Daniel Koguciuk (dkoguciuk)

dkoguciuk

Geek Repo

Company:Magic Leap

Location:Zurich, Switzerland

Home Page:www.linkedin.com/in/danielkoguciuk

Twitter:@dkoguciuk

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Daniel Koguciuk's starred repositories

polish-nlp-resources

Pre-trained models and language resources for Natural Language Processing in Polish

License:LGPL-3.0Stargazers:315Issues:0Issues:0

biHomE

This is the official repo for the CVPR 2021 IMW paper: "Perceptual Loss for Robust Unsupervised Homography Estimation"

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Zoo-For-Zotero

This is an Android app for viewing Zotero libraries.

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DenseCL

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

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OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

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kornia

Geometric Computer Vision Library for Spatial AI

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RobustChangeCaptioning

Code and dataset release for Park et al., Robust Change Captioning (ICCV 2019)

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mono_velocity

A PyTorch implementation of the ICRA 2020 paper 'End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera'.

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PFNet

Code Repo of 'Rethinking Planar Homography Estimation Using Perspective Fields'

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pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

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Badr_AI_Repo

TF2 repo, Easy Experimental Repo

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DeepHomography

Content-Aware Unsupervised Deep Homography Estimation

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torch-points3d

Pytorch framework for doing deep learning on point clouds.

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DF-VO

Depth and Flow for Visual Odometry

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awesome-image-registration

image registration related books, papers, videos, and toolboxes

License:CC-BY-SA-4.0Stargazers:1151Issues:0Issues:0

viewpoint-invariant-change-captioning

Code and dataset release for Park et al., Viewpoint Invariant Change Captioning

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Yet-Another-EfficientDet-Pytorch

The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

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AVData

Autonomous Vehicle Seasonal Dataset

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awesome-point-cloud-analysis

A list of papers and datasets about point cloud analysis (processing)

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pytorch3d

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

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spiralnet_plus

SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator (ICCV-W 2019)

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votenet

Deep Hough Voting for 3D Object Detection in Point Clouds

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D-CNN

Depth CNNs for RGB-D Scene Recognition: Learning From Scratch Better Than Transferring From RGB-CNNs

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pytorch-cheatsheet

Pytorch Cheatsheet

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VoteNet

Deep Hough Voting for 3D Object Detection in Point Clouds (https://arxiv.org/abs/1904.09664)

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PointCNN

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

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pcseg

Parallel Image Segmentation for Point Clouds

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pointnet2

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

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