Name: Muralikrishna SN
Type: User
Company: @Manipal Institute of Technology
Bio: 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.
Blog: https://manipal.edu/mit/department-faculty/faculty-list/muralikrishna-sn.html
Muralikrishna SN's Projects
Activity Recognition from 2D pose using an LSTM RNN
An online platform based on adversarial training for pixel wise classification on medical images.
Semantic Textual Similarity (STS) measures the degree of equivalence in the underlying semantics of paired snippets of text.
Comparing TF-IDF, fastText, LASER, Sentence-BERT & USE for semantic similarity. One test with STS Benchmark and one test with self-made sentences.
Datasets for semantic similarity evaluation
semantic similarity framework for knowledge graph
SimpleMKL Toolbox from http://asi.insa-rouen.fr/enseignants/~arakoto/code/mklindex.html
Realtime implemnetation of spatial-temporal local features
A collection of Semantic Textual Similarity (STS) models and a framework for their evaluation on STS corpora with fine-grained similarity scores
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Semantic Similarity Measurement of Texts using Convolutional Neural Networks (He et al., EMNLP 2015)
Code release for "Convolutional Two-Stream Network Fusion for Video Action Recognition", CVPR 2016.
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
Code for VideoCapsuleNet: A Simplified Network for Action Detection
Efficient 3D human pose estimation in video using 2D keypoint trajectories
Visualization of popular algorithms using NetworkX Graph libray
word2vec, doc2vec, GloVe implementation with Python