I am a fifth-year Ph.D. student at UC San Diego in the ECE department, advised by Prof. Xiaolong Wang.
I received my bachelor's degree from Yao Class at Tsinghua University.
My current research interests are generative models and visual representations.
Publications
Diffusion Autoencoders are Scalable Image Tokenizers
Yinbo Chen, Rohit Girdhar, Xiaolong Wang, Sai Saketh Rambhatla, Ishan Misra
In submission.
Consistent Flow Distillation for Text-to-3D Generation
Runjie Yan, Yinbo Chen, Xiaolong Wang
In submission.
Image Neural Field Diffusion Models
Yinbo Chen, Oliver Wang, Richard Zhang, Eli Shechtman, Xiaolong Wang, Michael Gharbi
CVPR 2024, highlight.
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Transformers as Meta-Learners for Implicit Neural Representations
Yinbo Chen, Xiaolong Wang
ECCV 2022.
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Learning Implicit Feature Alignment Function for Semantic Segmentation
Hanzhe Hu*,
Yinbo Chen*, Jiarui Xu, Shubhankar Borse, Hong Cai, Fatih Porikli, Xiaolong Wang
ECCV 2022.
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VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution
Zeyuan Chen,
Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang
CVPR 2022.
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Learning Continuous Image Representation with Local Implicit Image Function
Yinbo Chen, Sifei Liu, Xiaolong Wang
CVPR 2021, oral.
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code
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang
ICCV 2021.
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Rethinking Knowledge Graph Propagation for Zero-Shot Learning
Yinbo Chen*, Michael Kampffmeyer*, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing
CVPR 2019.
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