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c8pan's Projects

planit icon planit

Public code release for our SIGGRAPH 2019 paper "PlanIT: Planning and Instantiating Indoor Scenes with Relation Graph and Spatial Prior Networks"

pop_up_slam icon pop_up_slam

Pop-up SLAM: Semantic Monocular Plane SLAM for Low-texture Environments

pytorch-drl4vrp icon pytorch-drl4vrp

Implementation of: Nazari, Mohammadreza, et al. "Deep Reinforcement Learning for Solving the Vehicle Routing Problem." arXiv preprint arXiv:1802.04240 (2018).

quad3dr icon quad3dr

Quadrotor planning for 3D Reconstruction

quartet icon quartet

A tetrahedral mesh generator that does isosurface stuffing with an acute tetrahedral tile.

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

relocforests icon relocforests

C++ implementation of Scene Coordinate Regression Forests for Camera Relocalization.

researchwork icon researchwork

My research work, mainly on 3D reconstruction, includes Structure from Motion, SLAM, semantic reconstruction

rpg_open_remode icon rpg_open_remode

This repository contains an implementation of REMODE (REgularized MOnocular Depth Estimation), as described in the paper.

scenelib2 icon scenelib2

SceneLib2 is an open-source C++ library for SLAM originally designed and implemented by Professor Andrew Davison at Imperial College London.

sfmlearner icon sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

sophus icon sophus

C++ implementation of Lie Groups using Eigen.

sp_segmenter icon sp_segmenter

Superpixel-based semantic segmentation, with object pose estimation and tracking. Provided as a ROS package.

spaint icon spaint

A framework for interactive, real-time 3D scene segmentation

sparse-to-dense icon sparse-to-dense

Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image

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