Guilin Liu | DeepAI

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Featured Co-authors

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Yuke Zhu
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Jun-Yan Zhu
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Zhiding Yu
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Jimei Yang
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Jinwei Gu
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∙ 05/13/2021

DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision

We introduce DiscoBox, a novel framework that jointly learns instance se...

8 Shiyi Lan, et al. ∙

∙ 07/14/2020

Transposer: Universal Texture Synthesis Using Feature Maps as Transposed Convolution Filter

Conventional CNNs for texture synthesis consist of a sequence of (de)-co...

2 Guilin Liu, et al. ∙

∙ 10/28/2019

Few-shot Video-to-Video Synthesis

Video-to-video synthesis (vid2vid) aims at converting an input semantic ...

14 Ting-Chun Wang, et al. ∙

∙ 06/13/2019

Unsupervised Video Interpolation Using Cycle Consistency

Learning to synthesize high frame rate videos via interpolation requires...

1 Fitsum A. Reda, et al. ∙

∙ 01/08/2019

Neural Inverse Rendering of an Indoor Scene from a Single Image

Inverse rendering aims to estimate physical scene attributes (e.g., refl...

12 Soumyadip Sengupta, et al. ∙

∙ 11/28/2018

Partial Convolution based Padding

In this paper, we present a simple yet effective padding scheme that can...

6 Guilin Liu, et al. ∙

∙ 11/02/2018

SDCNet: Video Prediction Using Spatially-Displaced Convolution

We present an approach for high-resolution video frame prediction by con...

6 Fitsum A. Reda, et al. ∙

∙ 08/20/2018

Video-to-Video Synthesis

We study the problem of video-to-video synthesis, whose goal is to learn...

4 Ting-Chun Wang, et al. ∙

∙ 04/20/2018

Image Inpainting for Irregular Holes Using Partial Convolutions

Existing deep learning based image inpainting methods use a standard con...

0 Guilin Liu, et al. ∙

∙ 08/01/2017

Material Editing Using a Physically Based Rendering Network

The ability to edit materials of objects in images is desirable by many ...

0 Guilin Liu, et al. ∙

∙ 04/20/2016

Symmetry-aware Depth Estimation using Deep Neural Networks

Due to the abundance of 2D product images from the Internet, developing ...

0 Guilin Liu, et al. ∙

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