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ORCIDTakuya Narihira
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2020 – today
- 2024
[i15]Junyoung Seo, Kazumi Fukuda, Takashi Shibuya
, Takuya Narihira, Naoki Murata, Shoukang Hu, Chieh-Hsin Lai, Seungryong Kim, Yuki Mitsufuji:
GenWarp: Single Image to Novel Views with Semantic-Preserving Generative Warping. CoRR abs/2405.17251 (2024)- 2023
- [c7]Yuiko Sakuma, Masato Ishii, Takuya Narihira:
DetOFA: Efficient Training of Once-for-All Networks for Object Detection using Path Filter. ICCV (Workshops) 2023: 1325-1334 - [i14]Kazuki Yoshiyama, Takuya Narihira:
NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object. CoRR abs/2302.00675 (2023) - [i13]Yuiko Sakuma, Masato Ishii, Takuya Narihira:
DetOFA: Efficient Training of Once-for-All Networks for Object Detection by Using Pre-trained Supernet and Path Filter. CoRR abs/2303.13121 (2023) - [i12]Hiromichi Kamata, Yuiko Sakuma, Akio Hayakawa, Masato Ishii, Takuya Narihira:
Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion. CoRR abs/2303.15780 (2023) - 2022
- [j2]Andrew Shin, Masato Ishii, Takuya Narihira:
Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision. Int. J. Comput. Vis. 130(2): 435-454 (2022) - [i11]Takuya Yashima, Takuya Narihira, Tamaki Kojima:
Thinking the Fusion Strategy of Multi-reference Face Reenactment. CoRR abs/2202.10758 (2022) - [i10]Naoki Matsunaga, Masato Ishii, Akio Hayakawa, Kenji Suzuki, Takuya Narihira:
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models. CoRR abs/2212.02024 (2022) - 2021
- [c6]Andrew Shin, Takuya Narihira:
Transformer-Exclusive Cross-Modal Representation for Vision and Language. ACL/IJCNLP (Findings) 2021: 2719-2725 - [i9]Akio Hayakawa, Masato Ishii, Yoshiyuki Kobayashi, Akira Nakamura, Takuya Narihira, Yukio Obuchi, Andrew Shin, Takuya Yashima, Kazuki Yoshiyama:
Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives. CoRR abs/2102.06725 (2021) - [i8]Andrew Shin, Masato Ishii, Takuya Narihira:
Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision. CoRR abs/2103.04037 (2021) - [i7]Kenji Suzuki, Yoshiyuki Kobayashi, Takuya Narihira:
Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions. CoRR abs/2103.11807 (2021) - 2020
- [c5]Ryo Terasawa, Yuka Ariki, Takuya Narihira, Toshimitsu Tsuboi, Ken'ichiro Nagasaka:
3D-CNN Based Heuristic Guided Task-Space Planner for Faster Motion Planning. ICRA 2020: 9548-9554 - [i6]Akio Hayakawa, Takuya Narihira:
Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling. CoRR abs/2010.14109 (2020) - [i5]Naofumi Akimoto, Akio Hayakawa, Andrew Shin, Takuya Narihira:
Reference-Based Video Colorization with Spatiotemporal Correspondence. CoRR abs/2011.12528 (2020)
2010 – 2019
- 2019
- [i4]Yuka Ariki, Takuya Narihira:
Fully Convolutional Search Heuristic Learning for Rapid Path Planners. CoRR abs/1908.03343 (2019) - 2016
- [c4]Michael Maire, Takuya Narihira, Stella X. Yu:
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CVPR 2016: 174-182 - 2015
- [c3]Takuya Narihira, Michael Maire, Stella X. Yu:
Learning lightness from human judgement on relative reflectance. CVPR 2015: 2965-2973 - [c2]Takuya Narihira, Michael Maire, Stella X. Yu:
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. ICCV 2015: 2992 - [i3]Takuya Narihira, Damian Borth, Stella X. Yu, Karl Ni, Trevor Darrell:
Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets. CoRR abs/1511.06838 (2015) - [i2]Takuya Narihira, Michael Maire, Stella X. Yu:
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression. CoRR abs/1512.02311 (2015) - [i1]Michael Maire, Takuya Narihira, Stella X. Yu:
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding. CoRR abs/1512.02767 (2015) - 2013
- [j1]Akinobu Shimizu, Takuya Narihira, Hidefumi Kobatake, Daisuke Furukawa, Shigeru Nawano, Kenji Shinozaki:
Ensemble Learning Based Segmentation of Metastatic Liver Tumours in Contrast-Enhanced Computed Tomography. IEICE Trans. Inf. Syst. 96-D(4): 864-868 (2013) - 2010
- [c1]Akinobu Shimizu, Keita Nakagomi, Takuya Narihira, Hidefumi Kobatake, Shigeru Nawano, Kenji Shinozaki, Koichi Ishizu, Kaori Togashi:
Automated Segmentation of 3D CT Images Based on Statistical Atlas and Graph Cuts. MCV 2010: 214-223
Coauthor Index
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