Tomoyuki Okuno

Orcid: 0009-0002-7525-987X

According to our database1, Tomoyuki Okuno authored at least 13 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
DFM: Interpolant-free Dual Flow Matching.
CoRR, 2024

SparseVLM: Visual Token Sparsification for Efficient Vision-Language Model Inference.
CoRR, 2024

Fisher-aware Quantization for DETR Detectors with Critical-category Objectives.
CoRR, 2024

ContextFlow++: Generalist-Specialist Flow-based Generative Models with Mixed-Variable Context Encoding.
CoRR, 2024

VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness.
CoRR, 2024

VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation.
CoRR, 2023

Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022
Cross-Domain Object Detection with Mean-Teacher Transformer.
CoRR, 2022

MTTrans: Cross-domain Object Detection with Mean Teacher Transformer.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Lossless AI: Toward Guaranteeing Consistency between Inferences Before and After Quantization via Knowledge Distillation.
Proceedings of the 17th International Conference on Machine Vision and Applications, 2021


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