MLSNet: Resource-Efficient Adaptive Inference with Multi-Level Segmentation Networks. - Shuhei Yokoo; Satoshi Iizuka; Kazuhiro Fukui (ICIP, 2019)

Large-scale Landmark Retrieval/Recognition under a Noisy and Diverse Dataset. - Kohei Ozaki; Shuhei Yokoo (CoRR, 2019)

Two-stage Discriminative Re-ranking for Large-scale Landmark Retrieval. - Shuhei Yokoo; Kohei Ozaki; Edgar Simo-Serra; Satoshi Iizuka (CVPR Workshops, 2020)

Results and findings of the 2021 Image Similarity Challenge. - Zoë Papakipos; Giorgos Tolias; Tomás Jenícek; Ed Pizzi; Shuhei Yokoo; Wenhao Wang; Yifan Sun 003; Weipu Zhang; Yi Yang 001; Sanjay Addicam; Sergio Manuel Papadakis; Cristian Canton-Ferrer; et al. (NeurIPS (Competition and Demos), 2021)

Contrastive Learning with Large Memory Bank and Negative Embedding Subtraction for Accurate Copy Detection. - Shuhei Yokoo (CoRR, 2021)

On Text Localization in End-to-End OCR-Free Document Understanding Transformer Without Text Localization Supervision. - Geewook Kim; Shuhei Yokoo; Sukmin Seo; Atsuki Osanai; Yamato Okamoto; Youngmin Baek (ICDAR Workshops (1), 2023)

3rd Place Solution to Meta AI Video Similarity Challenge. - Shuhei Yokoo; Peifei Zhu; Junki Ishikawa; Rintaro Hasegawa (CoRR, 2023)

Leveraging Image-Text Similarity and Caption Modification for the DataComp Challenge: Filtering Track and BYOD Track. - Shuhei Yokoo; Peifei Zhu; Yuchi Ishikawa; Mikihiro Tanaka; Masayoshi Kondo; Hirokatsu Kataoka (CoRR, 2023)

The Effects of Short Video-Sharing Services on Video Copy Detection. - Rintaro Yanagi; Yamato Okamoto; Shuhei Yokoo; Shinichi Satoh 001 (CoRR, 2024)