dtananaev Goto Github PK

3d-metrics

Implementations of 3D metrics for object detection

3d_bbox_highway

a2d2visu

calibration

carlafsd

cityscape_semseg_tf

cnn_segmentation

cs231n-2016-winter

All lecture notes and assignments for CS231n: Convolutional Neural Networks for Visual Recognition class by Stanford

cs231n_assignments

The solutions for the Stanford course cs231n:Convolutional Neural Networks for Visual Recognition (ws2016). URL: http://cs231n.stanford.edu/index.html

cuda_filters

The GPU implementation of the filters for Nvidia cuda

cv_3dreconstruction

The tools for 3D reconstruction

cv_filters

The filters for denoising non-local mean, diffusion, Gauss etc.

cv_opticalflow

Different types of the otical flow based on variational methods

cv_segmentation

Segmentation techniques of the picture

depthnet

Tensorflow scripts for the CNN which output depth given single image

dinov2

PyTorch code and models for the DINOv2 self-supervised learning method.

dl_frameworks_example

droid-slam

dtananaev.github.io

dynamic_objects

ekf_tracking

expansion

Upgrading Optical Flow to 3D Scene Flow through Optical Expansion, CVPR 2020 (Oral).

fourier-feature-networks

Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

google-research

Google Research

hierarchical-localization

Visual localization made easy with hloc

image-matching-benchmark

Public release of the Image Matching Benchmark: https://vision.uvic.ca/image-matching-challenge

lidar_dynamic_objects_detection

line3dpp

Line3D++ - Multi-View Stereo using Line Segments

localization

Robot localization with deep learning

lsd

a Line Segment Detector