N-NEJATISHAHIDIN

ply_semantic_segmentation

AVD_SPATIAL_RELATION

N-NEJATISHAHIDIN.github.io

detic_on_sam

ai2thor_grounding_dataset

semantic_map_navigation

Pose_from_Mid-level

ICRA_2022_Pose_From_Mid_Level

Total3DUnderstanding

Implementation of CVPR'20 Oral: Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image

Pose-Estimation-on-Pix3D-Dataset

The goal is to train end-to-end models for pose estimation on the Pix3D dataset. The pose estimation task is defined as a classification task. The model should classify the pose into eight bins.

AVD-Visualization

Active Vision Dataset shortest path visualization.

Pose_estimation_FCGF-

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

DeepLearning

CS 747 course Projects

ImplementationOfCompleteBalancingViaRotation

Implementation Of Complete Balancing Via Rotation

ComputerVision

CS 682 George Mason University course projects

Data-Mining-CS584

models

Models and examples built with TensorFlow

CS-747-Deep-Learning

Pix2Pose

Original implementation of the paper "Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation", in ICCV 2019, https://arxiv.org/abs/1908.07433

PyGraphSLAM

Python implementation of Graph SLAM

singleshotpose

This research project implements a real-time object detection and pose estimation method as described in the paper, Tekin et al. "Real-Time Seamless Single Shot 6D Object Pose Prediction", CVPR 2018. (https://arxiv.org/abs/1711.08848).

icp

iterative closest point

active_vision_dataset_processing

marrnet

MarrNet: 3D Shape Reconstruction via 2.5D Sketches