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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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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...
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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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02/22/2022
Thinking the Fusion Strategy of Multi-reference Face Reenactment
In recent advances of deep generative models, face reenactment -manipula...
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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...
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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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11/25/2020
Reference-Based Video Colorization with Spatiotemporal Correspondence
We propose a novel reference-based video colorization framework with spa...
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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...
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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...
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12/09/2015
Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding
Spectral embedding provides a framework for solving perceptual organizat...
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12/08/2015
Direct Intrinsics: Learning Albedo-Shading Decomposition by Convolutional Regression
We introduce a new approach to intrinsic image decomposition, the task o...
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11/21/2015
