Photo-Realistic Single Image Super-Resolution Using a ...

What Have We Learned From Deep Representations for …

what these powerful models actually have learned. In this paper we shed light on deep spatiotemporal net-works by visualizing what excites the learned models us-ing activation maximization by backpropagating on the in-put. We are the first to visualize the hierarchical features

  What, Have, Learned, What we have learned, Have learned

Finding Tiny Faces in the Wild With Generative Adversarial ...

faces, which are unfriendly for the face classifier. Toward-s this end, we design a refinement sub-network to recover some detailed information. In the discriminator network, the basic GAN [17, 12, 8] is trained to distinguish the real and fake high resolution images. To classify faces or non-

  Faces

Squeeze-and-Excitation Networks - openaccess.thecvf.com

Squeeze-and-Excitation Networks Jie Hu1∗ Li Shen2∗ Gang Sun1 hujie@momenta.ai lishen@robots.ox.ac.uk sungang@momenta.ai 1 Momenta 2 Department of Engineering Science, University of Oxford Abstract Convolutional neural networks are built upon the con-

  Network, Excitation, Squeeze and excitation networks, Squeeze

RegularFace: Deep Face Recognition via Exclusive ...

RegularFace: Deep Face Recognition via Exclusive Regularization Kai Zhao Jingyi Xu Ming-Ming Cheng ∗ TKLNDST, CS, Nankai University kaiz.xyz@gmail.com cmm@nankai.edu.cn

  Zhao

Protecting World Leaders Against Deep Fakes

Protecting World Leaders Against Deep Fakes Shruti Agarwal and Hany Farid University of California, Berkeley Berkeley CA, USA {shrutiagarwal, hfarid}@berkeley.edu

Auto-DeepLab: Hierarchical Neural Architecture Search for ...

Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation Chenxi Liu1∗, Liang-Chieh Chen 2, Florian Schroff2, Hartwig Adam2, Wei Hua2, Alan Yuille1, Li Fei-Fei3 1Johns Hopkins University 2Google 3Stanford University Abstract Recently, NeuralArchitectureSearch(NAS)hassuccess-

PointNet: Deep Learning on Point Sets ... - CVF Open Access

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation Charles R. Qi* Hao Su* Kaichun Mo Leonidas J. Guibas Stanford University

  Open, Learning, Points, Deep, Sets, Pointnet, Deep learning on point sets

Frustum PointNets for 3D Object Detection From RGB-D Data

Frustum PointNets for 3D Object Detection from RGB-D Data Charles R. Qi1∗ Wei Liu2 Chenxia Wu2 Hao Su3 Leonidas J. Guibas1 1Stanford University 2Nuro, Inc. 3UC San Diego Abstract In this work, we study 3D object detection from RGB-D data in both indoor and outdoor scenes.

Class-Balanced Loss Based on Effective Number of Samples

and large-scale datasets including ImageNet and iNatural-ist. Our results show that when trained with the proposed class-balanced loss, the network is able to achieve signifi-cant performance gains on long-tailed datasets. 1. Introduction The recent success of deep Convolutional Neural Net-works (CNNs) for visual recognition [26, 37, 38, 16] owes

  Scale, Visual, Recognition, Visual recognition

ESRGAN: Enhanced Super-Resolution Generative Adversarial ...

ESRGAN: EnhancedSuper-Resolution Generative Adversarial Networks Xintao Wang 1, Ke Yu , Shixiang Wu2, Jinjin Gu3, Yihao Liu4, Chao Dong 2, Yu Qiao , and Chen Change Loy5 1 CUHK-SenseTime Joint Lab, The Chinese University of Hong Kong 2 Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences 3 The Chinese University of Hong Kong, …

  Network, Adversarial, Generative, Generative adversarial, Generative adversarial networks

Vision Statement Definitions and Examples (compiled by ...

Jan 31, 2008 · powerful vision statements. Summarize Your Vision in a Powerful Phrase If possible, try to summarize your vision using a powerful phrase in the first paragraph of your vision statement. Capturing the essence of your vision using a simple memorable phrase can greatly enhance the effectiveness of your vision statement. This phrase will

  Testament, Powerful, Vision, Vision statement, Powerful vision

Characteristics of Mission and Vision Statements

The vision statement is supposed to challenge, enthuse and inspire. Use powerful words and vivid phrases to articulate the kind of institution you are trying to become.

  Mission, Powerful, Characteristics, Vision, Characteristics of mission

American Imperialism

parts of this vision. In 1867, the United States purchased Alaska from Russia for $72 million and occupied the Midway Islands in the Pacific. ... Henry Cabot Lodge, a powerful member of the Senate Committee on Foreign relations, strongly urged the country to …

  Powerful, Vision

CartoonGAN: Generative Adversarial Networks for Photo ...

puter vision algorithms, the goal of cartoon stylization is to map images in the photo manifold into the cartoon mani- ... more powerful style transfer methods have been developed which do not require paired training images. Given a style image and a content image, Gatys et al. [6] first proposed a neural style transfer (NST) method based

  Powerful, Vision

An Experimental Comparison of Min-Cut/Max-Flow …

Greig et al. [15] were first to discover that powerful min-cut/max-flow algorithms from combi-natorial optimization can be used to minimize certain important energy functions in vision. The energies addressed by Greig et al. and by most later graph-based methods (e.g. [32, 18, 4, 17, 8,

  Powerful, Vision

Industrial Strategy: building a Britain fit for the future

a vital step in delivering that vision. More than just a set of announcements, it heralds a new approach to how government and business can work together to shape a stronger, fairer economy. At its heart it epitomises my belief in a strong and strategic state that intervenes decisively wherever it can make a difference. It is rooted in

  Industrial, Strategy, Vision, Industrial strategy