Food Image Recognition by Personalized Classifier. - Qing Yu 013; Masashi Anzawa; Sosuke Amano; Makoto Ogawa; Kiyoharu Aizawa (ICIP, 2018)

Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. - Qing Yu 013; Kiyoharu Aizawa (ICCV, 2019)

Personalized Food Image Classifier Considering Time-Dependent and Item-Dependent Food Distribution. - Qing Yu 013; Masashi Anzawa; Sosuke Amano; Kiyoharu Aizawa (IEICE Trans. Inf. Syst., 2019)

Multi-task Curriculum Framework for Open-Set Semi-supervised Learning. - Qing Yu 013; Daiki Ikami; Go Irie; Kiyoharu Aizawa (ECCV (12), 2020)

Noisy Localization Annotation Refinement For Object Detection. - Jiafeng Mao; Qing Yu 013; Kiyoharu Aizawa (ICIP, 2020)

Unknown Class Label Cleaning For Learning With Open-Set Noisy Labels. - Qing Yu 013; Kiyoharu Aizawa (ICIP, 2020)

The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals. - Takumi Kawashima; Qing Yu 013; Akari Asai; Daiki Ikami; Kiyoharu Aizawa (ICPR, 2020)

Noisy Annotation Refinement for Object Detection. - Jiafeng Mao; Qing Yu 013; Yoko Yamakata; Kiyoharu Aizawa (BMVC, 2021)

Divergence Optimization for Noisy Universal Domain Adaptation. - Qing Yu 013; Atsushi Hashimoto 001; Yoshitaka Ushiku (CVPR, 2021)

Self-Labeling Framework for Novel Category Discovery over Domains. - Qing Yu 013; Daiki Ikami; Go Irie; Kiyoharu Aizawa (AAAI, 2022)

Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition. - Qing Yu 013; Kent Fujiwara (AAAI, 2023)

Noise-Avoidance Sampling for Annotation Missing Object Detection. - Jiafeng Mao; Qing Yu 013; Go Irie; Kiyoharu Aizawa (ICIP, 2023)

LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. - Atsuyuki Miyai; Qing Yu 013; Go Irie; Kiyoharu Aizawa (NeurIPS, 2023)

Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. - Atsuyuki Miyai; Qing Yu 013; Daiki Ikami; Go Irie; Kiyoharu Aizawa (WACV, 2023)

Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models. - Atsuyuki Miyai; Qing Yu 013; Go Irie; Kiyoharu Aizawa (CoRR, 2023)

Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition. - Qing Yu 013; Atsushi Hashimoto 001; Yoshitaka Ushiku (CoRR, 2023)

Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? - Atsuyuki Miyai; Qing Yu 013; Go Irie; Kiyoharu Aizawa (CoRR, 2023)

Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models. - Kent Fujiwara; Mikihiro Tanaka; Qing Yu 013 (ECCV (58), 2024)

Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu 013; Go Irie; Yixuan Li 001; Hai Li 001; Ziwei Liu 002; Kiyoharu Aizawa (CoRR, 2024)

Self-Labeling Framework for Open-Set Domain Adaptation With Few Labeled Samples. - Qing Yu 013; Go Irie; Kiyoharu Aizawa (IEEE Trans. Multim., 2024)

Negative Learning to Prevent Undesirable Misclassification. - Kazuki Egashira; Atsuyuki Miyai; Qing Yu 013; Go Irie; Kiyoharu Aizawa (IEICE Trans. Inf. Syst., 2024)

Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. - Atsuyuki Miyai; Jingkang Yang; Jingyang Zhang; Yifei Ming; Qing Yu 013; Go Irie; Yixuan Li 001; Hai Helen Li; Ziwei Liu 002; Kiyoharu Aizawa (ACL (1), 2025)

Open-set domain adaptation with visual-language foundation models. - Qing Yu 013; Go Irie; Kiyoharu Aizawa (Comput. Vis. Image Underst., 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 013; Go Irie; Shafiq Joty; Yixuan Li 001; Hai Helen Li; Ziwei Liu 002; Toshihiko Yamasaki; et al. (Trans. Mach. Learn. Res., 2025)

A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models. - Shiho Noda; Atsuyuki Miyai; Qing Yu 013; Go Irie; Kiyoharu Aizawa (CoRR, 2025)

GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection. - Atsuyuki Miyai; Qing Yu 013; Go Irie; Kiyoharu Aizawa (Int. J. Comput. Vis., 2025)