Name: Anirudh S Chakravarthy
Type: User
Company: @cruise
Bio: ML Engineer, Cruise Perception | MS in Computer Vision, CMU | B.E. Computer Science, BITS Pilani
Location: San Francisco, CA
Blog: https://anirudh-chakravarthy.github.io/
Anirudh S Chakravarthy's Projects
ML Assignment #2
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
Lane Finding Project for Self-Driving Car ND
A Pytorch implementation of CASENet for the Cityscapes Dataset
Simultaneous object detection and tracking using center points.
Solved Assignments from Stanford CS231n: Convolutional Neural Networks for Visual Recognition
Solutions to the Lab Sheets and Assignments for CSF211-Data Structures and Algorithms, BITS Pilani (2018-19)
A compiler for the ERPLAG language.
Classification of news captions on the Liar-Plus Dataset
Implementation of Firewall rules using Logic Programming(Prolog)
Code for CMU 16-889: Learning for 3D Vision's Course Project
Code for CMU 16-824: Visual Learning and Recognition Course Project
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Submission for Round 1 of HackerEarth's IndiaMART Hackathon
Implementation of the paper "Fake News Detection on Social Media using Geometric Deep Learning".
An attempt at Kaggle's Aerial Cactus Identification challenge
Solutions to the Andrew Ng Coursera course titled "Machine Learning"
MOTSFusion: Track to Reconstruct and Reconstruct to Track
[CVPRW 2021] Code release for the paper "MRSCAtt: A Spatio-Channel Attention-Guided Network for Mars Rover Image Classification"
Solution to the assignment for BITS Pilani's CS F241- Microprocessor and Interfacing
[CVPRW 2021] - Object Propagation via Inter-Frame Attentions for Temporally Stable Video Instance Segmentation
PointTrack (ECCV2020 ORAL): Segment as Points for Efficient Online Multi-Object Tracking and Segmentation
Fast Video Object Segmentation by Reference-Guided Mask Propagation
RVOS: End-to-End Recurrent Network for Video Object Segmentation (CVPR 2019)
Implementations of Semantic Segmentation architectures
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)