Pet dogs are our good friends. Realizing the dog’s emotions through the dog's facial expressions is beneficial to the harmonious coexistence between human beings and pet dogs. This paper describes a study on do
Kowalski, M.; Naruniec, J.; Trzcinski, T.: "Deep Alignment Network: A convolutional neural network for robust face alignment", CVPRW 2017 License While the code is licensed under the MIT license, which allows for commercial use, keep in mind that the models linked above were trained on th...
In this work, we present a method for integrating explicit statistical shape priors into a deep convolutional network by introducing a novel layer which allows using statistical PCA-based models directly in the network, resulting in a highly efficient deep face alignment architecture capable of ...
University of Memphis, Institute for Intelligent Systems, Department of Electrical & Computer Engineering, Memphis, Tennessee, United States Computational models of perception-action loop, Multimodal models, Neural network models for reasoning and explanation, Artificial Intelligence ...
VPT: Video portraits transformer for realistic talking face generation Zhijun Zhang, Jian Zhang, Weijian Mai Article 107122 Article preview Reviews select article Promises and perils of using Transformer-based models for SE research Review articleOpen access Promises and perils of using Transformer-based...
Integration of image quality and motion cues for face anti-spoofing A neural network approach,程序员大本营,技术文章内容聚合第一站。
Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network 2016https://github.com/anhttran/3dmm_cnn 密集人脸对齐 用cnn学习2d图像与3d图像之间的密集对应关系 然后使用预测的密集约束计算3DMM参数。 DeFA: Dense Face Alignment /Pose-Invariant Face Alignment (PIFA) ICCV 2017...
For grayscale images, we took the mean over the original three color channels. Network and training details We simulated our models in a TensorFlow framework, using built-in functions whenever possible. Since some of the convolutional kernels and PSFs we tried to optimize were much larger than ...
The other is that these models usually lack to explore language associations among image pixels. In this work, a Multi-scale Gradient balanced Central Difference Convolution (MG-CDC) and a Graph convolutional network-based Language and Image Fusion (GLIF) for cross-modal encoder, called Graph-...
将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解. Contribute to Linwei-Chen/AlphaTree-graphic-deep-neural-network development by creating an account on GitHub.