Jimei Yang

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adobe ∙ University of California, Merced

Research Scientist at Adobe Research

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Contact and Human Dynamics from Monocular Video

Existing deep models predict 2D and 3D kinematic poses from video that a...
07/22/2020 ∙ by Davis Rempe, et al. ∙ 12 ∙ share

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High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

Existing image inpainting methods often produce artifacts when dealing w...
05/24/2020 ∙ by Yu Zeng, et al. ∙ 2 ∙ share

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Generative Tweening: Long-term Inbetweening of 3D Human Motions

The ability to generate complex and realistic human body animations at s...
05/18/2020 ∙ by Yi Zhou, et al. ∙ 3 ∙ share

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3D Ken Burns Effect from a Single Image

The Ken Burns effect allows animating still images with a virtual camera...
09/12/2019 ∙ by Simon Niklaus, et al. ∙ 0 ∙ share

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FreiHAND: A Dataset for Markerless Capture of Hand Pose and Shape from Single RGB Images

Estimating 3D hand pose from single RGB images is a highly ambiguous pro...
09/10/2019 ∙ by Christian Zimmermann, et al. ∙ 16 ∙ share

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Learning to Sit: Synthesizing Human-Chair Interactions via Hierarchical Control

Recent progress on physics-based character animation has shown impressiv...
08/20/2019 ∙ by Yu-Wei Chao, et al. ∙ 6 ∙ share

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Multimodal Style Transfer via Graph Cuts

An assumption widely used in recent neural style transfer methods is tha...
04/09/2019 ∙ by Yulun Zhang, et al. ∙ 24 ∙ share

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LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators

Layout is important for graphic design and scene generation. We propose ...
01/21/2019 ∙ by Jianan Li, et al. ∙ 0 ∙ share

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Foreground-aware Image Inpainting

Existing image inpainting methods typically fill holes by borrowing info...
01/17/2019 ∙ by Wei Xiong, et al. ∙ 12 ∙ share

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On the Continuity of Rotation Representations in Neural Networks

In neural networks, it is often desirable to work with various represent...
12/17/2018 ∙ by Yi Zhou, et al. ∙ 10 ∙ share

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Learning to Sketch with Deep Q Networks and Demonstrated Strokes

Doodling is a useful and common intelligent skill that people can learn ...
10/14/2018 ∙ by Tao Zhou, et al. ∙ 0 ∙ share

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Flow-Grounded Spatial-Temporal Video Prediction from Still Images

Existing video prediction methods mainly rely on observing multiple hist...
07/25/2018 ∙ by Yijun Li, et al. ∙ 0 ∙ share

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Free-Form Image Inpainting with Gated Convolution

We present a novel deep learning based image inpainting system to comple...
06/10/2018 ∙ by Jiahui Yu, et al. ∙ 0 ∙ share

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PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image

This paper proposes a deep neural network (DNN) for piece-wise planar de...
04/17/2018 ∙ by Chen Liu, et al. ∙ 2 ∙ share

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Neural Kinematic Networks for Unsupervised Motion Retargetting

We propose a recurrent neural network architecture with a Forward Kinema...
04/16/2018 ∙ by Ruben Villegas, et al. ∙ 0 ∙ share

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BodyNet: Volumetric Inference of 3D Human Body Shapes

Human shape estimation is an important task for video editing, animation...
04/13/2018 ∙ by Gül Varol, et al. ∙ 2 ∙ share

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MAttNet: Modular Attention Network for Referring Expression Comprehension

In this paper, we address referring expression comprehension: localizing...
01/24/2018 ∙ by Licheng Yu, et al. ∙ 0 ∙ share

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Generative Image Inpainting with Contextual Attention

Recent deep learning based approaches have shown promising results on im...
01/24/2018 ∙ by Jiahui Yu, et al. ∙ 0 ∙ share

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Predicting Scene Parsing and Motion Dynamics in the Future

The ability of predicting the future is important for intelligent system...
11/09/2017 ∙ by Xiaojie Jin, et al. ∙ 0 ∙ share

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FoveaNet: Perspective-aware Urban Scene Parsing

Parsing urban scene images benefits many applications, especially self-d...
08/08/2017 ∙ by Xin Li, et al. ∙ 0 ∙ share

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3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

The success of various applications including robotics, digital content ...
08/04/2017 ∙ by Chuhang Zou, et al. ∙ 0 ∙ share

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Material Editing Using a Physically Based Rendering Network

The ability to edit materials of objects in images is desirable by many ...
08/01/2017 ∙ by Guilin Liu, et al. ∙ 0 ∙ share

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Deep GrabCut for Object Selection

Most previous bounding-box-based segmentation methods assume the boundin...
07/02/2017 ∙ by Ning Xu, et al. ∙ 0 ∙ share

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Decomposing Motion and Content for Natural Video Sequence Prediction

We propose a deep neural network for the prediction of future frames in ...
06/25/2017 ∙ by Ruben Villegas, et al. ∙ 0 ∙ share

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Universal Style Transfer via Feature Transforms

Universal style transfer aims to transfer arbitrary visual styles to con...
05/23/2017 ∙ by Yijun Li, et al. ∙ 0 ∙ share

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Forecasting Human Dynamics from Static Images

This paper presents the first study on forecasting human dynamics from s...
04/11/2017 ∙ by Yu-Wei Chao, et al. ∙ 0 ∙ share

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Recurrent Multimodal Interaction for Referring Image Segmentation

In this paper we are interested in the problem of image segmentation giv...
03/23/2017 ∙ by Chenxi Liu, et al. ∙ 0 ∙ share

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Transformation-Grounded Image Generation Network for Novel 3D View Synthesis

We present a transformation-grounded image generation network for novel ...
03/08/2017 ∙ by Eunbyung Park, et al. ∙ 0 ∙ share

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Diversified Texture Synthesis with Feed-forward Networks

Recent progresses on deep discriminative and generative modeling have sh...
03/05/2017 ∙ by Yijun Li, et al. ∙ 0 ∙ share

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Perspective Transformer Nets: Learning Single-View 3D Object Reconstruction without 3D Supervision

Understanding the 3D world is a fundamental problem in computer vision. ...
12/01/2016 ∙ by Xinchen Yan, et al. ∙ 0 ∙ share

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Video Scene Parsing with Predictive Feature Learning

In this work, we address the challenging video scene parsing problem by ...
12/01/2016 ∙ by Xiaojie Jin, et al. ∙ 0 ∙ share

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Object Contour Detection with a Fully Convolutional Encoder-Decoder Network

We develop a deep learning algorithm for contour detection with a fully ...
03/15/2016 ∙ by Jimei Yang, et al. ∙ 0 ∙ share

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Deep Interactive Object Selection

Interactive object selection is a very important research problem and ha...
03/13/2016 ∙ by Ning Xu, et al. ∙ 0 ∙ share

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Weakly-supervised Disentangling with Recurrent Transformations for 3D View Synthesis

An important problem for both graphics and vision is to synthesize novel...
01/05/2016 ∙ by Jimei Yang, et al. ∙ 0 ∙ share

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Attribute2Image: Conditional Image Generation from Visual Attributes

This paper investigates a novel problem of generating images from visual...
12/02/2015 ∙ by Xinchen Yan, et al. ∙ 0 ∙ share

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