b'Jianchao Yang'

Human Motion Transfer from Poses in the Wild

In this paper, we tackle the problem of human motion transfer, where we ...
04/07/2020 ∙ by Jian Ren, et al. ∙ 5 ∙ share

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AtomNAS: Fine-Grained End-to-End Neural Architecture Search

Designing of search space is a critical problem for neural architecture ...
12/20/2019 ∙ by Jieru Mei, et al. ∙ 16 ∙ share

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Deep Model Compression via Filter Auto-sampling

The recent WSNet [1] is a new model compression method through sampling ...
07/12/2019 ∙ by Daquan Zhou, et al. ∙ 1 ∙ share

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EnlightenGAN: Deep Light Enhancement without Paired Supervision

Deep learning-based methods have achieved remarkable success in image re...
06/17/2019 ∙ by Yifan Jiang, et al. ∙ 26 ∙ share

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Slimmable Neural Networks

We present a simple and general method to train a single neural network ...
12/21/2018 ∙ by Jiahui Yu, et al. ∙ 16 ∙ share

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YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark

Learning long-term spatial-temporal features are critical for many video...
09/06/2018 ∙ by Ning Xu, et al. ∙ 0 ∙ share

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YouTube-VOS: Sequence-to-Sequence Video Object Segmentation

Learning long-term spatial-temporal features are critical for many video...
09/03/2018 ∙ by Ning Xu, et al. ∙ 0 ∙ share

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Wide Activation for Efficient and Accurate Image Super-Resolution

In this report we demonstrate that with same parameters and computationa...
08/27/2018 ∙ by Jiahui Yu, et al. ∙ 0 ∙ share

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EIGEN: Ecologically-Inspired GENetic Approach for Neural Network Structure Searching

Designing the structure of neural networks is considered one of the most...
06/05/2018 ∙ by Jian Ren, et al. ∙ 0 ∙ share

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Factorized Adversarial Networks for Unsupervised Domain Adaptation

In this paper, we propose Factorized Adversarial Networks (FAN) to solve...
06/04/2018 ∙ by Jian Ren, et al. ∙ 0 ∙ share

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Efficient Video Object Segmentation via Network Modulation

Video object segmentation targets at segmenting a specific object throug...
02/04/2018 ∙ by Linjie Yang, et al. ∙ 1 ∙ share

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Action Recognition with Visual Attention on Skeleton Images

Action recognition with 3D skeleton sequences is becoming popular due to...
01/31/2018 ∙ by Zhengyuan Yang, et al. ∙ 0 ∙ share

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Learning 3D-FilterMap for Deep Convolutional Neural Networks

We present a novel and compact architecture for deep Convolutional Neura...
01/05/2018 ∙ by Yingzhen Yang, et al. ∙ 0 ∙ share

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WSNet: Compact and Efficient Networks with Weight Sampling

We present a new approach and a novel architecture, termed WSNet, for le...
11/28/2017 ∙ by Xiaojie Jin, et al. ∙ 0 ∙ share

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Learning to Segment Human by Watching YouTube

An intuition on human segmentation is that when a human is moving in a v...
10/04/2017 ∙ by Xiaodan Liang, et al. ∙ 0 ∙ share

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Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach

Emotion recognition from facial expressions is tremendously useful, espe...
09/10/2017 ∙ by Bowen Cheng, et al. ∙ 1 ∙ share

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GUN: Gradual Upsampling Network for single image super-resolution

In this paper, we propose an efficient super-resolution (SR) method base...
03/13/2017 ∙ by fcq, et al. ∙ 0 ∙ share

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Local Patch Classification Based Framework for Single Image Super-Resolution

Recent learning-based super-resolution (SR) methods often focus on the d...
03/12/2017 ∙ by fcq, et al. ∙ 0 ∙ share

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Learning from Noisy Labels with Distillation

The ability of learning from noisy labels is very useful in many visual ...
03/07/2017 ∙ by Yuncheng Li, et al. ∙ 0 ∙ share

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Dense Captioning with Joint Inference and Visual Context

Dense captioning is a newly emerging computer vision topic for understan...
11/21/2016 ∙ by Linjie Yang, et al. ∙ 0 ∙ share

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Proposal-free Network for Instance-level Object Segmentation

Instance-level object segmentation is an important yet under-explored ta...
09/09/2015 ∙ by Xiaodan Liang, et al. ∙ 0 ∙ share

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Deep Networks for Image Super-Resolution with Sparse Prior

Deep learning techniques have been successfully applied in many areas of...
07/31/2015 ∙ by Zhaowen Wang, et al. ∙ 0 ∙ share

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DeepFont: Identify Your Font from An Image

As font is one of the core design concepts, automatic font identificatio...
07/12/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Self-Tuned Deep Super Resolution

Deep learning has been successfully applied to image super resolution (S...
04/22/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Matching-CNN Meets KNN: Quasi-Parametric Human Parsing

Both parametric and non-parametric approaches have demonstrated encourag...
04/06/2015 ∙ by Si Liu, et al. ∙ 0 ∙ share

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Real-World Font Recognition Using Deep Network and Domain Adaptation

We address a challenging fine-grain classification problem: recognizing ...
03/31/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Designing A Composite Dictionary Adaptively From Joint Examples

We study the complementary behaviors of external and internal examples i...
03/12/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Deep Human Parsing with Active Template Regression

In this work, the human parsing task, namely decomposing a human image i...
03/09/2015 ∙ by Xiaodan Liang, et al. ∙ 0 ∙ share

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Learning Super-Resolution Jointly from External and Internal Examples

Single image super-resolution (SR) aims to estimate a high-resolution (H...
03/03/2015 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Collaborative Feature Learning from Social Media

Image feature representation plays an essential role in image recognitio...
02/05/2015 ∙ by Chen Fang, et al. ∙ 0 ∙ share

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Decomposition-Based Domain Adaptation for Real-World Font Recognition

We present a domain adaption framework to address a domain mismatch betw...
12/18/2014 ∙ by Zhangyang Wang, et al. ∙ 0 ∙ share

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Scalable Similarity Learning using Large Margin Neighborhood Embedding

Classifying large-scale image data into object categories is an importan...
04/24/2014 ∙ by Zhaowen Wang, et al. ∙ 0 ∙ share

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GPU Asynchronous Stochastic Gradient Descent to Speed Up Neural Network Training

The ability to train large-scale neural networks has resulted in state-o...
12/21/2013 ∙ by Thomas Paine, et al. ∙ 0 ∙ share

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Jianchao Yang

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