Manu S Pillai is a BTech undergraduate from New Delhi, India. He is currently working as a Research Associate at IISc, Bengaluru. He was formerly an Instructor and Product Engineer at Coding Blocks. His research interests span all aspects of building effective and robust Computer Vision, Image Processing and Deep Learning techniques.
Unsupervised Object Detection using Patch Based Image Classifier and Gradient Importance Map
In this work, we propose an object detection training regime, that does not rely on bounding box labelled datasets, hence unsupervised in nature, and is solely based on trained image classifiers. We build up on our hypothesis, that, "if an image classifier is able to predict what object is in the input image, then it must have information about where the object is, we just need a mechanism to extract that information from it".
Touchless Palmprint Recognition Using Locally Attentive Convolutional Neural Networks
In this work, we try to propose a novel approach to touchless palmprint recognition using locally attentive CNNs. Its a CNN architecture with an image and its sub patches as input. With this methodology, we aim to reduce the inaccuracy of prediction of traditional methods by combining local and global image information into a single model. We use bilinear pooling to combine the feature descriptors of the local and global CNNs and use a inner product regularization while training.
Real-time image enhancement for an automatic automobile accident detection through CCTV using deep learning
Manu S Pillai, Gopal Chaudhary, Manju Khari, Ruben Gonzalez Crespo
Optimizing Fast Fourier Transform (FFT) Image Compression using Intelligent Water Drop (IWD) Algorithm
Gopal Chaudhary, Surinder Kaur, Yash Gupta, Manu S Pillai, Manju Khari, Javalkar Dinesh Kumar, Vicente Garcia, Javier Parra Fuentee
Multimodal Human Eye Blink Recognition Using Z-score Based Thresholding and Weighted Features
Puneet Singh Lamba, Deepali Virmani, Manu S Pillai, Gopal Chaudhary
3rd International Conference on Computing Informatics and Networks
Effective Background and Foreground Segmentation Using Unsupervised Frequency Domain Clustering
Shreya Kapoor, Manu S Pillai, Ashish Nagpal
2020 IEEE Symposium Series on Computational Intelligence (SSCI)
Data Analysis of Lead Contamination in New York
John Shelley, Manu S Pillai, Sathish Kumar
4th International Conference on Computers & Management
A Novel Approach for Depression Detection Using Audio Sentiment Analysis
Himani Negi, Tanish Bhola, Manu S Pillai, Deepika Kumar
Accist: Automatic Traffic Accident Detection and Notification with Smartphones
Vanita Jain, Eeshita Gupta, Manu S Pillai, Priyanshi Bhola, Gopal Chaudhary