
A Good Image Generator Is What You Need for High-Resolution Video Synthesis.
Proceedings of the 9th International Conference on Learning Representations, 2021

Dual Projection Generative Adversarial Networks for Conditional Image Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Towards Image-to-Video Translation: A Structure-Aware Approach via Multi-stage Generative Adversarial Networks.
Int. J. Comput. Vis., 2020

2019
Rethinking Kernel Methods for Node Representation Learning on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Semantic Graph Convolutional Networks for 3D Human Pose Regression.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
CR-GAN: Learning Complete Representations for Multi-view Generation.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Learning to Forecast and Refine Residual Motion for Image-to-Video Generation.
Proceedings of the Computer Vision - ECCV 2018, 2018


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