Construction of a bird image dataset for ecological investigations. - Ryota Yoshihashi; Rei Kawakami; Makoto Iida; Takeshi Naemura (ICIP, 2015)

Detection of small birds in large images by combining a deep detector with semantic segmentation. - Akito Takeki; Tu Tuan Trinh; Ryota Yoshihashi; Rei Kawakami; Makoto Iida; Takeshi Naemura (ICIP, 2016)

Combining deep features for object detection at various scales: finding small birds in landscape images. - Akito Takeki; Tu Tuan Trinh; Ryota Yoshihashi; Rei Kawakami; Makoto Iida; Takeshi Naemura (IPSJ Trans. Comput. Vis. Appl., 2016)

Learning Multi-frame Visual Representation for Joint Detection and Tracking of Small Objects. - Ryota Yoshihashi; Tu Tuan Trinh; Rei Kawakami; Shaodi You; Makoto Iida; Takeshi Naemura (CoRR, 2017)

Hybrid Loss for Learning Single-Image-based HDR Reconstruction. - Kenta Moriwaki; Ryota Yoshihashi; Rei Kawakami; Shaodi You; Takeshi Naemura (CoRR, 2018)

Pedestrian detection with motion features via two-stream ConvNets. - Ryota Yoshihashi; Tu Tuan Trinh; Rei Kawakami; Shaodi You; Makoto Iida; Takeshi Naemura (IPSJ Trans. Comput. Vis. Appl., 2018)

Classification-Reconstruction Learning for Open-Set Recognition. - Ryota Yoshihashi; Wen Shao; Rei Kawakami; Shaodi You; Makoto Iida; Takeshi Naemura (CVPR, 2019)

Cross-Connected Networks for Multi-Task Learning of Detection and Segmentation. - Rei Kawakami; Ryota Yoshihashi; Seiichiro Fukuda; Shaodi You; Makoto Iida; Takeshi Naemura (ICIP, 2019)

Unsupervised anomaly detection with compact deep features for wind turbine blade images taken by a drone. - Yinan Wang; Ryota Yoshihashi; Rei Kawakami; Shaodi You; Tohru Harano; Masahiko Ito; Katsura Komagome; Makoto Iida; Takeshi Naemura (IPSJ Trans. Comput. Vis. Appl., 2019)

Context-Free TextSpotter for Real-Time and Mobile End-to-End Text Detection and Recognition. - Ryota Yoshihashi; Tomohiro Tanaka; Kenji Doi; Takumi Fujino; Naoaki Yamashita (ICDAR (2), 2021)

Finding a Needle in a Haystack: Tiny Flying Object Detection in 4K Videos using a Joint Detection-and-Tracking Approach. - Ryota Yoshihashi; Rei Kawakami; Shaodi You; Tu Tuan Trinh; Makoto Iida; Takeshi Naemura (CoRR, 2021)

Pass Receiver Prediction in Soccer using Video and Players' Trajectories. - Yutaro Honda; Rei Kawakami; Ryota Yoshihashi; Kenta Kato; Takeshi Naemura (CVPR Workshops, 2022)

Multi Event Localization by Audio-Visual Fusion with Omnidirectional Camera and Microphone Array. - Wenru Zheng; Ryota Yoshihashi; Rei Kawakami; Ikuro Sato; Asako Kanezaki (CVPR Workshops, 2023)

Ladder Siamese Network: A Method and Insights for Multi-Level Self-Supervised Learning. - Ryota Yoshihashi; Shuhei Nishimura; Dai Yonebayashi; Yuya Otsuka; Tomohiro Tanaka; Takashi Miyazaki (ICIP, 2023)

Attention as Annotation: Generating Images and Pseudo-masks for Weakly Supervised Semantic Segmentation with Diffusion. - Ryota Yoshihashi; Yuya Otsuka; Kenji Doi; Tomohiro Tanaka (CoRR, 2023)

Real-SRGD: Enhancing Real-World Image Super-Resolution with Classifier-Free Guided Diffusion. - Kenji Doi; Shuntaro Okada; Ryota Yoshihashi; Hirokatsu Kataoka (ACCV (5), 2024)

Exploring Limits of Diffusion-Synthetic Training with Weakly Supervised Semantic Segmentation. - Ryota Yoshihashi; Yuya Otsuka; Kenji Doi; Tomohiro Tanaka; Hirokatsu Kataoka (ACCV (5), 2024)

Constant Rate Schedule: Constant-Rate Distributional Change for Efficient Training and Sampling in Diffusion Models. - Shuntaro Okada; Kenji Doi; Ryota Yoshihashi; Hirokatsu Kataoka; Tomohiro Tanaka (CoRR, 2024)

VASCAR: Content-Aware Layout Generation via Visual-Aware Self-Correction. - Jiahao Zhang; Ryota Yoshihashi; Shunsuke Kitada; Atsuki Osanai; Yuta Nakashima (CoRR, 2024)