Haoyue Bai

Affiliations:
  • University of Wisconsin, Madison, WI, USA


According to our database1, Haoyue Bai authored at least 17 papers between 2019 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2025
Deep Active Learning in the Open World.
Trans. Mach. Learn. Res., 2025

Out-of-Distribution Learning with Human Feedback.
Trans. Mach. Learn. Res., 2025

2024
Towards Robust Out-of-Distribution Generalization: Data Augmentation and Neural Architecture Search Approaches.
CoRR, 2024

AHA: Human-Assisted Out-of-Distribution Generalization and Detection.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

HYPO: Hyperspherical Out-Of-Distribution Generalization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Improving Out-of-Distribution Robustness of Classifiers via Generative Interpolation.
CoRR, 2023

Feed Two Birds with One Scone: Exploiting Wild Data for Both Out-of-Distribution Generalization and Detection.
Proceedings of the International Conference on Machine Learning, 2023

2022
A survey on deep learning-based single image crowd counting: Network design, loss function and supervisory signal.
Neurocomputing, 2022

CounTr: An End-to-End Transformer Approach for Crowd Counting and Density Estimation.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms.
CoRR, 2021

Crowd Counting by Self-supervised Transfer Colorization Learning and Global Prior Classification.
CoRR, 2021

Motion-guided Non-local Spatial-Temporal Network for Video Crowd Counting.
CoRR, 2021

NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

DecAug: Out-of-Distribution Generalization via Decomposed Feature Representation and Semantic Augmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
CNN-based Single Image Crowd Counting: Network Design, Loss Function and Supervisory Signal.
CoRR, 2020

2019
Crowd Counting on Images with Scale Variation and Isolated Clusters.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019


  Loading...