Qing Yu - RankMe

36 papers A* 5A 2B 5Journal 21Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models. CoRR Shiho Noda, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2025	J	`jnl`	GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection. Int. J. Comput. Vis. Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2025	J	`jnl`	Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. Trans. Mach. Learn. Res. 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
2025	J	`jnl`	Open-set domain adaptation with visual-language foundation models. Comput. Vis. Image Underst. Qing Yu, Go Irie, Kiyoharu Aizawa
2025	—	`conf`	Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. ACL (1) Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa
2024	—	`conf`	Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models. ECCV (58) Kent Fujiwara, Mikihiro Tanaka, Qing Yu
2024	J	`jnl`	Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR 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
2024	J	`jnl`	Negative Learning to Prevent Undesirable Misclassification. IEICE Trans. Inf. Syst. Kazuki Egashira, Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2024	J	`jnl`	Self-Labeling Framework for Open-Set Domain Adaptation With Few Labeled Samples. IEEE Trans. Multim. Qing Yu, Go Irie, Kiyoharu Aizawa
2024	J	`jnl`	Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. CoRR Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa
2023	J	`jnl`	Can Pre-trained Networks Detect Familiar Out-of-Distribution Data? CoRR Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2023	A*	`conf`	Frame-Level Label Refinement for Skeleton-Based Weakly-Supervised Action Recognition. AAAI Qing Yu, Kent Fujiwara
2023	A*	`conf`	LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. NeurIPS Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2023	J	`jnl`	LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning. CoRR Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2023	B	`conf`	Noise-Avoidance Sampling for Annotation Missing Object Detection. ICIP Jiafeng Mao, Qing Yu, Go Irie, Kiyoharu Aizawa
2023	J	`jnl`	Noisy Universal Domain Adaptation via Divergence Optimization for Visual Recognition. CoRR Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku
2023	J	`jnl`	Open-Set Domain Adaptation with Visual-Language Foundation Models. CoRR Qing Yu, Go Irie, Kiyoharu Aizawa
2023	A	`conf`	Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. WACV Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
2023	J	`jnl`	Zero-Shot In-Distribution Detection in Multi-Object Settings Using Vision-Language Foundation Models. CoRR Atsuyuki Miyai, Qing Yu, Go Irie, Kiyoharu Aizawa
2022	J	`jnl`	Rethinking Rotation in Self-Supervised Contrastive Learning: Adaptive Positive or Negative Data Augmentation. CoRR Atsuyuki Miyai, Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
2022	A*	`conf`	Self-Labeling Framework for Novel Category Discovery over Domains. AAAI Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
2021	A*	`conf`	Divergence Optimization for Noisy Universal Domain Adaptation. CVPR Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku
2021	J	`jnl`	Divergence Optimization for Noisy Universal Domain Adaptation. CoRR Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku
2021	A	`conf`	Noisy Annotation Refinement for Object Detection. BMVC Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa
2021	J	`jnl`	Noisy Annotation Refinement for Object Detection. CoRR Jiafeng Mao, Qing Yu, Yoko Yamakata, Kiyoharu Aizawa
2021	J	`jnl`	Noisy Localization Annotation Refinement for Object Detection. IEICE Trans. Inf. Syst. Jiafeng Mao, Qing Yu, Kiyoharu Aizawa
2020	J	`jnl`	Multi-Task Curriculum Framework for Open-Set Semi-Supervised Learning. CoRR Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
2020	—	`conf`	Multi-task Curriculum Framework for Open-Set Semi-supervised Learning. ECCV (12) Qing Yu, Daiki Ikami, Go Irie, Kiyoharu Aizawa
2020	B	`conf`	Noisy Localization Annotation Refinement For Object Detection. ICIP Jiafeng Mao, Qing Yu, Kiyoharu Aizawa
2020	B	`conf`	The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals. ICPR Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa
2020	J	`jnl`	The Aleatoric Uncertainty Estimation Using a Separate Formulation with Virtual Residuals. CoRR Takumi Kawashima, Qing Yu, Akari Asai, Daiki Ikami, Kiyoharu Aizawa
2020	B	`conf`	Unknown Class Label Cleaning For Learning With Open-Set Noisy Labels. ICIP Qing Yu, Kiyoharu Aizawa
2019	J	`jnl`	Personalized Food Image Classifier Considering Time-Dependent and Item-Dependent Food Distribution. IEICE Trans. Inf. Syst. Qing Yu, Masashi Anzawa, Sosuke Amano, Kiyoharu Aizawa
2019	A*	`conf`	Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. ICCV Qing Yu, Kiyoharu Aizawa
2019	J	`jnl`	Unsupervised Out-of-Distribution Detection by Maximum Classifier Discrepancy. CoRR Qing Yu, Kiyoharu Aizawa
2018	B	`conf`	Food Image Recognition by Personalized Classifier. ICIP Qing Yu, Masashi Anzawa, Sosuke Amano, Makoto Ogawa, Kiyoharu Aizawa