Name: Nikhil Paliwal
Type: User
Company: Saarland University
Bio: Master student in Data Science and AI course | Passionate about research and development of technology related to Computer Vision and Deep Learning.
Twitter: nikp1806
Location: Saarbrücken, Germany
Blog: https://www.linkedin.com/in/nikhilpaliwal-linkedin/
Nikhil Paliwal's Projects
Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.
A curated list of awesome computer vision resources
A list of awesome Robotics resources
A curated list of awesome SLAM tutorials, projects and communities.
A curated list of awesome datasets for SLAM
:books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers
A curated list of papers & ressources linked to 3D reconstruction from images.
Autonomous driving neural network comparison tool
BiSeNet based on pytorch
An attempt to approach the flame detection task with fundamental image processing and ML techniques.
semantic segmentation by U-Net model on MS-COCO dataset.
Source-free unsupervised domain adaptation(UDA) as Noisy label learning | HLCV SS 2021 Project
Official code for NeurIPS paper "Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach".
Code for generating optical flow on Synthia-video and Cityscapes-Seq dataset
An official PyTorch implementation of "Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation", ECCV 2022.
The repository is a collection of Deep Learning algorithms for autonomous control of a formula-1 race car and an Iris drone on JdeRobot Behavior Metrics Circuits. Contains both PyTorch and Tensorflow Implementations.
A Tensorflow implementation of the models described in the paper "Efficient Deep Learning for Stereo Matching"
A toolkit for making real world machine learning and data analysis applications in C++
Solving the exercises for Programming for Robotics course by ETH Zurich
Draft of the fastai book
Adapting for building a motion boundary model
Predict whether the haemotalogical profile belongs to same patient or other.
Implementation and quantitative analysis of different classifier on top of pose data from separate model.
Learn OpenCV : C++ and Python Examples
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
A qualitative comparison of fast motion detection algorithm is demonstrated, along with their implementation and logic elucidation.