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Rinyoichi Takezoe

Observed name: Takezoe, Rinyoichi
ORCID: 0009-0000-1429-0289
Observed ORCID: 0009-0000-1429-0289
OpenAlex ID: A5060313125
Deep Active Learning for Computer Vision: Past and Future
2023 · Rinyoichi Takezoe, Xu Liu, et al. · APSIPA Transactions on Signal and Information Processing · 26
ALBench: A Framework for Evaluating Active Learning in Object Detection
2022 · Feng, Zhanpeng, Zhang, Shiliang, et al. · arXiv (Cornell University) · 3
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Context-Assisted Active Learning for Weakly Supervised Person Search
2025 · Rinyoichi Takezoe, Hao Chen, et al. · ACM Transactions on Multimedia Computing Communications and Applications · 2
LearnPrunerV2: Learnable Progressive Token Pruning for Vision-Language Models
2026 · Takezoe, Rinyoichi, Li, Yaqian, et al. · arXiv (Cornell University)
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MS-Resampler: Multi-Scope Visual Resampling for Efficient Multimodal LLMs
2026 · Li, Zhongyang, Li, Yaqian, et al. · arXiv (Cornell University)
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SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
2026 · Association for Computational Linguistics 2026, Bo, Zi-Hao, et al. · Underline Science Inc.
LearnPruner: Rethinking Attention-based Token Pruning in Vision Language Models
2026 · Takezoe, Rinyoichi, Li, Yaqian, et al. · arXiv (Cornell University)
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SMoES: Soft Modality-Guided Expert Specialization in MoE-VLMs
2026 · Bo, Zi-Hao, Li, Yaqian, et al. · arXiv (Cornell University)
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QMoP: Query Guided Mixture-of-Projector for Efficient Visual Token Compression
2026 · Li, Zhongyang, Li, Yaqian, et al. · arXiv (Cornell University)
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ITO: Multi-View Alignment and Training-Time Fusion for Image-Text Pretraining
2026 · Liu, Hanpeng, Li, Yaqian, et al. · arXiv (Cornell University)
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iGVLM: Dynamic Instruction-Guided Vision Encoding for Question-Aware Multimodal Understanding
2026 · Liu, Hanpeng, Li, Yaqian, et al. · arXiv (Cornell University)
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SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
2026 · Yanxiao Zhao, Yaqian Li, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 12
Citation count: 31
H-index: 2
I10-index: 1
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