Search Results for author: Mrinal Haloi

Found 13 papers, 2 papers with code

Table Detection in the Wild: A Novel Diverse Table Detection Dataset and Method

1 code implementation31 Aug 2022 Mrinal Haloi, Shashank Shekhar, Nikhil Fande, Siddhant Swaroop Dash, Sanjay G

In this paper, we introduce a diverse large-scale dataset for table detection with more than seven thousand samples containing a wide variety of table structures collected from many diverse sources.

Table Detection

An Ensemble Model for Face Liveness Detection

no code implementations19 Jan 2022 Shashank Shekhar, Avinash Patel, Mrinal Haloi, Asif Salim

In this paper, we present a passive method to detect face presentation attack a. k. a face liveness detection using an ensemble deep learning technique.

Rethinking Convolutional Semantic Segmentation Learning

no code implementations22 Oct 2017 Mrinal Haloi

Deep convolutional semantic segmentation (DCSS) learning doesn't converge to an optimal local minimum with random parameters initializations; a pre-trained model on the same domain becomes necessary to achieve convergence. In this work, we propose a joint cooperative end-to-end learning method for DCSS.

Classification General Classification +2

Gated Siamese Convolutional Neural Network Architecture for Human Re-Identification

no code implementations28 Jul 2016 Rahul Rama Varior, Mrinal Haloi, Gang Wang

However, current networks extract fixed representations for each image regardless of other images which are paired with it and the comparison with other images is done only at the final level.

Person Re-Identification

An Unsupervised Method for Detection and Validation of The Optic Disc and The Fovea

no code implementations25 Jan 2016 Mrinal Haloi, Samarendra Dandapat, Rohit Sinha

In this work, we have presented a novel method for detection of retinal image features, the optic disc and the fovea, from colour fundus photographs of dilated eyes for Computer-aided Diagnosis(CAD) system.

Traffic Sign Classification Using Deep Inception Based Convolutional Networks

2 code implementations10 Nov 2015 Mrinal Haloi

In this work, we propose a novel deep network for traffic sign classification that achieves outstanding performance on GTSRB surpassing all previous methods.

Classification General Classification +2

Improved Microaneurysm Detection using Deep Neural Networks

no code implementations17 May 2015 Mrinal Haloi

In this work, we propose a novel microaneurysm (MA) detection for early diabetic retinopathy screening using color fundus images.

General Classification

A Gaussian Scale Space Approach For Exudates Detection, Classification And Severity Prediction

no code implementations4 May 2015 Mrinal Haloi, Samarendra Dandapat, Rohit Sinha

In the context of Computer Aided Diagnosis system for diabetic retinopathy, we present a novel method for detection of exudates and their classification for disease severity prediction.

General Classification severity prediction

A Robust Lane Detection and Departure Warning System

no code implementations28 Apr 2015 Mrinal Haloi, Dinesh Babu Jayagopi

For lane detection a modified Inverse Perspective Mapping using only a few extrinsic camera parameters and illuminant Invariant techniques is used.

Lane Detection Optical Flow Estimation

Vehicle Local Position Estimation System

no code implementations23 Mar 2015 Mrinal Haloi, Dinesh Babu Jayagopi

A modified Inverse Perspective Mapping, illuminant Invariant techniques and object detection based approach is used to localize the vehicle in the road.

object-detection Object Detection

A novel pLSA based Traffic Signs Classification System

no code implementations23 Mar 2015 Mrinal Haloi

In this work we developed a novel and fast traffic sign recognition system, a very important part for advanced driver assistance system and for autonomous driving.

Autonomous Driving Classification +2

Characterizing driving behavior using automatic visual analysis

no code implementations13 Mar 2015 Mrinal Haloi, Dinesh Babu Jayagopi

In this work, we present the problem of rash driving detection algorithm using a single wide angle camera sensor, particularly useful in the Indian context.

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