Yunye Gong

According to our database, Yunye Gong authored at least 9 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

BloomVQA: Assessing Hierarchical Multi-modal Comprehension.

Yunye Gong, Robik Shrestha, Jared Claypoole, Michael Cogswell, Arijit Ray, Christopher Kanan, Ajay Divakaran

CoRR, 2023

Uncertainty Propagation through Trained Deep Neural Networks Using Factor Graphs.

Angel Daruna, Yunye Gong, Abhinav Rajvanshi, Han-Pang Chiu, Yi Yao

CoRR, 2023

Confidence Calibration for Systems with Cascaded Predictive Modules.

Yunye Gong, Yi Yao, Xiao Lin, Ajay Divakaran, Melinda T. Gervasio

CoRR, 2023

2022

Unpacking Large Language Models with Conceptual Consistency.

Pritish Sahu, Michael Cogswell, Yunye Gong, Ajay Divakaran

CoRR, 2022

2021

Modular Adaptation for Cross-Domain Few-Shot Learning.

Xiao Lin, Meng Ye, Yunye Gong, Giedrius Burachas, Nikoletta Basiou, Ajay Divakaran, Yi Yao

CoRR, 2021

Confidence Calibration for Domain Generalization under Covariate Shift.

Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2018

Learning Compositional Visual Concepts With Mutual Consistency.

Yunye Gong, Srikrishna Karanam, Ziyan Wu, Kuan-Chuan Peng, Jan Ernst, Peter C. Doerschuk

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2016

3-D understanding of electron microscopy images of nano bio objects by computing generative mechanical models.

Yunye Gong, Peter C. Doerschuk

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Determining fluctuation in bio-nanomachines from electron microscopy images.

Yunye Gong, Peter C. Doerschuk

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015