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.

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Unsupervised Object Detection using Patch Based Image Classifier and Gradient Importance Map

Jan, 2021

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

June, 2020

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.

Journal Publications

Soft Computing

Volume: 25, Issue: 1

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

Jan, 2021


IEEE Sensors Letters

Volume: 4, Issue: 10

CamAspect: An Intelligent Automated Real-Time Surveillance System With Smartphone Indexing

Vanita Jain, Manu S Pillai, Lovetesh Chandra, Rohit Kumar, Manju Khari, Achin Jain

Oct, 2020

International Journal of Interactive Multimedia and Artificial Intelligence

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

Mar, 2021


International Journal of Interactive Multimedia and Artificial Intelligence

Multimodal Human Eye Blink Recognition Using Z-score Based Thresholding and Weighted Features

Puneet Singh Lamba, Deepali Virmani, Manu S Pillai, Gopal Chaudhary

Apr, 2021


Conference Proceedings

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

Mar, 2021


2020 IEEE Symposium Series on Computational Intelligence (SSCI)

Data Analysis of Lead Contamination in New York

John Shelley, Manu S Pillai, Sathish Kumar

Dec, 2020


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

Apr, 2019


Book Chapters

Computational Intelligence for Information Retrieval

CRC Press, Taylor & Francis Group

Accist: Automatic Traffic Accident Detection and Notification with Smartphones

Vanita Jain, Eeshita Gupta, Manu S Pillai, Priyanshi Bhola, Gopal Chaudhary

May, 2021


Get in touch at manusp[at]iisc[dot]ac[dot]in