Qing Yu

According to our database, Qing Yu authored at least 26 papers between 2018 and 2025.

Collaborative distances:

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

2025

GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection.

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

Int. J. Comput. Vis., June, 2025

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models.

Shiho Noda, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

CoRR, January, 2025

Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Helen Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa

Trans. Mach. Learn. Res., 2025

Open-set domain adaptation with visual-language foundation models.

Qing Yu, Go Irie, Kiyoharu Aizawa

Comput. Vis. Image Underst., 2025

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Negative Learning to Prevent Undesirable Misclassification.

Kazuki Egashira, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

IEICE Trans. Inf. Syst., January, 2024

Self-Labeling Framework for Open-Set Domain Adaptation With Few Labeled Samples.

Qing Yu, Go Irie, Kiyoharu Aizawa

IEEE Trans. Multim., 2024

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models.

Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa

CoRR, 2024

Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models.

Kent Fujiwara, Mikihiro Tanaka, Qing Yu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Can Pre-trained Networks Detect Familiar Out-of-Distribution Data?

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

CoRR, 2023

Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition.

Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku

CoRR, 2023

Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models.

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

CoRR, 2023

Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation.

Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning.

Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Noise-Avoidance Sampling for Annotation Missing Object Detection.

Jiafeng Mao, Qing Yu, Go Irie, Kiyoharu Aizawa

Proceedings of the IEEE International Conference on Image Processing, 2023

Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition.

Qing Yu, Kent Fujiwara

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Self-Labeling Framework for Novel Category Discovery over Domains.

Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Divergence Optimization for Noisy Universal Domain Adaptation.

Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Noisy Annotation Refinement for Object Detection.

Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals.

Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Unknown Class Label Cleaning For Learning With Open-Set Noisy Labels.

Qing Yu, Kiyoharu Aizawa

Proceedings of the IEEE International Conference on Image Processing, 2020

Noisy Localization Annotation Refinement For Object Detection.

Jiafeng Mao, Qing Yu, Kiyoharu Aizawa

Proceedings of the IEEE International Conference on Image Processing, 2020

Multi-task Curriculum Framework for Open-Set Semi-supervised Learning.

Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Personalized Food Image Classifier Considering Time-Dependent and Item-Dependent Food Distribution.

Qing Yu, Masashi Anzawa, Sosuke Amano, Kiyoharu Aizawa

IEICE Trans. Inf. Syst., 2019

Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy.

Qing Yu, Kiyoharu Aizawa

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Food Image Recognition by Personalized Classifier.

Qing Yu, Masashi Anzawa, Sosuke Amano, Makoto Ogawa, Kiyoharu Aizawa

Proceedings of the 2018 IEEE International Conference on Image Processing, 2018