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ORCIDQing Yu 0013
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2020 – today
- 2025
[j7]Qing Yu
, Go Irie, Kiyoharu Aizawa:
Open-set domain adaptation with visual-language foundation models. Comput. Vis. Image Underst. 250: 104230 (2025)- [j6]Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection. Int. J. Comput. Vis. 133(6): 3586-3596 (2025) - [j5]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:
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. Trans. Mach. Learn. Res. 2025 (2025) - [c15]Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa:
Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. ACL (1) 2025: 6497-6540 - [i14]Shiho Noda, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models. CoRR abs/2501.18463 (2025) - 2024
- [j4]Kazuki Egashira, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
Negative Learning to Prevent Undesirable Misclassification. IEICE Trans. Inf. Syst. 107(1): 144-147 (2024) - [j3]Qing Yu, Go Irie, Kiyoharu Aizawa:
Self-Labeling Framework for Open-Set Domain Adaptation With Few Labeled Samples. IEEE Trans. Multim. 26: 1474-1487 (2024) - [c14]Kent Fujiwara, Mikihiro Tanaka, Qing Yu:
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models. ECCV (58) 2024: 323-339 - [i13]Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa:
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. CoRR abs/2403.20331 (2024) - [i12]Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa:
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR abs/2407.21794 (2024) - 2023
- [c13]Qing Yu, Kent Fujiwara:
Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition. AAAI 2023: 3322-3330 - [c12]Jiafeng Mao, Qing Yu, Go Irie, Kiyoharu Aizawa:
Noise-Avoidance Sampling for Annotation Missing Object Detection. ICIP 2023: 1575-1579 - [c11]Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. NeurIPS 2023 - [c10]Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. WACV 2023: 2808-2817 - [i11]Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models. CoRR abs/2304.04521 (2023) - [i10]Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku:
Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition. CoRR abs/2304.10333 (2023) - [i9]Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. CoRR abs/2306.01293 (2023) - [i8]Qing Yu, Go Irie, Kiyoharu Aizawa:
Open-Set Domain Adaptation with Visual-Language Foundation Models. CoRR abs/2307.16204 (2023) - [i7]Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa:
Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? CoRR abs/2310.00847 (2023) - 2022
- [c9]Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Self-Labeling Framework for Novel Category Discovery over Domains. AAAI 2022: 3161-3169 - [i6]Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. CoRR abs/2210.12681 (2022) - 2021
- [j2]Jiafeng Mao, Qing Yu, Kiyoharu Aizawa:
Noisy Localization Annotation Refinement for Object Detection. IEICE Trans. Inf. Syst. 104-D(9): 1478-1485 (2021) - [c8]Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa:
Noisy Annotation Refinement for Object Detection. BMVC 2021: 56 - [c7]Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku:
Divergence Optimization for Noisy Universal Domain Adaptation. CVPR 2021: 2515-2524 - [i5]Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku:
Divergence Optimization for Noisy Universal Domain Adaptation. CoRR abs/2104.00246 (2021) - [i4]Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa:
Noisy Annotation Refinement for Object Detection. CoRR abs/2110.10456 (2021) - 2020
- [c6]Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Multi-task Curriculum Framework for Open-Set Semi-supervised Learning. ECCV (12) 2020: 438-454 - [c5]Qing Yu, Kiyoharu Aizawa:
Unknown Class Label Cleaning For Learning With Open-Set Noisy Labels. ICIP 2020: 1731-1735 - [c4]Jiafeng Mao, Qing Yu, Kiyoharu Aizawa:
Noisy Localization Annotation Refinement For Object Detection. ICIP 2020: 2006-2010 - [c3]Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa:
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals. ICPR 2020: 1438-1445 - [i3]Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa:
Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning. CoRR abs/2007.11330 (2020) - [i2]Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa:
The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals. CoRR abs/2011.01655 (2020)
2010 – 2019
- 2019
- [j1]Qing Yu, Masashi Anzawa, Sosuke Amano, Kiyoharu Aizawa:
Personalized Food Image Classifier Considering Time-Dependent and Item-Dependent Food Distribution. IEICE Trans. Inf. Syst. 102-D(11): 2120-2126 (2019) - [c2]Qing Yu, Kiyoharu Aizawa:
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. ICCV 2019: 9517-9525 - [i1]Qing Yu, Kiyoharu Aizawa:
Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. CoRR abs/1908.04951 (2019) - 2018
- [c1]Qing Yu, Masashi Anzawa, Sosuke Amano, Makoto Ogawa, Kiyoharu Aizawa:
Food Image Recognition by Personalized Classifier. ICIP 2018: 171-175
Coauthor Index
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