Ryota Yoshihashi

24 papers A* 1B 4Journal 14Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
Constant Rate Scheduling: A General Framework for Optimizing Diffusion Noise Schedule via Distributional Change.
Trans. Mach. Learn. Res.
Shuntaro Okada, Kenji Doi, Ryota Yoshihashi, Hirokatsu Kataoka, Tomohiro Tanaka
2024 J jnl
Constant Rate Schedule: Constant-Rate Distributional Change for Efficient Training and Sampling in Diffusion Models.
CoRR
Shuntaro Okada, Kenji Doi, Ryota Yoshihashi, Hirokatsu Kataoka, Tomohiro Tanaka
2024 — conf
Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation.
ACCV (5)
Ryota Yoshihashi, Yuya Otsuka, Kenji Doi, Tomohiro Tanaka, Hirokatsu Kataoka
2024 — conf
Real-SRGD: Enhancing Real-World Image Super-Resolution with Classifier-Free Guided Diffusion.
ACCV (5)
Kenji Doi, Shuntaro Okada, Ryota Yoshihashi, Hirokatsu Kataoka
2024 J jnl
VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction.
CoRR
Jiahao Zhang, Ryota Yoshihashi, Shunsuke Kitada, Atsuki Osanai, Yuta Nakashima
2023 J jnl
Attention as Annotation: Generating Images and Pseudo-masks for Weakly Supervised Semantic Segmentation with Diffusion.
CoRR
Ryota Yoshihashi, Yuya Otsuka, Kenji Doi, Tomohiro Tanaka
2023 B conf
Ladder Siamese Network: A Method and Insights for Multi-Level Self-Supervised Learning.
ICIP
Ryota Yoshihashi, Shuhei Nishimura, Dai Yonebayashi, Yuya Otsuka, Tomohiro Tanaka, Takashi Miyazaki
2023 — conf
Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array.
CVPR Workshops
Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, Asako Kanezaki
2022 J jnl
Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning.
CoRR
Ryota Yoshihashi, Shuhei Nishimura, Dai Yonebayashi, Yuya Otsuka, Tomohiro Tanaka, Takashi Miyazaki
2022 — conf
Pass Receiver Prediction in Soccer using Video and Players' Trajectories.
CVPR Workshops
Yutaro Honda, Rei Kawakami, Ryota Yoshihashi, Kenta Kato, Takeshi Naemura
2021 — conf
Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition.
ICDAR (2)
Ryota Yoshihashi, Tomohiro Tanaka, Kenji Doi, Takumi Fujino, Naoaki Yamashita
2021 J jnl
Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition.
CoRR
Ryota Yoshihashi, Tomohiro Tanaka, Kenji Doi, Takumi Fujino, Naoaki Yamashita
2021 J jnl
Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach.
CoRR
Ryota Yoshihashi, Rei Kawakami, Shaodi You, Tu Tuan Trinh, Makoto Iida, Takeshi Naemura
2019 A* conf
Classification-Reconstruction Learning for Open-Set Recognition.
CVPR
Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
2019 B conf
Cross-Connected Networks for Multi-Task Learning of Detection and Segmentation.
ICIP
Rei Kawakami, Ryota Yoshihashi, Seiichiro Fukuda, Shaodi You, Makoto Iida, Takeshi Naemura
2019 J jnl
Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone.
IPSJ Trans. Comput. Vis. Appl.
Yinan Wang, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Tohru Harano, Masahiko Ito, Katsura Komagome, Makoto Iida, Takeshi Naemura
2018 J jnl
Classification-Reconstruction Learning for Open-Set Recognition.
CoRR
Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
2018 J jnl
Cross-connected Networks for Multi-task Learning of Detection and Segmentation.
CoRR
Seiichiro Fukuda, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
2018 J jnl
Hybrid Loss for Learning Single-Image-based HDR Reconstruction.
CoRR
Kenta Moriwaki, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Takeshi Naemura
2018 J jnl
Pedestrian detection with motion features via two-stream ConvNets.
IPSJ Trans. Comput. Vis. Appl.
Ryota Yoshihashi, Tu Tuan Trinh, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
2017 J jnl
Learning Multi-frame Visual Representation for Joint Detection and Tracking of Small Objects.
CoRR
Ryota Yoshihashi, Tu Tuan Trinh, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
2016 J jnl
Combining deep features for object detection at various scales: finding small birds in landscape images.
IPSJ Trans. Comput. Vis. Appl.
Akito Takeki, Tu Tuan Trinh, Ryota Yoshihashi, Rei Kawakami, Makoto Iida, Takeshi Naemura
2016 B conf
Detection of small birds in large images by combining a deep detector with semantic segmentation.
ICIP
Akito Takeki, Tu Tuan Trinh, Ryota Yoshihashi, Rei Kawakami, Makoto Iida, Takeshi Naemura
2015 B conf
Construction of a bird image dataset for ecological investigations.
ICIP
Ryota Yoshihashi, Rei Kawakami, Makoto Iida, Takeshi Naemura