bhaktipriya / Dense-Optical-Flow-Prediction
Deep learning mechanism to predict the dense optical flow of every pixel given a static image. This approach considers non-semantic form of action prediction that makes it domain independent and makes no assumptions of the underlying scene.
☆14Updated 8 years ago
Alternatives and similar repositories for Dense-Optical-Flow-Prediction
Users that are interested in Dense-Optical-Flow-Prediction are comparing it to the libraries listed below
Sorting:
- Code and models of paper " Chained Multi-stream Networks Exploiting Pose, Motion, and Appearance for Action Classification and Detection"…☆27Updated 6 years ago
- Code for "Predictive-Corrective Networks for Action Detection"☆16Updated 7 years ago
- experiments on classifying actions using poses☆26Updated 7 years ago
- P-CNN: Pose-based CNN Features for Action Recognition☆52Updated 7 years ago
- Train action classification model based on individual frames☆41Updated 6 years ago
- Actionness Estimation Using Hybrid Fully Convolutional Networks☆30Updated 8 years ago
- TensorFlow implementation for "Guided Optical Flow Learning"☆25Updated 7 years ago
- code for Two-Stream SR-CNNs for Action Recognition in Videos 2016☆34Updated 6 years ago
- Optical flow extraction tool using OpenCV☆16Updated 8 years ago
- ☆22Updated 8 years ago
- Activity Recognition in Videos using UCF101 dataset☆60Updated 10 years ago
- Multi-object tracker using structured graphs, as proposed in the CVIU paper☆10Updated 6 years ago
- Action localization Proposals from dense Trajectories☆21Updated 9 years ago
- Pytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J…☆30Updated 5 years ago
- Multi-stream CNN architectures for action detection with actor-centric filtering☆26Updated 6 years ago
- Temporal action proposals☆47Updated 5 years ago
- Our implementation of Recurrent Pose Attention in Du et al.: "RPAN: An End-to-End Recurrent Pose-attention Network for Action Recognition…☆37Updated 6 years ago
- Improved Dense Trajectory features encoded by Fisher Vectors☆25Updated 7 years ago
- Disentangling Motion, Foreground and Background Features in Videos☆26Updated 7 years ago
- Im2Flow: Motion Hallucination from Static Images for Action Recognition (CVPR 2018)☆54Updated 6 years ago
- Code for CVPR 2016 paper "First Person Action Recognition Using Deep Learned Descriptors"☆26Updated 11 months ago
- PatchBatch - a Batch Augmented Loss for Optical Flow☆30Updated 6 years ago
- [CVPR 2017] Video motion segmentation and tracking☆182Updated 8 years ago
- ☆40Updated 7 years ago
- ☆22Updated 8 years ago
- ☆30Updated 6 years ago
- Temporal augmentation with two-stream ConvNet features on human action recognition☆18Updated 8 years ago
- A tensorflow implementation of Generating Videos with Scene Dynamics☆6Updated 3 years ago
- Simple C3D (3D convolutional Network) in Pytorch☆52Updated 7 years ago
- Code for paper: Optical Flow Guided Feature: A Fast and Robust Motion Representation for Video Action Recognition☆28Updated 2 years ago