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Associative Embedding

joint detection and grouping

Related work Vector embeddings Perceptual organization group pixels into parts detecting basic visual units first and grouping them second. our approach performs detection and grouping ...

Posted by Stephen Zhou on October 18, 2017

PixelGAN autoencoders

GAN

Outline The paper proposes a generative autoencoder combining PixelCNN & GAN: Show different priors result in different decompositions of information A categorical prior can be us...

Posted by Tab on October 14, 2017

Interpretable Convolutional Neural Network

Reference Quanshi Zhang, Ying Nian Wu, Song-Chun Zhu. Interpretable Convolutional Neural Networks, arxiv 2017.

Posted by Chaowei FANG on October 13, 2017

Feature Pyramid Networks for Object Detection

Abstract This paper deals with the issue of Object Detection, and the author provide a new algorithm call “Feature Pyramid Networks” , which is inspired by “Image Pyramid” in traditional object de...

Posted by zcy on October 11, 2017

VAE Tutorial

VAE

Formation Maximum Likelihood — Find $\theta$ to maximize $P(X)$, where $X$ is the data. $z \sim P(z)$, which we can sample from Naive solution Approximate with samples of z Problems Need ...

Posted by Tab on October 8, 2017

Globally and Locally Consistent Image Completion

inpainting

Related work diffusion-based image synthesis: histograms of local features patch-based approaches: PatchMatch CNN-based: limited to very small and thin masks context encoder-bas...

Posted by stephen_zhou on October 7, 2017

Unsupervised representation learning with deep convolutional generative adversarial networks

DCGAN

Related work Unsupervised representation learning: K-means auto-encoders Generating natural images: parametric and non- parametric non-parametric: texture synthesis , super-resolution, in-painting...

Posted by stephenzhou on October 7, 2017

Auto-Encoding Variational Bayes

VAE

Introduction This paper is written by Diederik P. Kingma, Max Welling and this report is done by Yan Zheyu from Liao’s Group in Zhejiang University. Because the writer of paper Tutorial on Variatio...

Posted by Yan Zheyu on October 3, 2017

Generative Adversarial Networks

GAN

Outline Abstract Related Works Main idea Discussion Abstract Generative Adversarial Networks is a new framework for estimating generative models via an adversarial process, which inclu...

Posted by zcy on September 30, 2017

Deep Bilateral Learning for real-time image enhancement(Siggraph 2017)

Outline Bilateral Grid Local Affine Transformation Network FrameWork Bilateral Grid Bilateral Grid Bilateral Grid Bilateral Grid Bilateral Grid Bilateral Grid...

Posted by lechao cheng on September 30, 2017

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machine learning generative model computer vision deep learning GAN VAE object detection Video Understanding Generative Model RNN Neural Networks Neural Network Image Synthesis
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