Atsuyuki Miyai

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Kiyoharu AizawaUniversity of TokyoPatvirtintas el. paštas hal.t.u-tokyo.ac.jp
Qing YuLY CorporationPatvirtintas el. paštas lycorp.co.jp
Go IrieTokyo University of SciencePatvirtintas el. paštas ieee.org
Jingkang YangPhD Candidate, MMLab@NTUPatvirtintas el. paštas ntu.edu.sg
Yifei MingSalesforce AI ResearchPatvirtintas el. paštas salesforce.com
Ziwei LiuAssistant Professor, Nanyang Technological UniversityPatvirtintas el. paštas ntu.edu.sg
Jingyang ZhangECE Ph.D. @ Duke UniversityPatvirtintas el. paštas duke.edu
Sharon LiUniversity of Wisconsin-MadisonPatvirtintas el. paštas cs.wisc.edu
Toshihiko YamasakiDepartment of Information and Communication Engineering, The University of TokyoPatvirtintas el. paštas cvm.t.u-tokyo.ac.jp
Shafiq JotySenior Research Director at Salesforce Research, Assoc. Prof. at NTU (on leave)Patvirtintas el. paštas ntu.edu.sg
Kazuki EgashiraThe University of TokyoPatvirtintas el. paštas hal.t.u-tokyo.ac.jp
Xiang YueCarnegie Mellon UniversityPatvirtintas el. paštas andrew.cmu.edu
Graham NeubigCarnegie Mellon University, All Hands AIPatvirtintas el. paštas cs.cmu.edu
Jeonghun BaekThe University of TokyoPatvirtintas el. paštas hal.t.u-tokyo.ac.jp

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Atsuyuki Miyai

The University of Tokyo

Patvirtintas el. paštas hal.t.u-tokyo.ac.jp - Pagrindinis puslapis

computer vision representation learning out-of-distribution detection


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Locoop: Few-shot out-of-distribution detection via prompt learning A Miyai, Q Yu, G Irie, K Aizawa Advances in Neural Information Processing Systems 36, 2024	68	2024
GL-MCM: Global and Local Maximum Concept Matching for Zero-Shot Out-of-Distribution Detection A Miyai, Q Yu, G Irie, K Aizawa International Journal of Computer Vision, 1-11, 2025	23*	2025
Unsolvable problem detection: Evaluating trustworthiness of vision language models A Miyai, J Yang, J Zhang, Y Ming, Q Yu, G Irie, Y Li, H Li, Z Liu, K Aizawa arXiv preprint arXiv:2403.20331, 2024	14	2024
Generalized out-of-distribution detection and beyond in vision language model era: A survey A Miyai, J Yang, J Zhang, Y Ming, Y Lin, Q Yu, G Irie, S Joty, Y Li, H Li, ... arXiv preprint arXiv:2407.21794, 2024	11	2024
Rethinking rotation in self-supervised contrastive learning: Adaptive positive or negative data augmentation A Miyai, Q Yu, D Ikami, G Irie, K Aizawa Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023	11	2023
Can pre-trained networks detect familiar out-of-distribution data? A Miyai, Q Yu, G Irie, K Aizawa arXiv preprint arXiv:2310.00847, 2023	8	2023
A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language Models S Noda, A Miyai, Q Yu, G Irie, K Aizawa arXiv preprint arXiv:2501.18463, 2025		2025
JMMMU: A Japanese Massive Multi-discipline Multimodal Understanding Benchmark for Culture-aware Evaluation S Onohara, A Miyai, Y Imajuku, K Egashira, J Baek*, X Yue, G Neubig, ... NAACL2025, 2024		2024
Negative Learning to Prevent Undesirable Misclassification K Egashira, A Miyai, Q Yu, G Irie, K Aizawa IEICE TRANSACTIONS on Information and Systems 107 (1), 144-147, 2024		2024
自己教師あり学習のための適応的正負例データ拡張宮井淳行，郁青，伊神大貴，入江豪，相澤清晴第 84 回全国大会講演論文集 2022 (1), 185-186, 2022		2022
Unsolvable Problem Detection: Evaluating Trustworthiness of Large Multimodal Models A Miyai, J Yang, J Zhang, Y Ming, Q Yu, G Irie, Y Li, H Li, Z Liu, K Aizawa

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