1 code implementation • 31 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.
Ranked #1 on
Table Detection
on STDW
1 code implementation • 19 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.
no code implementations • 22 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.
no code implementations • 6 Jun 2017 • Mrinal Haloi
Generalization error defines the discriminability and the representation power of a deep model.
no code implementations • 28 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.
Ranked #117 on
Person Re-Identification
on Market-1501
no code implementations • 25 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.
2 code implementations • 10 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.
no code implementations • 17 May 2015 • Mrinal Haloi
In this work, we propose a novel microaneurysm (MA) detection for early diabetic retinopathy screening using color fundus images.
no code implementations • 4 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.
no code implementations • 28 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.
no code implementations • 23 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.
no code implementations • 23 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.
no code implementations • 13 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.