Torr Vision Group
Torr Vision Group at the Department of Engineering Science of the University of Oxford, led by Prof. Philip Torr
Oxford, United Kingdom
Pinned Repositories
caffe
Caffe fork that supports CRF-RNN
CollaborativeSLAMDataset
The dataset associated with our ISMAR 2018 paper on Collaborative SLAM.
crayon
A language-agnostic interface to TensorBoard
crfasrnn
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
focal_calibration
Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
Objectness
BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/ and also http://www.robots.ox.ac.uk/~szheng/DepthProposals.html
pyORBSLAM2
Ultra-fast Boost.Python interface for ORBSLAM2
siamfc-tf
SiamFC tracking in TensorFlow.
spaint
A framework for interactive, real-time 3D scene segmentation
straighttoshapes
Straight To Shapes: Real-Time Detection of Encoded Shapes
Torr Vision Group's Repositories
torrvision/crfasrnn
This repository contains the source code for the semantic image segmentation method described in the ICCV 2015 paper: Conditional Random Fields as Recurrent Neural Networks. http://crfasrnn.torr.vision/
torrvision/crayon
A language-agnostic interface to TensorBoard
torrvision/siamfc-tf
SiamFC tracking in TensorFlow.
torrvision/spaint
A framework for interactive, real-time 3D scene segmentation
torrvision/Objectness
BING Objectness proposal estimator linux/mac/windows version implementation, runs at 1000 FPS. More in http://mmcheng.net/bing/ and also http://www.robots.ox.ac.uk/~szheng/DepthProposals.html
torrvision/focal_calibration
Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
torrvision/pyORBSLAM2
Ultra-fast Boost.Python interface for ORBSLAM2
torrvision/CollaborativeSLAMDataset
The dataset associated with our ISMAR 2018 paper on Collaborative SLAM.
torrvision/caffe
Caffe fork that supports CRF-RNN
torrvision/ELAS_SoC
Source Code for "Real-Time Dense Stereo Matching with ELAS on FPGA Accelerated Embedded Devices"
torrvision/straighttoshapes
Straight To Shapes: Real-Time Detection of Encoded Shapes
torrvision/whoneedsadversaries
Code implementing the experiments described in the NeurIPS 2018 paper "With Friends Like These, Who Needs Adversaries?".
torrvision/caffe-tvg
Caffe fork supporting segmentation algorithms by the Torr Vision Group
torrvision/seqtrack
torrvision/torrvision.github.io
torrvision/ViZDoom
Doom-based AI Research Platform for Reinforcement Learning from Raw Visual Information. :godmode:
torrvision/logger
A simple logger for experiments
torrvision/AirSim
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
torrvision/BicycleGAN
[NIPS 2017] Toward Multimodal Image-to-Image Translation
torrvision/doom-py
ViZDoom Python wrapper
torrvision/DSGAN
Implementation of Diversity-Sensitive Conditional Generative Adversarial Networks (ICLR 2019)
torrvision/gym-doom
Gym - Doom environments based on VizDoom.
torrvision/malmo
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presented by this unique environment. --- For installation instructions, scroll down to *Getting Started* below, or visit the project page for more information:
torrvision/Mobile-SDK-Android
DJI Mobile SDK for Android: http://developer.dji.com/mobile-sdk/
torrvision/octomap_mapping
ROS stack for mapping with OctoMap, contains octomap_server package
torrvision/octomap_rviz_plugins
RViz display plugins for visualizing octomap messages in ROS
torrvision/opencv
Open Source Computer Vision Library
torrvision/ProS-GAN
torrvision/pytorch-mace
A pytorch implementation of Structured Exploration via Deep Hierarchical Coordination
torrvision/sacred
Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.