An H.264/AVC High422 Profile and MPEG-2 422 Profile Encoder LSI for HDTV Broadcasting Infrastructures. - Koyo Nitta; Hiroe Iwasaki; Takayuki Onishi; Takashi Sano 001; Atsushi Sagata; Yasuyuki Nakajima; Minoru Inamori; Ryuichi Tanida; Atsushi Shimizu; Ken Nakamura; Mitsuo Ikeda; Jiro Naganuma (IEICE Trans. Electron., 2012)

GAN-based Image Compression Using Mutual Information Maximizing Regularization. - Shinobu Kudo; Shota Orihashi; Ryuichi Tanida; Atsushi Shimizu (PCS, 2019)

Subjective Quality Driven Image Encoding Method Using Image Completion. - Shota Orihashi; Shinobu Kudo; Ryuichi Tanida; Hideaki Kimata (APSIPA, 2020)

Hierarchical and Compact Bitmap Based Data Structure of Human Dynamics Data for Visualization. - Hideaki Kimata; Xiaojun Wu; Ryuichi Tanida (ICGSP, 2020)

Deep Feature Compression With Spatio-Temporal Arranging for Collaborative Intelligence. - Satoshi Suzuki; Motohiro Takagi; Shoichiro Takeda; Ryuichi Tanida; Hideaki Kimata (ICIP, 2020)

Fast-Parallel Singular Value Thresholding for Many Small Matrices based on Geometric Feature of Singular Values. - Takayuki Sasaki; Ryuichi Tanida; Masaki Kitahara; Hideaki Kimata (APSIPA ASC, 2021)

Knowledge Transferred Fine-Tuning for Anti-Aliased Convolutional Neural Network in Data-Limited Situation. - Satoshi Suzuki; Shoichiro Takeda; Ryuichi Tanida; Hideaki Kimata; Hayaru Shouno (ICIP, 2021)

Image Based Coding of Spatial Probability Distribution on Human Dynamics Data. - Hideaki Kimata; Xiaojun Wu; Ryuichi Tanida (IEICE Trans. Inf. Syst., 2021)

GAN-Based Image Compression Using Mutual Information for Optimizing Subjective Image Similarity. - Shinobu Kudo; Shota Orihashi; Ryuichi Tanida; Seishi Takamura; Hideaki Kimata (IEICE Trans. Inf. Syst., 2021)

Deep Feature Compression Using Spatio-Temporal Arrangement Toward Collaborative Intelligent World. - Satoshi Suzuki; Shoichiro Takeda; Motohiro Takagi; Ryuichi Tanida; Hideaki Kimata; Hayaru Shouno (IEEE Trans. Circuits Syst. Video Technol., 2022)

Distorted image classification using neural activation pattern matching loss. - Satoshi Suzuki; Shoichiro Takeda; Ryuichi Tanida; Yukihiro Bandoh; Hayaru Shouno (Neural Networks, 2023)

Memory-Efficient Point Cloud Registration via Overlapping Region Sampling. - Tomoyasu Shimada; Kazuhiko Murasaki; Shogo Sato; Toshihiko Nishimura; Taiga Yoshida; Ryuichi Tanida (VCIP, 2024)

Unsupervised Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training. - Shogo Sato; Takuhiro Kaneko; Kazuhiko Murasaki; Taiga Yoshida; Ryuichi Tanida; Akisato Kimura (CoRR, 2024)

Unsupervised Single-Image Intrinsic Image Decomposition with LiDAR Intensity Enhanced Training. - Shogo Sato; Takuhiro Kaneko; Kazuhiko Murasaki; Taiga Yoshida; Ryuichi Tanida; Akisato Kimura (WACV, 2025)

MultiBARF: Integrating Imagery of Different Wavelength Regions by Using Neural Radiance Fields. - Kana Kurata; Hitoshi Niigaki; Xiaojun Wu; Ryuichi Tanida (CoRR, 2025)

LiM-Loc: Visual Localization with Dense and Accurate 3D Reference Maps Directly Corresponding 2D Keypoints to 3D LiDAR Point Clouds. - Masahiko Tsuji; Hitoshi Niigaki; Ryuichi Tanida (CoRR, 2025)

Objective, Absolute and Hue-aware Metrics for Intrinsic Image Decomposition on Real-World Scenes: A Proof of Concept. - Shogo Sato; Masaru Tsuchida; Mariko Yamaguchi; Takuhiro Kaneko; Kazuhiko Murasaki; Taiga Yoshida; Ryuichi Tanida (CoRR, 2025)