muralikrishnasn
I am a researcher, working in the area of Computer Vision and AI. I am currently pursuing my post-doctoral study at Chosun University, Gwangju, S. Korea.
@Manipal Institute of Technology
Pinned Repositories
BGSKdash
dsse
Dynamic Searchable Symmetric Encryption
KannadaLex
KannadaLex is a lexical database
muralikrishnasn.github.io
My Personal web page
openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, and hands estimation
RNN-for-Human-Activity-Recognition-using-2D-Pose-Input
Activity Recognition from 2D pose using an LSTM RNN
semantic_similarity
Comparing TF-IDF, fastText, LASER, Sentence-BERT & USE for semantic similarity. One test with STS Benchmark and one test with self-made sentences.
muralikrishnasn's Repositories
muralikrishnasn/dsse
Dynamic Searchable Symmetric Encryption
muralikrishnasn/3d-DenseNet
3D Dense Connected Convolutional Network (3D-DenseNet for action recognition)
muralikrishnasn/Action-Recognition
Action Recognition using SVM, BoW pipeline
muralikrishnasn/action-recognition-1
CS676 course project
muralikrishnasn/CudaBasics
Basic Cuda tutorial
muralikrishnasn/Deep-Learning-for-Human-Activity-Recognition
muralikrishnasn/fastvideofeat
Efficient feature extraction, aggregation and classification for action recognition (CVPR 2014)
muralikrishnasn/harskel
Source code for the paper "Learning features combination for human action recognition from skeleton sequences".
muralikrishnasn/hog3d
Tool for computing 3D descriptors in videos developed in my paper "A spatio-temporal descriptor based on 3D gradients", A. Kläser, M. Marszalek and C. Schmid, published at BMVC 2008
muralikrishnasn/Human-Action-Recognition-and-Video-Classification-using-SVM-and-Deep-CNN-
muralikrishnasn/ie690
ie690 Karthik Deok
muralikrishnasn/kernelized-lsh
muralikrishnasn/kmeans
kmeans
muralikrishnasn/kmeans_cuda
Kmeans implementation in C++ / Cuda
muralikrishnasn/KTH-Dataset
Experimenting with the KTH human activity recognition dataset from http://www.nada.kth.se/cvap/actions/
muralikrishnasn/LSTM-Human-Activity-Recognition
Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).
muralikrishnasn/SegMed
An online platform based on adversarial training for pixel wise classification on medical images.
muralikrishnasn/SimpleMKL
SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html
muralikrishnasn/stipcv
Realtime implemnetation of spatial-temporal local features
muralikrishnasn/Text-Detection-
muralikrishnasn/textSimilarityConvNet
Semantic Similarity Measurement of Texts using Convolutional Neural Networks (He et al., EMNLP 2015)
muralikrishnasn/twostreamfusion
Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.
muralikrishnasn/Visualization-of-popular-algorithms-in-Python
Visualization of popular algorithms using NetworkX Graph libray