sstojanov

CRIB_Data_Generator

Data Generator for Incremental Learning

experiments

3DShapeGen

Code for 3D Reconstruction of Novel Object Shapes from Single Images paper

dope_selfsup

lowshot-shapebias

Learning low-shot object classification with explicit shape bias learned from point clouds

CRIB_Data_Generator

Data Generator for Incremental Learning

cs231n

Exercises for Stanford's cs231n course.

DeeperInverseCompositionalAlgorithm

Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

Monocular-Depth-Estimation-Toolbox

Monocular Depth Estimation Toolbox based on MMSegmentation.

sstojanov/DeeperInverseCompositionalAlgorithm

Taking a Deeper Look at the Inverse Compositional Algorithm (CVPR 2019, Oral)

sstojanov/mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

sstojanov/Monocular-Depth-Estimation-Toolbox

Monocular Depth Estimation Toolbox based on MMSegmentation.

sstojanov/CRIB_Data_Generator

Data Generator for Incremental Learning

sstojanov/cs231n

Exercises for Stanford's cs231n course.

sstojanov/devlearning-gt.github.io

sstojanov/experiments

sstojanov/dinov2

Adapting DINOv2 code for training on additional image datasets + downstream evaluations for depth and segmentation

sstojanov/iolfcv.github.io

sstojanov/SimSiam

A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

sstojanov/sstojanov.github.io

sstojanov/wordrep

using neural networks to represent words