Ryota Yoshihashi

Publication Activity (10 Years)

Years Active: 2015-2023
Publications (10 Years): 18

Top Topics

Motion Features

Weakly Supervised

Top Venues

IPSJ Trans. Comput. Vis. Appl.

Publications

Ryota Yoshihashi, Yuya Otsuka, Kenji Doi, Tomohiro Tanaka
Attention as Annotation: Generating Images and Pseudo-masks for Weakly Supervised Semantic Segmentation with Diffusion. CoRR (2023)
Ryota Yoshihashi, Shuhei Nishimura, Dai Yonebayashi, Yuya Otsuka, Tomohiro Tanaka, Takashi Miyazaki
Ladder Siamese Network: A Method and Insights for Multi-Level Self-Supervised Learning. ICIP (2023)
Wenru Zheng, Ryota Yoshihashi, Rei Kawakami, Ikuro Sato, Asako Kanezaki
Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array. CVPR Workshops (2023)
Yutaro Honda, Rei Kawakami, Ryota Yoshihashi, Kenta Kato, Takeshi Naemura
Pass Receiver Prediction in Soccer using Video and Players' Trajectories. CVPR Workshops (2022)
Ryota Yoshihashi, Shuhei Nishimura, Dai Yonebayashi, Yuya Otsuka, Tomohiro Tanaka, Takashi Miyazaki
Ladder Siamese Network: a Method and Insights for Multi-level Self-Supervised Learning. CoRR (2022)
Ryota Yoshihashi, Rei Kawakami, Shaodi You, Tu Tuan Trinh, Makoto Iida, Takeshi Naemura
Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach. CoRR (2021)
Ryota Yoshihashi, Tomohiro Tanaka, Kenji Doi, Takumi Fujino, Naoaki Yamashita
Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition. CoRR (2021)
Ryota Yoshihashi, Tomohiro Tanaka, Kenji Doi, Takumi Fujino, Naoaki Yamashita
Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition. ICDAR (2) (2021)
Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
Classification-Reconstruction Learning for Open-Set Recognition. CVPR (2019)
Rei Kawakami, Ryota Yoshihashi, Seiichiro Fukuda, Shaodi You, Makoto Iida, Takeshi Naemura
Cross-Connected Networks for Multi-Task Learning of Detection and Segmentation. ICIP (2019)
Yinan Wang, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Tohru Harano, Masahiko Ito, Katsura Komagome, Makoto Iida, Takeshi Naemura
Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone. IPSJ Trans. Comput. Vis. Appl. 11 (2019)
Seiichiro Fukuda, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
Cross-connected Networks for Multi-task Learning of Detection and Segmentation. CoRR (2018)
Kenta Moriwaki, Ryota Yoshihashi, Rei Kawakami, Shaodi You, Takeshi Naemura
Hybrid Loss for Learning Single-Image-based HDR Reconstruction. CoRR (2018)
Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
Classification-Reconstruction Learning for Open-Set Recognition. CoRR (2018)
Ryota Yoshihashi, Tu Tuan Trinh, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
Pedestrian detection with motion features via two-stream ConvNets. IPSJ Trans. Comput. Vis. Appl. 10 (2018)
Ryota Yoshihashi, Tu Tuan Trinh, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
Learning Multi-frame Visual Representation for Joint Detection and Tracking of Small Objects. CoRR (2017)
Akito Takeki, Tu Tuan Trinh, Ryota Yoshihashi, Rei Kawakami, Makoto Iida, Takeshi Naemura
Combining deep features for object detection at various scales: finding small birds in landscape images. IPSJ Trans. Comput. Vis. Appl. 8 (2016)
Akito Takeki, Tu Tuan Trinh, Ryota Yoshihashi, Rei Kawakami, Makoto Iida, Takeshi Naemura
Detection of small birds in large images by combining a deep detector with semantic segmentation. ICIP (2016)
Ryota Yoshihashi, Rei Kawakami, Makoto Iida, Takeshi Naemura
Construction of a bird image dataset for ecological investigations. ICIP (2015)