Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts. - Akinobu Shimizu; Keita Nakagomi; Takuya Narihira; Hidefumi Kobatake; Shigeru Nawano; Kenji Shinozaki; Koichi Ishizu; Kaori Togashi (MCV, 2010)

Ensemble Learning Based Segmentation of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography. - Akinobu Shimizu; Takuya Narihira; Hidefumi Kobatake; Daisuke Furukawa; Shigeru Nawano; Kenji Shinozaki (IEICE Trans. Inf. Syst., 2013)

Learning lightness from human judgement on relative reflectance. - Takuya Narihira; Michael Maire; Stella X. Yu (CVPR, 2015)

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. - Takuya Narihira; Michael Maire; Stella X. Yu (ICCV, 2015)

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets. - Takuya Narihira; Damian Borth; Stella X. Yu; Karl Ni; Trevor Darrell (CoRR, 2015)

Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. - Michael Maire; Takuya Narihira; Stella X. Yu (CVPR, 2016)

Fully Convolutional Search Heuristic Learning for Rapid Path Planners. - Yuka Ariki; Takuya Narihira (CoRR, 2019)

3D-CNN Based Heuristic Guided Task-Space Planner for Faster Motion Planning. - Ryo Terasawa; Yuka Ariki; Takuya Narihira; Toshimitsu Tsuboi; Ken'ichiro Nagasaka (ICRA, 2020)

Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling. - Akio Hayakawa; Takuya Narihira (CoRR, 2020)

Reference-Based Video Colorization with Spatiotemporal Correspondence. - Naofumi Akimoto; Akio Hayakawa; Andrew Shin; Takuya Narihira (CoRR, 2020)

Transformer-Exclusive Cross-Modal Representation for Vision and Language. - Andrew Shin; Takuya Narihira (ACL/IJCNLP (Findings), 2021)

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives. - Akio Hayakawa; Masato Ishii; Yoshiyuki Kobayashi; Akira Nakamura; Takuya Narihira; Yukio Obuchi; Andrew Shin; Takuya Yashima; Kazuki Yoshiyama (CoRR, 2021)

Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions. - Kenji Suzuki; Yoshiyuki Kobayashi; Takuya Narihira (CoRR, 2021)

Thinking the Fusion Strategy of Multi-reference Face Reenactment. - Takuya Yashima; Takuya Narihira; Tamaki Kojima (CoRR, 2022)

Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models. - Naoki Matsunaga; Masato Ishii; Akio Hayakawa; Kenji Suzuki; Takuya Narihira (CoRR, 2022)

Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision. - Andrew Shin; Masato Ishii; Takuya Narihira (Int. J. Comput. Vis., 2022)

DetOFA: Efficient Training of Once-for-All Networks for Object Detection using Path Filter. - Yuiko Sakuma; Masato Ishii; Takuya Narihira (ICCV (Workshops), 2023)

NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object. - Kazuki Yoshiyama; Takuya Narihira (CoRR, 2023)

DetOFA: Efficient Training of Once-for-All Networks for Object Detection by Using Pre-trained Supernet and Path Filter. - Yuiko Sakuma; Masato Ishii; Takuya Narihira (CoRR, 2023)

Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion. - Hiromichi Kamata; Yuiko Sakuma; Akio Hayakawa; Masato Ishii; Takuya Narihira (CoRR, 2023)

GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping. - Junyoung Seo; Kazumi Fukuda; Takashi Shibuya 001; Takuya Narihira; Naoki Murata; Shoukang Hu; Chieh-Hsin Lai; Seungryong Kim; Yuki Mitsufuji (NeurIPS, 2024)

HumanGif: Single-View Human Diffusion with Generative Prior. - Shoukang Hu; Takuya Narihira; Kazumi Fukuda; Ryosuke Sawata; Takashi Shibuya 001; Yuki Mitsufuji (CoRR, 2025)

D^2USt3R: Enhancing 3D Reconstruction with 4D Pointmaps for Dynamic Scenes. - Jisang Han; Honggyu An; Jaewoo Jung; Takuya Narihira; Junyoung Seo; Kazumi Fukuda; Chaehyun Kim; Sunghwan Hong; Yuki Mitsufuji; Seungryong Kim (CoRR, 2025)

Vid-CamEdit: Video Camera Trajectory Editing with Generative Rendering from Estimated Geometry. - Junyoung Seo; Jisang Han; Jaewoo Jung; Siyoon Jin; Joungbin Lee; Takuya Narihira; Kazumi Fukuda; Takashi Shibuya 001; Donghoon Ahn; Shoukang Hu; Seungryong Kim; Yuki Mitsufuji (CoRR, 2025)