activity
20202022
most citedPTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

18 citations · 47 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV202217 cited

WT-MVSNet: Window-based Transformers for Multi-view Stereo

Jinli Liao, Yikang Ding, Yoli Shavit +5

Recently, Transformers were shown to enhance the performance of multi-view stereo by enabling long-range feature interaction. In this work, we propose Window-based Transformers (WT…

eess.IV20219 cited

Recursive Refinement Network for Deformable Lung Registration between Exhale and Inhale CT Scans

Xinzi He, Jia Guo, Xuzhe Zhang +9

Unsupervised learning-based medical image registration approaches have witnessed rapid development in recent years. We propose to revisit a commonly ignored while simple and well-e…

eess.IV202118 cited

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

Xuzhe Zhang, Xinzi He, Jia Guo +6

Magnetic resonance imaging (MRI) noninvasively provides critical information about how human brain structures develop across stages of life. Developmental scientists are particular…

cs.MM20203 cited

LAMP: Label Augmented Multimodal Pretraining

Jia Guo, Chen Zhu, Yilun Zhao +4

Multi-modal representation learning by pretraining has become an increasing interest due to its easy-to-use and potential benefit for various Visual-and-Language~(V-L) tasks. Howev…

cs.LG2020

Reducing the Teacher-Student Gap via Spherical Knowledge Disitllation

Jia Guo, Minghao Chen, Yao Hu +3

Knowledge distillation aims at obtaining a compact and effective model by learning the mapping function from a much larger one. Due to the limited capacity of the student, the stud…

eess.AS2020

MusiCoder: A Universal Music-Acoustic Encoder Based on Transformers

Yilun Zhao, Jia Guo

Music annotation has always been one of the critical topics in the field of Music Information Retrieval (MIR). Traditional models use supervised learning for music annotation tasks…