Haoyue Bai

Orcid: 0009-0009-1328-9230

According to our database1, Haoyue Bai authored at least 28 papers between 2014 and 2024.

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Bibliography

2024
HYPO: Hyperspherical Out-of-Distribution Generalization.
CoRR, 2024

2023
Image change detection with only a few samples.
CoRR, 2023

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

GoRec: A Generative Cold-start Recommendation Framework.
Proceedings of the 31st ACM International Conference on Multimedia, 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

Beyond Normal Distribution: More Factual Feature Generation Network for Generalized Zero-Shot Learning.
IEEE Multim., 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
A plug-in attribute correction module for generalized zero-shot learning.
Pattern Recognit., 2021

Dual discriminative auto-encoder network for zero shot image recognition.
J. Intell. Fuzzy Syst., 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

Designing a Partially Understandable Neural Network through Semantic Embedding.
Proceedings of the International Joint Conference on Neural Networks, 2021

Near-Real Feature Generative Network for Generalized Zero-Shot Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Voxel Transformer for 3D Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

MVQAS: A Medical Visual Question Answering System.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 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

Understanding a Deep Neural Network Based on Neural-Path Coding.
IEEE Access, 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

2016
Corrigendum to "On a lemma of Crochemore and Rytter" [Journal of Discrete Algorithms 34 (2015) 18-22].
J. Discrete Algorithms, 2016

The New Periodicity Lemma revisited.
Discret. Appl. Math., 2016

2015
On a lemma of Crochemore and Rytter.
J. Discrete Algorithms, 2015

2014
Two Squares Canonical Factorization.
Proceedings of the Prague Stringology Conference 2014, Prague, Czech Republic, 2014


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