Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
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Updated
Mar 4, 2019 - Lua
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
This repository implements a demo of the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
This code implements a demo of the Binarized Convolutional Landmark Localizers for Human Pose Estimation and Face Alignment with Limited Resources paper by Adrian Bulat and Georgios Tzimiropoulos.
A Compositional Object-Based Approach to Learning Physical Dynamics
Real time face alignment
Training code for the networks described in "How far are we from solving the 2D & 3D Face Alignment problem? (and a dataset of 230,000 3D facial landmarks)" paper.
Torch Implementation of NIPS'16 paper: Perspective Transformer Nets
Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
3D ResNets for Action Recognition
This repository implements a demo of the Human pose estimation via Convolutional Part Heatmap Regression paper.
Implementation of "Camera Relocalization by Computing Pairwise Relative Poses Using Convolutional Neural Network" by Z.Laskar et al.
Semantic Similarity Measurement of Texts using Convolutional Neural Networks (He et al., EMNLP 2015)
Code for the paper entitled "Deep neural network for traffic sign recognition systems: An analysis of spatial transformers and stochastic optimisation methods".
Video classification tools using 3D ResNet
Temporal augmentation with two-stream ConvNet features on human action recognition
Kuang-Yu Chang, Kung-Hung Lu, and Chu-Song Chen, "Aesthetic Critiques Generation for Photos," International Conference on Computer Vision, ICCV 2017, October 2017.
Deep reinforcement learning package for torch7
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