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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....
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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...
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12/05/2022
Fine-grained Image Editing by Pixel-wise Guidance Using Diffusion Models
Generative models, particularly GANs, have been utilized for image editi...
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03/15/2021
Semi-supervised learning by selective training with pseudo labels via confidence estimation
We propose a novel semi-supervised learning (SSL) method that adopts sel...
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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...
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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 ...
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01/19/2021
Source-free Domain Adaptation via Distributional Alignment by Matching Batch Normalization Statistics
In this paper, we propose a novel domain adaptation method for the sourc...
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03/13/2019
