Takuya Narihira | DeepAI

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∙ 03/28/2023

Instruct 3D-to-3D: Text Instruction Guided 3D-to-3D conversion

We propose a high-quality 3D-to-3D conversion method, Instruct 3D-to-3D....

0 Hiromichi Kamata, et al. ∙

∙ 03/23/2023

DetOFA: Efficient Training of Once-for-All Networks for Object Detection by Using Pre-trained Supernet and Path Filter

We address the challenge of training a large supernet for the object det...

0 Yuiko Sakuma, et al. ∙

∙ 02/02/2023

NDJIR: Neural Direct and Joint Inverse Rendering for Geometry, Lights, and Materials of Real Object

The goal of inverse rendering is to decompose geometry, lights, and mate...

0 Kazuki Yoshiyama, et al. ∙

∙ 12/05/2022

Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models

Generative models, particularly GANs, have been utilized for image editi...

0 Naoki Matsunaga, et al. ∙

∙ 02/22/2022

Thinking the Fusion Strategy of Multi-reference Face Reenactment

In recent advances of deep generative models, face reenactment -manipula...

6 Takuya Yashima, et al. ∙

∙ 03/22/2021

Data Cleansing for Deep Neural Networks with Storage-efficient Approximation of Influence Functions

Identifying the influence of training data for data cleansing can improv...

57 Kenji Suzuki, et al. ∙

∙ 03/06/2021

Perspectives and Prospects on Transformer Architecture for Cross-Modal Tasks with Language and Vision

Transformer architectures have brought about fundamental changes to comp...

17 Andrew Shin, et al. ∙

∙ 02/12/2021

Neural Network Libraries: A Deep Learning Framework Designed from Engineers' Perspectives

While there exist a plethora of deep learning tools and frameworks, the ...

30 Akio Hayakawa, et al. ∙

∙ 11/25/2020

Reference-Based Video Colorization with Spatiotemporal Correspondence

We propose a novel reference-based video colorization framework with spa...

0 Naofumi Akimoto, et al. ∙

∙ 10/27/2020

Out-of-core Training for Extremely Large-Scale Neural Networks With Adaptive Window-Based Scheduling

While large neural networks demonstrate higher performance in various ta...

21 Akio Hayakawa, et al. ∙

∙ 08/09/2019

Fully Convolutional Search Heuristic Learning for Rapid Path Planners

Path-planning algorithms are an important part of a wide variety of robo...

3 Yuka Ariki, et al. ∙

∙ 12/09/2015

Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding

Spectral embedding provides a framework for solving perceptual organizat...

0 Michael Maire, et al. ∙

∙ 12/08/2015

Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression

We introduce a new approach to intrinsic image decomposition, the task o...

0 Takuya Narihira, et al. ∙

∙ 11/21/2015

Mapping Images to Sentiment Adjective Noun Pairs with Factorized Neural Nets

We consider the visual sentiment task of mapping an image to an adjectiv...

0 Takuya Narihira, et al. ∙

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