Yutong Bai

According to our database1, Yutong Bai authored at least 27 papers between 2017 and 2023.

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Bibliography

2023
Sequential Modeling Enables Scalable Learning for Large Vision Models.
CoRR, 2023

Understanding Pan-Sharpening via Generalized Inverse.
CoRR, 2023

Intriguing Properties of Text-guided Diffusion Models.
CoRR, 2023

Delving into Masked Autoencoders for Multi-Label Thorax Disease Classification.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

CoKe: Contrastive Learning for Robust Keypoint Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Making Your First Choice: To Address Cold Start Problem in Medical Active Learning.
Proceedings of the Medical Imaging with Deep Learning, 2023

Can CNNs Be More Robust Than Transformers?
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Masked Autoencoders Enable Efficient Knowledge Distillers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Low-frequency oscillations link frontal and parietal cortex with subthalamic nucleus in conflicts.
NeuroImage, 2022

Making Your First Choice: To Address Cold Start Problem in Vision Active Learning.
CoRR, 2022

CateNorm: Categorical Normalization for Robust Medical Image Segmentation.
Proceedings of the Domain Adaptation and Representation Transfer - 4th MICCAI Workshop, 2022

Fast AdvProp.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Point-Level Region Contrast for Object Detection Pre-Training.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

TransFG: A Transformer Architecture for Fine-Grained Recognition.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
TransFG: A Transformer Architecture for Fine-grained Recognition.
CoRR, 2021

Glance-and-Gaze Vision Transformer.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Are Transformers more robust than CNNs?
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Mask Guided Matting via Progressive Refinement Network.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Unsupervised Part Discovery via Feature Alignment.
CoRR, 2020

Can Temporal Information Help with Contrastive Self-Supervised Learning?
CoRR, 2020

CoKe: Localized Contrastive Learning for Robust Keypoint Detection.
CoRR, 2020

C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
SSDC-DenseNet: A Cost-Effective End-to-End Spectral-Spatial Dual-Channel Dense Network for Hyperspectral Image Classification.
IEEE Access, 2019

Semantic Part Detection via Matching: Learning to Generalize to Novel Viewpoints From Limited Training Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

CLEVR-Ref+: Diagnosing Visual Reasoning With Referring Expressions.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
A computer-assisted instructional method based on machine learning in software testing class.
Comput. Appl. Eng. Educ., 2018

2017
Underactuated control of swing in orbit debris towing removal via tether space robots.
Proceedings of the 2017 IEEE International Conference on Robotics and Biomimetics, 2017


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